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NetIntel Text Embeddings
x402
NetIntel Text Embeddings is a paid API for AI agents from netintel.dev, paid per call via x402, $0.005/call, status unknown (last checked 2026-09-15).
Converts input text into a vector embedding using text-embedding-3-small, returning a float array suitable for semantic search, similarity, or downstream ML tasks.
Price / call$0.005
Success—
StatusUnknown
How this service works
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.
Output
Returns a JSON object containing a list of embedding objects, each with an index, object type, and a float array (the embedding vector); also includes the model name ('text-embedding-3-small') and token usage counts (prompt_tokens, total_tokens).
Example use cases
Example prompt
“Can you generate a text embedding vector for the sentence 'The quick brown fox jumps over the lazy dog' so I can store it in my vector database for semantic search?”
Technical details
Endpoint
POSThttps://netintel.dev/v1/embeddingsWhen to prefer
Choose this endpoint when you need pay-per-call text embeddings with no signup, no API key, and automatic no-charge on failures — ideal for agents that need on-demand embeddings without committing to a subscription, or when building RAG pipelines, semantic search, or clustering workflows that fire infrequently or unpredictably.
Side effects
- Empty or missing input text — input validation rejection, no charge
- Text exceeds token limit — validation error returned, no charge
- Upstream model provider failure — server error returned, no charge
- Malformed JSON request body — 400-level error, no charge
- Network timeout or infrastructure error — no charge per NetIntel policy
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| inputrequired | object | |
| output | object |
Output
Schema · Response
{
"type": "json",
"example": {
"data": [
{
"index": 0,
"object": "embedding",
"embedding": [
0.0102,
-0.0083,
0.0264
]
}
],
"model": "text-embedding-3-small",
"usage": {
"total_tokens": 4,
"prompt_tokens": 4
},
"object": "list"
}
}Tags
x402
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