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Delx Commerce — JSON Timestamp Fields Check
x402
Delx Commerce — JSON Timestamp Fields Check is a paid API for AI agents from commerce.delx.ai, paid per call via x402, $0.001/call, status unknown (last checked 2026-10-01).
Validates that specified fields within a JSON object contain timestamp values falling within a given epoch range, returning a pass/fail result with details on any invalid fields.
Price / call$0.001
Success—
StatusUnknown
How this service works
Pay-per-result APIs for agents. No signup. Exact price. Verifiable delivery. USDC on Base + Solana via x402.
Output
Returns a JSON object indicating whether all specified timestamp fields passed validation (passed: true/false), a list of any invalid fields, the overall status ('pass' or 'fail'), the operation name, and an evidence block containing the SHA-256 hash of the input and confirmation that no data was retained and no external calls were made.
Example use cases
Validate API response timestamps
“I have a JSON response from an external API and I need to make sure the 'timestamp' and 'event_time' fields both fall between epoch 1680000000 and 1720000000 — can you check if they're valid?”
Audit ingested event records
“Before we store these event records, check that the 'occurred_at' field in each JSON object is a valid epoch timestamp between 1672531200 and 1704067200, and tell me which ones fail.”
Enforce data freshness in pipeline
“We only want to process records where the 'created_at' timestamp is no older than epoch 1710000000 and no newer than 1740000000 — can you validate this JSON object's timestamp fields against those bounds?”
Technical details
Endpoint
POSThttps://commerce.delx.ai/api/v1/x402/json-timestamp-fields-check?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need a lightweight, pay-per-use, no-signup timestamp validation check for JSON objects with verifiable, tamper-evident results (SHA-256 input hash). It is ideal for AI agents that need to enforce data freshness or temporal constraints on JSON payloads without standing up their own validation logic, and when auditability (retained: false, external_calls: 0) is important. Prefer it over custom code when processing is bounded, stateless, and the $0.001 USDC cost per call is acceptable.
Side effects
- Fields specified do not exist in the provided object — invalid_fields list will be populated
- Timestamp values are outside the specified minimum/maximum epoch range — result.passed will be false
- Malformed JSON object input causing a 400 error
- Too many properties in object (>128) or too many fields (>256) causing a validation error
- Missing required parameters resulting in an error response
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| fields | array | Fields supplied to JSON Timestamp Fields Check; used only for this bounded calculation and processed in memory without retention. |
| object | object | Object supplied to JSON Timestamp Fields Check; used only for this bounded calculation and processed in memory without retention. |
| maximum_epoch | integer | Maximum Epoch supplied to JSON Timestamp Fields Check; used only for this bounded calculation and processed in memory without retention. |
| minimum_epoch | integer | Minimum Epoch supplied to JSON Timestamp Fields Check; used only for this bounded calculation and processed in memory without retention. |
Output
Schema · Response
{
"type": "json",
"example": {
"result": {
"passed": true,
"invalid_fields": []
},
"schema": "delx/util-json-timestamp-fields-check/v1",
"status": "pass",
"evidence": {
"retained": false,
"input_sha256": "c12d2ec16714eac59b617fadcb92ec5fbee3fc2095362925f77691ae25cca0ee",
"external_calls": 0
},
"operation": "data_batch:json_timestamp_fields_check"
}
}Tags
x402
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