Datacircle
Company enrichment API

People Data Labs, $960 yearly

People Data Labs's sitellms.txt
$80.00per 1,000 companiesThe median plan costs $19.675 per 1,000. This plan costs less than 37% of the 376 priced plans.
Plan: Pro, Tier 1 one of People Data Labs's 8 plans
Call: GET /v5/company/enrich People Data Labs's only call

About this item

  • Freshness. People Data Labs's pages don't say how fresh a company profile is.
  • A subscription billed every year. You pay $960 for 12,000 credits a year, enough for 12,000 calls a year. Unused credits expire: at renewal, past 1 year's credits rolled over.
  • One call. You send its inputs to GET /v5/company/enrich. The call returns the company profile.
  • Anyone can get it. Keep data: with conditions. Use data: with conditions.

Compare with similar plans

Other providers' plans with the closest prices per 1,000.

This planPeople Data Labs, $960 yearlyWiza, $50 packCoresignal, $1,000 monthlyRocketReach, $1,699 yearlyLeadIQ, $2,031.72 yearly
$ per 1,000$80.00$50.00$66.667$84.95$96.749
Billingyearlypay firstmonthlyyearlyyearly
Pay$960$50$1,000$1,699$2,031.72
Enough for12,000 calls a year1,000 calls15,000 calls a month20,000 calls a year21,000 results a year
Who can get itanyoneanyone 18 or over with a business emailanyone with a business emailanyone 18 or overanyone, for their internal business purpose only, 18 or over with authority to bind it when accepting for a company, not in a US-embargoed country or on a US restricted list

Sources

From each provider's own pricing page and docs. We read this row from these pages on 2026-10-13.

  1. docs.peopledatalabs.com/docs/company-data-field-bundles
  2. docs.peopledatalabs.com/docs/company-schema
  3. docs.peopledatalabs.com/docs/create-an-account
  4. docs.peopledatalabs.com/docs/data-updates
  5. docs.peopledatalabs.com/docs/errors
  6. docs.peopledatalabs.com/docs/example-company-record
  7. docs.peopledatalabs.com/docs/input-parameters-company-enrichment-api
  8. docs.peopledatalabs.com/docs/introduction
  9. docs.peopledatalabs.com/docs/output-response-company-enrichment-api
  10. docs.peopledatalabs.com/docs/reference-company-enrichment-api
  11. docs.peopledatalabs.com/docs/usage-limits
  12. privacy.peopledatalabs.com/policies?name=acceptable-data-use-policy
  13. privacy.peopledatalabs.com/policies?name=services-subscription-agreement
  14. support.peopledatalabs.com/hc/en-us/articles/25793510547611-Payment-Cycles
  15. support.peopledatalabs.com/hc/en-us/articles/25793630995355-Rollover-Credits
  16. support.peopledatalabs.com/hc/en-us/articles/25794271805211-Pricing-credits
  17. peopledatalabs.com/llms.txt
  18. peopledatalabs.com/person-data
  19. peopledatalabs.com/person-data/enrichment-api
  20. peopledatalabs.com/pricing/company
  21. peopledatalabs.com/pricing/person
  22. peopledatalabs.com/signup

Product details

We list each column of this plan's row on the sheet that has a value.

Price
$ per 1,000$80.00
Billingyearly
$ a month$80
Charges
Repeat freenever
Percall
Not found
$ per 1,000$0.00
In their words
Their pitchThe Company Enrichment API provides a one-to-one company match.
Data
Keep dataData returned in API endpoints may not be saved in Customer databases (“Cached Data”) for longer than necessary to perform actions permitted via Service License. [...] Cached Data may not be provided or displayed to more than one End User. [...] Upon termination of this Agreement, Customer must delete all Data it has received from PDL from all applicable Subscription Periods (including Cached Data), and sign and return to PDL the Data Deletion Agreement in Exhibit A within 30 days of termination.
Use dataPDL hereby grants to Customer a limited, revocable, non-exclusive, non-transferable, non-sublicensable right and license to access the Services specified in the Order Form or in Customer Account during the Subscription Period for its internal business purposes. [...] (i) to display PDL-supplied Data to Customer’s own clients who engage with the data (“End Users”) on Customer’s platform or within Customer’s product, (ii) to maintain PDL-supplied Data in Customer’s database for the purpose of performing calculations and mapping PDL Data against Customer Data [...] Customer shall not, and shall not permit any client or third party that may have access to the Data to: (i) resell, sublicense, distribute or otherwise provide access to the Services, Data, or information contained in or derived from the Services, to any third party or use the Services outside the scope of the license granted herein [...] Customer may not build products from the Data that resemble or compete with PDL products. [...] For any form of debt collection. [...] For hard background check purposes. [...] For the purposes of training Gen AI systems or models that can generate derived synthetic content, including text, images, video, and audio, that emulates the structure and characteristics of the system’s training data. [...] In connection with any purpose covered by the Fair Credit Reporting Act, 15 U.S.C. Sec. 1681 et seq.
Plan
Pay$960
You get12,000 credits a year
Enough for12,000 calls a year
Expiresat renewal, past 1 year's credits rolled over
Rate limit
Per second16.67
Batch1
Speed
Answerin the call
The call
You sendpdl_id, name, ticker, website or profile, location, street_address, locality, region, country, postal_code, min_likelihood, required, include_if_matched, data_include, titlecase, size (Enterprise only)
MethodGET
Path/v5/company/enrich
About the plan
PlanPro, Tier 1
Who can get itanyone
The 45 fields in the plan's answer

company ID, name, display name, description, headline, tags, website, alternative domains, alternative names, size, employee count, employee count by country, founded year, company type, ticker, stock exchange MIC code, industry, industry (v2), NAICS codes, SIC codes, location, street address, address line 2, city, metro area, region, postal code, country, continent, coordinates, LinkedIn URL, LinkedIn ID, LinkedIn slug, Facebook URL, Twitter URL, social profile URLs, funding stages, latest funding stage, last funding date, number of funding rounds, total funding raised, affiliated company IDs, dataset version, match likelihood, matched inputs