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"total":215,
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"freshness":["Live","Within an hour","Within a day","Within a week","Within a month","Within a year","Stored, age unknown"],
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residential or commercial","operating location address state","operating location address street","operating location address street line 2","operating location address virtual","operating location ID","operating location name","organization alternate name","organization status","organization structure","origin state","original filing date","other cargo","other cargo description","other entity name 1","other entity name 2","other entity name 3","other identifiers","other names","other website URLs","OTS docket number","out of service","out of service date","owned buses (16 or more passengers)","owned buses of 16 or more passengers","owned limousines (1 to 8 passengers)","owned limousines (16 or more passengers)","owned limousines (9 to 15 passengers)","owned limousines of 1 to 8 passengers","owned limousines of 16 or more passengers","owned limousines of 9 to 15 passengers","owned school buses (1 to 8 passengers)","owned school buses (16 or more passengers)","owned school buses (9 to 15 passengers)","owned school buses of 1 to 8 passengers","owned school buses of 16 or more passengers","owned school buses of 9 to 15 passengers","owned tractors","owned truck tractors","owned vans (1 to 8 passengers)","owned vans (9 to 15 passengers)","owned vans of 1 to 8 passengers","owned vans of 9 to 15 passengers","ownership type","page size","Palm ID","paper products cargo","parent certificate number","passenger vehicle count","passengers cargo","people","periodic report month","person address","person designation","person name match","person titles","phone numbers","phone type","physical address city","physical address state","physical address street","physical address undeliverable","physical address ZIP code","physical barrio","physical city","physical country","physical county","physical nationality indicator","physical OMC region","physical state","physical street","physical ZIP code","possible alternatives","postal code","practice location addresses","pretax return on assets","previous entity names","primary county","primary domain","primary practice location address","primary regulator","principal address city","principal address country code","principal address line 1","principal address line 2","principal address postal code","principal address state","principal city","principal office address","principal person address line 1","principal person address line 2","principal person city","principal person country code","principal person first name","principal person last name","principal person name","principal person postal code","principal person state or province","principal person titles","principal state","principal ZIP code","principals","prior revocation flag","prior revoke flag","prior revoke USDOT number","prior revoked USDOT number","profile URL","profit flag","profit or nonprofit","property type","quarterly net income","quarterly return on assets","quarterly return on equity","QubitOn unique ID","RA standing","raw NTEE code","raw state record","recent filing date","record add date","record added date","record created at","record type","record updated at","refrigerated food cargo","registered address city","registered address deliverable","registered address delivery type","registered address postal code","registered address residential or commercial","registered address state","registered address street","registered address street line 2","registered address type","registered address virtual","registered agent address country code","registered agent address line 1","registered agent address line 2","registered agent is commercial","registered agent mailing address","registered agent postal code","registered agent resigned","registered agent resigned date","registered agent standing","registered agent street address","registered entity ID","registered entity type","registered person name","registered person titles","registrant name","registrant URL","registration addresses","registration jurisdiction","registration name","registration number","registration source","registration sub-status","registrations","registry authority","registry record URL","related websites","report date","report due date","report file URL","report ID","representatives","response code","response reason","result source","results truncated","return on assets","return on equity","review tasks","run date","sanctions and watchlist matches","sanctions clear","school bus count","score","scraped at","scraper built at","scraper version","screenshot succeeded","screenshot URL","search result title","search results screenshot URL","searched by","searched state","secondary entity number","secondary regulator","Secretary of State URL","section of law","service of process city","service of process state","service of process street address","service of process ZIP code","SIC","SIC description","signature","Signzy ID","similar entities","site platform","slug","social links","SoS address verification","SoS name verification","source date","source result code","source unique ID","specialization group","stale","standardized address","standardized status","standing","state address city","state address state","state address street","state address ZIP code","state charter flag","state code","state entity ID","state name","state of formation","state of incorporation","state of registration","state registry match","state tax ID","statement status","status detail","status details","status flag","street address barrio","street address line 2","street address nationality indicator","street address undeliverable flag","structure change codes","Subchapter S corporation flag","submission ID","submission status","submission status code","submission status message","submitted","submitted at","tags","tax number","tax-exempt status","taxonomies","taxpayer number","technologies","telephone","term leased buses of 16 or more passengers","term leased limousines of 1 to 8 passengers","term leased limousines of 16 or more passengers","term leased limousines of 9 to 15 passengers","term leased motorcoaches","term leased school buses of 1 to 8 passengers","term leased school buses of 16 or more passengers","term leased school buses of 9 to 15 passengers","term leased trailers","term leased truck tractors","term leased trucks","term leased vans of 1 to 8 passengers","term leased vans of 9 to 15 passengers","term-leased buses (16 or more passengers)","term-leased limousines (1 to 8 passengers)","term-leased limousines (16 or more passengers)","term-leased limousines (9 to 15 passengers)","term-leased motorcoaches","term-leased school buses (1 to 8 passengers)","term-leased school buses (16 or more passengers)","term-leased school buses (9 to 15 passengers)","term-leased tractors","term-leased trailers","term-leased trucks","term-leased vans (1 to 8 passengers)","term-leased vans (9 to 15 passengers)","ticker","tickers","TIN match result","TIN match status","total assets","total deposits","total records","trade names","trip leased buses of 16 or more passengers","trip leased limousines of 1 to 8 passengers","trip leased limousines of 16 or more passengers","trip leased limousines of 9 to 15 passengers","trip leased motorcoaches","trip leased school buses of 1 to 8 passengers","trip leased school buses of 16 or more passengers","trip leased school buses of 9 to 15 passengers","trip leased trailers","trip leased truck tractors","trip leased trucks","trip leased vans of 1 to 8 passengers","trip leased vans of 9 to 15 passengers","trip-leased buses (16 or more passengers)","trip-leased limousines (1 to 8 passengers)","trip-leased limousines (16 or more passengers)","trip-leased limousines (9 to 15 passengers)","trip-leased motorcoaches","trip-leased school buses (1 to 8 passengers)","trip-leased school buses (16 or more passengers)","trip-leased school buses (9 to 15 passengers)","trip-leased tractors","trip-leased trailers","trip-leased trucks","trip-leased vans (1 to 8 passengers)","trip-leased vans (9 to 15 passengers)","trust powers","U.S. mail cargo","ultimate certificate number","unique external ID","updated at","utility cargo","validation date","validation description","validation pass","validation result code","van count","verification ID","verification status","verification tasks","watchlist hits count","water well cargo","ZIP+4"]},
"same":["api","strengths","waterfall","resultsCap","startPerCall","monthlyFee","extras","addons","catchAllPerThousand","bounceRefund","history","countries","fullFamilyTree","checks","searchesIn","ends","perDay","concurrent"],
"facets":["defaults","provider","price","fields","billing","who","freshness","use","answer","paysFor"],
