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Null Coverage Analytics: Adjacent Row Changes + Equal-Width Histogram
x402
Null Coverage Analytics: Adjacent Row Changes + Equal-Width Histogram 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).
Computes adjacent row changes and an equal-width histogram for null coverage data (missing_values, total_values) across up to 200 supplied rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Null coverage — Adjacent row changes + Equal-width histogram: Adjacent row changes + Equal-width histogram 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 analytical reports: (1) an adjacent row changes report showing deltas between consecutive rows for the selected field, and (2) an equal-width histogram with the specified number of bins summarizing the distribution of values across all supplied rows. Both reports are computed locally from the supplied data with no external lookups.
Example use cases
Data quality drift detection
“I have 120 rows of daily null coverage data with missing_values and total_values per dataset group. Can you compute the adjacent row changes and a 5-bin histogram on missing_values so I can see where data quality is degrading?”
Histogram binning for completeness audit
“Run an equal-width histogram with 15 bins on the total_values field across my 80-row null coverage dataset — I want to understand the distribution of record counts across groups.”
Identifying anomalous null spikes
“I need to spot sudden jumps in missing_values across consecutive rows in my 200-row dataset. Can you produce the adjacent row changes report and a 10-bin histogram on missing_values to flag any outliers?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-03-156?utm_source=zero.xyzWhen to prefer
Use this endpoint when you have up to 200 rows of null coverage data and need both a sequential delta analysis (adjacent row changes) and a histogram distribution in a single call. Ideal for data quality monitoring pipelines where you want two complementary views — temporal change and overall distribution — of missing or total value counts without any external data dependencies.
Side effects
- Rows array exceeds 200 items — request rejected
- Missing required fields (row_id, missing_values, total_values) in any row — validation error
- bins value outside 1–30 range — rejected
- Invalid date format (not YYYY-MM-DD) — row validation failure
- Field enum value other than 'missing_values' or 'total_values' — rejected
- Payment of 0.01 USDC not completed — 402 response
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| bins | integer | |
| rows | array | |
| field | string |
Tags
x402
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