Text embeddings (BGE-M3)

$0.003 per call · failed calls are never charged · no account or API key needed

A 1,024-dimension embedding vector for up to 4,000 characters of text in 100+ languages, from BAAI's BGE-M3. Use for semantic search, RAG retrieval, clustering and deduplication.

Run it free (25 free calls) Buy credits by card (from $5) Example result (JSON)

Inputs

Name	Type	Description
`text` (required)	string	Text 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/embed?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/embed?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, Monad, World Chain or Tempo) 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_embed, and the first 25 successful calls are free:

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

Text embeddings (BGE-M3)

Inputs

Request

Example result

From an AI agent (MCP)

Related tools