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Render Jobs Equal-Width Histogram and Missing-Value Fill
x402
Render Jobs Equal-Width Histogram and Missing-Value Fill 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 an equal-width histogram and fills missing values (zero/mean/median) for render_seconds or sample_count fields across up to 200 render job records.
Price / call$0.01
Success—
StatusUnknown
How this service works
Render jobs — Equal-width histogram + Explicit missing-value fill: Equal-width histogram + Explicit missing-value fill 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) an equal-width histogram with bin boundaries and row counts per bin for the chosen numeric field, and (2) the dataset with missing values explicitly filled using the selected method (zero, mean, or median). Both reports share local analytical engines and cover up to 200 rows.
Example use cases
Render time distribution for studio pipeline
“I have 80 render job records with render_seconds values, some of them null — fill the nulls with the mean and show me a histogram with 8 equal-width bins so I can see how render times are distributed.”
Sample count outlier exploration
“Can you take my 150 render job rows and compute an equal-width histogram for sample_count using 15 bins? Fill any missing sample_count values with zero first.”
Asset group render benchmarking
“I want to understand the spread of render durations across my asset groups — here are 60 render job rows, fill missing render_seconds with median and bucket everything into 5 equal-width bins.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-creative-02-175?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need both a binned frequency distribution and missing-value imputation for render job metrics (render_seconds, sample_count) in a single low-cost call. It is purpose-built for creative pipeline analytics with named asset groups and dated records, and is ideal when you want to preprocess nulls and immediately inspect the resulting distribution without standing up your own analytics stack.
Side effects
- Fewer than 1 row submitted returns a validation error
- More than 200 rows submitted exceeds the maxItems limit
- Invalid fill method string outside zero/mean/median enum causes schema rejection
- Non-numeric values in render_seconds or sample_count fields fail type validation
- Bins value outside 1–30 range returns a parameter bounds error
- Malformed date strings not matching YYYY-MM-DD pattern fail pattern validation
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| bins | integer | |
| rows | array | |
| field | string | |
| method | string |
Tags
x402
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