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Render Jobs Category Frequencies and Keyed Dataset Comparison
x402
Render Jobs Category Frequencies and Keyed Dataset Comparison 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).
Analyzes render job records to produce category frequency distributions and a keyed comparison between two supplied datasets (up to 200 rows each).
Price / call$0.01
Success—
StatusUnknown
How this service works
Render jobs — Category frequencies + Keyed dataset comparison: Category frequencies + Keyed dataset comparison 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 category frequencies report showing how often each asset_group (and potentially other categorical fields) appears across the supplied rows, and (2) a keyed dataset comparison report that aligns records from both the primary and secondary datasets by row_id and highlights differences in render_seconds and sample_count values. No external data is fetched; analysis is performed locally on the supplied data.
Example use cases
Weekly render pipeline comparison
“Compare these two batches of render job records from our animation pipeline — the first is from week 1 and the second from week 2. Both have row IDs, asset groups, dates, render_seconds, and sample_count. I want a category frequency breakdown and a side-by-side keyed comparison to see what shifted.”
Asset group frequency audit
“I've got up to 200 render job rows tagged with asset groups, dates, render seconds, and sample counts. Can you give me a frequency report showing how often each asset group appears, and compare it against a reference dataset I'll also supply?”
Render time discrepancy detection
“Here are two exports of render job logs — same row IDs but possibly different render_seconds and sample_count values. Run a keyed dataset comparison and a category frequency analysis so I can spot any discrepancies between the two exports.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-creative-02-111?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have render job records with asset group and timing metrics and need both a categorical frequency breakdown and a keyed row-by-row comparison between two datasets in a single low-cost call. It is ideal for pipeline QA, comparing render job exports across time periods, or auditing discrepancies between two data pulls — all without requiring an external database or live lookup.
Side effects
- Missing required fields (row_id, asset_group, date, render_seconds, sample_count) cause validation errors
- Supplying more than 200 rows in either dataset exceeds the row limit
- Date strings not matching YYYY-MM-DD pattern are rejected
- Empty rows array causes a minItems validation failure
- Mismatched or missing row_id keys between datasets may produce incomplete comparison results
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| other | array |
Tags
x402
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