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Catalog Completeness — Numeric Row Ordering + Explicit Missing-Value Fill
x402
Catalog Completeness — Numeric Row Ordering + Explicit 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 2026-10-26).
Orders catalog completeness rows numerically and fills missing populated_fields or required_fields values using zero, mean, or median imputation, producing two analytical reports for up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Catalog completeness — Numeric row ordering + Explicit missing-value fill: Numeric row ordering + Explicit missing-value fill for supplied catalog completeness records (populated_fields, required_fields). 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 on the submitted catalog completeness records: one showing rows ordered numerically and one showing the dataset after explicit missing-value imputation (zero, mean, or median) on the selected field (populated_fields or required_fields). Up to 200 rows are processed per call.
Example use cases
Imputing missing fields for store audit
“I have catalog completeness data for 80 retail stores across two groups — some rows have null populated_fields values. Can you sort all rows numerically and fill those missing populated_fields using the median, then give me two completeness reports?”
Zero-filling required_fields for monthly review
“I need to prepare my catalog completeness dataset for a monthly review. There are about 120 rows with some null required_fields entries — please order them numerically and fill the missing required_fields with zero so I can see the two cleaned reports.”
Mean imputation for cross-group completeness analysis
“Can you take my 200 catalog completeness records across store groups A and B, sort them by row number, and fill any missing populated_fields using the mean? I want two analytical reports on the result.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-retail-10-124?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have a batch of up to 200 retail catalog completeness records with numeric populated_fields or required_fields and need both sorted row ordering and missing-value imputation in a single call. It is ideal for offline data preparation and quality checks rather than real-time lookups or predictive analytics. Prefer this over generic spreadsheet tools when you want a structured two-report output and programmatic access with deterministic local analytical engines.
Side effects
- Exceeding 200 rows returns a validation error
- Missing required fields (row_id, date, populated_fields, required_fields) cause row rejection
- Invalid date format (not YYYY-MM-DD) triggers a pattern validation error
- Invalid method enum (not zero/mean/median) causes a schema error
- Invalid field enum (not populated_fields/required_fields) causes a schema error
- Payment failure or insufficient USDC balance prevents processing
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| method | string |
Tags
x402
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