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Onvexia NLP Batch Analyze
x402
Onvexia NLP Batch 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).
Batch-processes multiple blockchain-related text documents through NLP analysis, returning structured insights fused with Onvexia's on-chain analytics dataset.
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 per-document NLP analysis results (entities, sentiment, topics, classifications) and a 'meta' field referencing the OpenAPI documentation and endpoint path. Results are enriched with Onvexia's proprietary blockchain analytics context covering thousands of assets across ten chains.
Example use cases
Bulk crypto news sentiment sweep
“I have 20 recent news articles about Ethereum and Solana — can you batch-analyze all of them through Onvexia's NLP pipeline and tell me the overall sentiment and key themes for each?”
DeFi governance proposal classification
“We've collected 15 governance proposals from various DeFi protocols. Can you run them all through Onvexia batch NLP analysis and extract the main topics, entities mentioned, and sentiment for each proposal?”
Whitepaper entity extraction at scale
“I need to process a batch of 10 new token whitepapers — use Onvexia's NLP analyzer to pull out the key blockchain entities, project names, and risk signals from each document.”
Technical details
Endpoint
POSThttps://onvexia.com/v1/nlp/analyze/batchWhen to prefer
Choose this endpoint when you need to process multiple blockchain-related documents simultaneously through NLP analysis and want results enriched with on-chain context — particularly when you need entity extraction, sentiment, or topic classification across crypto whitepapers, governance proposals, or research reports at scale. Prefer it over generic NLP APIs when blockchain-specific entity recognition and on-chain data fusion are important to your use case.
Side effects
- Empty data array returned if input documents are malformed or unrecognized
- Payment not processed (x402 protocol failure) resulting in 402 response before analysis begins
- Malformed input schema (missing required properties field) causing 400 bad request
- Rate limiting or quota exceeded for batch size, returning partial results
- Documents in unsupported languages or formats may produce empty or low-confidence outputs
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/batch"
}
}
}Tags
x402
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