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Vector Search API

БесплатноНе проверен

In-memory vector search with TF-IDF and cosine similarity. x402 micropayment.

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Описание

In-memory vector search with TF-IDF and cosine similarity. x402 micropayment.

README

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

Tool Method Path Price Description
data_vector_search POST /api/search $0.005 Store 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

Name Type Required Description
documents array no Array of text documents to index (optional if already stored in this session)
query string yes The text query to search for
topK number no Number of top results to return (default: 3, max: 10)
namespace string no Namespace 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.

License

MIT

from github.com/Br0ski777/vector-search-x402

Установка Vector Search API

У этого сервера нет опубликованного пакета — он собирается из исходников. Открой репозиторий и следуй инструкции в README.

▸ github.com/Br0ski777/vector-search-x402

FAQ

Vector Search API MCP бесплатный?

Да, Vector Search API MCP бесплатный — установка в пару кликов через Unyly без оплаты.

Нужен ли API-ключ для Vector Search API?

Нет, Vector Search API работает без API-ключей и переменных окружения.

Vector Search API — hosted или self-hosted?

Доступен hosted-вариант: Unyly запускает сервер в облаке, локальная установка не обязательна.

Как установить Vector Search API в Claude Desktop, Claude Code или Cursor?

Открой Vector Search API на unyly.org, выбери вкладку своего клиента (Claude Desktop, Claude Code, Cursor) и нажми Install — конфиг сгенерируется автоматически, без правки JSON.

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