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Building Footprint Observations — Numeric Interval Filter + Keyed Dataset Comparison
x402
Building Footprint Observations — Numeric Interval Filter + Keyed Dataset Comparison is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-22).
Applies a numeric interval filter and keyed dataset comparison to two supplied sets of building footprint observation records (footprint_m2, height_m), returning 2 analytical reports for up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Building footprint observations — Numeric interval filter + Keyed dataset comparison: Numeric interval filter + Keyed dataset comparison 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) a numeric interval filter report showing which records from the primary dataset fall within specified value ranges for the chosen field (footprint_m2 or height_m), and (2) a keyed dataset comparison report highlighting differences between the primary and secondary datasets matched by row_id. Both reports are computed locally from supplied data with no external lookups.
Example use cases
Compare building footprint datasets across survey periods
“I have two batches of building footprint survey records from October 2026 — the original readings and a revised set — each with row_id, station_group, date, footprint_m2, and height_m. Can you run a keyed dataset comparison and numeric interval filter on footprint_m2 to show me where the two datasets differ and which records fall within specific size ranges?”
Filter buildings by height within operational range
“I've got a list of building observations with height_m values and I need to filter them by a numeric interval on height_m, plus compare them against a second dataset of the same buildings from a different source. Can you run both reports on height_m for up to 200 rows so I can see which buildings meet the height criteria and how the two datasets diverge?”
Audit two building footprint record batches for discrepancies
“We collected building footprint measurements from two different teams — both datasets have row_id, station_group, date, footprint_m2, and height_m fields for the same buildings. Please do a keyed comparison and numeric interval filter on footprint_m2 across both batches so I can audit where the teams recorded different values.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-weather-16-134?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have two structured building footprint observation datasets and need both a numeric range filter and a keyed cross-dataset comparison in a single call. It is ideal for auditing measurement discrepancies between survey teams, comparing building records across time periods, or validating that footprint_m2 or height_m values fall within acceptable bounds — all without sending data to external services, since all analytics run on locally supplied data.
Side effects
- Empty rows array or missing required row fields (row_id, station_group, date, footprint_m2, height_m) causes validation error
- Supplying more than 200 rows exceeds the maximum and will be rejected
- Invalid date format (not YYYY-MM-DD) causes schema validation failure
- Null numeric values for the selected field may affect interval filter accuracy
- Missing or mismatched row_ids between primary and comparison datasets reduces keyed comparison coverage
- Payment failure or insufficient USDC balance prevents request processing
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| other | array | |
| maximum | number | |
| minimum | number |
Tags
x402
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