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Onvexia Natural Language Screen
x402
Onvexia Natural Language Screen is a paid API for AI agents from onvexia.com, paid per call via x402, $0.001/call, status unknown (last checked 2026-09-17).
Screen crypto assets using a natural language query against Onvexia's fused blockchain analytics database covering thousands of assets across ten chains
Price / call$0.001
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' field containing an array of matching assets or analytics rows based on the natural language query, and a 'meta' field describing coverage scope, provenance, what was measured, and what data is not held. An empty data array means no assets matched the query, not that the metric is unsupported.
Example use cases
Momentum screening for trading signals
“Screen crypto assets for me using Onvexia — I want tokens that are top gainers with rising social volume across any of their supported chains.”
Risk filter for labelled addresses
“Can you query Onvexia to find assets where a significant portion of supply is held by labelled exchange or flagged addresses? I want to know which tokens might have hidden concentration risk.”
Historical accumulation discovery
“Use Onvexia to screen for tokens that have been steadily accumulated since before 2015 and still have low circulating supply age — I'm looking for long-term holder conviction signals.”
Technical details
Endpoint
GEThttps://onvexia.com/v1/screen/nlWhen to prefer
Choose this endpoint when you want to screen or discover crypto assets using plain English queries against a broad, fused dataset covering thousands of tokens across ten blockchains, labelled addresses, document analysis, and supply-age history back to 2008. Prefer it over raw on-chain data APIs when you need multi-signal fusion (social, on-chain, document) in one call, or when you need natural language flexibility rather than rigid filter parameters. Best suited for discovery and screening workflows rather than deep single-asset analysis.
Side effects
- Empty data array when no assets match the query criteria — not an error
- Null label in meta means no label is held for that subject, not that it is safe or clean
- Query too vague or ambiguous may return broad or unexpected results
- Payment required (402) if USDC payment not provided
- Rate limiting if too many requests per period
- Unsupported chain or asset may return empty coverage metadata
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| input | object | |
| output | object |
Output
Schema · Response
{
"type": "json",
"example": {
"data": [],
"meta": {
"docs": "https://onvexia.com/openapi.json",
"endpoint": "/v1/screen/nl"
}
}
}Tags
x402
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