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Edge Agents AI – Data Quality Stale Series Detector
x402
Edge Agents AI – Data Quality Stale Series 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Detects and reports on stale or outdated data series across cross-market financial and macro datasets, returning a confidence-scored freshness assessment with evidence provenance.
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
Returns a JSON object containing a data quality status (e.g. 'strong'), a confidence level (e.g. 'high'), a cross-market analysis summary identifying stale series, a list of evidence assets, policy and source provenance, a signed issuer record, generation timestamp, schema version, and a disclaimer that findings are general market research and not investment advice.
Example use cases
Pre-trade data freshness check
“Before I run my macro momentum strategy today, can you check whether any of the underlying market data series are stale or have gaps, and give me a confidence rating on the overall data quality?”
Investment committee data audit
“I need to present to the investment committee tomorrow — can you run a stale series check on our cross-market inputs and summarize which sources are fresh versus outdated with evidence?”
Automated pipeline data quality gate
“My AI agent pipeline is about to consume macro data for a decision model — can you validate whether the input series are current and flag any stale or low-confidence data before we proceed?”
Technical details
Endpoint
GEThttps://pay.edge-agents.ai/v1/services/data-quality-stale-seriesWhen to prefer
Choose this endpoint when you need an evidence-backed, confidence-scored assessment of whether specific financial or macro data series are current before consuming them in analytical pipelines, investment decisions, or agent workflows. It is specifically suited for cross-market data freshness validation with signed provenance, making it preferable to generic data checks when auditability and source traceability matter.
Side effects
- Missing or malformed required parameters returns an error with no quality assessment
- Data series not found or not covered results in empty evidence assets and a note on coverage limitations
- Upstream source unavailability may lower confidence rating or return partial results
- Stale or uncached series may trigger a 'complete' dataStatus but with low-confidence findings
- Payment not processed (x402) results in 402 response and no report delivered
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 Stale Series Detector findings appear here."
},
"evidence": {
"assets": [],
"policy": "mixed",
"sources": "Reported from the actual live report; never inferred from this example."
},
"serviceId": "data-quality-stale-series",
"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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