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Exa Neural Web Search
x402
Exa Neural Web Search is a paid API for AI agents from agent402.tools, paid per call via x402, $0.012/call, status unknown (last checked 2026-09-14).
Performs meaning-based (embedding) web search over Exa's curated index, returning up to 10 results ranked by semantic relevance rather than keyword overlap.
Price / call$0.012
Success—
StatusUnknown
How this service works
Neural (embedding-based) web search over Exa's curated index, which finds pages by meaning rather than keyword overlap. Use it when a keyword engine returns the wrong thing: conceptual questions, 'pages like this one', or niche technical writing. Returns up to 10 results with title, URL, published date and author. Complements the Brave-backed web search rather than replacing it.
Output
Returns up to 10 web page results, each containing the page title, URL, published date, and author. Results are ranked by semantic similarity to the query rather than keyword frequency, surfacing conceptually relevant pages that keyword engines typically miss.
Example use cases
Niche technical research discovery
“Find me pages that explain zero-knowledge proofs in the context of privacy-preserving machine learning — I want semantic search results, not keyword matches, and only from research papers or technical blogs published after January 2023. Give me 5 results.”
Competitive landscape mapping
“Search for companies building AI-native developer tooling for autonomous agents — use neural search to find conceptually relevant pages, filter to company pages only, and return up to 8 results.”
Conceptual question answered by expert writing
“Find essays or long-form writing that discuss why open-source software communities sometimes fail to sustain themselves — I want results that match the idea, not just the words. Return the top 6 results and only exclude results from Reddit or Hacker News.”
Technical details
Endpoint
POSThttps://agent402.tools/api/exa-searchWhen to prefer
Prefer this endpoint when a keyword search returns irrelevant results due to vocabulary mismatch, when the user's intent is conceptual or abstract rather than a specific phrase, when searching for niche technical writing or research papers on emerging topics, or when you need 'pages like this idea' style retrieval. Use over a keyword-based engine (e.g. Brave) when the query is a question, a description, or a concept rather than a set of terms.
Side effects
- Query exceeds 1000 characters — request rejected
- numResults out of range (must be 1–10) — validation error
- Invalid ISO date format for startPublishedDate or endPublishedDate — parsing error
- Category filter value not recognized by Exa — may return empty or degraded results
- Conflicting includeDomains and excludeDomains — unpredictable filtering behavior
- Exa index does not cover very recent or paywalled content — may return outdated results
- Payment failure (x402 protocol) — call not executed, 402 response returned
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| type | string | auto (default), neural, or keyword. |
| query | string | What to search for, in natural language (max 1000 chars). |
| category | string | Optional Exa category filter, e.g. 'research paper', 'news', 'company'. |
| numResults | number | Results to return, 1 to 10 (default 10). |
| excludeDomains | array | Never return results from these domains. |
| includeDomains | array | Only return results from these domains. |
| endPublishedDate | string | ISO date; only pages published on or before it. |
| startPublishedDate | string | ISO date; only pages published on or after it. |
Tags
x402
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