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Field Survey Coverage String Normalisation + Date by Category Pivot
x402
Field Survey Coverage String Normalisation + Date by Category Pivot is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-25).
Normalises station group strings and produces a date-by-category pivot table from field survey coverage records (surveyed_m2, target_m2) — two analytical reports for up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Field survey coverage — String normalisation + Date by category pivot: String normalisation + Date by category pivot for supplied field survey coverage records (surveyed_m2, target_m2). 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 analytical reports: (1) a string-normalised version of the station_group field across all submitted rows, and (2) a date-by-category pivot table aggregating the selected metric (surveyed_m2 or target_m2) across dates and station groups — all computed locally with no external lookups.
Example use cases
Environmental survey coverage audit
“I've got 150 rows of field survey records with station groups, dates, and surveyed_m2 values — some group names have inconsistent capitalisation. Can you normalise the strings and give me a pivot table showing surveyed_m2 by date and station group?”
Target vs surveyed area comparison pivot
“Here are 80 field survey records with row IDs, station groups, dates, and both target_m2 and surveyed_m2 columns — run the string normalisation and date-by-category pivot on the target_m2 field so I can see how targets break down across groups and dates.”
Monthly survey reporting for habitat monitoring
“I need two reports on my habitat survey data: normalise the station group labels and pivot the surveyed_m2 figures by date and category. I have 60 rows with dates in YYYY-MM-DD format and groups named things like 'north-zone' and 'south-zone'.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-weather-22-035?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have field survey coverage records with station groups and need both string normalisation of category labels and a date-by-category pivot in a single call. It is ideal for up to 200 rows of survey data where you need two bundled analytical outputs at low cost ($0.01 USDC), without requiring live data lookups or external integrations.
Side effects
- Rows exceeding 200 items will be rejected (maxItems constraint)
- Missing required fields (row_id, station_group, date, surveyed_m2, target_m2) will cause validation errors
- Dates not matching YYYY-MM-DD pattern will fail schema validation
- Numeric values outside ±1,000,000,000,000 range will be rejected
- Invalid field enum value (must be 'surveyed_m2' or 'target_m2') will cause an error
- Payment of 0.01 USDC must be included via x402 protocol or the request will be rejected
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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