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Schema Conformity: Numeric Distribution + Missing-Value Fill
x402
Schema Conformity: Numeric Distribution + 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 2026-10-17).
Computes numeric distribution statistics and fills missing values for valid_records and checked_records schema conformity data across up to 200 rows, producing two analytical reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Schema conformity — Numeric distribution + Explicit missing-value fill: Numeric distribution + Explicit missing-value fill for supplied schema conformity records (valid_records, checked_records). 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) a numeric distribution summary of the selected field (valid_records or checked_records) across the supplied rows, including spread and descriptive statistics; and (2) a missing-value fill report where null entries in the selected field are replaced using the chosen method (zero, mean, or median), computed entirely from the supplied data with no external lookups.
Example use cases
Data quality audit across dataset groups
“I have 50 rows of schema conformity data with valid_records and checked_records tracked daily across two dataset groups. Can you run a numeric distribution analysis on valid_records and fill any missing values using median imputation so I can see the spread and gaps?”
Missing-value imputation for conformity pipeline
“My data pipeline has null values in checked_records for some dates in my schema conformity log. Run missing-value fill using zero imputation on the checked_records field across these 30 rows so I can continue downstream processing.”
Statistical summary for compliance reporting
“I need two reports on my schema conformity dataset — one showing the numeric distribution of valid_records and one filling missing entries using mean — so I can include them in my compliance summary. Here are 100 rows with dates from 2026-09-01 to 2026-12-10.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-02-085?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have schema conformity data with valid_records and checked_records fields and need both a numeric distribution analysis and missing-value imputation in a single low-cost call. It is well-suited for data quality pipelines where offline, self-contained statistical analysis suffices and no external data, predictions, or real-time lookups are needed. Prefer this over general analytics tools when you want a bundled two-report output (distribution + fill) for up to 200 rows at a fixed cost of $0.01 USDC.
Side effects
- Fewer than 1 row supplied — request rejected due to minItems constraint
- More than 200 rows submitted — exceeds maxItems limit
- Date values not in YYYY-MM-DD format — pattern validation failure
- row_id missing or empty — required field violation
- Numeric values outside ±1,000,000,000,000 range — schema rejection
- Invalid field enum value (not valid_records or checked_records) — validation error
- Invalid method enum value (not zero, mean, or median) — validation error
- Payment of 0.01 USDC not completed — x402 payment required response
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| method | string |
Tags
x402
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