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agent402.tools Text Embeddings
x402
agent402.tools Text Embeddings is a paid API for AI agents from agent402.tools, paid per call via x402, $0.002/call, status unknown (last checked 2026-09-15).
Generates OpenAI-compatible text embeddings via x402 micropayment, no API key required, supporting up to 64 inputs per batch using text-embedding-3-small, text-embedding-3-large, or text-embedding-ada-002.
Price / call$0.002
Success—
StatusUnknown
How this service works
OpenAI-compatible text embeddings (text-embedding-3-small by default; 3-large and ada-002 supported), up to 64 inputs or 16k chars per call, returned in the standard OpenAI shape. Identical inputs repeated within 10 minutes are served free from cache. Use it for semantic search, clustering and retrieval from any OpenAI SDK by changing base_url.
Output
Returns an OpenAI-compatible embeddings response containing one float vector per input string, plus token usage counts. The vectors can be used directly with OpenAI-SDK-compatible downstream tooling for semantic search, clustering, or similarity ranking.
Example use cases
Example prompt
“Convert these three product descriptions into embeddings so I can use them in a semantic search index: 'wireless noise-cancelling headphones', 'over-ear bluetooth headphones with ANC', 'premium studio monitor headphones' — use the text-embedding-3-small model.”
Technical details
Endpoint
POSThttps://agent402.tools/v1/embeddingsWhen to prefer
Choose this endpoint when you need OpenAI-compatible embeddings without managing API keys or subscriptions, especially in autonomous agent contexts that support x402 micropayments. Ideal for pay-per-use pipelines, RAG systems, or prototyping where you want drop-in OpenAI SDK compatibility and batch embedding of up to 64 strings per call.
Side effects
- Payment not received or insufficient USDC — returns 402 Payment Required
- Input exceeds 64 strings or 16k total characters — returns 400 Bad Request
- Unsupported model name specified — returns 400 or model not found error
- Network timeout if payload is large
- Invalid JSON body — returns 400
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| input | string | Text to embed - a string or an array of up to 64 strings (16k chars total) |
| model | string | Optional - text-embedding-3-small (default), text-embedding-3-large, or text-embedding-ada-002 |
| dimensions | number | Optional output dimensions (3-small/3-large only) |
Output
Schema · Response
{
"type": "json",
"example": {
"data": [
{
"index": 0,
"object": "embedding",
"embedding": [
0.0023,
-0.0091,
0.0152
]
}
],
"model": "text-embedding-3-small",
"usage": {
"total_tokens": 12,
"prompt_tokens": 12
},
"object": "list"
}
}Tags
x402
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