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Render Jobs — Record Quality Audit + String Normalisation + Numeric Row Ordering
x402
Render Jobs — Record Quality Audit + String Normalisation + Numeric Row Ordering 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).
Audits data quality, normalises strings, and orders rows numerically for render job records (render_seconds, sample_count) — up to 200 rows, 3 independent reports per call.
Price / call$0.01
Success—
StatusUnknown
How this service works
Render jobs — Record quality audit + String normalisation + Numeric row ordering: Record quality audit + String normalisation + Numeric row ordering 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
Returns three independent analytical reports: (1) a record quality audit highlighting missing values, out-of-range numbers, or malformed dates; (2) a string normalisation report for fields like asset_group; and (3) a numeric row ordering report ranking rows by the chosen field (render_seconds or sample_count). All processing is local with no external lookups.
Example use cases
QA pipeline for render farm output
“I have 50 render job records with row_id, asset_group, date, render_seconds, and sample_count — can you run a full quality audit, normalise the string fields, and order them by render_seconds so I can spot issues?”
Cleaning sample count data before reporting
“Before I generate my weekly render report, please audit these 120 render job rows for data quality problems, normalise the asset_group strings, and sort everything by sample_count.”
Validating asset group records post-import
“We just imported render job data from three different asset groups into our system — can you check these 80 rows for quality issues, clean up the string formatting, and give me a numeric ordering by render_seconds?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-creative-02-196?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need offline, local analytical processing of render job tabular data and want three combined reports (quality audit, string normalisation, numeric ordering) in a single low-cost call. It is ideal for media production pipelines needing pre-flight data QA before downstream reporting, and when no live lookups or external predictions are needed.
Side effects
- More than 200 rows submitted — request will be rejected or truncated
- Missing required fields (row_id, date, render_seconds, sample_count) — row validation errors
- Malformed date strings not matching YYYY-MM-DD pattern — validation failure
- Numeric values outside allowed range (-1e12 to 1e12) — schema rejection
- Invalid field selector (not 'render_seconds' or 'sample_count') — enum validation error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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