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Perigon pricing and alternatives: news API, POST /v1/vector/news/all

Perigon's sitellms.txtBest news API in 2026: pricing comparedPerigon: news API alternatives

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100% complete: all 6 key fields we checkSee the 6 fields
$0.00per 1,000 searchesWe rank 504 plans by price. Serpent API's top-up from $500 is the cheapest paid plan per 1,000 searches: $0.01.Scrappa, Litescrape and TheNewsAPI are the best news API providers in our benchmark.
Plan: Free one of Perigon's 7 plans
Call: POST /v1/vector/news/all one of Perigon's 2 calls for this API
API: News API one of Perigon's 6 APIs

About this item

  • Freshness. We don't know how fresh this plan's data is.
  • All 6 key fields we check. Source, Date, Author, Snippet, Image, Full text.
  • Nothing to pay.
  • One call. You send prompt to POST /v1/vector/news/all. The call returns the news articles that match.
  • Anyone can get it. Keep data: no limit. Use data: with conditions.

Perigon: news API alternatives

The table starts with Perigon's cheapest paid plan. Next come plans from other providers with the price per 1,000 searches closest to Perigon's. Each plan in the table gives live data or data at most an hour old.

Perigon, $270 yearly, Individual, POST /v1/vector/news/allSerpWow, $155 monthly, Starter, GET /search, Naver NewsTavily, pay as you go, POST /search, Search, advanced, newsScale SERP, $276 yearlyNewsData.io, $3,359.99 yearly, Professional (yearly), GET /1/archive
$ per 1,000 searches$22.50$15.50$16.00$23.00$28.00
Completeness100%67%83%67%100%
Billingyearlymonthlypay as you goyearlyyearly
Pay$270$155monthly$276$3,359.99
Enough for1,000 pages a month10,000 calls a monthas many as you pay for1,000 calls a month10,000 calls a month
Freshness1 hourlivelivelivelive
Who can get itpersonal, academic and non-commercial useanyoneanyone at least 18 years old or of the age of majority, with the legal capacity to enter the Terms, or authorized to bind the companyanyoneanyone

Every news API provider we score, ranked

Sources

From each provider's own pricing page and docs, and from what providers tell us. We read this row from these pages on 2026-10-30.

  1. perigon.io/docs/api/intro
  2. perigon.io/docs/api/search
  3. perigon.io/openapi.json
  4. perigon.io/products/apis
  5. perigon.io/products/pricing/apis
  6. perigon.io/reference
  7. perigon.io/terms

Product details

The key fields this plan's answer can hold, then each filled column in its row on the sheet.

  • Source
  • Date
  • Author
  • Snippet
  • Image
  • Full text
Price
$ per 1,000 searches$0.00
Perpage, size not stated
Billingfree
Not found
$ per 1,000$0.00
In their words
Their pitchPerform a natural language search over news articles from the past 6 months using semantic relevance. The result includes a list of articles most closely matched to your query intent.
Data
Keep datano limit
Use dataYou're not allowed to copy, retrieve, or systematically "scrape" the content of the Services except as expressly permitted by an applicable API agreement or license you have with Perigon. [...] Commercial use of Perigon's proprietary structured data, metadata, classifications, and AI-generated enrichments is governed by your selected license. Startup provides limited commercial rights for qualifying businesses, while Commercial supports broader business and production use. However, original news articles and publisher-authored content remain the intellectual property of their respective copyright holders. A Perigon license does not grant permission to republish or redistribute copyrighted third-party works.
Plan
Pay$0
Rate limit
Batch1
Speed
Answerin the call
Median0.32 s
The call
You sendprompt. Optional: filter.articleId, filter.clusterId, filter.source, filter.excludeSource, filter.sourceGroup, filter.language, filter.excludeLanguage, filter.label, filter.excludeLabel, filter.taxonomy, filter.category, filter.topic, filter.excludeTopic, filter.country, filter.excludeCountry, filter.locationsCountry, filter.excludeLocationsCountry, filter.state, filter.excludeState, filter.county, filter.excludeCounty, filter.city, filter.excludeCity, filter.sourceCountry, filter.sourceState, filter.sourceCounty, filter.sourceCity, filter.coordinates.lat, filter.coordinates.lon, filter.coordinates.radius, filter.sourceCoordinates.lat, filter.sourceCoordinates.lon, filter.sourceCoordinates.radius, filter.companyId, filter.excludeCompanyId, filter.companyDomain, filter.excludeCompanyDomain, filter.companySymbol, filter.excludeCompanySymbol, filter.companyName, filter.personWikidataId, filter.excludePersonWikidataId, filter.personName, filter.excludePersonName, filter.AND, filter.OR, filter.NOT, pubDateFrom, pubDateTo, showReprints, size, page
MethodPOST
Path/v1/vector/news/all
About the plan
PlanFree
Who can get itanyone
The 87 fields the plan's answer can hold

article ID, article URL, authors byline, cluster ID, source domain, source paywall, source location country, source location state, source location county, source location city, source location coordinates, image URL, country, language, publication date, added date, refreshed date, relevance score, title, description, content, English content word count, content type, links, labels, event types, matched authors, claim, verdict, keywords, topics, categories, top category, taxonomies, entities, companies, sentiment, summary, short summary, translation, translated title, translated description, translated summary, locations, reprint, reprint group ID, places, people, story name, story summary, story short summary, story key points, story questions, story unique sources, story sentiment, story unique count, story reprint count, story total count, journalists, highlights, story ID, story created at, story updated at, story initialized at, story duplicate of, story slug, story summary references, story image source, story image URL, story selected articles, story countries, story top countries, story topics, story top topics, story categories, story top categories, story taxonomies, story top taxonomies, story people, story top people, story companies, story top companies, story locations, story top locations, story highlights, story source diversity, embedding vectors

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