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Onvexia Substance — Blockchain Asset Analytics Feed
x402
Onvexia Substance — Blockchain Asset Analytics Feed is a paid API for AI agents from onvexia.com, paid per call via x402, $0.001/call, status unknown (last checked 2026-09-19).
Returns a paginated list of blockchain assets enriched with on-chain analytics including labelled addresses, supply-age history, and document-derived signals fused into a single reading per asset.
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
A JSON object with a 'data' array of asset analytics records (empty array if no rows, not unsupported) and a 'meta' object describing coverage and provenance — what was measured, what is not held, and a link to the full OpenAPI spec. Each asset record contains fused signals from labelled addresses, supply-age history back to 2008, and half a million analysed documents across ten chains.
Example use cases
Due diligence on crypto token roster
“Give me the top 200 blockchain assets from Onvexia's substance feed so I can review their labelled addresses and how far back their on-chain history goes — I'm doing due diligence before investing.”
Flagging low-substance tokens for risk screening
“Fetch the full list of assets from Onvexia's analytics — up to 300 — and flag any where the coverage metadata shows missing labels or thin document evidence so I can deprioritise them in our risk model.”
Populating a cross-chain asset intelligence dashboard
“Pull 50 assets from Onvexia's substance endpoint to populate my dashboard — I need the fused per-asset analytics including supply age and document analysis across all ten chains they cover.”
Technical details
Endpoint
GEThttps://onvexia.com/v1/ai/substanceWhen to prefer
Choose this endpoint when you need a broad, pre-fused per-asset intelligence feed across many blockchain assets at once — particularly when you require supply-age history reaching back to 2008, labelled addresses, or document-derived on-chain signals fused into a single record. Prefer this over building your own aggregation when coverage transparency (via the meta field) matters to your use case. It is the right choice when you want multi-chain breadth (ten chains) rather than deep per-transaction data on a single chain.
Side effects
- Empty data array returned when no assets match — this means no rows in range, not that the metric is unsupported
- limit parameter exceeding 300 may be rejected or capped
- 402 Payment Required if USDC micropayment via x402 is not attached to the request
- meta.label being null means no label is held for that address, not that the subject is safe
- Malformed limit query parameter (non-numeric string) may return 400
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/ai/substance"
}
}
}Tags
x402
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