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Field Survey Coverage — Numeric Row Ordering + Base-100 Series
x402
Field Survey Coverage — Numeric Row Ordering + 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 2026-10-26).
Computes numeric row ordering and a base-100 index series for field survey coverage records (surveyed_m2 and target_m2), returning two analytical reports for up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Field survey coverage — Numeric row ordering + Base-100 series: Numeric row ordering + Base-100 series 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 numeric row ordering that ranks each input row by the selected field value, and (2) a base-100 index series normalizing all values relative to the specified base index row. Both reports cover all submitted rows (up to 200) and are computed locally without external lookups.
Example use cases
Ranking survey stations by coverage area
“I have survey records for 6 field stations from last month — each with a date, station group, surveyed square meters, and target square meters. Can you rank them numerically by surveyed_m2 and also give me a base-100 index starting from the first row?”
Monitoring survey progress across groups
“We have two station groups, Alpha and Beta, with daily survey coverage readings over the past two weeks. Can you compute the numeric row ordering and a base-100 series for our surveyed_m2 values so I can see how progress has scaled relative to day one?”
Normalizing target vs. surveyed area for reporting
“I need to report on how our field survey coverage compares across 50 survey zones. Can you take my rows with surveyed_m2 and target_m2 measurements and generate a base-100 index series anchored at row 0, plus a numeric row ordering — using target_m2 as the field?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-weather-22-117?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have field survey coverage records (surveyed_m2, target_m2) and need both a numeric ranking of rows and a base-100 normalized index series in a single call. It is ideal for environmental surveys, ecological monitoring, or land coverage audits where you want to compare relative progress across stations or dates without any external data lookup. Prefer this over general statistics APIs when you specifically need the combination of row ordering plus base-indexed normalization on survey area measurements.
Side effects
- More than 200 rows submitted — request rejected due to maxItems constraint
- Missing required fields (row_id, station_group, date, surveyed_m2, target_m2) — validation error
- Invalid date format (must match YYYY-MM-DD pattern) — schema validation failure
- base_index value out of range (must be 0–199) — parameter error
- All surveyed_m2 or target_m2 values are null — may produce degenerate or empty series
- Payment not fulfilled — x402 payment required before response is returned
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| base_index | integer |
Tags
x402
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