"ties":{"Business verification in United States":{"tied":["CharityAPI, $15 monthly","CharityAPI, $15 monthly, Paid","Cobalt Intelligence, $650 monthly","Cobalt Intelligence, $650 monthly, Committed volume tier, 400 lookups","DOT Open Data (FMCSA census, authority), free","DOT Open Data (FMCSA census, authority), free, No application token","Deepline, top-up","Deepline, top-up, Pay as you go","Eckari, pay as you go","Eckari, pay as you go, x402","Enigma, $20 monthly","Enigma, $20 monthly, Pro","Enigma, $20 monthly, Pro, POST /v2/kyb/","Enigma, $20 monthly, Pro, POST /v2/kyb/, 2,100 credits a month","FDIC BankFind, free","FMCSA QCMobile, free","Filed, $499 monthly","Filed, $499 monthly, Scale","OpenSOSData, $500 monthly","OpenSOSData, $500 monthly, Scale Cached","Palm, contact us","Palm, contact us, Custom pricing","Parse, $300 monthly","Parse, $300 monthly, Team","Pushbuild, top-up","Pushbuild, top-up, Added credit","QubitOn, contact us","QubitOn, contact us, Enterprise","Signzy, contact us","Signzy, contact us, Postpaid","Strale, top-up from €10","Strale, top-up from €10, Prepaid wallet","Strale, top-up from €10, Prepaid wallet, POST /v1/do","TIN Comply, $300 monthly","TIN Comply, $300 monthly, Enterprise Basic","Tax1099, $349 yearly","Tax1099, $349 yearly, Scale","Tax1099, $349 yearly, Scale, 250 requests a year","TaxBandits, pay as you go","TaxBandits, pay as you go, Core","Verifik, $49 monthly","Verifik, $49 monthly, Starter","datahub.transportation.gov, free","iDenfy, contact us","iDenfy, contact us, Enterprise partnership"],"movedPages":{},"canonicals":{"CharityAPI":"free-get-api-organizations-ein","Cobalt Intelligence\nGET /v1/search":"free-lookups-get-v1-search","Cobalt Intelligence":"free-lookups-post-fullverification","datahub.transportation.gov":"free-application-token","Deepline":"top-up-pay-as-you-go-post-api-v2-integrations-opensosdata-bulk-lookup-execute","DOT Open Data (FMCSA census, authority)":"free-application-token-get-resource-az4n-8mr2-json","Enigma":"100-pack-prepaid-credit-bundle-post-v2-kyb-kyb-identify","FDIC BankFind":"free-api-key","Filed":"pay-as-you-go","Netstate":"99-monthly","OpenSOSData":"free-post-v1-lookup","Palm":"free-pay-as-you-go-post-v1-business-registry-search","Parse\nGET /scraper/f1f62669-60b8-4b29-aa56-ebe8fe77d53f/search_companies_by_name":"free-get-scraper-f1f62669-60b8-4b29-aa56-ebe8fe77d53f-search-companies-by-name","Parse":"free-get-scraper-8ceea6f9-34d2-4d7f-adf1-fc7bdd90b476-search-entities","Pushbuild\nPOST /us-small-business-lookup/run":"free-post-us-small-business-lookup-run","Pushbuild":"free-post-czech-company-registry-run","QubitOn\nPOST /api/usbusinessregistration/lookup":"free-post-api-usbusinessregistration-lookup","QubitOn":"free-post-api-babusinessregistration-lookup","SOSfinder":"free","Strale\nPOST /v1/do\nKYB Essentials — United States":"free-trial-credits-post-v1-do-kyb-essentials-united-states","Strale":"free-trial-credits-post-v1-do-austrian-company-data","TaxBandits":"pay-as-you-go-core-post-verification-bulkfilerequest","TIN Comply":"100-pack-100-pack-post-api-v1-validate-company-details-lookup-by-name-address","TINCheck":"49-95-pack","Verifik\nPOST /v2/usa/company":"49-monthly-starter-post-v2-usa-company","Verifik":"49-monthly-starter-get-v2-ca-company"},"unindexed":["/business-verification-apis/idenfy/contact-us-enterprise-partnership-post-api-v2-sos-filing-documents","/business-verification-apis/pushbuild/free-post-us-small-business-lookup-run","/business-verification-apis/qubiton/free-post-api-usbusinessregistration-lookup","/business-verification-apis/signzy/contact-us-postpaid-post-api-v3-global-kyb-us-v2","/business-verification-apis/strale/free-trial-credits-post-v1-do-kyb-essentials-united-states","/business-verification-apis/tin-comply/100-pack-100-pack-post-api-v1-validate-company-details-lookup-by-name-address","/business-verification-apis/verifik/49-monthly-starter-post-v2-usa-company"]}},
"shared":[],
"notes":{"name":"The sheet's first column gives each row's name. No two rows on the sheet share a name. The name starts with the provider, then the plan's price. Some names: \"API Builderz, $50 monthly\", \"HarvestAPI, $280 pack\", \"Crawlbase, pay as you go\", \"Bright Data, top-up\" (a prepaid balance of any amount), \"AnyAPI, top-up from $10\" (a balance you top up by $10 or more), \"free\" or \"contact us\". Two plans with the same price also get the plan's name. We drop any words in the plan's name that the price already gives. If two rows share a name after that, we add the call's method and path to each name. When two names still match, we add the plan's units. When they still match after that, we add the call's name. The sheet's own CSV and JSON files have no name column. datacircle.json and datacircle.csv have a name column with the same names as the sheets.","api":"This column names each row's API. Each API has a sheet in the GTM APIs list. Most sheets share the API's name. For the rest, we give the sheet's name after the API. \"Employee profile\", on the LinkedIn profiles sheet, returns a person's LinkedIn profile. \"Employee email\", on the Find email sheet, finds a person's work email. \"Email validation\", on the Validate email sheet, checks whether an email address takes mail. \"Employee phone\", on the Find phone sheet, finds a person's phone number. \"Company profile\", on the LinkedIn company profiles sheet, returns a company's LinkedIn page. \"Company headcount\" counts a company's staff. \"Phone validation\", on the Validate phone sheet, checks whether a phone number is valid. \"Post comments\", on the LinkedIn post comments sheet, returns the comments on a LinkedIn post. \"Post reactions\", on the LinkedIn post reactions sheet, returns the reactions to a LinkedIn post, each with the person who reacted. \"Employee lookalikes\", on the Similar people sheet, returns people similar to the person you send. \"Company lookalikes\", on the Similar companies sheet, returns companies similar to the company you send. \"Company technologies\" returns the tools a company uses. \"Company job count\" counts the jobs a company has open on LinkedIn. \"Employee posts\", on the LinkedIn person posts sheet, returns a person's LinkedIn posts. \"Company posts\", on the LinkedIn company posts sheet, returns a company's LinkedIn posts. \"Company funding\" returns a company's funding rounds. \"Company jobs\", on the Company open jobs sheet, returns the jobs a company has open. \"Employee search\", on the LinkedIn people search sheet, finds people by job title, company and place. \"Company search\", on the LinkedIn company search sheet, finds companies by industry, size and place. \"Job search\", on the LinkedIn job search sheet, finds jobs by title, company and place. \"Reverse email lookup\" finds the person behind an email address. \"Post search\", on the LinkedIn post search sheet, finds posts by keyword. \"Post details\", on the LinkedIn post details sheet, returns a post from the post's URL or ID. \"Job details\", on the LinkedIn job details sheet, returns a job from the job's URL or ID. \"Employee comments\", on the LinkedIn person comments sheet, returns the comments a person left on posts. \"Employee reactions\", on the LinkedIn person reactions sheet, returns the posts a person reacted to. \"Post reposts\", on the LinkedIn post reposts sheet, returns the people who reposted a LinkedIn post. \"Employee recommendations\", on the LinkedIn person recommendations sheet, returns the recommendations on a person's LinkedIn profile. \"Job lookalikes\", on the Similar jobs sheet, returns jobs similar to the job you send. \"Employee articles\", on the LinkedIn person articles sheet, returns a person's LinkedIn articles. \"Company enrichment\" returns a company's profile from each seller's own database. \"People search\" finds people in each seller's own database. \"Company discovery\" finds companies in each seller's own database. \"Job postings\" finds job postings in each seller's own database. \"Job posting details\" returns a job posting from the posting's ID. \"Person enrichment\" returns a person's profile. \"Leadership changes\" returns the new hires, promotions and departures in a company's senior roles. \"Company hierarchy\" returns a company's parent companies and subsidiaries. \"Web search\" returns the web pages that match a query. \"SERP\" returns a search engine's results page as data. \"News search\" returns the news articles that match a query. \"Image search\" returns the images a search engine finds for a query, in the order the engine ranks them. \"Video search\" returns the videos a search engine finds for a query, in the order the engine ranks them. \"Search autocomplete\" returns the searches a search engine suggests as you type a query. \"Web scraping\" returns a page's content from the page's URL. \"Keyword research\" returns a keyword's search volume, cost per click and competition. \"Ranked keywords\" returns the keywords a domain ranks for in Google, with the domain's position and traffic for each keyword. \"Related keywords\" returns keywords like the keyword you send, with the search volume of each. \"Backlinks\" returns the links that point to a domain. \"Domain authority\" returns a domain's authority score and the number of links to the domain. \"X profile\" returns an X (Twitter) account's profile from the account's handle. \"X posts\" returns an X account's posts. \"Instagram profile\" returns an Instagram account's profile. \"Instagram posts\" returns an Instagram account's posts. \"TikTok profile\" returns a TikTok account's profile. \"TikTok videos\" returns a TikTok account's videos. \"YouTube channel\" returns a YouTube channel's name, subscribers and description. \"YouTube channel videos\" returns a YouTube channel's videos. \"Reddit profile\" returns a Reddit account's profile. \"Reddit posts\" returns a Reddit account's posts. \"Facebook page\" returns a Facebook page's details from the page's URL. \"Facebook posts\" returns a Facebook page's posts. \"Threads profile\" returns a Threads account's profile. \"Threads posts\" returns a Threads account's posts. \"Bluesky profile\" returns a Bluesky account's profile. \"Bluesky posts\" returns a Bluesky account's posts. \"Telegram channel\" returns a Telegram channel's details. \"Telegram channel posts\" returns a Telegram channel's posts. \"Pinterest search\" returns the pins Pinterest finds for a query. \"Pinterest pin\" returns a Pinterest pin's details. \"Pinterest board pins\" returns the pins on a Pinterest board. \"Pinterest user boards\" returns a Pinterest account's boards. \"Hacker News search\" returns the Hacker News stories for a query. \"Hacker News story comments\" returns the comments on a Hacker News story. \"Twitch profile\" returns a Twitch channel's profile. \"Twitch videos\" returns a Twitch channel's videos. \"Twitch clip\" returns a Twitch clip's details. \"Kick