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Onvexia NLP Analyze
x402
Onvexia NLP Analyze is a paid API for AI agents from onvexia.com, paid per call via x402, $0.002/call, status unknown (last checked 2026-09-19).
Runs NLP analysis on blockchain-related text documents, extracting structured insights from the Onvexia corpus of half a million analysed crypto documents across ten chains.
Price / call$0.002
Success—
StatusUnknown
How this service works
Thousands of assets across ten chains, half a million analysed documents, labelled addresses and supply-age history reaching back to 2008 — fused into one reading per asset. REST, SQL, GraphQL and MCP.
Output
Returns a JSON object with a `data` array containing NLP analysis results (entities, labels, classifications, or extracted signals depending on input) and a `meta` object with documentation links and the endpoint path. The exact structure of data items depends on the properties passed; refer to the OpenAPI spec at onvexia.com/openapi.json for full schema.
Example use cases
Token due diligence from documents
“I'm researching a new DeFi token — can you use Onvexia to run NLP analysis on its whitepaper text and tell me what key entities, risks, and supply details show up across their half-million-document corpus?”
Labelled address extraction from text
“I have a paragraph from a blockchain forensics report mentioning several wallet addresses — can you send it through Onvexia's NLP endpoint and identify which addresses are labelled in their database?”
Sentiment analysis on crypto asset coverage
“Here's a block of analyst commentary about Bitcoin's 2024 supply dynamics — run it through Onvexia's NLP analyzer and tell me the overall sentiment and any structured signals it extracts.”
Technical details
Endpoint
POSThttps://onvexia.com/v1/nlp/analyzeWhen to prefer
Choose this endpoint when you need NLP-based extraction or classification on blockchain and crypto-related text and want to leverage Onvexia's proprietary corpus of half a million analysed documents with labelled addresses and multi-chain supply-age history dating to 2008. It is particularly valuable when you need document-grounded insights rather than raw on-chain data queries, and when your input is free-form text rather than structured blockchain parameters.
Side effects
- Malformed or empty `properties` string returns empty `data` array
- Input referencing assets not in the ten-chain corpus may yield sparse results
- Insufficient USDC balance (x402 payment failure) blocks the call
- Rate limiting or network errors return non-200 HTTP responses
- Ambiguous or very short text inputs may produce low-confidence or empty extractions
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| properties | string |
Output
Schema · Response
{
"type": "json",
"example": {
"data": [],
"meta": {
"docs": "https://onvexia.com/openapi.json",
"endpoint": "/v1/nlp/analyze"
}
}
}Tags
x402
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