---
title: "Best Company News API for AI Agents, Independently Benchmarked, 2026 | Openbenchmarks"
description: "Best Company News API for AI Agents: Exa fast leads 15 news and search APIs at 99.3% accuracy on 300 company-news questions, independently benchmarked in 2026."
url: https://openbenchmarks.com/company-news/best-company-news-api-for-ai-agents
---

[](https://openbenchmarks.com/) 

[Detailed benchmark →](https://openbenchmarks.com/company-news) 

[benchmarks](https://openbenchmarks.com/) / [company news](https://openbenchmarks.com/company-news) / best company news api for ai agents 

independently benchmarked · 300 questions · updated Oct 21, 2026

# Best Company News API for AI Agents, 2026

Best Company News API for AI Agents: Exa fast leads 15 news and search APIs at 99.3% accuracy on 300 company-news questions, independently benchmarked in 2026.

**What this page compares.** This page ranks measured results from company-news factual lookup (web search APIs and news indexes).

**How to read the result.** The table ranks every complete run by its score on the same questions. Latency and cost are shown beside it and not blended into the score.

\[01\] measured ranking

## Company-news factual lookup, web search APIs and news indexes, ranked by accuracy

Every row ran the same 300 questions. Provider names link to the official docs for the configuration measured.

| Rank | Provider | Type | Accuracy | Answer recall @5 | Median search time | $ / 1k queries | $ / 1k correct | Result tokens | Accuracy / 1k tokens | List price |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | [Exa fast](https://docs.exa.ai/reference/search) type=fast | Web search | **99.3%** | 99.3% | 569 ms | $7.00 | $7.05 | 1,987 | 50.0 | [$7.00 / 1k queries](https://exa.ai/pricing?tab=api) |
| 2 | [Context](https://docs.context.dev/search/overview) numResults=10 · highlights maxCharacters=1200 | Web search | **98.0%** | 98.3% | 14.0 s | $4.40 | $4.49 | 1,972 | 49.7 | [$4.40 / 1k queries](https://www.context.dev/pricing) |
| 3 | [Exa instant](https://docs.exa.ai/reference/search) type=instant | Web search | **97.7%** | 97.3% | 386 ms | $7.00 | $7.17 | 2,128 | 45.9 | [$7.00 / 1k queries](https://exa.ai/pricing?tab=api) |
| 4 | [Perplexity low](https://docs.perplexity.ai/api-reference/search-post) search\_context\_size=low | Web search | **97.3%** | 98.3% | 1.6 s | $5.00 | $5.14 | 476 | 205 | [$5.00 / 1k queries](https://docs.perplexity.ai/docs/getting-started/pricing) |
| 5 | [Linkup fast](https://docs.linkup.so/pages/documentation/endpoints/search/overview) depth=fast · outputType=searchResults | Web search | **96.7%** | 94.7% | 1.2 s | $5.00 | $5.17 | 3,022 | 32.0 | [$5.00 / 1k queries](https://docs.linkup.so/pages/documentation/platform/pricing) |
| 6 | [SERP](https://rapidapi.com/herosAPI/api/google-search74) limit=10 | Web search | **96.0%** | 95.0% | 578 ms | $3.00 | $3.13 | 497 | 193 | [$3.00 / 1k queries](https://rapidapi.com/herosAPI/api/google-search74/pricing) |
| 7 | [Firecrawl](https://docs.firecrawl.dev/api-reference/endpoint/search) firecrawl-search | Web search | **95.3%** | 96.7% | 471 ms | $5.00 | $5.24 | 678 | 141 | [$5.00 / 1k queries](https://www.firecrawl.dev/pricing) |
| 8 | [Nimble lite](https://docs.nimbleway.com/api-reference/search/search) search\_depth=lite · full\_content=false · focus=general | Web search | **94.3%** | 93.7% | 1.6 s | $1.10 | $1.17 | 860 | 110 | [$1.10 / 1k queries](https://www.nimbleway.com/pricing) |
| 9 | [Brave Search llm-context](https://api-dashboard.search.brave.com/documentation/services/llm-context) count=10 | Web search | **94.0%** | 94.7% | 590 ms | $5.00 | $5.32 | 2,064 | 45.6 | [$5.00 / 1k queries](https://api-dashboard.search.brave.com/documentation/pricing) |
| 10 | [Brave Search web](https://api-dashboard.search.brave.com/documentation/services/web-search) count=10 · result\_filter=web | Web search | **93.3%** | 91.7% | 613 ms | $5.00 | $5.36 | 817 | 114 | [$5.00 / 1k queries](https://api-dashboard.search.brave.com/documentation/pricing) |
| 11 | [Nimble standard](https://docs.nimbleway.com/api-reference/search/search) search\_depth=standard · full\_content=false · focus=general | Web search | **93.0%** | 94.3% | 822 ms | $5.00 | $5.38 | 2,730 | 34.1 | [$5.00 / 1k queries](https://www.nimbleway.com/pricing) |
| 12 | [Tavily advanced](https://docs.tavily.com/documentation/api-reference/endpoint/search) search\_depth=advanced | Web search | **93.0%** | 92.7% | 4.2 s | $16.00 | $17.20 | 2,210 | 42.1 | [$16.00 / 1k queries](https://docs.tavily.com/documentation/api-credits) |
| 13 | [Linkup standard](https://docs.linkup.so/pages/documentation/endpoints/search/overview) depth=standard · outputType=searchResults | Web search | **92.0%** | 90.3% | 2.1 s | $5.00 | $5.43 | 2,983 | 30.8 | [$5.00 / 1k queries](https://docs.linkup.so/pages/documentation/platform/pricing) |
| 14 | [TinyFish](https://docs.tinyfish.ai/search-api) free · 30 req/min cap | Web search | **92.0%** | 90.7% | 2.3 s | $0 | $0 | 441 | 208 | [$0 / 1k queries](https://www.tinyfish.ai/pricing) |
| 15 | [You highlights core](https://docs.you.com/) extraction\_mode=highlights · knowledge=core | Web search | **92.0%** | 89.7% | 815 ms | $5.00 | $5.43 | 2,862 | 32.1 | [$5.00 / 1k queries](https://you.com/docs/administration/billing) |
| 16 | [You highlights](https://docs.you.com/) extraction\_mode=highlights | Web search | **90.7%** | 89.7% | 614 ms | $5.00 | $5.51 | 2,837 | 32.0 | [$5.00 / 1k queries](https://you.com/docs/administration/billing) |
| 17 | [Tavily basic](https://docs.tavily.com/documentation/api-reference/endpoint/search) search\_depth=basic | Web search | **87.7%** | 87.7% | 1.7 s | $8.00 | $9.13 | 1,639 | 53.5 | [$8.00 / 1k queries](https://docs.tavily.com/documentation/api-credits) |
| 18 | [Seltz news](https://docs.seltz.ai/) scope=news | News index | **58.3%** | 60.0% | 386 ms | $5.00 | $8.57 | 2,919 | 20.0 | [$5.00 / 1k queries](https://seltz.ai/pricing) |
| 19 | [Autobound news events](https://autobound-api.readme.io/docs/news-event) domain · signal\_types=news · signal\_subtypes · limit=10 | News index | **30.0%** | 25.0% | 160 ms | $36.23 | $120.76 | 879 | 34.1 | [$9.50 / 1k credits](https://www.autobound.ai/pricing) |
| 20 | [PredictLeads news\_events](https://docs.predictleads.com/) LLM category pick · categories\[\] · limit=10 | News index | **20.7%** | 20.0% | 376 ms | $40.00 | $193.52 | 484 | 42.7 | [$40.00 / 1k queries](https://predictleads.com/pricing) |
| 21 | [Datahyena company events](https://datahyena.com/docs/) domain · include=funding\|acquisitions|exec\_moves | News index | **5.3%** | 6.7% | 245 ms | $38.17 | $716.07 | 22 | 238 | [$50.00 / 1k credits](https://datahyena.com/pricing/) |

