Vector Search API
БесплатноНе проверенIn-memory vector search with TF-IDF and cosine similarity. x402 micropayment.
Описание
In-memory vector search with TF-IDF and cosine similarity. x402 micropayment.
README
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.
- Catalog: https://klymax402.com/llms.txt
- Full API reference: https://klymax402.com/llms-full.txt
- Live stats: https://klymax402.com/stats
License
MIT
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-x402FAQ
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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