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Render Jobs — Record Quality Audit + String Normalisation + Base-100 Series
x402
Render Jobs — Record Quality Audit + String Normalisation + Base-100 Series is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-17).
Runs three analytical reports on render job records: a data quality audit, string normalisation, and a base-100 indexed series for render_seconds or sample_count fields.
Price / call$0.01
Success—
StatusUnknown
How this service works
Render jobs — Record quality audit + String normalisation + Base-100 series: Record quality audit + String normalisation + Base-100 series 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: (1) a record quality audit flagging data issues in the supplied render job rows, (2) a string normalisation report cleaning asset_group and other string fields, and (3) a base-100 indexed series for the chosen numeric field (render_seconds or sample_count), anchored at the specified base_index row. All computed locally with no external lookups. Up to 200 rows processed per call.
Example use cases
Render pipeline data quality check
“I've got a batch of render job records with asset groups and render times — can you audit them for data quality issues, normalise any inconsistent strings, and build a base-100 series on the render_seconds field starting from the first row?”
Sample count trend indexing for studio report
“We need a base-100 indexed series on sample_count across our render jobs from October 2026, plus a quality audit and string normalisation pass — we have about 50 rows across two asset groups.”
Asset group normalisation before pipeline merge
“Before we merge our render job logs, can you run string normalisation and a quality audit on our records? We also want a base-100 series on render_seconds anchored to row index 0 so we can compare performance across groups.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-creative-02-201?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have up to 200 render job records (with render_seconds and sample_count fields) and need three analytical outputs in a single cheap call: a data quality audit, string normalisation, and a base-100 indexed numeric series. It is ideal for pre-processing render pipeline data before merging or reporting, and is cost-effective at $0.01 USDC for all three reports. It performs no live lookups or external calls, so it is suitable for offline or batch analytical workflows.
Side effects
- Fewer than 1 row supplied — minItems validation error
- More than 200 rows supplied — maxItems validation error
- Invalid date format (not YYYY-MM-DD) — pattern validation error
- row_id missing or empty — required field error
- Field value not in enum ['render_seconds','sample_count'] — enum validation error
- base_index out of range 0–199 — range validation error
- Numeric fields outside allowed range — minimum/maximum validation error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| base_index | integer |
Tags
x402
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