\[02\] how it was measured

## How the ranking was measured

* Every API received the same natural-language question about a recent company event, one search per question, up to 10 results.
* Each answer is a single verifiable value pinned to an official wire or newsroom URL, fixed before any vendor ran.
* Accuracy is whether the returned results let the same answering model extract the correct value.
* Latency is the search request time. Cost is the recorded list price for the calls made, per 1,000 queries and per 1,000 correct answers.
* The runner and published data are open in [openbenchmarks-labs/company-news ↗](https://github.com/openbenchmarks-labs/company-news) and [openbenchmarks/OB-News-Websearch ↗](https://huggingface.co/datasets/openbenchmarks/OB-News-Websearch). The full methodology is on the [Company News Search Benchmark →](https://openbenchmarks.com/company-news#methodology)

\[03\] faq

## Questions answered by this comparison

### Which provider leads best Company News API for AI Agents?

Exa fast leads this table at 99.3% accuracy, on 300 company-news questions.

### How was this measured?

Every API received the same natural-language question about a recent company event, one search per question, up to 10 results. Each answer is a single verifiable value pinned to an official wire or newsroom URL, fixed before any vendor ran. Accuracy is whether the returned results let the same answering model extract the correct value. Latency is the search request time. Cost is the recorded list price for the calls made, per 1,000 queries and per 1,000 correct answers.

### How should speed and cost be read beside the score?

Exa fast recorded 569 ms median search time and $7.00 per 1,000 queries. The most accurate configuration is rarely the fastest or the cheapest, so each is reported in its own column.

### Do vendors pay to be ranked?

No. Inclusion and rank do not depend on vendor payments. Every API used the same questions, answering model and scoring.

### What does this page not test?

This page ranks measured results from company-news factual lookup (web search APIs and news indexes).

\[04\] related comparisons

## Related pages

* [Company News Search Benchmark: full leaderboard and methodology →](https://openbenchmarks.com/company-news)
* [Best Company News Search API](https://openbenchmarks.com/company-news/best-company-news-search-api)
* [Best Search API for Company News](https://openbenchmarks.com/company-news/best-search-api-for-company-news)
* [Best API for Latest Company News](https://openbenchmarks.com/company-news/best-api-for-latest-company-news)
* [Best API for Tracking Company News](https://openbenchmarks.com/company-news/best-api-for-tracking-company-news)
* [Best News API for LLMs](https://openbenchmarks.com/company-news/best-news-api-for-llms)
* [Best News Search API](https://openbenchmarks.com/company-news/best-news-search-api)
* [Every company news comparison →](https://openbenchmarks.com/company-news/comparisons)

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