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Building Footprint Observations — Exact Row Deduplication + Two-Measure Correlation
x402
Building Footprint Observations — Exact Row Deduplication + Two-Measure Correlation 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).
Deduplicates building footprint observation rows and computes correlation between footprint_m2 and height_m for up to 200 supplied records.
Price / call$0.01
Success—
StatusUnknown
How this service works
Building footprint observations — Exact row deduplication + Two-measure correlation: Exact row deduplication + Two-measure correlation for supplied building footprint observations records (footprint_m2, height_m). 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) an exact row deduplication result identifying and removing fully duplicate records from the supplied dataset, and (2) a two-measure correlation analysis quantifying the statistical relationship between footprint_m2 and height_m across the supplied building observations.
Example use cases
Building survey data deduplication
“I have a CSV of 150 building survey records with footprint areas and heights — some rows look like duplicates. Can you remove the exact duplicate rows and tell me how correlated the footprint size is with the building height?”
Urban planning dataset quality check
“We collected building dimension observations across several station groups and dates. Can you run exact row deduplication and check the correlation between footprint_m2 and height_m on these records?”
Construction dataset correlation analysis
“Here are 80 building footprint observations tagged by date and group. Please deduplicate them exactly and give me a correlation report between the footprint area in square meters and the height in meters.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-weather-16-050?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have up to 200 building footprint observation records and need both exact duplicate row removal and a statistical correlation between footprint area and building height in a single low-cost call. It is best suited for offline/supplied-data analysis without need for live lookups, external enrichment, or predictions.
Side effects
- Input array exceeds 200 rows — request rejected
- Missing required fields (row_id, date, footprint_m2, height_m, station_group) cause validation errors
- Date values not matching YYYY-MM-DD pattern are rejected
- All rows are identical resulting in trivial deduplication output
- Null values in footprint_m2 or height_m may reduce correlation sample size
- Payment not received or insufficient USDC causes 402 error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array |
Tags
x402
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