clip\" returns a Kick clip's details. \"Snapchat profile\" returns a Snapchat account's profile. \"Truth Social profile\" returns a Truth Social account's profile. \"Truth Social posts\" returns a Truth Social account's posts. \"GitHub profile\" returns a GitHub account's profile. \"GitHub repository\" returns a GitHub repository's details. \"GitHub user repositories\" returns a GitHub account's repositories. \"Douyin profile\" returns a Douyin account's profile. \"Douyin user videos\" returns a Douyin account's videos. \"Douyin video\" returns a Douyin video's details. \"Weibo profile\" returns a Weibo account's profile. \"Weibo user posts\" returns a Weibo account's posts. \"Weibo post\" returns a Weibo post's details. \"Xiaohongshu profile\" returns a Xiaohongshu (RedNote) account's profile. \"Xiaohongshu user notes\" returns a Xiaohongshu account's notes. \"Xiaohongshu note\" returns a Xiaohongshu note's details. \"Zhihu profile\" returns a Zhihu account's profile. \"Zhihu question answers\" returns the answers to a Zhihu question. \"Kuaishou profile\" returns a Kuaishou account's profile. \"Kuaishou user videos\" returns a Kuaishou account's videos. \"Kuaishou video\" returns a Kuaishou video's details. \"Bilibili profile\" returns a Bilibili account's profile. \"Bilibili user videos\" returns a Bilibili account's videos. \"Bilibili video\" returns a Bilibili video's details. \"Facebook ads\" returns a company's ads from Meta's Ad Library. \"Google ads\" returns a company's ads from Google's Ads Transparency Center. \"LinkedIn ads\" returns a company's ads from LinkedIn's Ad Library. \"TikTok ads\" returns a company's TikTok ads. \"G2 reviews\" returns a software product's reviews on G2. \"Capterra reviews\" returns a software product's reviews on Capterra. \"Trustpilot reviews\" returns a company's reviews on Trustpilot. \"Glassdoor reviews\" returns a company's reviews on Glassdoor, written by people who work or worked there. \"App Store app\" returns an app's listing on the App Store from the app's App Store ID. \"App Store reviews\" returns an app's reviews on the App Store. \"Google Play app\" returns an app's listing on Google Play from the app's package name. \"Google Play reviews\" returns an app's reviews on Google Play. \"Amazon product\" returns a product's listing on Amazon from the product's ASIN. \"Amazon search\" returns the products Amazon finds for a query, in the order Amazon ranks them. \"Google Shopping product\" returns a product's offers on Google Shopping from the product's Google Shopping ID. \"Google Shopping search\" returns the products Google Shopping shows for a query, in the order Google Shopping ranks them. \"Walmart product\" returns the Walmart listing for a Walmart ID. \"Walmart search\" returns the products Walmart finds for a query, in the order Walmart ranks them. \"eBay product\" returns the eBay listing for a listing ID. \"eBay search\" returns the listings eBay finds for a query, in the order eBay ranks them. \"eBay sold listings\" returns the listings eBay shows as sold for a query, newest sale first. \"TikTok Shop product\" returns the listing at a TikTok Shop product link. \"TikTok Shop search\" returns the products TikTok Shop finds for a query, in the order TikTok Shop ranks them. \"Facebook Marketplace listing\" returns one listing from the listing's link or ID. \"Facebook Marketplace search\" returns the listings Facebook Marketplace shows for a search term in a city. \"Zillow search\" returns the homes Zillow lists in a place, in the order Zillow ranks them. \"Zillow property\" returns a home's Zillow listing from the home's Zillow URL. \"Redfin search\" returns the homes Redfin lists in a ZIP code, in the order Redfin ranks them. \"Redfin property\" returns a home's Redfin listing from the home's Redfin URL. \"Realtor.com search\" returns the homes Realtor.com lists in a place, in the order Realtor.com ranks them. \"Realtor.com property\" returns a home's Realtor.com listing from the home's Realtor.com ID. \"App Store search\" returns the apps the App Store finds for a query, in the order the App Store ranks them. \"Google Play search\" returns the apps Google Play finds for a query, in the order Google Play ranks them. \"ChatGPT answer\" returns ChatGPT's answer to a prompt. \"Perplexity answer\" returns Perplexity's answer to a prompt. \"Gemini answer\" returns Gemini's answer to a prompt. \"Bing Copilot answer\" returns Bing Copilot's answer to a prompt. \"Google AI Overview answer\" returns the AI Overview Google shows for a prompt, over its search results. \"Google AI Mode answer\" returns the answer Google's AI Mode gives a prompt. \"Business verification\" looks a company up by legal name in a state's register and returns the register's record of the company. \"Local business search\" finds businesses on a map that match your search in an area. You get each business's address, phone and website when the map lists them. \"Local business reviews\" returns a business's reviews on a map. You send the business's place ID. \"Domain WHOIS\" returns a domain's WHOIS record: who registered it, its registrar, and when it was created, last updated and expires. \"IP company lookup\" returns the name of the company or network that owns an IP address. Some answers give the owner's domain, kind of owner or ASN too.","score":"We score each plan out of 100 on five parts: price, accuracy, cost to get started, bundled calls and performance. We score accuracy and performance from our benchmark of the provider's call. Until we benchmark the call, the plan's accuracy, performance and Overall scores are N/A. The accuracy, performance and Overall scores are also N/A on a plan that lacks a check or feature the benchmarked plan has. The accuracy, performance and Overall scores are also N/A when we can't tell which benchmark score fits the plan. A plan whose accuracy score is 0 has an Overall score of 0, whatever the plan's other scores. Each API's sheet shows what we measured on each benchmarked plan, in the columns after the price. We rank a plan's price per 1,000 against the other scored plans of the same API. We score cost to get started and bundled calls on the plan alone. We give N/A to yearly plans, contact us plans and plans over $500 to start. We also give N/A to plans bought on a marketplace and plans that need your own LinkedIn, X or WhatsApp account. We score a free plan only when the provider has no paid plan for that call. The free plan must never end. Any limit on the plan's calls must reset each day or sooner. Other free plans get N/A. A plan we don't score gets no score for any of the five parts, even when we benchmarked the call. Click Score in the sheet's bar to set the five weights. The JSON, datacircle.json and datacircle.csv give each plan's score at the default weights. A plan with N/A has an empty score in the JSON, datacircle.json and datacircle.csv. The sheet's CSV has no scores.","Price score":"The plan's price score out of 100. We rank the plan's $ per 1,000 against the $ per 1,000 of the other scored plans of the same API. A plan that charges nothing for a call that finds nothing keeps the whole price score. A plan that charges full price for a call that finds nothing keeps half the price score. Some plans give no $ per 1,000. For those plans, when each call returns one result, we use the price our benchmark paid per call. We scale that price by what a credit costs on the plan. We skip our benchmark's price for a plan if another paid plan for the same call lists a $ per 1,000. Plans for one call can each charge a different price per call. On the sheet, click or tap the score to see how we worked out the score.","Accuracy score":"The plan's accuracy score out of 100, from our benchmark of the provider's call. On some APIs, the score measures how complete the call's answer is. On others, the score measures how often the answer is right. We lower the score when we test the call on fewer inputs than the benchmark has. Until we benchmark the call, the score is N/A, and so is the Overall score. The accuracy, performance and Overall scores are also N/A on a plan that lacks a check or feature the benchmarked plan has. The accuracy, performance and Overall scores are also N/A when we can't tell which benchmark score fits the plan. On the sheet, click or tap the score to see how we scored the plan. Each API's sheet shows what we measured on each benchmarked plan, in the columns after the price.","Cost to get started score":"The plan's score out of 100 for getting your first result. The score weighs who can get the plan, how you pay, and the least you pay to start. On the sheet, click or tap the score to see why.","Bundle score":"The plan's score out of 100 for the other calls the plan's price gets you. Also pays for lists those calls. On the sheet, click or tap the score to see why.","Performance score":"The plan's performance score out of 100, from our benchmark of the provider's call. We divide the fastest benchmarked provider's median time by this provider's median time, then multiply by 100. We compare live calls with live calls, and calls that answer from a copy with each other. Some sheets have both kinds of call. On those sheets, each Performance score shows the group we compare the score with: \"among live calls\" or \"among copies\". A median under 0.1 s counts as 0.1 s, since the baseline we take off varies by about that much. The Performance score and the Overall score are N/A until we benchmark the call. The accuracy, performance and Overall scores are also N/A on a plan that lacks a check or feature the benchmarked plan has. The accuracy, performance and Overall scores are also N/A when we can't tell which benchmark score fits the plan. If the call gave no answer we could time, the Performance score is N/A. The Overall score then counts Performance as 0. The Performance score is N/A when we