Vector Search x402
@Br0ski777
关于 Vector Search x402
x402 micropayment API for AI agents. In-memory vector store with cosine similarity search. For RAG pipelines. Pay per call with USDC on Base.
基本信息
配置
使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"mcpServers": {
"vector-search": {
"url": "https://vector-search-production-bc61.up.railway.app/mcp",
"transport": "sse"
}
}
}工具
未检测到工具
工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。
概览
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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