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Weverlabs Data Evidence Check
x402
Weverlabs Data Evidence Check is a paid API for AI agents from weverlabs.com, paid per call via x402, $0.1/call, status unknown (last checked 2026-11-02).
Analyzes a submitted JSON sample for field presence, empty values, types, timestamps, source attribution, and duplicate keys, returning a signed evidence report with receipt.
Price / call$0.1
Success—
StatusUnknown
How this service works
Data evidence report for a submitted JSON sample: field presence, empty values, types, timestamps, source attribution and duplicate keys, with a signed receipt.
Output
A structured evidence report covering: which required fields are present or missing, which fields contain empty or null values, detected data types per field, timestamp field analysis, source attribution metadata, any duplicate keys found, and a cryptographically signed receipt confirming the check was performed.
Example use cases
Financial data feed quality gate
“Before we ingest this market data JSON into our pipeline, run an evidence check on it to verify all required fields like 'symbol', 'price', and 'timestamp' are present and non-empty, and give me a signed receipt I can attach to the audit log.”
Ownership data compliance audit
“I have a JSON sample from our ownership data provider — can you audit it for field completeness, detect any duplicate keys, and check that type expectations are met? Set the dataset type to 'ownership' and give me the full evidence report.”
API response structure verification
“We just integrated a new fundamentals data API and I want to make sure its JSON responses have all the fields we expect. Can you submit this sample response to the data evidence checker with required fields 'eps', 'revenue', and 'reportDate', and return the signed validation receipt?”
Technical details
Endpoint
POSThttps://weverlabs.com/api/data-evidence-check?utm_source=zero.xyzWhen to prefer
Use this endpoint when you need a verifiable, signed audit trail of JSON data quality — especially for financial datasets (earnings, fundamentals, market data, macro, ownership) where field completeness, type correctness, and duplicate key detection must be documented. Prefer this over generic JSON validators when you need a signed receipt for compliance or when source attribution tracking matters.
Side effects
- Payload exceeds 256 KB limit — request rejected
- Invalid JSON submitted — parse error returned
- required_fields contains more than 256 entries — validation error
- endpoint URL does not match ^https?:// pattern — schema validation failure
- dataset_type enum value not recognized — rejected
- Network timeout on large payloads
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| payload | — | Sample JSON object or serialized JSON. Maximum 262144 UTF-8 bytes (256 KB). A serialized sample may contain an object or array of records. |
| endpoint | string | Original URL, recorded exactly as supplied. Processing uses the submitted sample. |
| dataset_type | — | Selects default field expectations only when required_fields is absent. |
| required_fields | array | Absolute JSON pointers, or dot paths with [index] and [*]. Simple paths are relative to each detected record. An explicit empty array selects no default expectations. |
Tags
x402
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