timed no other call of the same kind in the same benchmark. The Overall score then leaves Performance out. On the sheet, click or tap the score to see how we scored the plan. Each API's sheet shows what we measured on each benchmarked plan, in the columns after the price.","perThousand":"The price of 1,000 companies on this plan, in dollars. The price is 0 on a free plan. A lifetime plan is one you pay for once. Its units come back each day or month, with no end. On a lifetime plan, we spread the price over 24 months of units. On a plan that charges by the call, each call asks for one company. We add the Start fee to each company's price. When the call has a Minimum per call above that, each company costs the minimum. On a plan that charges by the page, we divide a page's price by the most results one page holds. Then we multiply by 1,000. We leave the price blank when the provider doesn't say how many results a page holds. On a search that charges by the page, we price the first page of each search, whatever the page holds. On a flat fee, we take the most companies the plan allows in one month. We multiply those companies by the months the fee covers. We divide the fee by that total. Then we multiply by 1,000. We leave the price blank when the provider doesn't say how many companies the plan allows. A plan with no end date and only limits per second, minute, hour or day has no cap on companies. A flat fee with no cap on companies shows \"no limit\" on the sheet. We leave the price blank in the CSV and JSON. On a waterfall's paid plan, we show the average cost of a call. We take the price of each provider listed under Waterfall. We weight each price by how often a call reaches that provider. We leave the price blank when a provider a call can reach has no hit rate or page size. On a plan with a Monthly fee, we first subtract one month of the fee from the plan's units. Then we divide the plan's price by the number of companies the remaining units buy. Then we multiply by 1,000. We leave the price blank when the Monthly fee uses up all the plan's units. Some plans limit calls per second, minute, hour, day or month. We divide the price by the companies the limit allows, if that is fewer than the companies you pay for. Then we multiply by 1,000. We leave the price blank on a top-up, because a top-up buys no fixed number of companies. We also leave the price blank when the provider's website doesn't say what a company costs on this plan. We leave the price blank, too, when the website doesn't say how many companies the price buys.","per":"The price counts a \"call\" or a \"result\". A call asks for one company. A result is each company a call returns. Some calls return a page of results. \"result\" means you pay for each result on the page. \"page of 50\" means you pay for each page of up to 50 results. You pay for a whole page even when the page holds fewer than 50. In the JSON, resultsPerPage is the most results a page holds. resultsPerPage is null when the price isn't per page or the provider doesn't say the page size. \"page, size not stated\" means the provider doesn't say how many results a page holds. On a search, a call is one search, and a \"page of 10\" holds up to 10 results. The price is for the first page of each search. Each further page costs the same as the first page.","billing":"How you pay. \"free\": the plan costs nothing. \"on-demand\": you pay for what you use, with nothing to buy first. \"one-time\": a pack or a top-up you pay for first, then use. \"contact\": no public price, so you ask the provider for one. A subscription: \"monthly\", \"quarterly\" (every three months), \"half-yearly\" (every six months) or \"yearly\". The sheet shows \"one-time\" as \"pay first\" and \"on-demand\" as \"pay as you go\".","perMonth":"On a subscription: the plan's price for one month in dollars. We divide the plan's Pay by the months the plan buys (termMonths), 12 on most yearly plans. We work out this price for the sheet, to the cent. The sheet's CSV and JSON leave this price out. datacircle.json and datacircle.csv have this price. Blank (null) on every other plan.","notFoundPerThousand":"What you pay for 1,000 companies the provider can't find. 0 when the provider charges nothing for them, as on free plans. On a waterfall, the cost of a call when no provider finds the answer. That cost is the sum of the prices of the providers that charge for a miss.","strengths":"The plan's strengths, which we work out from the plan's row. Each strength is a band that many plans of the same API are in. Strengths differ by API. We list and explain them under Strengths on datacircle.dev/fields. Only LinkedIn profiles and Find email have strengths so far. Blank ([] in the JSON) when the plan has none, and then the plan's page leaves Strengths out. Under Filters, you see only the rows with every strength you tick.","aggregators":"Aggregators like treg and Deepline sell the row's call. With one aggregator account, you reach many providers. Each cell gives what a call costs through the aggregator with your own provider key. The cell also gives what 1,000 companies cost when you pay the aggregator and have no account at the provider: \"treg: your key free, paid $1.50\". We add \"per 1,000 results\" when the aggregator charges per result found. We say \"paid, no fixed price\" when the aggregator publishes no price. When an aggregator charges by the page, we divide a page's price by the most results one page holds. Then we multiply by 1,000. We write \"paid, page size not stated\" when the aggregator doesn't say how many results a page holds. Some aggregators list the call but don't say whether you pay them or use your own key. For those, we write \"listed, how it's sold not stated\". An aggregator may sell one of the provider's calls without saying which. Then the cell ends with \"this call or another\", the provider's name and \"call\": \"this call or another Pubrio call\". A cell says \"none\" when no aggregator we checked for the row's API sells the call. A blank cell (null in the JSON) means we haven't checked any aggregator for that API. We skip calls an aggregator doesn't list. In the JSON, each aggregator has these keys. aggregator is the aggregator's name. url is the aggregator's page for the call. ownKey is what a call costs there with your own key, or null when you can't use yours. paid is true when you can pay the aggregator. paid and ownKey are both null when the aggregator doesn't say how the call is sold. callStated is false when the aggregator doesn't say whether the call is this one or another of the provider's. usd is the aggregator's price in dollars for one per, or null when the aggregator sets no price. perThousand is the aggregator's price in dollars for 1,000. per is \"call\", \"result\" or \"page\". resultsPerPage is the most results a page holds, or null.","waterfall":"Some routers, like treg's, try one provider after another until one finds the answer. On a router's call, the Waterfall column lists each provider the router tries, in order. After each provider, we give in brackets the name the router uses for that provider's call. Then we give the provider's price per 1,000 on this plan and how often the provider finds the answer. For Validate email and Validate phone, we give how often the provider checks what you send. We count a check whether the provider's verdict is right or wrong. We add \"misses billed\" when the provider charges for a miss. For a provider that charges by the page, we divide a page's price by the most results one page holds. Then we multiply by 1,000. We write \"page size not stated\" when the provider doesn't say how many results a page holds. The router publishes how often each provider finds an answer over all the router's calls. We assume each provider finds answers at the published rate. We assume this even on calls where the earlier providers found nothing. We leave the Waterfall column blank on calls with a single provider. In the JSON, each provider in the Waterfall is a step with these keys. provider is the provider's name. call is the provider's call, which you can also make alone. perThousand, per and resultsPerPage mean the same as the keys of the same names on a plan's row. hitRate is from 0 to 1, or null when the router publishes no rate. missesBilled is true when the provider charges for a miss.","repeatFree":"On a call that costs units: how long you can get a paid company again for free. On a flat fee with a call limit, the time before the same company counts toward the limit again. We copy the time from the provider's pages, like \"20 minutes\". \"no limit\" means the provider never charges again for a company you paid for once. \"never\" means the provider charges each time you get the company again. Blank when the provider's pages don't say.","resultsCap":"For a search API: the most results one search gets on this plan, however many pages you ask for. \"no limit\" when the provider says you can get every match. Blank (null in the JSON) when the provider's docs don't say, or when the API isn't a search. On a plan that charges by the page, you pay for each page you ask for.","startPerCall":"A fee in dollars you pay once for each call, on top of the price per company. An Apify Actor's start fee is one. You pay the same fee for a call of 1,000 companies or a call of one company. On a plan that charges by the call, each call asks for one company. On that plan, the $ per 1,000, List $ per 1,000, Overage and Enough for columns all count the Start fee. On a plan that charges by the result or the page, a call can return any number of results. On those plans, the $ per 1,000, List $ per 1,000, Overage and Enough for columns leave the Start fee out. The Start fee is $0.00 on a free plan, and blank when the plan has no start fee. A provider's page can give a range, like \"2-3 credits\". startPerCall then holds the lowest fee and