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Arch Tools Semantic Search
x402
Arch Tools Semantic Search is a paid API for AI agents from archtools.dev, paid per call via x402, $0.015/call, status unknown (last checked 2026-09-15).
Performs semantic (vector/meaning-based) web search given a natural language query, returning ranked results with optional full page text
Price / call$0.015
Success—
StatusUnknown
How this service works
Arch Tools — semantic-search
Output
A JSON object containing a ranked list of search results, each with page URL, title, relevance score, and optionally the full extracted text of the page. Default returns up to 10 results.
Example use cases
Research assistant for competitive analysis
“Search for 'AI coding assistant tools comparison 2024' and return the top 8 results with full page text so I can read what people are saying about each product.”
Finding technical documentation
“I need to find documentation or tutorials about 'Kubernetes horizontal pod autoscaling best practices' — search for that and give me the top 10 results.”
Trend discovery for content planning
“Search for 'sustainable packaging startup trends' and return 6 results — include the full text of each page so I can pull out key themes.”
Technical details
Endpoint
POSThttps://archtools.dev/v1/tools/semantic-searchWhen to prefer
Choose this endpoint when you need meaning-based (semantic) web search rather than keyword matching — ideal for research, discovery, and retrieval tasks where exact keyword overlap is insufficient. Prefer this over traditional search APIs when the query is conceptual or phrased in natural language. The optional full-text inclusion makes it especially useful when downstream NLP tasks (summarization, entity extraction, sentiment analysis) will consume the results.
Side effects
- Query string missing — returns 400 validation error
- num_results set to 0 or negative — may return empty results or error
- Network timeout if underlying search index is slow
- Payment not sent or insufficient USDC — returns 402 Payment Required
- Query too long or malformed — may return empty results or truncation error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| query | string | Natural language search query |
| num_results | integer | Number of results to return |
| include_text | boolean | Include full page text in results |
Tags
x402
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