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Coordinate Quality Checks — Record Audit, Deduplication & Numeric Ordering
x402
Coordinate Quality Checks — Record Audit, Deduplication & Numeric Ordering 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).
Runs three local analytical reports (record quality audit, exact row deduplication, numeric row ordering) on coordinate quality check data (checked_points, flagged_points) for up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Coordinate quality checks — Record quality audit + Exact row deduplication + Numeric row ordering: Record quality audit + Exact row deduplication + Numeric row ordering for supplied coordinate quality checks records (checked_points, flagged_points). Up to 200 rows; 3 independent reports using shared local analytical engines. No live lookup, prediction, professional assessment or external action. 0.01 USDC includes 3 supplied-data reports for up to 200 rows.
Output
Returns three independent analytical reports: (1) a record quality audit flagging missing, null, or malformed field values; (2) an exact row deduplication report identifying repeated rows; and (3) a numeric row ordering report ranking rows by the selected field (checked_points or flagged_points). All analysis is performed locally on the supplied data with no external lookups.
Example use cases
Station group duplicate detection
“I have about 80 rows of coordinate quality check records across several station groups with checked_points and flagged_points values — can you find any exact duplicate rows and give me a deduplication report?”
Flagged points numeric ranking
“Take my coordinate inspection records for the past month — each row has a station_group, date, checked_points, and flagged_points — and order them numerically by flagged_points so I can see which entries have the highest flag counts.”
Data integrity audit before reporting
“Before I submit my quarterly coordinate quality report, can you run a full record quality audit on my 150 rows of station check data to flag any missing fields, malformed dates, or null values in checked_points or flagged_points?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-weather-23-213?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need a bundled set of three data quality operations — auditing, deduplication, and numeric ordering — on coordinate monitoring records in a single $0.01 call. Ideal for small-to-medium datasets (up to 200 rows) where you want offline, reproducible analysis without external data lookups or live APIs. Best suited for station-based coordinate quality workflows involving checked_points and flagged_points metrics.
Side effects
- Exceeding 200 rows returns a validation error
- Missing required fields (row_id, date, station_group, checked_points, flagged_points) cause schema rejection
- Invalid date format (not YYYY-MM-DD) triggers pattern validation failure
- Numeric values outside ±1,000,000,000,000 are rejected
- Empty rows array returns a minItems validation error
- Payment failure via x402 protocol prevents execution
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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