startPerCallMax holds the highest. The sheet and the CSV show \"$0.04 to $0.06\". startPerCallMax is blank on a plan with one start fee or none.","monthlyFee":"You pay this fee each month to use the call. The provider takes the fee from your plan's units. For example, RouterGrowth charges $9.625 a month for each connected LinkedIn account. monthlyFee is the fee in dollars. On a free plan, the provider can take the fee from your free credits. We treat each free credit as worth the provider's lowest price for one credit on this call. monthlyFeePer names what one fee pays for, such as \"LinkedIn account\". The Enough for column counts only the units left after you pay one month's fee. The $ per 1,000 column does the same. The Monthly fee column is blank (null in the JSON) when the call has no monthly fee.","extras":"Fields that cost more than the row's price. Each group of extra fields has fields and perThousand. perThousand is the price you pay on top of the row's price. Some providers charge for each search and also for the extra fields on each result. For those providers, perThousand is the price for 1,000 searches. We assume each search returns the most results the plan allows.","Also pays for":"The other calls you get for the plan's price. The other calls each have a separate limit. We use the provider's words, in English where the provider writes them in another alphabet, as the Call column does. When a plan pays for more than 40 other calls, we write their count instead, like \"300 other calls\". We leave out apps, extensions, MCP servers, proxies and storage, since they are not calls. We also leave out features you can use only in the provider's app, like sending the provider's email campaigns. For example, gtm-api.com's account price also buys 100 searches, 50 messages and 25 connection requests a day. \"nothing\" when you get only the row's call. The row's $ per 1,000 is for that call alone, since providers don't say how to split their price. Blank (null in the JSON) until we read the provider's plan. Also blank on a \"contact\" plan whose pages don't say what the price buys.","overagePerThousand":"On a subscription: dollars for each 1,000 companies you get past the plan's units, when the provider sells extra companies. On a plan that charges by the call, Overage includes the Start fee.","unitsCap":"\"hard\" means calls stop once the plan's units run out. \"soft\" means calls go on after the plan's units run out. Those calls cost the Overage price when the provider gives one. Blank (null in the JSON) when the provider's pages don't say.","addons":"On an email API's subscription: the packs of units the provider sells on top of the plan. We read them on the pricing page. Each pack has units and pay, in the plan's currency. renews is \"month\" or \"year\" when you pay for the pack again with the plan. renews is \"never\" when you buy the pack once. perThousand is dollars for 1,000 emails at the pack's price. The sheet's CSV says \"500 credits a month for $10 ($20.00 per 1,000)\". An empty list when the provider sells none. Blank (null) on every other plan.","catchAllPerThousand":"On an email API: dollars for 1,000 calls that return an address at a catch-all domain. Such a domain takes mail for any address. So you can't check whether the person's mailbox exists, and the email may bounce. 0 when such calls cost nothing, or when the provider returns no such address. The same as the row's $ per 1,000 when the provider charges for any address found. Blank when the provider's pages don't say.","bounceRefund":"On an email API: the credit or refund the provider gives when a paid address bounces. Also the conditions, in the provider's words, like \"the credit, reported from the dashboard or the API and reviewed\". \"never\" when the provider's pages say a bounced address stays charged. Blank when the pages don't say.","pitch":"How the provider sells the row's call, quoted from the call's own page. When one page covers all the provider's calls, we quote the provider's own pitch. \"[...]\" marks a cut.","freshness":"How old the answer may be, as the provider's pages say. \"live\": the provider gets the data at the moment you call. The provider reads sources like LinkedIn, company websites, job boards, search results, keyword data or a page you send. Or the provider finds or checks an email or phone number at the moment you call. Some providers keep each answer for an hour or less. They give the same answer to anyone who asks the same question in that time. We call a plan that keeps answers for an hour or less \"live\" too. Renidly, for example, keeps each answer for 20 minutes. \"1 month\" or \"30 days\": the provider answers from a copy and refreshes the copy as often as the value says. \"as of 2025-11-13\": from a copy last refreshed that day. \"stored\": from a copy with no date on the provider's pages. Some email or phone checks never ask the mail server or the carrier. They read only the format, the domain's DNS and the provider's own lists. We mark those checks \"stored\" too. Freshness is blank (null in the JSON) when the provider's pages don't say how fresh the answer is. Freshness is also blank when the pages don't agree with each other. Plans that answer from a copy are on the same sheet as the plans that read live. When the provider's pages give some fields a different freshness from the rest, we list those fields in brackets. fieldFreshness gives the freshness of each field in brackets. Bright Data's LinkedIn profile is \"live (current title, jobs, schools: as of 2025-11-13)\". LinkedIn put current title, jobs and schools behind a login wall. Bright Data serves those three fields from a copy.","history":"How far back the answers reach, on an API whose answers are dated. A company's funding rounds and open jobs are dated. \"since 2016\": back to 2016. \"open only\": only what is open now. \"the last 7 days\": a window that ends today. \"no limit\": every one ever. \", closed only\" after a value: the closed ones alone. Blank (null in the JSON) when the provider's pages don't say, or when the answers aren't dated.","countries":"On Validate phone, the countries whose numbers the call checks, like \"United States\". On Business verification, Company enrichment, Company discovery, Company hierarchy, Company headcount and Similar companies, the countries of the companies found. On People search, Person enrichment and Find email, the countries whose people the call finds. We take them from the provider's pages. \"Worldwide\": the call covers any country. \"Worldwide\" also means the call covers over 100 countries. Blank (null in the JSON) until we read the countries on the provider's pages. Also blank when the provider's pages don't list the countries. Blank on every other API.","fullFamilyTree":"On Company hierarchy, this column says whether one call gives the whole family tree. The whole tree runs from the top parent down each branch. \"yes\" (true in the JSON): one call gives the whole tree, counting every page of results the call returns. \"no\" (false): one call gives part of the tree, like the parents or one level of subsidiaries. You call again for each company to get the rest. The column is blank (null in the JSON) until we read the provider's website. The column is also blank when the provider's website doesn't say. Always blank on every other API.","checks":"This column lists the checks each call makes, as the provider's pages describe them. You find this column on the Validate email and Validate phone sheets. On Find email, the column lists the checks a finder makes on an address before giving you the address. A finder that asks the mail server takes longer than a finder that doesn't. On an email, \"format\": the address is well formed. \"mail servers\": the domain has servers that take mail. \"disposable domains\": the call spots a domain on a list of throwaway domains. \"role addresses\": the call spots a shared address, like sales@. \"mailbox\": the call checks with the mail server that the mailbox exists. On a number, \"numbering plan\": the number fits the rules of the number's country. \"carrier\": the call finds the carrier the number is with today. If the owner moved the number to a new carrier, you see the new carrier. \"line in service\": the call checks with the network that the line is live. \"messaging apps\": the call checks with a messaging app, like WhatsApp, that the number has an account there. A call without \"mailbox\" doesn't check the mailbox. Such a call can pass an address that bounces. The column is blank (null in the JSON) until we read the provider's pages. Also blank when the provider's pages don't say. Always blank on every other API.","searchesIn":"This column says where the call looks for posts. We read where the call looks on the provider's pages. You find this column on the LinkedIn post search sheet. \"LinkedIn's search\": the call runs LinkedIn's own search. \"Google's index\": the call searches Google for LinkedIn posts. Google sets how many posts the call can find. New posts show up only after Google indexes them. \"a search engine's index\": the call searches another search engine for LinkedIn posts. We also mark a call \"a search engine's index\" when the provider's pages don't name the search engine. \"the provider's own database\": the call searches a copy of LinkedIn posts the provider keeps. We leave the column blank (null in the JSON) when the provider's pages don't say. We leave the column blank for every other API.","keep":"How long the provider's terms let you keep the API's answers. \"no limit\" when the terms set none. \"no API terms\" when the provider has no API terms.","use":"What the provider's terms let you use the API's answers for. Also what the terms ask in return, like a link back or a credit. \"any\" when the terms limit nothing and ask nothing. \"no API terms\" when the provider has no API