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Elevation Samples — Duplicate Key Report + Base-100 Series
x402
Elevation Samples — Duplicate Key Report + Base-100 Series is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-31).
Analyzes up to 200 elevation sample records to produce a duplicate key report and a base-100 indexed series for a chosen numeric field.
Price / call$0.01
Success—
StatusUnknown
How this service works
Elevation samples — Duplicate key report + Base-100 series: Duplicate key report + Base-100 series 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 duplicate key report identifying which row_id values appear more than once in the supplied dataset, and (2) a base-100 series rebasing the chosen numeric field (elevation_m or sample_weight) relative to the row at the specified base_index, covering up to 200 rows of input data.
Example use cases
Survey data key deduplication check
“I collected elevation readings from 80 monitoring stations and I think some row IDs got entered twice — can you run a duplicate key report on this dataset and flag any repeated keys?”
Rebased elevation trend for reporting
“I need to index our elevation_m readings to 100 starting at the first sample so stakeholders can compare relative changes — can you generate a base-100 series from these elevation records?”
Sample weight index for weighted analysis
“Can you produce a base-100 series on sample_weight starting at index 5, and also check whether any of the 120 rows share duplicate row IDs, using this elevation sampling dataset?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-weather-13-063?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have tabular elevation or geospatial sample data and need both a duplicate key audit and a base-100 normalized series in a single low-cost call. It is ideal for data quality checks on survey or sensor datasets where key uniqueness and relative indexing are both required. It does not perform live lookups, predictions, or external data fetching — use it strictly for local analytical computation on your own supplied rows.
Side effects
- Fewer than 1 row supplied — validation error
- More than 200 rows supplied — rejected with max-items error
- Invalid date format (not YYYY-MM-DD) — schema validation failure
- base_index out of range (≥ number of rows) — index error
- Non-numeric values in elevation_m or sample_weight fields — type error
- Missing required fields (row_id, station_group, date) — schema rejection
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| base_index | integer |
Tags
x402
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