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NetIntel Embeddings API
x402
NetIntel Embeddings API is a paid API for AI agents from netintel-production-440c.up.railway.app, paid per call via x402, $0.005/call, status unknown (last checked 2026-10-29).
Converts text (single string or batch of up to 128 strings) into dense vector embeddings using OpenAI's text-embedding-3-small or text-embedding-3-large models, billed per call via x402 micropayments.
Price / call$0.005
Success—
StatusUnknown
How this service works
DNS lookup, WHOIS/RDAP, SSL/TLS certificate checks, email SPF/DKIM/DMARC and deliverability, email verification, IP geolocation and IP reputation, domain age and availability, web page fetch, extract and search, and an OpenAI-compatible LLM gateway — 147 pay-per-call endpoints over x402 (USDC on Base or Solana mainnet), no API keys or signup. NetIntel is agent fair-trade aligned: transparent per-call pricing in USDC on Base or Solana via x402, no API keys or signup, and automatic no-charge on server errors, upstream failures, and input-validation rejections — failed calls are never billed across NetIntel's network, domain, and data-intelligence endpoints.
Output
Returns a JSON object with a 'data' array of embedding objects (each containing index, object type, and the floating-point vector array), the model name used, and a usage object reporting prompt_tokens and total_tokens consumed.
Example use cases
RAG pipeline document ingestion
“I have a batch of 50 product descriptions I need to embed using text-embedding-3-small so I can store them in Pinecone for semantic search — can you vectorize all of them?”
Semantic similarity scoring
“Embed these two sentences with text-embedding-3-large so I can compute their cosine similarity: 'I love machine learning' and 'Deep learning is fascinating.'”
Clustering customer feedback
“I have 200 customer reviews I want to cluster by topic — embed all of them with text-embedding-3-small and return the vectors so I can run k-means on them.”
Technical details
Endpoint
POSThttps://netintel-production-440c.up.railway.app/v1/embeddings?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need OpenAI-compatible text embeddings without an OpenAI API key or subscription, want pay-per-call pricing with no monthly commitment, require USDC micropayment settlement via x402 on Base or Solana, or need guaranteed no-charge on failed calls. Ideal for agents that embed text infrequently or in bursts without predictable volume.
Side effects
- Input text exceeds 64000 character limit for batch — validation rejection, no charge
- More than 128 strings provided in batch — validation rejection, no charge
- Invalid model name specified — validation error, no charge
- Upstream OpenAI API failure — server error, no charge per NetIntel policy
- Malformed JSON body — input validation rejection, no charge
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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