terms.","pay":"The plan's price, in the plan's currency. On a subscription, the price covers the months in termMonths. In the sheet's CSV, we write the months after the price. Some examples: \"$39.00/month\", \"€99.00/month\" on a plan in euros, or \"$468.00/15 months\" on gtm-api.com's yearly plan. A pack's Pay is the pack's price. A top-up's Pay is the smallest amount you can top up. On a top-up with no minimum from the provider, Pay is blank (null in the JSON). A free plan's Pay is $0.00. On a usage tier, Pay is what you pay each month for your calls below that tier. Each of those calls costs the price of the tier the call is in. Some tiers have a minimum. If your calls below the tier cost less than the minimum, you pay the minimum. When a usage tier sits on a subscription, you also pay the plan's price. Crawlbase has a tier for the next 10M requests. On that tier, Pay is $583: what you pay each month for your calls below the tier. On Mailgun's Foundation plan, you pay $95 a month for up to 5,000 validations. The $95 is the $35 plan plus $60 for the validations. On a pay-as-you-go plan, the sheet's Pay column shows Charged.","units":"What the plan gives for the price, counted in unit. On a usage tier, where the tier starts: \"from the 51st call a month\".","calls":"The number of companies you get for the plan's price, counted in per. On a plan that charges by the page, calls and monthlyCap count pages. calls is the number of companies the plan's units pay for: \"100 calls, once\" for a free trial, \"1,250 results a month\" for an allowance. On a plan that charges by the call, calls is the plan's units divided by the cost of one call. That cost includes the Start fee. A plan can limit calls per day or per month. Then calls is the most calls the limit allows before the units renew. The limit counts each call as one company. On a plan that charges by the page, the limit counts each call as one page. Say a plan allows 10,000 requests a month and 200 calls a day. You get 6,000 calls a month, because 30 days of 200 calls is 6,000. Some providers count each result toward the limit. A list you send in one call counts one result for each row. When a provider counts results, limitsCountedIn says \"result\", and calls and monthlyCap count results. A limit of 2,000 results a day allows 60,000 results in a month of 30 days. We fill monthlyCap when a call costs 0 units, like a call on a flat fee. monthlyCap is the most companies you get a month, or \"no limit\". On a plan with a daily or monthly limit, monthlyCap is the most calls in 30 days. 3,000 calls a day make 90,000. The Enough for column shows 3,000 calls a day as \"90,000 calls a month\". A call that charges by the result can take several companies at once. Each company then counts as one result: 50 calls a day of 10 companies make 15,000 results in 30 days. A call that returns a list, like a search, gets as many results as it finds. A limit on its calls doesn't cap its results. Any plan can limit calls per hour, minute or second. calls and monthlyCap also hold the most calls a limit per hour, minute or second allows. A limit of 50 calls an hour allows 36,000 calls in 30 days. We count a call limit in monthlyCap only when each call returns one company or a fixed-size page. Some providers say they limit the month but give no number. When such a plan has no daily or monthly limit, monthlyCap is null, whatever its limit per hour, minute or second. Such a limit says how fast you can call, not how many companies the month gives. On a free trial shorter than 30 days, monthlyCap is the most calls you get over the whole trial. The trial's calls never renew. A 7-day trial with 1,000 calls a day shows as \"7,000 calls, once\". Enough for shows calls, or monthlyCap when a row has no calls. On a plan with a Monthly fee, the provider first takes one month's fee from the plan's units. calls counts the calls left after the fee. We count the calls again each time the provider refills the plan's units. Enough for says \"0 calls left after the monthly fee\" when the fee uses up all the plan's units. Enough for is blank when the provider doesn't say how many companies you get. Enough for is also blank on pay as you go plans and on top-ups. Enough for is blank too on subscriptions that charge for each company on top of the fee. Enough for is also blank when a waterfall's average call costs nothing. calls and monthlyCap are null when Enough for is blank.","expires":"When the units you don't use lapse, in the provider's words: \"never\", \"365 days\", \"at renewal: unused credits do not carry over\". Blank when the provider's pages don't say.","ends":"The plan's last day, as the provider gives the date: 2026-12-02 for Explorium. We don't score a plan that ends. We don't link to the provider's site. The day after the last day, we take the plan off the sheet. Blank for plans with no last day.","perDay":"The most calls a day. Some providers count each result of a call instead, like each row of a list. limitsCountedIn says what the provider counts: \"call\", \"result\" or \"page\". The provider counts the same unit for this column and for the plan's monthly limit. limitsCountedIn says \"call\" when the provider's docs don't say.","perSecond":"The most calls a second you can keep up. When the provider counts a limit over a longer window, we divide the limit. We divide a limit per minute by 60, per 5 minutes by 300, per hour by 3,600. When the provider sets several limits, we show the tightest: 25 a second and 40 a minute is 0.67. We round to two decimals. A rate under 0.1 keeps two digits past the zeros: 5 an hour is 0.0014.","concurrent":"The most calls running at once, or \"no limit\". \"n/a\" when the provider sets no cap on calls at once but limits calls by the second. Then Per second sets your limit. Blank (null) when the provider's pages don't say.","batch":"The most companies in one call on this plan. 1 when the call takes one at a time. \"no limit\" when the provider says a call takes any number. Blank (null) when a call takes a list and the provider's pages don't say how many. A call that refuses fewer than a set number shows the fewest and the most, like \"2,000 to 2,000,000\". A call that needs at least 2,000 and has no top limit shows \"2,000 or more\". A call that needs at least 2,000 shows \"at least 2,000\" when the provider's pages don't give the top limit.","answer":"The way you get the call's answer. \"in the call\" when the call's response holds the answer. \"by polling or webhook\" when the call returns a job. Once the job is done, you get the answer from another call or at your webhook. \"in the call or by polling\" when the call returns the answer if the answer is ready in time. If the answer isn't ready, the call returns a job you check later. An Apify Actor returns a job when the run goes past 5 minutes. \"in the call or by webhook\" when you choose in your request. \"by polling\" when only another call gets the answer. \"by webhook\" when only a URL you give gets the answer. Blank (null) when the provider's pages don't say.","latencyMs":"The median time a call takes. For a benchmarked call, we show our benchmark's median. The API's benchmark columns show the same median. From each call's time, we subtract the mean time of three free calls to the same provider, made just before. If that mean is longer than the call, we use the provider's median baseline instead. We cap the baseline at the call's time, so no time is below zero. For a call we didn't benchmark, we show the time from the provider's pages. Or we show a time we measured when we added the row. On a plan without a check or feature of the benchmarked plan, we show the provider's time or our own. We leave the median blank (null) when we have no time. We also leave the median blank when the benchmarked call gave no answer we could time. The JSON and datacircle.csv give the time in milliseconds. The sheet and the sheet's CSV give the time in seconds.","send":"You send a company's legal name, and for some calls the company's US state or country. You must send every input listed before \"Optional:\". In the CSV and JSON downloads, the inputs after a semicolon are optional.","method":"The call's HTTP method.","path":"We give the path from the provider's docs. When that path fails, we give the path that works. Each plan of a call has the same path. A plan the provider serves at a separate address has a separate path.","plan":"The plan's name on the provider's pricing page, in English where that page writes it in another alphabet (XMLStock's \"Максимум\" is \"Maximum\"). Its plan page gives its own name too.","who":"Who the provider offers the plan to: \"anyone\", or the condition the provider's pages set, like \"anyone with a work email\" or \"on approval of an application\".","readFrom":"The pages we read the row's values from. They are the sheet's last column: click a cell to see each page, or press ⌘C to copy them all."},
"billed":{"free":"Free: nothing to pay","on-demand":"Nothing to buy first: you pay as you go","one-time":"You buy credit first, as a pack or any amount you like, then spend the credit on calls","contact":"No public price: you ask the provider for one","monthly":"A monthly subscription","quarterly":"A quarterly subscription","half-yearly":"A subscription for 6 months","yearly":"A yearly subscription"},
"defaults":["No contact us plans","No free plans","No yearly plans","$500 or less to start"],
"kept":31,
"free":true,
