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Render Jobs Base-100 Series + Keyed Dataset Comparison
x402
Render Jobs Base-100 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 Base-100 indexed time series and a keyed dataset comparison for render job records (render_seconds, sample_count) across up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Render jobs — Base-100 series + Keyed dataset comparison: Base-100 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 Base-100 indexed time series normalizing the selected field (render_seconds or sample_count) so the earliest or reference point equals 100, and (2) a keyed dataset comparison showing row-by-row or group-level differences between the primary and secondary datasets, including delta and relative change metrics. Up to 200 rows processed with no external lookups.
Example use cases
Benchmark current sprint render performance
“I have this week's render job rows with render_seconds and sample_count for our main asset groups, plus last sprint's data as a baseline. Run a base-100 series and keyed comparison on render_seconds so I can see which asset groups have regressed.”
Track render time trends across two studios
“Compare these two sets of render job records — one from Studio A and one from Studio B — using a base-100 index on render_seconds and a keyed dataset comparison, so I can see which studio's times are trending higher relative to the shared baseline.”
Audit sample count drift between pipeline versions
“I've got render job data from our old pipeline and our new pipeline, both with sample_count values. Run the base-100 series plus keyed dataset comparison on sample_count across both datasets so I can spot where the new pipeline deviates most.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-creative-02-168?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have structured render job records and need both a normalized time-series index (Base-100) and a side-by-side keyed comparison between two datasets in a single API call. It is ideal for creative pipeline analytics, render farm benchmarking, and sprint-over-sprint performance reviews where you supply all data locally and need no external data enrichment or predictions. Prefer it over single-report endpoints when you need both normalization and comparison simultaneously at low cost.
Side effects
- Missing required fields (row_id, date, render_seconds, sample_count) cause validation errors
- More than 200 rows in either dataset triggers a payload rejection
- Dates not matching YYYY-MM-DD pattern fail schema validation
- Null values in the selected field may produce incomplete index calculations
- Mismatched row_ids between primary and comparison dataset result in unmatched keyed comparisons
- Empty rows array returns an error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| other | array | |
| base_index | integer |
Tags
x402
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