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Delx Data Freshness
x402
Delx Data Freshness is a paid API for AI agents from api.delx.ai, paid per call via x402, $0.003/call, status unknown (last checked 2026-09-13).
Evaluates whether a given data age meets a caller-supplied maximum freshness requirement, returning a deterministic pass/fail assessment
Price / call$0.003
Success—
StatusUnknown
How this service works
Evaluate data age against a caller-supplied freshness objective. Use it as a bounded preflight or analysis step inside an enterprise agent workflow before data, policy, integration, security, or commercial decisions reach production. Returns deterministic machine-readable JSON for $0.003 USDC via x402 on Base or Solana. Execution is first-party, local-only, stateless, memory-only, and has no paid upstream or input retention. Results are advisory; the caller remains responsible for authorization…
Output
Returns deterministic machine-readable JSON indicating whether the input data age (age_seconds) meets the specified maximum freshness threshold (max_age_seconds), including pass/fail status and relevant computed values for downstream decision-making.
Example use cases
Cache expiry preflight before API call
“Before we use this cached user profile that was last updated 7200 seconds ago, check if it's still within our freshness policy of 3600 seconds — I don't want stale data reaching the recommendation engine.”
Policy compliance before data handoff
“We're about to hand off a risk score to the underwriting system. The score is 900 seconds old and our compliance policy says nothing over 1800 seconds is acceptable — can you verify it passes the freshness check?”
Sensor data staleness check before alerting
“The temperature reading from the IoT sensor is 250 seconds old. Our alerting pipeline requires data to be no older than 300 seconds — confirm whether this reading is fresh enough to trigger an alert.”
Technical details
Endpoint
POSThttps://api.delx.ai/api/v1/x402/data-freshnessWhen to prefer
Choose this endpoint when you need a deterministic, stateless, machine-readable freshness evaluation as a lightweight preflight step in an automated workflow — especially before data, policy, security, or commercial decisions. It is ideal when you need a clear pass/fail signal based on a caller-defined age threshold rather than building custom comparison logic. Prefer it over custom code when operating inside an agent pipeline where auditability and low latency matter.
Side effects
- Missing required field age_seconds returns an error response
- Missing required field max_age_seconds returns an error response
- Non-numeric values for age_seconds or max_age_seconds cause validation errors
- Negative age values may produce undefined or error results
- Payment failure via x402 prevents execution
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| age_seconds | number | Input field: age_seconds. |
| max_age_seconds | number | Input field: max_age_seconds. |
Output
Schema · Response
{
"type": "json",
"example": {
"fresh": true,
"schema": "delx/util-data-freshness/v1",
"age_seconds": 300,
"max_age_seconds": 900,
"overdue_seconds": 0,
"freshness_percent": 66.6667
}
}Tags
x402
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