Vector Search x402
@Br0ski777
Vector Search x402 について
x402 micropayment API for AI agents. In-memory vector store with cosine similarity search. For RAG pipelines. Pay per call with USDC on Base.
基本情報
設定
以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。
{
"mcpServers": {
"vector-search": {
"url": "https://vector-search-production-bc61.up.railway.app/mcp",
"transport": "sse"
}
}
}ツール
ツールは検出されませんでした
ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。
概要
What is Vector Search x402?
Vector Search x402 is a micropayment API for AI agents that provides an in-memory vector store with cosine similarity search. It is designed for retrieval-augmented generation (RAG) pipelines and charges per call using USDC on the Base network.
How to use Vector Search x402?
Integrate the API into your AI agent workflow. Each query to the vector store requires a micropayment in USDC on Base. Refer to the API documentation for exact endpoint and authentication details.
Key features of Vector Search x402
- In-memory vector store for fast retrieval
- Cosine similarity search
- Pay-per-call pricing with USDC on Base
- Designed for AI agent and RAG pipelines
- Micropayment API (x402 protocol)
Use cases of Vector Search x402
- Retrieval-augmented generation (RAG) pipelines
- AI agent knowledge retrieval with per-query costs
- Cost‑effective vector search without upfront subscriptions
FAQ from Vector Search x402
What payment method does Vector Search x402 use?
It uses USDC on the Base network for per‑call micropayments.
What type of vector search does it perform?
It performs cosine similarity search on an in‑memory vector store.
What is Vector Search x402 designed for?
It is designed for RAG pipelines and AI agents that need pay‑per‑query vector search.
Does Vector Search x402 store vectors persistently?
No, it uses an in‑memory vector store, so data is not persisted across sessions.
Which blockchain network handles the micropayments?
Payments are processed on the Base network using USDC.
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