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Delx Commerce — JSON Pattern Fields Check
x402
Delx Commerce — JSON Pattern 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 2026-10-02).
Validates whether specified fields in a JSON object match a given pattern, returning pass/fail results and a list of any invalid fields.
Price / call$0.001
Success—
StatusUnknown
How this service works
Pay-per-result APIs for agents. No signup. Exact price. Verifiable delivery. USDC on Base + Solana via x402.
Output
Returns a JSON object containing: a 'result' with a boolean 'passed' flag and an 'invalid_fields' array listing any fields that failed the pattern check; a 'status' field ('pass' or 'fail'); an 'evidence' block with the input SHA256 hash, a 'retained: false' flag confirming no data is stored, and a count of external calls made; plus the operation name and schema version.
Example use cases
Validate user-submitted form fields
“I have a JSON object from a user signup form and I need to verify that the 'username' and 'referral_code' fields both match the pattern '^[a-zA-Z0-9_]{3,20}$'. Can you check which ones are valid and list any that fail?”
Audit API response fields for conformance
“Take this API response JSON and check whether the fields 'transaction_id', 'account_ref', and 'batch_code' all conform to the pattern '^[A-Z]{2}[0-9]{8}$'. Let me know if any of them are invalid.”
Pre-flight check on config fields before deployment
“Before I deploy, can you run a pattern check on this config object to confirm that the 'env', 'region', and 'app_name' fields all match '^[a-z][a-z0-9-]{1,30}$' and tell me which ones don't?”
Technical details
Endpoint
POSThttps://commerce.delx.ai/api/v1/x402/json-pattern-fields-check?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need a lightweight, no-signup, pay-per-call validation of specific fields within a JSON object against a string pattern, especially in automated agent pipelines that require verifiable, tamper-evident results (SHA256 evidence) and no data retention. Ideal for CI/CD pre-flight checks, form validation pipelines, or API response auditing where cost predictability ($0.001 per call) and proof of execution matter more than a full schema validation framework.
Side effects
- Malformed or missing 'pattern' field returns a validation error
- 'fields' array exceeding 256 items is rejected
- 'object' with more than 128 properties is rejected
- Invalid JSON in the 'object' field causes a parse error
- Pattern string exceeding 8192 characters is rejected
- Field names in 'fields' array not present in 'object' may be treated as failed or skipped — behavior depends on implementation
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| fields | array | Fields supplied to JSON Pattern Fields Check; used only for this bounded calculation and processed in memory without retention. |
| object | object | Object supplied to JSON Pattern Fields Check; used only for this bounded calculation and processed in memory without retention. |
| pattern | string | Pattern supplied to JSON Pattern 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-pattern-fields-check/v1",
"status": "pass",
"evidence": {
"retained": false,
"input_sha256": "76c212959ee62ae10d1069f1f04a0f1ac36073c0c300552b25ad1c9929a1bd35",
"external_calls": 0
},
"operation": "data_batch:json_pattern_fields_check"
}
}Tags
x402
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