---
title: "Best Search APIs and MCPs for AI Agents, Independently Benchmarked, 2026 | Openbenchmarks"
description: "Best Search APIs and MCPs for AI Agents: Exa fast leads 11 web search APIs at 99.3% accuracy on 300 company-news questions, independently benchmarked Oct 21, 2026."
url: https://openbenchmarks.com/web-search/best-search-apis-and-mcps-for-ai-agents
---

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[Detailed benchmark →](https://openbenchmarks.com/web-search) 

[benchmarks](https://openbenchmarks.com/) / [web search](https://openbenchmarks.com/web-search) / best search apis and mcps for ai agents 

independently benchmarked · 300 questions · updated Oct 21, 2026

# Best Search APIs and MCPs for AI Agents, 2026

Best Search APIs and MCPs for AI Agents: Exa fast leads 11 web search APIs at 99.3% accuracy on 300 company-news questions, independently benchmarked Oct 21, 2026.

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

**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, ranked by accuracy

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

| Rank | Provider | 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 | **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 | **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 | **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 | **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 | **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 | **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 | **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 | **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 | **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 | **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 | **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 | **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 | **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 | **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 | **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 | **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 | **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) |

\[02\] mcp servers

## Official MCP servers for the tested search APIs

Scores and timings measure the underlying search APIs in our developer-agent benchmark. MCP connection options and tools are verified against vendor documentation; MCP transport overhead and client tool selection require a separate end-to-end test.

* **Perplexity.** `https://api.perplexity.ai/mcp`. Tools: perplexity\_search, perplexity\_ask, perplexity\_research, perplexity\_reason. Use perplexity\_search for ranked web results. The answer and research tools add a separate answering workflow. [Docs ↗](https://github.com/perplexityai/modelcontextprotocol)
* **Exa.** `https://mcp.exa.ai/mcp`. Tools: web\_search\_exa, web\_fetch\_exa, web\_search\_advanced\_exa, agent\_run. Search for relevant web content and scrape known URLs. Opt into advanced filters or authenticated agent research when needed. [Docs ↗](https://exa.ai/docs/get-started/exa-mcp)
* **Firecrawl.** `https://mcp.firecrawl.dev/v2/mcp`. Tools: firecrawl\_search, firecrawl\_scrape, firecrawl\_parse, firecrawl\_crawl. Search, scrape and parse content through one integration. Authenticated connections expose additional tools according to the account plan. [Docs ↗](https://docs.firecrawl.dev/mcp-server)
* **Parallel.** `https://search.parallel.ai/mcp`. Tools: web\_search, web\_fetch. Search from an objective and keyword queries, then read relevant excerpts from selected URLs. [Docs ↗](https://docs.parallel.ai/integrations/mcp/search-mcp)
* **Tavily.** `https://mcp.tavily.com/mcp`. Tools: tavily-search, tavily-extract. Search current sources with filters, then extract page content for the agent's answer. [Docs ↗](https://docs.tavily.com/documentation/mcp)
* **Brave Search.** `npx -y @brave/brave-search-mcp-server --transport stdio`. Tools: brave\_web\_search, brave\_local\_search, brave\_news\_search, brave\_image\_search, brave\_video\_search. Search the web or a dedicated news, image, video or local-results surface using Brave's search index. [Docs ↗](https://github.com/brave/brave-search-mcp-server)
* **TinyFish.** `https://agent.tinyfish.ai/mcp`. Tools: search, fetch\_content, run\_web\_automation. Get ranked search results, scrape page content or add browser automation when the workflow needs interactions. [Docs ↗](https://docs.tinyfish.ai/mcp-integration)
* **Linkup.** `https://mcp.linkup.so/mcp`. Tools: linkup-search, linkup-research, linkup-get-research. Search with domain and date controls, or start a longer research task and retrieve its result. [Docs ↗](https://github.com/LinkupPlatform/linkup-mcp-server)
* **Nimble.** `https://mcp.nimbleway.com/mcp`. Tools: nimble\_search, nimble\_agents\_list. Search live web data and discover available agents. The MCP integration also covers extraction, mapping and crawling. [Docs ↗](https://llms.nimbleway.com/agent-onboarding)
* **You.com.** `https://api.you.com/mcp`. Tools: you-search, you-contents, you-research. Search web and news results, extract page content, or request a source-backed research answer. [Docs ↗](https://you.com/docs/build-with-agents/mcp-server)

\[03\] 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/factual-lookup-company-news-search ↗](https://github.com/openbenchmarks-labs/factual-lookup-company-news-search) and [openbenchmarks/OB-News-Websearch ↗](https://huggingface.co/datasets/openbenchmarks/OB-News-Websearch). The full methodology is on the [Web Search Benchmark →](https://openbenchmarks.com/web-search#methodology-factual-lookup)

\[04\] faq

## Questions answered by this comparison

### Which provider leads best Search APIs and MCPs 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).

\[05\] related comparisons

## Related pages

* [Web Search Benchmark: full leaderboard and methodology →](https://openbenchmarks.com/web-search)
* [Best Web Search API](https://openbenchmarks.com/web-search/best-web-search-api)
* [Best Search API](https://openbenchmarks.com/web-search/best-search-api)
* [Best Web Search API for Agents](https://openbenchmarks.com/web-search/best-web-search-api-for-agents)
* [Best Search API for Agents](https://openbenchmarks.com/web-search/best-search-api-for-agents)
* [Best Search APIs for AI Agents](https://openbenchmarks.com/web-search/best-search-apis-for-ai-agents)
* [Best Search API for AI](https://openbenchmarks.com/web-search/best-search-api-for-ai)
* [Every web search comparison →](https://openbenchmarks.com/web-search/comparisons)

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