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Vector Search API

br0ski777/vector-search-x402
SSEregistry active
Summary

This is a lightweight vector search implementation that runs in memory and uses TF-IDF with cosine similarity for document matching. The repository doesn't expose much documentation, but the core use case is clear: you need semantic search without external dependencies or heavy embedding models. It's designed to work with x402 micropayments, suggesting a pay-per-query model running on the remote endpoint at klymax402.com. Reach for this when you want basic similarity search for Claude without spinning up a vector database or paying for OpenAI embeddings. The tradeoff is simplicity over sophistication, TF-IDF won't understand semantic meaning the way transformers do, but it's fast and deterministic for keyword-adjacent matching.

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Vector Search API

MCP Server x402 License: MIT

In-memory vector store with TF-IDF vectorization and cosine similarity search. Pay-per-call via x402 (USDC on Base L2) -- no API key, no signup, no rate-limit wall.

Part of the klymax402 marketplace -- 100 x402 micropayment APIs for AI agents, one wallet, USDC on Base.

Quickstart -- MCP

Add to your MCP client config (Claude Desktop, Cursor, ElizaOS, etc.):

{
  "mcpServers": {
    "vector-search": {
      "url": "https://vector-search.api.klymax402.com/mcp"
    }
  }
}

Quickstart -- HTTP (x402)

curl -X POST "https://vector-search.api.klymax402.com/api/search" \
  -H "Content-Type: application/json" \
  -d '{"query":"..."}'
# -> 402 Payment Required, with an x402 payment challenge in the response body

Any x402-aware client (@x402/fetch, x402-agent-tools, ATXP) handles the 402 -> sign -> retry cycle automatically.

Tools

ToolMethodPathPriceDescription
data_vector_searchPOST/api/search$0.012Store text and search by semantic similarity

data_vector_search

Use this when you need to store text documents and search them by semantic similarity. Accepts documents to store and a query to search. Uses TF-IDF vectorization with cosine similarity to find the most relevant matches. Returns top-k results with similarity scores. Do NOT use for web search — use web_search_query instead. Do NOT use for keyword research — use keyword_research instead. Do NOT use for text classification — use text_classify instead.

Parameters

NameTypeRequiredDescription
documentsarraynoArray of text documents to index (optional if already stored in this session)
querystringyesThe text query to search for
topKnumbernoNumber of top results to return (default: 3, max: 10)
namespacestringnoNamespace to isolate document sets (default: 'default')

Example agent prompts

  • "Store text documents and search them by semantic similarity"

Payment

  • Protocol: x402 -- HTTP-native pay-per-call, no signup, no API key
  • Network: Base L2 (eip155:8453)
  • Asset: USDC
  • Facilitator: Coinbase CDP (primary), PayAI (fallback)

Part of klymax402

100 x402 micropayment APIs for AI agents -- one wallet, USDC on Base, zero signup.

  • Catalog: https://klymax402.com/llms.txt
  • Full API reference: https://klymax402.com/llms-full.txt
  • Live stats: https://klymax402.com/stats

License

MIT

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Categories
AI & LLM ToolsSearch & Web Crawling
Registryactive
TransportSSE
UpdatedMay 16, 2026
View on GitHub

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