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Elevation Samples — Record Quality Audit + Exact Row Deduplication + Duplicate Key Report
x402
Elevation Samples — Record Quality Audit + Exact Row Deduplication + Duplicate Key Report 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 on supplied elevation sample records: a record quality audit, exact row deduplication, and a duplicate key report — all without any external lookups.
Price / call$0.01
Success—
StatusUnknown
How this service works
Elevation samples — Record quality audit + Exact row deduplication + Duplicate key report: Record quality audit + Exact row deduplication + Duplicate key report for supplied elevation samples records (elevation_m, sample_weight). 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
Three independent analytical reports returned together: (1) a record quality audit flagging missing, null, or out-of-range values across elevation_m and sample_weight fields; (2) an exact row deduplication report identifying and removing fully identical rows; (3) a duplicate key report listing row_ids or key combinations that appear more than once. All analysis is performed locally on the submitted data — no external data sources are used.
Example use cases
Pre-analysis data quality check
“I'm about to analyze elevation readings from a field survey. Can you audit these records for quality issues, remove exact duplicate rows, and flag any duplicate row IDs? Each record has a row_id, station_group, date, elevation_m, and sample_weight — I have 120 rows total.”
Station group deduplication audit
“I received elevation sample exports from multiple station groups and I'm worried there are duplicate entries. Can you run exact row deduplication and a duplicate key report on my 80 records — they include row_id, station_group, date, elevation_m, and sample_weight fields?”
Data cleaning pipeline for elevation measurements
“Before I load these elevation samples into our database, can you check them for record quality issues and exact duplicates? I have 45 rows with row_id, station_group, date, elevation_m, and sample_weight and need all three reports: quality audit, deduplication, and duplicate key summary.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-weather-13-209?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need three simultaneous analytical reports — quality audit, deduplication, and duplicate key detection — on a batch of up to 200 elevation sample records in a single cheap call ($0.01 USDC). It is ideal for data cleaning pipelines, pre-ingestion validation, or field survey data QA where elevation_m and sample_weight are the key numeric fields. Prefer this over general-purpose data tools when you want all three reports bundled without external lookups or side effects.
Side effects
- Submitting more than 200 rows returns a validation error
- Missing required fields (row_id, station_group, date, elevation_m, sample_weight) causes row-level rejection
- Malformed date strings not matching YYYY-MM-DD pattern are flagged or rejected
- Empty row arrays are rejected at input validation
- Payment failure (x402) prevents the call from being processed
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array |
Tags
x402
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