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Render Jobs Base-100 Series + Date by Category Pivot
x402
Render Jobs Base-100 Series + Date by Category Pivot 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).
Generates a Base-100 index series and a date-by-category pivot table from supplied render job records (render_seconds, sample_count) for up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Render jobs — Base-100 series + Date by category pivot: Base-100 series + Date by category pivot for supplied render jobs records (render_seconds, sample_count). Up to 200 rows; 2 independent reports using shared local analytical engines. No live lookup, prediction, professional assessment or external action. 0.01 USDC includes 2 supplied-data reports for up to 200 rows.
Output
Returns two analytical reports: (1) a Base-100 index series for the chosen field (render_seconds or sample_count), normalized relative to the specified base row index, and (2) a date-by-category pivot table grouping the same field by date and asset_group. Both reports are computed locally from the supplied row data, with no external lookups or predictions.
Example use cases
Benchmarking render times across asset groups
“I have render job logs for our animation pipeline — can you index the render_seconds to a base-100 series starting from the first row, and also pivot the data by date and asset group so I can see how each group's render time trends over time?”
Tracking sample count growth over a sprint
“We collected sample_count data across two asset groups over the past two weeks. Can you generate a base-100 index on sample_count starting at row 0 and create a date-by-category pivot so I can see which group scaled faster?”
Comparing rendering efficiency after a pipeline change
“After our render pipeline update, I want to compare performance — can you take these render job records and produce both a base-100 normalized series on render_seconds (baseline at row 0) and a pivot table breaking it down by asset group and date?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-creative-02-167?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have raw render job records with date, asset_group, render_seconds, and/or sample_count fields and need both a time-normalized Base-100 index series and a date-by-category pivot in a single call. Ideal for creative production analytics pipelines, render farm performance benchmarking, or sprint-over-sprint comparisons across asset groups. It is not appropriate for live render monitoring, predictive modeling, or datasets exceeding 200 rows.
Side effects
- Fewer than 1 row supplied — minimum 1 row required
- More than 200 rows supplied — maxItems limit exceeded, request rejected
- Invalid date format (not YYYY-MM-DD) — pattern validation failure
- base_index out of range (0–199) — validation error
- Null numeric values may affect index computation if base row has null render_seconds or sample_count
- Missing required fields (row_id, asset_group, date, render_seconds, sample_count) — schema validation error
- Payment of 0.01 USDC not completed — x402 payment required before processing
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| base_index | integer |
Tags
x402
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