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Building Footprint Observations — Duplicate Key Report + Numeric Row Ordering
x402
Building Footprint Observations — Duplicate Key Report + Numeric Row Ordering is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-25).
Analyzes up to 200 building footprint observation records to produce a duplicate key report and numeric row ordering for either footprint_m2 or height_m fields.
Price / call$0.01
Success—
StatusUnknown
How this service works
Building footprint observations — Duplicate key report + Numeric row ordering: Duplicate key report + Numeric row ordering 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 independent analytical reports: (1) a duplicate key report identifying any repeated row_id values across the supplied records, and (2) a numeric row ordering ranking rows by the selected field (footprint_m2 or height_m). Both reports are computed locally with no external lookups.
Example use cases
Audit building survey for duplicate entries
“I have a batch of building footprint survey records with row IDs, station groups, dates, footprint sizes in m2, and heights in m — can you run a duplicate key check on them and also rank the rows numerically by footprint_m2? Here are the 50 rows I collected this week.”
Rank construction site heights numerically
“I need to order these 120 building observation records by height_m and also flag any duplicate row IDs — can you run both reports on this dataset for me? The records each have a row_id, station_group, date, footprint_m2, and height_m.”
Pre-merge data quality check on footprint data
“Before I merge two building datasets, can you check this batch of up to 200 footprint observation rows for duplicate keys and give me a numeric row ordering by footprint_m2 so I can spot conflicts?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-weather-16-058?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need lightweight, local data-quality analysis on building footprint observation records specifically — no external data sources, predictions, or professional assessments are involved. Best suited for pre-processing or validation steps before merging or storing building survey datasets of up to 200 rows. The fixed $0.01 USDC price covers both reports simultaneously, making it cost-efficient when you need both duplicate detection and numeric ordering in one call.
Side effects
- Exceeding 200 rows returns an error — batch must be split
- Missing required fields (row_id, station_group, date, footprint_m2, height_m) causes validation failure
- Invalid date format (not YYYY-MM-DD) triggers schema rejection
- Invalid field enum value (not footprint_m2 or height_m) causes request failure
- Empty rows array rejected (minItems: 1)
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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