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Coordinate Quality Checks — Exact Row Deduplication + Explicit Missing-Value Fill
x402
Coordinate Quality Checks — Exact Row Deduplication + 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 2026-11-02).
Deduplicates rows and fills missing values for coordinate quality check records (checked_points, flagged_points), producing 2 analytical reports for up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Coordinate quality checks — Exact row deduplication + Explicit missing-value fill: Exact row deduplication + Explicit missing-value fill for supplied coordinate quality checks records (checked_points, flagged_points). 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
Two independent analytical reports covering: (1) exact row deduplication results for the supplied coordinate quality check records, and (2) explicit missing-value fill results for the specified field (checked_points or flagged_points) using the chosen method (zero, mean, or median). Reports are generated from the supplied data using local analytical engines with no external lookups.
Example use cases
Clean weather station QC batch
“I have 150 rows of coordinate quality check data for multiple station groups across Q3, with some duplicate rows and nulls in the checked_points column — can you deduplicate the exact duplicates and fill those missing checked_points values using the mean, then give me the two cleaned reports?”
Median imputation for flagged points
“My coordinate QC dataset has some missing flagged_points values scattered across different station groups and dates. Please deduplicate any identical rows and fill in those missing flagged_points using median imputation — I need both analytical reports back.”
Zero-fill missing QC metrics
“Run a deduplication pass and zero-fill on my coordinate quality check records — I've got about 80 rows with row IDs, station groups, dates, and some null checked_points entries. Use zero as the fill method and return both reports.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-weather-23-054?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need to clean a batch of coordinate quality check records by removing exact duplicate rows and imputing missing numeric values (checked_points or flagged_points) with a chosen strategy (zero, mean, or median), and want two ready-to-use reports in a single low-cost call. Prefer it over general-purpose data cleaning tools when your data specifically follows the station_group/date/checked_points/flagged_points schema and you want a combined deduplication + imputation output without external dependencies.
Side effects
- Input array exceeds 200 rows — request rejected
- Missing required fields (row_id, date, station_group) in one or more rows — validation error
- Invalid date format (not YYYY-MM-DD) — schema validation failure
- Unsupported fill method or field enum value — rejected
- Empty rows array — minimum 1 item required
- Payment not provided or insufficient USDC — 402 response
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| method | string |
Tags
x402
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