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Edge Agents AI Data Quality Revision Detector
x402
Edge Agents AI Data Quality Revision Detector 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).
Detects and reports on data quality revisions in cross-market datasets, flagging fresh release revision findings with evidence-backed confidence assessments.
Price / call$0.1
Success—
StatusUnknown
How this service works
Release Revision Detector for official macro evidence tracked by Edge Agents, with explicit baseline and persistence limitations. Purpose: identify values that changed for the same official source and observation period after Edge Agents first observed them 24-hour freshness target; missing evidence is reported explicitly rather than invented.
Output
Returns a structured JSON report including a quality status (e.g. 'strong') and confidence level (e.g. 'high'), a cross-market analysis summary with detected intents and family classification, an evidence block listing supporting assets and policy, provenance information with issuer identity and signing status, a timestamp, schema version, and a disclaimer clarifying the research is not investment advice. The report explicitly states coverage limitations and source freshness.
Example use cases
Macro data integrity check before investment decision
“Before I finalize my portfolio rebalancing, can you run Edge Agents' data quality revision detector to see if any recent macro data releases have been revised or corrected, and what the confidence is on the findings?”
Government statistics revision monitoring
“I need to know if any of the government economic data we're relying on for our procurement decision has been revised recently — can you use the Edge Agents revision detector to check and give me a summary with evidence?”
Cross-market data freshness validation for AI agent pipeline
“Our AI agent pipeline is pulling cross-market data for a report — can you run the data quality revision detector to verify the data hasn't been subject to any revisions and confirm the quality status is strong?”
Technical details
Endpoint
GEThttps://pay.edge-agents.ai/v1/services/data-quality-revision-detectorWhen to prefer
Choose this endpoint when you need to verify whether cross-market or macro data has been subject to recent revisions, corrections, or quality changes — particularly before high-stakes decisions in investment, procurement, or government policy contexts. Prefer this over generic data validation tools when you require evidence-backed, signed provenance and explicit confidence scoring on revision detection rather than simple schema validation.
Side effects
- Missing or malformed required parameters may return an error or incomplete result
- Data unavailable for the requested market or time window — stated explicitly in the report limitations field
- Low confidence result when evidence sources are sparse or mixed
- Payment failure via x402 protocol results in 402 response and no data returned
- Stale or incomplete source data acknowledged in the limitations array of the response
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 Release Revision Detector findings appear here."
},
"evidence": {
"assets": [],
"policy": "mixed",
"sources": "Reported from the actual live report; never inferred from this example."
},
"serviceId": "data-quality-revision-detector",
"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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