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Field Survey Coverage Analyzer — Category Frequencies & IQR Outlier Flags
x402
Field Survey Coverage Analyzer — Category Frequencies & IQR Outlier Flags 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).
Computes category-level frequency distributions and IQR-based outlier flags 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 — Category frequencies + IQR outlier flags: Category frequencies + IQR outlier flags 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) category frequency counts grouped by station_group for the selected field, and (2) IQR-based outlier flags per row identifying which records fall outside the interquartile range. Both reports are computed locally from the supplied rows with no external data lookups.
Example use cases
Ecological survey quality check
“I have 150 ecological field survey records with station groups and surveyed area in m2 — can you compute the category frequencies and flag any IQR outliers in the surveyed_m2 column so I can spot measurement anomalies before I submit my report?”
Target coverage gap detection
“Can you run the IQR outlier analysis and category frequency breakdown on my target_m2 values across different station groups? I want to see which groups are behaving unusually compared to the rest.”
Multi-site survey audit
“I've got survey coverage data from multiple monitoring sites with dates ranging from 2026-01-01 to 2026-12-31 across about 80 rows — please give me the frequency distribution by station group and flag any outliers in surveyed_m2 using IQR.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-weather-22-107?utm_source=zero.xyzWhen to prefer
Use this endpoint when you have raw field survey coverage records (up to 200 rows) and need both a categorical frequency summary and IQR-based statistical outlier detection in a single call without any external data dependencies. Prefer this over general-purpose analytics tools when your data specifically involves surveyed_m2 and target_m2 measurements grouped by station and date, and you need two complementary reports (frequency + outlier flags) for a flat per-call fee.
Side effects
- Rows array exceeds 200 items — request rejected
- Missing required fields (row_id, station_group, date, surveyed_m2, target_m2) in any row — validation error
- Date field does not match YYYY-MM-DD pattern — schema validation failure
- Numeric values outside allowed range (-1e12 to 1e12) — rejected
- Empty rows array — minimum 1 item required
- Invalid field enum value (not surveyed_m2 or target_m2) — schema error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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