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Null Coverage Analytics: Equal-Width Histogram + Keyed Dataset Comparison
x402
Null Coverage Analytics: Equal-Width Histogram + 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 2026-10-14).
Runs two local analytical reports on null coverage data — an equal-width histogram and a keyed dataset comparison — for up to 200 rows of missing/total value records.
Price / call$0.01
Success—
StatusUnknown
How this service works
Null coverage — Equal-width histogram + Keyed dataset comparison: Equal-width histogram + Keyed dataset comparison for supplied null coverage records (missing_values, total_values). 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) an equal-width histogram of the chosen field (missing_values or total_values) across the supplied rows, broken into up to 30 bins with bin boundaries and frequency counts; (2) a keyed dataset comparison between the primary rows and a second dataset, matching records by row_id and reporting per-key differences in the selected field.
Example use cases
Histogram of null rates across pipeline batches
“Build a 5-bin equal-width histogram of missing_values for these 80 pipeline batch records and also compare them row-by-row against our baseline export — I want both reports in one call.”
Data quality audit between two ETL snapshots
“I have two ETL snapshots, each with up to 120 rows including row_id, dataset_group, date, missing_values, and total_values. Can you run a histogram with 8 bins on the total_values field and also do a keyed comparison between the two snapshots to spot coverage differences?”
Comparing null coverage across dataset groups
“Here are 60 rows of null coverage data for two dataset groups — group-a and group-b — with missing_values and total_values per row. Give me a 6-bin histogram of missing_values and compare group-a rows to group-b rows by row_id.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-03-174?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need both a distribution view (histogram) and a direct row-keyed comparison of null coverage metrics in a single paid call. It is best suited for data quality workflows where you have two snapshots or exports of the same dataset and want to understand how missing values are distributed and how they differ between versions, without any external lookup or live data access.
Side effects
- More than 200 rows submitted — request rejected
- Missing required row fields (row_id, date, missing_values, total_values) — validation error
- bins parameter outside 1–30 range — rejected
- Date field not matching YYYY-MM-DD pattern — validation error
- All values null in selected field — histogram may be empty or degenerate
- Mismatched row_ids between datasets — comparison yields no matched keys
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| bins | integer | |
| rows | array | |
| field | string | |
| other | array |
Tags
x402
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