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Null Coverage Analytics: Category Frequencies + Base-100 Series
x402
Null Coverage Analytics: Category Frequencies + Base-100 Series is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-16).
Analyzes null coverage records (missing_values, total_values) to produce category frequency distributions and a base-100 indexed time series for up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Null coverage — Category frequencies + Base-100 series: Category frequencies + Base-100 series 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) category frequencies showing the distribution of values across dataset_group categories, and (2) a base-100 indexed time series for the selected numeric field (missing_values or total_values), anchored to the specified base_index row. Covers up to 200 input rows with no external lookups.
Example use cases
Audit null rates by dataset group
“I have 50 rows of null coverage records across three dataset groups with dates and missing/total value counts. Can you run category frequency and base-100 series reports on my missing_values field, starting the index at row 0?”
Track data completeness over time
“I want to see how missing_values have trended relative to a baseline across my dataset groups — here are 120 rows with dates from January through April. Run a base-100 series anchored to the first row and include category frequencies for total_values.”
Compare null coverage across ETL pipeline stages
“My ETL pipeline produces null coverage records for three stages labeled 'raw', 'cleaned', and 'validated'. I have 80 rows with missing_values and total_values. Can you give me the category frequency breakdown and a base-100 series using missing_values so I can see which stage has the worst coverage?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-03-105?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have structured null coverage records with missing_values and total_values fields and need both a categorical frequency breakdown and a normalized trend index in a single call. Ideal for data quality audits, ETL monitoring, and completeness reporting where no external data lookup or prediction is needed — all computation is local and deterministic.
Side effects
- Missing required fields (row_id, dataset_group, date, missing_values, total_values) returns validation error
- More than 200 rows submitted exceeds the maxItems limit and is rejected
- Invalid date format (not YYYY-MM-DD) causes schema validation failure
- base_index out of range (>=200 or <0) triggers a parameter error
- Null values in both missing_values and total_values may produce incomplete series output
- Payment of 0.01 USDC not received results in 402 Payment Required response
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| base_index | integer |
Tags
x402
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