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Edge Agents Market Data Freshness Check
x402
Edge Agents Market Data Freshness Check is a paid API for AI agents from pay.edge-agents.ai, paid per call via x402, $0.01/call, status unknown (last checked 2026-09-14).
Returns a freshness and quality assessment of cross-market data sources with confidence scoring, provenance, and evidence summaries for decision intelligence
Price / call$0.01
Success—
StatusUnknown
How this service works
Machine-readable status and age checks for every live market, sentiment and validation source used by the Edge Agents market layer. Purpose: Let machine buyers verify whether current market evidence is fresh enough for downstream use. 5-minute freshness target; missing evidence is reported explicitly rather than invented.
Output
A JSON report containing: overall data freshness status (e.g. 'strong'), confidence level (e.g. 'high'), data family classification (e.g. 'cross-market'), identified market intents (e.g. 'evidence', 'sentiment'), a human-readable findings summary, a list of asset evidence, the data policy (e.g. 'live'), source provenance with issuer URL and signed flag, generation timestamp, schema version, limitations disclosure, and a standard non-investment-advice disclaimer.
Example use cases
Pre-board data quality gate
“Before we finalize the board deck, can you check whether the market data we're relying on is fresh and high-confidence? I need to know if there are any staleness warnings or coverage gaps I should flag.”
CFO pre-decision data validation
“I'm about to sign off on a major capital allocation decision — can you verify that our current market intelligence is live and properly sourced, not inferred or stale?”
Autonomous agent data freshness audit
“Before the strategy agent runs its next analysis cycle, check whether the underlying market data is still fresh and flag any sources that have dropped below high confidence.”
Technical details
Endpoint
GEThttps://pay.edge-agents.ai/v1/services/market-data-freshnessWhen to prefer
Choose this endpoint when you need to verify the freshness and quality of cross-market data before relying on it for strategic decisions, board presentations, or autonomous agent workflows. It is particularly suited for decision intelligence pipelines where provenance, confidence scoring, and explicit limitations matter — not just raw data retrieval. Prefer this over generic market data APIs when you need signed provenance, bounded confidence assessments, and contradiction flagging rather than raw price feeds.
Side effects
- Missing or malformed required parameters returns an error with no report
- Payment failure (non-payment of $0.01 USDC) results in HTTP 402 and no data returned
- Data unavailability for requested assets results in empty assets array with limitations noted in report
- Stale or uncrawlable sources may result in lower confidence scores rather than a hard error
- Response may include limitations array if coverage is incomplete for the requested scope
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",
"sentiment"
],
"summary": "Fresh Market Data Freshness Check findings appear here."
},
"evidence": {
"assets": [],
"policy": "live",
"sources": "Reported from the actual live report; never inferred from this example."
},
"serviceId": "market-data-freshness",
"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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