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Edge Agents AI – Data Quality Vintage Alignment
x402
Edge Agents AI – Data Quality Vintage Alignment is a paid API for AI agents from pay.edge-agents.ai, paid per call via x402, $0.1/call, status unknown (last checked 2026-09-14).
Returns evidence-backed cross-market vintage alignment analysis assessing data quality status and confidence for macro and market intelligence use cases.
Price / call$0.1
Success—
StatusUnknown
How this service works
Edge Agents provides evidence-backed macro, market and decision intelligence for AI agents, individual leaders and investors, businesses and government teams requiring consulting, procurement and decision support. Machine services are purchasable per request over x402 on 5 settlement rails (Base/USDC, XRPL/RLUSD, Solana/USDC, Arbitrum/USDC and Polygon/USDC).
Output
A JSON object containing: data quality status (e.g. 'strong') and confidence level (e.g. 'high'); a cross-market vintage alignment analysis summary with identified intents and asset family; an evidence block listing source assets, point-in-time policy, and actual live sources; provenance metadata including issuer URL and digital signature flag; a generatedAt timestamp; schema version; limitations disclosures; and a disclaimer confirming the output is general market research, not investment advice.
Example use cases
Pre-model data quality gate
“Before I feed these cross-market macro series into our forecasting model, can you check whether the data is properly vintage-aligned and give me a quality status and confidence level?”
Investment report data validation
“I'm putting together an investor briefing and need to confirm that the market data I'm using is fresh and consistently aligned across series — can you run a vintage alignment quality check and return the evidence?”
Government procurement data audit
“We need a signed, provenance-verified data quality report showing point-in-time vintage alignment status for our cross-market data ahead of a procurement review — can you pull that?”
Technical details
Endpoint
GEThttps://pay.edge-agents.ai/v1/services/data-quality-vintage-alignmentWhen to prefer
Choose this endpoint when you need an evidence-backed, signed, point-in-time assessment of cross-market data quality and vintage alignment — particularly when audit-grade provenance, confidence scoring, and source traceability matter. Prefer this over generic data validation tools when the use case involves macro or market intelligence, investment decision support, or government procurement contexts requiring disclaimers and signed reports.
Side effects
- Missing or malformed required query parameters may return an error or incomplete report
- Unavailable or sparse evidence for the requested data series results in limitations noted within the report body rather than a hard error
- Payment failure (HTTP 402) if USDC payment is not properly attached
- Data series with no coverage returns a report with empty evidence assets array and explicit coverage limitations
- Stale or unresolvable data sources noted in limitations field rather than causing a failure
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| required | string | |
| properties | string |
Output
Schema · Response
{
"type": "json",
"example": {
"quality": {
"status": "strong",
"confidence": "high"
},
"analysis": {
"family": "cross-market",
"intents": [
"evidence"
],
"summary": "Fresh Cross-Series Vintage Alignment findings appear here."
},
"evidence": {
"assets": [],
"policy": "point-in-time",
"sources": "Reported from the actual live report; never inferred from this example."
},
"serviceId": "data-quality-vintage-alignment",
"dataStatus": "complete",
"disclaimer": "General, impersonal market research; not investment advice or a buy, sell or hold recommendation.",
"provenance": {
"issuer": "https://edge-agents.ai",
"signed": true
},
"generatedAt": "2026-08-31T00:00:00.000Z",
"limitations": [
"Coverage, source freshness and unavailable evidence are stated in every paid report."
],
"schemaVersion": "2.0"
}
}Tags
x402
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