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Null Coverage Analytics: Exact Row Deduplication + Base-100 Series
x402
Null Coverage Analytics: Exact Row Deduplication + 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 2026-10-14).
Analyzes supplied null coverage records (missing_values, total_values) by performing exact row deduplication and generating a base-100 indexed time series report.
Price / call$0.01
Success—
StatusUnknown
How this service works
Null coverage — Exact row deduplication + Base-100 series: Exact row deduplication + 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 independent analytical reports: (1) an exact row deduplication report identifying and removing duplicate rows from the supplied dataset, and (2) a base-100 indexed time series for the selected field (missing_values or total_values), normalized relative to the specified base_index row. Both reports are computed locally on the supplied data with no external lookups.
Example use cases
Data pipeline quality audit
“I have a dataset of 120 records from three groups logged daily in October 2026, each with missing_values and total_values counts. Can you deduplicate exact duplicate rows and give me a base-100 series for missing_values starting from index 0 so I can see how null coverage has trended relative to the first row?”
Comparing null rates across dataset groups
“Run a null coverage analysis on these records — I want to deduplicate any exact duplicates and then index total_values to base 100 starting at row 5. My data has groups like 'finance' and 'ops' with dates in 2025 and around 80 rows total.”
Normalizing missing value series for a report
“I need to produce a clean base-100 indexed series for missing_values across my 50-row dataset so I can compare null coverage trends between two dataset groups. Please also remove any exactly duplicated rows before generating the report.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-03-047?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have up to 200 rows of null coverage data (missing_values, total_values per date and dataset group) and need both exact deduplication and a base-100 indexed series in a single low-cost call ($0.01 USDC). It is purely analytical — no live data fetching, predictions, or external actions — making it ideal for offline data quality workflows where you supply the data yourself.
Side effects
- Empty or malformed rows array returns a validation error
- date field not matching YYYY-MM-DD pattern causes schema rejection
- More than 200 rows submitted exceeds the maxItems limit and is rejected
- missing required fields (row_id, dataset_group, date, missing_values, total_values) in any row causes error
- base_index pointing to a row that doesn't exist after deduplication may produce an undefined base reference
- Payment failure (non-402-compliant client) results in access denied
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| base_index | integer |
Tags
x402
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