"paid":{"ranked":{"Business verification in United States":[0,0,0,0,0,0,0,0,0,0,0,0,0,0,0.0021,0.0021,0.0021,0.0021,0.8,0.99,2,5,5,5,7.5001,7.5001,7.5001,9.98,9.98,10,10,10,10,19.9,19.9,29.9333,30,30,31.4,31.4,31.4,39.6,40,44,44,49,49,50,50,50,60,75,75,75,86.9,86.9,90,100,100,100,300,300,300,300,350,350,399.95,400,400,400,400,439.9,500,500,500,500,639.8,699.5,750,750,750,750,798,799,799.9,800,800,800,800,900,900,900,900,959.8,979.5,999,1000,1000,1000,1000,1200,1428.5714,1500,1620,1687.95,2000,2380.9524,2500,2700,2813.25]},"bench":{"Business verification in United States|datahub.transportation.gov|/resource/az4n-8mr2.json":{"data":1,"performance":0.8771929824561403,"median":114,"measured":114,"fastest":"DOT Open Data (FMCSA census, authority), Company Census File","fastestMedian":100,"fastestMeasured":86,"side":"live","called":10,"inputs":50,"fewer":true,"days":["2026-11-08"],"row":"datahub.transportation.gov"},"Business verification in United States|DOT Open Data (FMCSA census, authority)|/resource/az4n-8mr2.json|Company Census File":{"data":1,"performance":1,"median":100,"measured":86,"fastest":"DOT Open Data (FMCSA census, authority), Company Census File","fastestMedian":100,"fastestMeasured":86,"side":"live","called":10,"inputs":50,"fewer":true,"days":["2026-11-08"],"row":"DOT Open Data (FMCSA census, authority), Company Census File"},"Business verification in United States|DOT Open Data (FMCSA census, authority)|/resource/inys-ebih.json|Motus Carrier - All With History":{"data":0.5714,"performance":1,"median":100,"measured":54,"fastest":"DOT Open Data (FMCSA census, authority), Company Census File","fastestMedian":100,"fastestMeasured":86,"side":"live","called":10,"inputs":50,"fewer":true,"days":["2026-11-08"],"row":"DOT Open Data (FMCSA census, authority), Motus Carrier - All With History"},"Business verification in United States|FDIC BankFind|/institutions":{"data":0.7857,"performance":0.44052863436123346,"median":227,"measured":227,"fastest":"DOT Open Data (FMCSA census, authority), Company Census File","fastestMedian":100,"fastestMeasured":86,"side":"live","called":10,"inputs":50,"fewer":true,"days":["2026-11-08"],"row":"FDIC BankFind, Institutions"},"Business verification in United States|MORVS|/api/v1/advisers/search":{"data":1,"performance":1,"median":100,"measured":47,"fastest":"MORVS, Adviser search","fastestMedian":100,"fastestMeasured":47,"side":"copy","called":10,"inputs":50,"fewer":true,"days":["2026-11-08"],"row":"MORVS, Adviser search"},"Business verification in United States|NPPES NPI Registry|/api/":{"data":0.7857,"performance":1,"median":100,"measured":0,"fastest":"MORVS, Adviser search","fastestMedian":100,"fastestMeasured":47,"side":"copy","called":10,"inputs":50,"fewer":true,"days":["2026-11-08"],"row":"NPPES NPI Registry, Read API"},"Business verification in United States|ProPublica Nonprofit Explorer|/search.json":{"data":0.7857,"performance":0.9090909090909091,"median":110,"measured":110,"fastest":"MORVS, Adviser search","fastestMedian":100,"fastestMeasured":47,"side":"copy","called":10,"inputs":50,"fewer":true,"days":["2026-11-08"],"row":"ProPublica Nonprofit Explorer, Search"}},"free":["Business verification in United States|datahub.transportation.gov|/resource/az4n-8mr2.json","Business verification in United States|DOT Open Data (FMCSA census, authority)|/resource/az4n-8mr2.json|Company Census File","Business verification in United States|DOT Open Data (FMCSA census, authority)|/resource/inys-ebih.json|Motus Carrier - All With History","Business verification in United States|FDIC BankFind|/institutions","Business verification in United States|FMCSA QCMobile|/carriers/docket-number/{docketNumber}|/carriers/docket-number/:docketNumber","Business verification in United States|FMCSA QCMobile|/carriers/{dotNumber}|/carriers/:dotNumber","Business verification in United States|FMCSA QCMobile|/carriers/{dotNumber}/basics|/carriers/:dotNumber/basics","Business verification in United States|MORVS|/api/v1/advisers/search","Business verification in United States|NPPES NPI Registry|/api/","Business verification in United States|ProPublica Nonprofit Explorer|/search.json"]},
"bench":{"groups":[{"name":"Entities checked","note":"On 8 November 2026, we sent each provider up to 50 companies, all from the same list. Some providers offer two different calls. We ran each call once per company. Time is each call minus a baseline, so the distance to the provider's servers drops out. Companies where we know the right answer. Called: the companies we called each provider on. Some provider accounts held too few lookups. We called those providers on as many companies as their lookups allowed. We started at the top of our list. Registered: the company's own legal page gives the company's legal name. A US company's page also names the state the company formed in. For US investment advisers, nonprofits and banks, we give the state of the company's main office. Registered, found: the call found the company under the name we gave. If we gave the call a state, the call also found the company in that state. A made-up name is two invented words and a company suffix, like Inc. or LLC. We searched the web for the name in quotes and found no company. We have a list of French companies too. The legal page of each French company names the company and the legal form, like SAS. The page also gives the company's number in France's register. The made-up French names end in SAS, SA or SASU. A call that looks up only France's register runs only on the French companies. We have a list of UK companies too. The legal page of each UK company names the company with Ltd, Limited or PLC. The page also gives the company's number in the UK's register, Companies House. The made-up UK names end in Ltd, Limited or PLC. A call that looks up only the UK's register runs only on the UK companies. We have a list of Czech companies. On each company's legal page, the name ends in s.r.o. or a.s. The page also gives the company's ID number in the Czech register. The Czech company names we made up end in s.r.o., a.s. or spol. s r.o. We call Czech-only APIs just for companies on our Czech list. Made up, said none: the call found no company for the name. Wrong: the call found no match for a registered company, or found a match for a made-up name. We set aside case, punctuation, spaces and the form of the suffix when we compare names. No answer: the call failed or the provider refused the call.","columns":[{"name":"Called","kind":"count","values":{"datahub.transportation.gov":[10,50],"DOT Open Data (FMCSA census, authority), Company Census File":[10,50],"DOT Open Data (FMCSA census, authority), Motus Carrier - All With History":[10,50],"FDIC BankFind, Institutions":[10,50],"MORVS, Adviser search":[10,50],"NPPES NPI Registry, Read API":[10,50],"ProPublica Nonprofit Explorer, Search":[10,50]}},{"name":"Registered, found","kind":"count","values":{"datahub.transportation.gov":[7,7],"DOT Open Data (FMCSA census, authority), Company Census File":[7,7],"DOT Open Data (FMCSA census, authority), Motus Carrier - All With History":[1,7],"FDIC BankFind, Institutions":[4,7],"MORVS, Adviser search":[7,7],"NPPES NPI Registry, Read API":[4,7],"ProPublica Nonprofit Explorer, Search":[4,7]}},{"name":"Made up, said none","kind":"count","values":{"datahub.transportation.gov":[3,3],"DOT Open Data (FMCSA census, authority), Company Census File":[3,3],"DOT Open Data (FMCSA census, authority), Motus Carrier - All With History":[3,3],"FDIC BankFind, Institutions":[3,3],"MORVS, Adviser search":[3,3],"NPPES NPI Registry, Read API":[3,3],"ProPublica Nonprofit Explorer, Search":[3,3]}},{"name":"Wrong","kind":"count","values":{"datahub.transportation.gov":[0,10],"DOT Open Data (FMCSA census, authority), Company Census File":[0,10],"DOT Open Data (FMCSA census, authority), Motus Carrier - All With History":[6,10],"FDIC BankFind, Institutions":[3,10],"MORVS, Adviser search":[0,10],"NPPES NPI Registry, Read API":[3,10],"ProPublica Nonprofit Explorer, Search":[3,10]}},{"name":"No answer","kind":"count","values":{"datahub.transportation.gov":[0,10],"DOT Open Data (FMCSA census, authority), Company Census File":[0,10],"DOT Open Data (FMCSA census, authority), Motus Carrier - All With History":[0,10],"FDIC BankFind, Institutions":[0,10],"MORVS, Adviser search":[0,10],"NPPES NPI Registry, Read API":[0,10],"ProPublica Nonprofit Explorer, Search":[0,10]}}]},{"name":"Time per registry lookup","note":"We time our first call on each company. Each time is the call's time minus a baseline. We time only right answers, however fast a wrong answer or no answer came. The baseline is the mean of three free calls to the same provider just before the call, on the same connection. If that mean is longer than the call, we use the provider's median baseline instead. We cap the baseline at the call's time, so no time drops below zero. If we checked for a provider's answer every few seconds, the time is when we saw the answer. The answer may have come a few seconds earlier. Nothing to time means the call found none of the registered companies. We have no answer to time. A \"not found\" answer to a name we made up does not show how fast the call is. The call gets an Accuracy score of 0 and a Performance score of N/A.","columns":[{"name":"Median","kind":"ms","values":{"datahub.transportation.gov":114,"DOT Open Data (FMCSA census, authority), Company Census File":86,"DOT Open Data (FMCSA census, authority), Motus Carrier - All With History":54,"FDIC BankFind, Institutions":227,"MORVS, Adviser search":47,"NPPES NPI Registry, Read API":0,"ProPublica Nonprofit Explorer, Search":110}},{"name":"10th percentile","kind":"ms","values":{"datahub.transportation.gov":48,"DOT Open Data (FMCSA census, authority), Company Census File":56,"DOT Open Data (FMCSA census, authority), Motus Carrier - All With History":43,"FDIC BankFind, Institutions":111,"MORVS, Adviser search":34,"NPPES NPI Registry, Read API":0,"ProPublica Nonprofit Explorer, Search":66}},{"name":"90th percentile","kind":"ms","values":{"datahub.transportation.gov":147,"DOT Open Data (FMCSA census, authority), Company Census File":122,"DOT Open Data (FMCSA census, authority), Motus Carrier - All With History":67,"FDIC BankFind, Institutions":398,"MORVS, Adviser search":74,"NPPES NPI Registry, Read API":5,"ProPublica Nonprofit