Table Extraction — 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).
Sorts table extraction records numerically by row order and fills missing values in extracted_rows or expected_rows using zero, mean, or median imputation, producing 2 analytical reports for up to 200 rows.
Table extraction — Numeric row ordering + Explicit missing-value fill: Numeric row ordering + Explicit missing-value fill for supplied table extraction records (extracted_rows, expected_rows). 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.
Returns 2 analytical reports covering the submitted records (up to 200 rows) after applying numeric row ordering and explicit missing-value fill (zero, mean, or median) to the specified field (extracted_rows or expected_rows). Reports summarize ordered row sequences and imputed values based on the chosen method, using local analytical engines with no external lookups.
POSThttps://market.datapackvibe.com/x402/assistant-ib26-web-10-124?utm_source=zero.xyzChoose this endpoint when you need to programmatically sort table extraction audit records by numeric row order AND impute missing values in a single pass, producing two structured analytical reports. It is ideal for ETL auditing, scraping QA, and data pipeline validation workflows where you have up to 200 rows of extracted vs expected row count data with nulls. Prefer this over generic stats endpoints when you specifically need combined numeric ordering plus explicit missing-value fill with configurable imputation strategy.
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| method | string |
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