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Render Jobs — Record Quality Audit + String Normalisation + Adjacent Row Changes
x402
Render Jobs — Record Quality Audit + String Normalisation + Adjacent Row Changes is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-22).
Runs three local analytical reports (record quality audit, string normalisation, and adjacent row change detection) on up to 200 render job records containing render_seconds and sample_count fields.
Price / call$0.01
Success—
StatusUnknown
How this service works
Render jobs — Record quality audit + String normalisation + Adjacent row changes: Record quality audit + String normalisation + Adjacent row changes for supplied render jobs records (render_seconds, sample_count). Up to 200 rows; 3 independent reports using shared local analytical engines. No live lookup, prediction, professional assessment or external action. 0.01 USDC includes 3 supplied-data reports for up to 200 rows.
Output
Three independent analytical reports covering: (1) a record quality audit highlighting missing, null, or out-of-range values; (2) string normalisation findings for text fields like asset_group; and (3) a consecutive/adjacent row change report for the selected numeric field (render_seconds or sample_count). All analysis is performed locally on the supplied data with no external lookups.
Example use cases
Auditing render pipeline output quality
“I have a batch of 120 render job records with asset groups and dates — can you audit their data quality, normalize any string inconsistencies, and flag where render_seconds changed significantly between adjacent rows?”
Detecting sample count anomalies across frames
“Run the three-report analysis on my render job data focusing on the sample_count field — I want to catch any bad values, normalize asset group names, and see where sample counts jump between consecutive rows.”
Pre-submission data validation for render logs
“Before I submit these render logs, can you check record quality, normalize the strings, and show me adjacent row changes for render_seconds across all 80 rows in my asset group dataset?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-creative-02-200?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need a combined, cost-efficient three-in-one analytical pass over render job data (up to 200 rows) and want quality auditing, string normalisation, and adjacent row change detection in a single API call for $0.01 USDC. It is ideal when no external data lookup or prediction is needed — only local analysis of supplied render job records with render_seconds and sample_count metrics.
Side effects
- More than 200 rows submitted — exceeds max item limit
- Missing required fields (row_id, date, asset_group) cause validation rejection
- Date field not matching YYYY-MM-DD pattern results in schema error
- Numeric values outside ±1,000,000,000,000 range rejected
- Empty rows array (minItems:1 not met) returns error
- Invalid field enum value (not 'render_seconds' or 'sample_count') causes rejection
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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