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Building Footprint Observations — String Normalisation & Exact Row Deduplication
x402
Building Footprint Observations — String Normalisation & Exact Row Deduplication 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).
Cleans and deduplicates up to 200 building footprint observation records (footprint_m2, height_m) by normalising strings and removing exact duplicate rows, returning 2 analytical reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Building footprint observations — String normalisation + Exact row deduplication: String normalisation + Exact row deduplication 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
Two analytical reports covering: (1) string-normalised building footprint observation records with standardised text fields, and (2) an exact row deduplication report identifying and removing fully duplicate rows from the supplied dataset of up to 200 rows.
Example use cases
Pre-analysis building dataset cleanup
“I have 120 building footprint observation records with footprint_m2 and height_m values that need string normalisation and exact duplicate removal before I run any analysis — can you clean them and give me 2 reports?”
Construction survey data deduplication
“We collected building height and footprint measurements across several station groups and dates, but there may be duplicate entries. Can you deduplicate the rows exactly and normalise the strings across all records?”
Real estate data quality audit
“Before we load our building footprint observations into the database, can you run string normalisation and exact row deduplication on these 80 records — each has a row_id, date, station_group, footprint_m2, and height_m — and give us the 2 standard reports?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-weather-16-020?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have building footprint observation data (footprint_m2 and height_m fields) that needs lightweight, local data cleaning — specifically string normalisation and exact duplicate row removal — without any external lookups, predictions, or professional assessments. Ideal for pre-processing pipelines before loading building data into databases or analytics systems. Best suited for batches of up to 200 rows at very low cost ($0.01 USDC for 2 reports).
Side effects
- Exceeding 200 rows returns a validation error
- Missing required fields (row_id, date, footprint_m2, height_m, station_group) causes rejection
- Invalid date format (not YYYY-MM-DD) triggers a schema validation error
- Null or out-of-range numeric values may produce incomplete reports
- Payment failure via x402 protocol prevents processing
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array |
Tags
x402
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