--- title: "Exa" type: "AI Tool" url: "https://aidemos.com/tools/exa" description: "Benchmarking Exa’s /search and /answer found top current-fact retrieval and long extracted page text, but Q43 showed a correct answer with a false citation." category: "developer-tools" website: "https://exa.ai/" published: "2026-08-20T10:53:16.070044+00:00" updated: "2026-08-24T11:26:36.210038+00:00" --- # Exa Best live-web search API here for agents that need ranked results, long page text, and cited answers. ## TL;DR Verdict **Best overall in this benchmark** **Where it wins:** - you are building an agent, chatbot, research tool, or open-web RAG layer - you need both search results and a direct answer mode, scored separately - you care about current facts, freshness, and long extracted page text **Main limitation:** you need a consumer search UI instead of an API **Pricing:** /search $7.00 / 1k calls · /answer $5.00 / 1k calls `92.3% answers correct` · `57.4% top-3 search` · `38.6k chars/result` · `0.3% false citations` **Website:** [Visit Exa](https://exa.ai/) > **Best overall in this benchmark** > > Exa is the strongest all-around choice in this benchmark. \`/search\` is the most reproducible of the former top three and best on current-fact retrieval, \`/answer\` is the best direct-answer mode at 48/52, and both modes return long extracted page text with measured cost. The caveats are real: answer-mode ambiguity is weaker, Q43 shows a correct answer with a false citation, and the billing-dashboard allowance still needs a direct capture. ## Feature-by-Feature Breakdown ### Live Web Search with Extracted Page Content — 27/47 **Verdict:** Top-3 tied-best overall, strongest on current-fact queries. Exa's `/search` mode takes a plain query string and returns ranked live-web results with titles, URLs, extracted page text, published dates, and per-call cost metadata. The returned page text is often long enough to use directly instead of just a snippet. **Input:** Ground truth query set > **Csv** — Ground truth query set **Output:** Scored run export > **Csv** — Scored run export **Input:** ``` Q26 ambiguity probe: the query "Sonar" should resolve to Perplexity, not SonarSource. ``` **Output:** Per-query output > **Md** — Per-query output **Input:** ``` Q43 current-fact / freshness probe: Python 3.11.16 release details. ``` **Output:** Per-query output > **Md** — Per-query output **Input:** ``` Q36–Q41 content-depth block: answer-bearing figures buried deep in long pages. ``` **Output:** Verification summary > **Md** — Verification summary **Bottom line:** Use `/search` when you want reproducible retrieval and long extracted text; it is excellent for current facts, but it is not a substitute for opening the citations. ### Cited Answer Synthesis — 48/52 **Verdict:** Best direct-answer mode, with citation checks still required. Exa's `/answer` mode takes a query and synthesizes a direct cited answer rather than just returning ranked results. It was strongest on freshness and multi-source answers, though the citations still need verification. **Input:** ``` Q43 answer-grade check: Python 3.11.16 release details. ``` **Output:** Answer grades > **Csv** — Answer grades **Input:** ``` Q43 citation-honesty check: Python 3.11.16 release details. ``` **Output:** Citation verdicts > **Csv** — Citation verdicts **Input:** ``` Q49 unanswerable query: Jina AI acquisition / financials not separately disclosed. ``` **Output:** Per-query output > **Md** — Per-query output **Input:** ``` Q52 unanswerable pricing query. ``` **Output:** Per-query output > **Md** — Per-query output **Bottom line:** Use `/answer` when you want a direct answer rather than a results list, but treat the citation as something to verify rather than trust blindly. ## Measured endpoint rates Exa bills by credits in its docs; the benchmark measured the public per-call rates directly. | Plan | Price | Notes | | --- | --- | --- | | /search ★ | $7.00 / 1k calls | 52-query run cost: $0.364; 0 errors. | | /answer | $5.00 / 1k calls | 52-query run cost: $0.260; 0 errors. | *Exa's docs say $20 on signup and $10/month in credits with no payment method required. Third-party trackers reported a free-tier change from 1,000 to 20,000 requests/month on 2026-07-14, but the August billing-dashboard allowance was still not captured here.* ## Is It Right For You? **Use it if** - you are building an agent, chatbot, research tool, or open-web RAG layer - you need both search results and a direct answer mode, scored separately - you care about current facts, freshness, and long extracted page text - you want measured latency and cost instead of vendor claims **Skip it if** - you need a consumer search UI instead of an API - you need known-URL scraping, not query-in retrieval - you need private-document RAG - you need ambiguity-heavy answer mode without checking citations - you need the August billing-dashboard allowance before budgeting ## Classification - **Category:** developer-tools - **Subcategory:** search-engine - **Type:** text - **Built for:** Other ## Frequently Asked Questions **Q: Does Exa separate search and answer modes?** Yes. The research tested `/search` and `/answer` separately, and they failed differently: `/search` was stronger for retrieval quality and reproducibility, while `/answer` was the best direct-answer mode overall. **Q: How accurate were Exa's citations?** Exa had 1 false citation in the checkable set, or 0.3%, which was the second-best result. The clearest case was Q43: the answer grade was correct, but the citation pointed to aiohttp v3.11.16 release notes for a Python 3.11.16 question. **Q: Does Exa return full page text or just snippets?** It returns long extracted page text. The report says the median result was about 38,600 characters, and published dates appeared on 94% of results. **Q: What did Exa cost and how fast was it?** `/search` measured $7.00 per 1k calls, with 2,879 ms p50 and 3,791 ms p95. `/answer` measured $5.00 per 1k calls, with 3,237 ms p50 and 3,823 ms p95. **Q: What is Exa's free tier?** Exa's own docs describe credits, not a request-count free tier: $20 on signup and $10/month in credits with no payment method required. Third-party trackers reported a change from 1,000 to 20,000 requests/month on 2026-07-14, and the report still says the August billing-dashboard allowance was not captured. ## Similar Tools AI tools similar to Exa: - [Jina](https://aidemos.com/tools/jina) — Rich web search results for agents, but this free-tier run was incomplete and not comparable. - [Linkup](https://aidemos.com/tools/linkup) — Standard mode is the usable tier: strong extraction, weak ranking; deep is slower, pricier, and weaker. - [OpenAI web_search](https://aidemos.com/tools/openai-web-search) — A citation-honest control arm for live-web answering, but not a reliable retrieval layer for fresh content. - [SerpAPI](https://aidemos.com/tools/serpapi) — Fast, zero-error live web search for agents, with stable mid-pack retrieval and snippet outputs. - [Serper](https://aidemos.com/tools/serper) — Fast, cheap raw web search for agents — strong on ambiguity, but too snippet-thin to replace a scrape. - [Valyu](https://aidemos.com/tools/valyu) — Returns usable web text for agents, but the citation layer is too error-prone to trust. - [You.com](https://aidemos.com/tools/you-com) — Best-in-benchmark top-1 web retrieval for agent queries, with full-page text and published dates — but at a measured high all-in cost. ## Need a custom AI solution for this use case? If you are looking to build a custom web search, cited answer, or research agent system for your business or internal workflow, email us at [contact@futuresmart.ai](mailto:contact@futuresmart.ai). ### Found something inaccurate or missing? We try to keep our AI research accurate and useful. If you found outdated information, an issue, or have a suggestion, email us at [collaborate@aidemos.com](mailto:collaborate@aidemos.com).