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Render Jobs Daily Sum Series & Keyed Dataset Comparison
x402
Render Jobs Daily Sum Series & 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).
Computes a daily sum time series and a keyed dataset comparison for render job metrics (render_seconds, sample_count) across up to 200 rows, returning two analytical reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Render jobs — Daily sum series + Keyed dataset comparison: Daily sum series + 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 daily sum time series showing the chosen metric (render_seconds or sample_count) aggregated by date, and (2) a keyed dataset comparison showing differences between the primary and secondary supplied datasets, keyed by row_id and asset_group. No external data is fetched; all analysis runs on the supplied rows only, up to 200 rows total.
Example use cases
Daily render time trend for a project
“Take these render job logs for our animation project — each row has a date, asset group, render_seconds, and sample_count — and give me a daily sum series of render_seconds so I can see which days had the heaviest rendering load.”
Comparing two render pipeline runs
“I have two exports from our render farm — one from last week's job run and one from this week's — both with the same row structure. Can you do a keyed dataset comparison on sample_count to see which asset groups changed between the two runs?”
QA check on asset group render volumes
“Here are my render job records for October with asset_group, date, render_seconds, and sample_count. Run both a daily sum series and a keyed comparison against our baseline dataset using render_seconds, and flag any big discrepancies.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-creative-02-144?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have render job telemetry data (render_seconds, sample_count) already in hand and need two offline analytical reports — a daily sum time series and a keyed comparison between two datasets — without any live data fetching, prediction, or external lookup. Ideal for creative/media production pipelines needing fast, low-cost ($0.01 USDC) batch analytics on up to 200 rows.
Side effects
- Missing required row fields (row_id, date, asset_group) returns a validation error
- Date strings not matching YYYY-MM-DD pattern are rejected
- Exceeding 200 rows in either dataset triggers a limit error
- Null values in render_seconds or sample_count may be excluded from sums
- Empty rows array returns an error (minItems: 1)
- Invalid field enum value (not render_seconds or sample_count) causes rejection
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| other | array |
Tags
x402
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