Explorer, Search":184}},{"name":"Fastest","kind":"ms","values":{"datahub.transportation.gov":13,"DOT Open Data (FMCSA census, authority), Company Census File":49,"DOT Open Data (FMCSA census, authority), Motus Carrier - All With History":43,"FDIC BankFind, Institutions":109,"MORVS, Adviser search":32,"NPPES NPI Registry, Read API":0,"ProPublica Nonprofit Explorer, Search":39}},{"name":"Slowest","kind":"ms","values":{"datahub.transportation.gov":150,"DOT Open Data (FMCSA census, authority), Company Census File":163,"DOT Open Data (FMCSA census, authority), Motus Carrier - All With History":68,"FDIC BankFind, Institutions":436,"MORVS, Adviser search":86,"NPPES NPI Registry, Read API":7,"ProPublica Nonprofit Explorer, Search":199}},{"name":"Baseline","kind":"ms","values":{"datahub.transportation.gov":78,"DOT Open Data (FMCSA census, authority), Company Census File":101,"DOT Open Data (FMCSA census, authority), Motus Carrier - All With History":96,"FDIC BankFind, Institutions":111,"MORVS, Adviser search":31,"NPPES NPI Registry, Read API":89,"ProPublica Nonprofit Explorer, Search":21}}]},{"name":"The registry lookup call","note":"The provider's registry lookup, given the company's legal entity name. For a US company, we also give the state the company formed in, when the call takes a state. For a US investment adviser, nonprofit or bank, we give the state of the main office. We also show what one lookup cost on this run. GLEIF, Registry Lookup, CompanyData.com and GovFiles keep their own copy of company records. They answer from that copy. When we call, they do not check the state's register. GLEIF lists only companies that hold a Legal Entity Identifier. SAM.gov lists only the companies registered to do business with the US government. OneShot looks up the name in GLEIF's list. OneShot's lookup has no field for the state the company formed in, so we send OneShot only the name. CompanyData.com's search has no field for the state. We send CompanyData.com the company name and the country, the US. CompanyData.com's records don't say which state a company formed in. If we find a record under the company's name, we count the company as found. GLEIF and OneShot found none of the registered companies we tested. GovFiles charges for each company the search returns. INSEE and Annuaire des Entreprises search France's register. We send them the company's name without the legal form, like SAS. France's register keeps the legal form apart from the name. INSEE and Annuaire des Entreprises answer from a copy of the register that is updated every day. Companies House is the UK's register. We send Companies House the company's name with the legal form, like Ltd. Companies House stores each name with the legal form. Companies House has two search calls. We show each call on a separate row. Data8 searches Companies House records. We send Data8 the company name with the legal form, like Ltd. CompanyPulse searches Companies House records. We send CompanyPulse the company name with the legal form, like Ltd. ARES is the Czech register. We send ARES the company's name with the legal form, like s.r.o. ARES stores each name with the legal form. CZ Agents searches ARES records. We send CZ Agents the company name with the legal form, like s.r.o. CZ Agents keeps each answer for an hour. NeuralVerge has a search call for each of 35 national company registers. We ran the UK call on our UK companies, the French call on our French companies and the Czech call on our Czech companies. We send NeuralVerge's UK and Czech calls the company name with the legal form. We send NeuralVerge's French call the company name without the legal form. NeuralVerge reads the register's website each time we call. Each call returns up to 25 companies. NeuralVerge charges for each company in the answer. NeuralVerge's French call gives some names with the company's short name in brackets at the end. For those names, we also compare the name with the brackets and short name removed. Dataroia's and Driva's calls take a company number, not a name. We send Dataroia each French company's SIREN number. We send Driva each Brazilian company's CNPJ number. For each made-up company name, we send a made-up number. Hong Kong Companies Registry gives back the companies whose names start with the name we send. When no company name starts with the name we send, Hong Kong Companies Registry answers with an error page. We count that error page as finding no company. Hong Kong Companies Registry's open data is a copy of its register, updated every day. Entyrix's call takes a company number, not a name. We send Entyrix each Slovak and Czech company's IČO number. For each made-up company name, we send Entyrix a made-up IČO number. Latinfo's Colombian and Peruvian searches take the company name without the legal form. W System's KYB call reads GLEIF's list for Slovakia, Belgium, Ireland, Latvia and Denmark. We send CompanyBook the company name without the legal form, like AD. Filed's search skips the state register in Delaware and most other states. Virkdata answers with one company, the register's best match for the name. FastCAC searches CAC, Nigeria's company register. We send FastCAC the full company name with the ending, like Limited. We set all 7 options of Asimplek's resolve call to true. Hacienda Costa Rica can't look up a company by name. We send Hacienda Costa Rica each Costa Rican company's cédula jurídica number. We send Hacienda Costa Rica a made-up cédula number for each made-up company name. We look up each French company in BODACC by SIREN number. For each made-up company name, we send BODACC a made-up SIREN number. BODACC lists a company only after a notice about the company is published. MORVS has no field for the state. We send MORVS only the company name. ProPublica Nonprofit Explorer answers with a \"not found\" error for an unknown name. We count a \"not found\" error from ProPublica Nonprofit Explorer as finding no company. FDIC BankFind keeps a copy of the FDIC's list of banks. The FDIC's list of banks gives each bank's legal name in full, like CB&S Bank, Inc. or JPMorgan Chase Bank, National Association.","columns":[{"name":"Call","kind":"text","values":{"datahub.transportation.gov":"GET datahub.transportation.gov/resource/az4n-8mr2.json ($q the name, $limit 1000)","DOT Open Data (FMCSA census, authority), Company Census File":"GET data.transportation.gov/resource/az4n-8mr2.json ($q the name, $limit 1000)","DOT Open Data (FMCSA census, authority), Motus Carrier - All With History":"GET data.transportation.gov/resource/inys-ebih.json ($q the name, $limit 1000)","FDIC BankFind, Institutions":"GET api.fdic.gov/banks/institutions (search NAME:<the input's name>, filters STALP:<the input's state>, limit 100)","MORVS, Adviser search":"GET api.morvs.ai/api/v1/advisers/search (q the input's entity_name, limit 100)","NPPES NPI Registry, Read API":"GET npiregistry.cms.hhs.gov/api/?version=2.1 (organization_name the input's without periods, with *, state the input's, enumeration_type NPI-2, limit 200)","ProPublica Nonprofit Explorer, Search":"GET projects.propublica.org/nonprofits/api/v2/search.json (q the input's name without & and \"and\", state[id] the input's state)"}},{"name":"Charged per lookup","kind":"text","values":{"datahub.transportation.gov":"$0, free on every plan","DOT Open Data (FMCSA census, authority), Company Census File":"$0, free on every plan","DOT Open Data (FMCSA census, authority), Motus Carrier - All With History":"$0, free on every plan","FDIC BankFind, Institutions":"$0, free on every plan","MORVS, Adviser search":"$0, free on every plan","NPPES NPI Registry, Read API":"$0, free on every plan","ProPublica Nonprofit Explorer, Search":"$0, free on every plan"}}]}],"inputs":{"said":"The 50 companies we called, as each provider's call took them.","keys":["entity_name","state"],"rows":[["Compass Supply Chain Intelligence Inc","TX"],["Gilbertson Transport, Inc.","WA"],["WTW Enterprises, Inc.","AL"],["Intelligent Labor Inc.","MA"],["Edward Eyring & Sons, Inc.","OH"],["Heavy Equipment Auction Transport LLC","AL"],["Quenzari Poldrek Inc.","GA"],["Brantovel Skerrit LLC","PA"],["Dremolt Vaskin LLC","OK"],["Hallett & Sons Expert Movers, Inc.","IL"],["Kelmorin Tavrusk Foundation, Inc.","OH"],["The Open Door/Cape Ann Food Pantry, Inc.","MA"],["Michigan FFA Foundation, Inc.","MI"],["Feeding America","IL"],["Wikimedia Foundation, Inc.","CA"],["PAWSibilities Animal Rescue, Inc.","PA"],["Tolverin Pomquist Foundation, Inc.","GA"],["UMC Foundation, Inc.","NV"],["Hollinvar Dresquith Association, Inc.","OR"],["Whatcom Land Trust","WA"],["Quenmoor Pellistra Capital Management, LLC","CO"],["Delta Wealth Advisors, LLC","IN"],["Comprehensive Wealth Management, LLC","WA"],["Creative Planning, LLC","KS"],["XXI Wealth, LLC","IL"],["Brandelmoor Voskeen Capital Management, LLC","OH"],["CliftonLarsonAllen Wealth Advisors, LLC","MN"],["Ostravane Kilbrith Capital Management, LLC","FL"],["Betterment LLC","NY"],["Avion Wealth, LLC","TX"],["Couzins Enterprises LLC","PA"],["Thornevast Qualimby Medical Group, LLC","TX"],["5 Point Physical Therapy PLLC","NY"],["Rx Outreach, Inc.","MO"],["Brevolin Sachtel Health Partners, PLLC","NY"],["Kelzorin Madrubi Pharmacy, LLC","FL"],["Variantyx, Inc.","MA"],["5 Point Physical Therapy and Wellness LLC","NJ"],["Pride Pharmacy Carlisle LLC","TX"],["Natera, Inc.","CA"],["Halvemar Pindrosa Bank","OR"],["Zelvorin Camderly Bank","IA"],["CB&S Bank","AL"],["Citizens Bank of Morgantown","WV"],["Hamlin Bank and Trust Company","PA"],["Hingham Institution for Savings","MA"],["First-Citizens Bank & Trust Company","NC"],["JPMorgan Chase Bank, N.A.","OH"],["Bank of San Francisco","CA"],["Quillbrook Dentavo Bank, N.A.","TX"]]}},
"through":{"AnyAPI":[],"Clay":[],"ColdIQ":[],"Databar":[],"Deepline":[],"Monid":[],"Orthogonal":[],"PayPerQ":[],"RouterGrowth":[],"treg":[],"Unified.to":[]},
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