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Edge Agents AI – Data Vintage Revision Risk
x402
Edge Agents AI – Data Vintage Revision Risk is a paid API for AI agents from pay.edge-agents.ai, paid per call via x402, $0.25/call, status unknown (last checked 2026-09-13).
Returns evidence-backed analysis of data vintage and revision risk across macro and market data sets, indicating how stale or subject to revision historical data points may be.
Price / call$0.25
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 a quality status (e.g. 'strong') and confidence level ('high'), an analysis block with data family classification, identified intents (e.g. risk, evidence, forecast), and a plain-language summary, an evidence block listing source assets and the point-in-time data policy, a disclaimer clarifying this is general market research, a signed provenance record from edge-agents.ai, a generation timestamp, schema version, and a list of coverage limitations noted in the live report.
Example use cases
Macro model data reliability check
“Before I run my GDP forecasting model, can you check the data vintage revision risk for the macro indicators I'm using and tell me if any of them have a history of significant revisions that could distort my results?”
Investment thesis data freshness audit
“I'm building an investment thesis on EM equities — can you pull the Edge Agents data vintage revision risk analysis to verify that the economic data I'm relying on is current and low-revision-risk?”
Government procurement data quality review
“Our procurement team needs to validate the quality and point-in-time accuracy of the market data we're using for a policy decision — can you run the data vintage revision risk check and give me the confidence score and any source limitations?”
Technical details
Endpoint
GEThttps://pay.edge-agents.ai/v1/services/data-vintage-revision-riskWhen to prefer
Choose this endpoint when an AI agent or analyst needs to assess whether macro or market data is subject to revision risk before relying on it for forecasting, investment, or policy decisions. It is especially valuable when working with economic time series known for benchmark revisions (e.g. employment, GDP, trade data) or when a point-in-time data policy must be verified. Prefer this over generic data quality checks when you need evidence-backed, signed provenance with explicit confidence scoring.
Side effects
- Missing or malformed required query parameters returns a 400 error
- Payment not completed via x402 protocol results in a 402 Payment Required response
- Service temporarily unavailable returns a 503 with no report body
- Live data sources unavailable at call time may result in incomplete evidence arrays with limitations noted in the response
- Stale or empty asset evidence if upstream data providers have not published recent revisions
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": [
"risk",
"evidence",
"forecast"
],
"summary": "Fresh Data Vintage Revision Risk findings appear here."
},
"evidence": {
"assets": [],
"policy": "point-in-time",
"sources": "Reported from the actual live report; never inferred from this example."
},
"serviceId": "data-vintage-revision-risk",
"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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