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Property Listing Imports — Numeric Type Check
x402
Property Listing Imports — Numeric Type Check is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-19).
Validates that numeric columns in a property listing CSV contain only valid numeric values within specified bounds, returning a type-check report for up to 1000 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Property listing imports — Numeric type check: Numeric type check for Property listing imports. Validate a declared CSV table contract, up to 1000 rows. Quoted cells supported; no external enrichment. Specialised preset in a shared 50-profile, 20-operation engine. 0.01 USDC includes one CSV numeric type check report.
Output
A numeric type check report covering up to 1000 rows of the submitted property listing CSV, identifying which rows and cells contain invalid (non-numeric) values in declared numeric columns, along with bounds violations and category mismatches where applicable.
Example use cases
Pre-import data quality gate
“Before I upload this property listings CSV to the portal, can you run a numeric type check on it to make sure the asking_price and floor_area_sqm columns only contain valid numbers? The delimiter is a comma and prices should be between 50000 and 10000000.”
Detecting bad rows from a data feed
“I just received a CSV feed of property listings from an external partner and I need to know which rows have invalid numeric values — can you validate the numeric fields and tell me which records have type errors?”
Validating regional listing exports
“I have a semicolon-delimited CSV export of property listings for regions group-a and group-b — can you check that all the numeric columns like asking price and floor area are properly typed, with no nulls or text values sneaking in?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-bx-csv-properties-types?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need a fast, cheap ($0.01 USDC) automated check that numeric columns in a property listing CSV are correctly typed before an import or ETL pipeline step. It is purpose-built for the property listings domain with support for category allowlists and configurable numeric bounds, making it more precise than a generic CSV validator for this specific use case.
Side effects
- CSV exceeds 100,000 character limit — request rejected
- Rows exceed 1000-row limit — only first 1000 processed or error returned
- Invalid delimiter specified — parsing fails
- Numeric values outside specified min/max bounds flagged as violations
- Malformed CSV (unclosed quotes, inconsistent columns) — parse error returned
- Empty CSV input — validation error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| csv | string | |
| maximum | number | |
| minimum | number | |
| delimiter | string | |
| max_cell_length | integer | |
| allowed_categories | array |
Tags
x402
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