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Elevation Samples — Record Quality Audit + Adjacent Row Changes
x402
Elevation Samples — Record Quality Audit + Adjacent Row Changes 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 two local analytical reports on supplied elevation sample records: a record quality audit and an adjacent row change analysis, for up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Elevation samples — Record quality audit + Adjacent row changes: Record quality audit + Adjacent row changes for supplied elevation samples records (elevation_m, sample_weight). 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 independent analytical reports: (1) a record quality audit flagging issues such as nulls, out-of-range values, or malformed entries per row, and (2) an adjacent row changes report showing differences between consecutive rows for the selected field (elevation_m or sample_weight). All analysis is performed locally without external lookups or predictions.
Example use cases
Survey data pipeline quality gate
“I have 50 elevation readings from our field stations — please run the record quality audit and adjacent row changes report on them analyzing the elevation_m field so I can catch any bad records before we load them into the database.”
Sample weight consistency check
“Can you audit these 120 elevation sample records for quality issues and also show me the adjacent row changes in sample_weight across the dataset? I want to see if any consecutive rows have suspicious jumps.”
Station group anomaly detection
“Run both the record quality audit and adjacent row change analysis on these elevation samples from group-a and group-b stations, focusing on the elevation_m field — I need to spot any data entry errors or abrupt changes between consecutive rows.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-weather-13-011?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need two complementary data quality reports — a record quality audit AND adjacent row change analysis — on elevation sample data (with sample weights) in a single $0.01 call. Prefer it over single-report alternatives when you want both quality flagging and sequential change detection together. Best suited for batch validation of up to 200 rows of elevation survey data before pipeline ingestion or when debugging anomalies in sequential elevation readings.
Side effects
- More than 200 rows submitted — request rejected with validation error
- Missing required fields (row_id, station_group, date, elevation_m, sample_weight) — row-level validation failure
- Invalid date format (not YYYY-MM-DD) — schema validation error
- Field selector not one of 'elevation_m' or 'sample_weight' — enum validation error
- Empty rows array — minItems constraint violation
- Payment not included or insufficient — 402 Payment Required
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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