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Building Footprint Observations — Exact Row Deduplication + Secondary-Measure Weighted Mean
x402
Building Footprint Observations — Exact Row Deduplication + Secondary-Measure Weighted Mean 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 exactly and computes a secondary-measure weighted mean (footprint_m2 or height_m) across up to 200 supplied records, returning 2 analytical reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Building footprint observations — Exact row deduplication + Secondary-measure weighted mean: Exact row deduplication + Secondary-measure weighted mean 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 2 analytical reports: (1) an exact-row-deduplicated version of the supplied building footprint observation records, and (2) a secondary-measure weighted mean computed over the deduplicated dataset for the selected field (footprint_m2 or height_m), all processed locally with no external lookups.
Example use cases
Urban survey data deduplication
“I have 120 building footprint observation rows from our urban survey — can you deduplicate them exactly and give me a weighted mean of footprint_m2 using height_m as the weight? Fields are row_id, station_group, date, footprint_m2, and height_m.”
Construction site height analysis
“We collected building height and footprint measurements across multiple station groups. Can you remove duplicate rows and compute a secondary-measure weighted mean for height_m across our 80 observation records?”
Real estate portfolio measurement audit
“I need to clean up our building measurement dataset — about 150 rows with footprint and height data — by deduplicating exact rows and then computing the weighted mean of footprint_m2. Can you run those two reports?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-weather-16-051?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have up to 200 building footprint observation records and need both exact deduplication and a secondary-measure weighted mean in a single call, without requiring live data lookups, predictions, or external integrations. It is well-suited for offline or batch analytical passes on construction, urban, or real estate measurement datasets where data quality cleaning and aggregation are the primary goals.
Side effects
- More than 200 rows submitted — request will be rejected at the maxItems limit
- Missing required fields (row_id, station_group, date, footprint_m2, height_m) on any row will cause validation failure
- Invalid date format (not YYYY-MM-DD) will fail pattern validation
- Null values for both footprint_m2 and height_m may result in undefined weighted mean
- Payment of 0.01 USDC not included or failing x402 protocol will block execution
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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