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Camera Coverage Analytics — Numeric Distribution & Missing-Value Fill
x402
Camera Coverage Analytics — Numeric Distribution & 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).
Computes numeric distribution statistics and fills missing values for camera coverage records (shot_count, coverage_seconds) across up to 200 rows, returning two independent analytical reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Camera coverage — Numeric distribution + Explicit missing-value fill: Numeric distribution + Explicit missing-value fill for supplied camera coverage records (shot_count, coverage_seconds). 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 independent analytical reports: (1) a numeric distribution report covering statistics such as min, max, mean, median, standard deviation, and frequency distribution for the specified field (shot_count or coverage_seconds); and (2) a missing-value fill report showing which rows had null values and what replacement values were applied using the chosen method (zero, mean, or median). Both reports are computed locally with no external lookups.
Example use cases
Impute missing shot counts for dailies
“We've got 50 rows of daily camera coverage data and some shot_count entries are null — can you fill those missing values using the median and also show me the full distribution of shot_count across all records?”
Coverage seconds distribution for asset audit
“I need to understand the spread of coverage_seconds across our asset groups — run a numeric distribution analysis on this dataset of 80 camera coverage rows and fill any missing coverage_seconds values with zero so nothing's excluded.”
Data quality check before editing pipeline
“Before we hand off to the editing team, can you analyze the shot_count distribution and use mean imputation to fill any gaps in shot_count across our 120 coverage records grouped by asset group and date?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-creative-12-085?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have camera coverage tabular data (shot_count, coverage_seconds) needing both distribution statistics and missing-value imputation in a single call. It is ideal for pre-production data cleaning, editorial pipeline preparation, or audit reporting where you want two complementary reports (distribution + fill) without any external API calls, predictions, or live lookups. Best for batches up to 200 rows at a low flat cost.
Side effects
- Rows exceed 200-item limit — request rejected
- Invalid date format (not YYYY-MM-DD) causes validation error
- shot_count or coverage_seconds outside allowed numeric range causes schema rejection
- Unrecognized fill method enum value returns error
- Empty rows array rejected (minItems: 1)
- Missing required fields (row_id, asset_group, date) cause row-level validation failure
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| method | string |
Tags
x402
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