OpenAI-compatible text embeddings API — standard /v1/embeddings request shape
OpenAI-compatible text embeddings API — standard /v1/embeddings request shape: input as a string or a batch of up to 128 strings (64000 chars total on text-embedding-3-small, the default; 24000 on text-embedding-3-large). Flat $0.005 per call in USDC via x402, no OpenAI account or API key. Returns float vectors for RAG, semantic search, clustering, and dedup.
Answeringour last check, 2026-09-24
1 of 1checks answered this week
913 msmedian answer time
$0.005listed price per call
$0.005price it asked us
Paid test badge: not yet. The checks above are free: we call the tool without paying and read the payment request it sends back. The Verified badge needs paid calls whose answers match the promised output, and nobody can buy a badge.
Endpoint
POST https://netintel.dev/v1/embeddings
| Category | Search and research |
|---|---|
| Provider host | netintel.dev |
| Networks | eip155:8453, solana:5eykt4UsFv8P8NJdTREpY1vzqKqZKvdp |
| Payment schemes | exact |
| Self-reported calls, 30 days | 1 from 1 payers (the provider's figure, not ours) |
Our checks, last 30 days
| Day | Result | HTTP | Asked | Time |
|---|---|---|---|---|
| 2026-09-24 | valid payment request | 402 | $0.005 | 913 ms |
Example input (from the provider)
{
"body": {
"input": "the quick brown fox",
"model": "text-embedding-3-small"
},
"bodyType": "json",
"method": "POST",
"type": "http"
}
Promised output schema (from the provider)
{
"$schema": "https://json-schema.org/draft/2020-12/schema",
"properties": {
"input": {
"additionalProperties": false,
"properties": {
"body": {
"properties": {
"dimensions": {
"description": "Optional output vector size (truncation).",
"type": "number"
},
"input": {
"description": "Text to embed. Also accepts an array of up to 128 strings (64000 chars total).",
"type": "string"
},
"model": {
"description": "text-embedding-3-small (default) or text-embedding-3-large",
"type": "string"
}
},
"required": [
"input"
],
"type": "object"
},
"bodyType": {
"enum": [
"json",
"form-data",
"text"
],
"type": "string"
},
"method": {
"enum": [
"POST"
],
"type": "string"
},
"type": {
"const": "http",
"type": "string"
}
},
"required": [
"type",
"method",
"bodyType",
"body"
],
"type": "object"
},
"output": {
"properties": {
"example": {
"properties": {
"data": {
"description": "[{object:'embedding', index, embedding:[\u2026]}]",
"type": "array"
},
"model": {
"type": "string"
},
"object": {
"description": "Always 'list'",
"type": "string"
},
"usage": {
"description": "prompt_tokens, total_tokens (input-only)",
"type": "object"
}
},
"type": "object"
},
"type": {
"type": "string"
}
},
"required": [
"type"
],
"type": "object"
}
},
"required": [
"input"
],
"type": "object"
}