Text embeddings API: 1,024-dimension vectors for semantic search and RAG

$0.01 per call · failed calls are never charged · no account or subscription: pay per call with a card key or USDC

Text embeddings API: a 1,024-dimension vector for up to 4,000 characters of text in 100+ languages (BAAI BGE-M3), also OpenAI-compatible at /v1/embeddings. Use for semantic search, RAG retrieval, clustering, deduplication and similarity scoring.

Run it free (25 free calls) Buy credits by card (from $1) Example result (JSON)

Try it with your own inputs

Text to embed, up to 4,000 characters

Uses one of your 25 free calls. Nothing is charged, and a call that fails is not counted.

Inputs

NameTypeDescription
text (required)stringText to embed, up to 4,000 characters

Request

Over HTTP, with a card key from /credits:

curl -H "Authorization: Bearer adt_…" "https://agent-data-tools.revmesh2074.workers.dev/ai/embeddings?text=pay-per-call%20APIs%20for%20AI%20agents"

Or one of your 25 free calls, no key:

curl "https://agent-data-tools.revmesh2074.workers.dev/ai/embeddings?text=pay-per-call%20APIs%20for%20AI%20agents&trial=1"

Without a key, the same URL answers 402 Payment Required with x402 and MPP terms, so an agent with a wallet pays per call in USDC (Base, Polygon, Arbitrum or Solana over x402; Base or Tempo over MPP) and retries.

Example result

{
  "dimensions": 1024,
  "embedding": [
    0.0123,
    -0.0456,
    0.0789
  ],
  "model": "@cf/baai/bge-m3"
}

From an AI agent (MCP)

Add the MCP server to Claude, Cursor or any MCP client. This tool is ai_embeddings, and the first 25 successful calls are free:

https://agent-data-tools.revmesh2074.workers.dev/mcp

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