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Null Coverage Duplicate Key Report and Missing Value Fill
x402
Null Coverage Duplicate Key Report and 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 2026-10-16).
Generates two local analytical reports for null coverage data: a duplicate row_id detection report and an explicit missing-value fill (zero, mean, or median) for up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Null coverage — Duplicate key report + Explicit missing-value fill: Duplicate key report + Explicit missing-value fill 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) a duplicate key report listing any repeated row_id values in the submitted rows, and (2) an explicit missing-value fill report where nulls in the specified field (missing_values or total_values) are replaced using the chosen method (zero, mean, or median). No external lookups or predictions are performed.
Example use cases
Data pipeline null audit
“I've got 150 rows of dataset coverage records with row IDs, groups, dates, missing_values, and total_values — run a duplicate row_id check on them and fill any null missing_values with the median.”
Zero-fill missing totals for reporting
“My null coverage export has some null entries in the total_values column across about 80 rows — detect any duplicate row IDs and fill those nulls with zero so I can pass it downstream.”
Mean imputation before model training
“Before I feed my coverage data into a model, I need to check for duplicate row IDs and replace any null missing_values with the column mean — can you run both reports on my 120-row dataset?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-03-070?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need both duplicate key detection and missing-value imputation together on null coverage data (missing_values/total_values fields) in a single cheap call ($0.01 USDC). Ideal for small-to-medium data quality workflows (up to 200 rows) that don't require live data lookups, ML predictions, or external enrichment — purely local analytical computation.
Side effects
- Exceeding 200 rows causes rejection — keep input under the maxItems limit
- Missing required fields (row_id, date, missing_values, total_values) will cause validation errors
- Invalid date format (not YYYY-MM-DD) will fail schema pattern validation
- Providing an unsupported fill method outside zero/mean/median will be rejected
- Null or missing row_id values will fail minLength:1 validation
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| method | string |
Tags
x402
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