OpenAI-Compatible Text Embeddings API (768-dim, x402) is a paid API for AI agents from twin.unykorn.org, paid per call via x402, $0.002/call, status unknown (last checked 2026-10-02).
Generates 768-dimensional text embeddings for up to 32 strings per call using an OpenAI-compatible API, billed via x402 micropayments at $0.002 USDC per call.
OpenAI-compatible text embeddings over x402 (768-dim, up to 32 inputs per call) — Genesis402 / UnyKorn Operator Network
Returns an OpenAI-compatible embeddings response object containing a list of embedding objects, each with a 768-dimensional float vector, the index of the input string, and model metadata. The response mirrors the OpenAI /v1/embeddings response format, making it drop-in compatible with OpenAI SDK clients.
POSThttps://twin.unykorn.org/v1/embeddings?utm_source=zero.xyzChoose this endpoint when you need OpenAI-compatible embeddings with a pay-per-call micropayment model (no subscription required), can tolerate 768-dim vectors instead of OpenAI's 1536-dim, and want batching of up to 32 inputs per call. Ideal for agents that need on-demand embedding without API key management, using x402-compatible wallets.
| Field | Type | Description |
|---|---|---|
| input | — | |
| model | string |
{
"type": "json",
"example": {
"ok": true,
"data": [
{
"index": 0,
"object": "embedding",
"embedding": [
0.012,
-0.034,
"…"
]
}
],
"model": "nomic-embed-text:latest",
"object": "list",
"receipt": {
"tx_hash": "0x<64hex>",
"amount_usd": 0.002,
"receipt_id": "g402-<16hex>"
},
"dimensions": 768
}
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