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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 2026-09-15).
Converts text (or batches 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
Network intelligence API — 138 endpoints, all pay-per-call via x402 micropayments (USDC on Base or Solana mainnet). 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 where each element contains the embedding vector (floating-point array), its index, and object type. Also includes the model name used and token usage stats (prompt_tokens, total_tokens).
Example use cases
RAG pipeline document ingestion
“I need to vectorize these 50 product descriptions so I can store them in my Pinecone index for semantic search — embed them all using text-embedding-3-small.”
Semantic similarity scoring
“Generate embeddings for both of these two customer support messages using text-embedding-3-large so I can compute their cosine similarity and detect if they're duplicates.”
Keyword-free content clustering
“Embed all 30 of these news headlines with text-embedding-3-small at 256 dimensions so I can cluster them by topic without any keyword matching.”
Technical details
Endpoint
POSThttps://netintel-production-440c.up.railway.app/api/v1/embeddingsWhen to prefer
Choose this endpoint when you need OpenAI-compatible text embeddings without API keys or monthly subscriptions, pay only per call, and want guaranteed no-charge on failures. Ideal for agents that embed text intermittently or at variable volume, or when operating in a crypto-native / x402 payment environment. Supports batching up to 128 strings per call for efficiency.
Side effects
- Input text exceeds 64,000 character limit for batch requests — returns validation error, no charge
- Batch size exceeds 128 strings — rejected at input validation, no charge
- Invalid model name provided — returns validation error
- Upstream OpenAI API failure — server error returned, no charge applied
- Malformed JSON body — HTTP 400, 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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