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Property Listing Imports — Blank Row Report
x402
Property Listing Imports — Blank Row Report is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-18).
Validates a CSV file of property listing data and reports which rows are blank or empty
Price / call$0.01
Success—
StatusUnknown
How this service works
Property listing imports — Blank row report: Blank row report 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 blank row report report.
Output
Returns a report identifying which rows in the submitted property listings CSV are blank or empty, allowing the caller to detect data gaps before importing. The response includes row indices or positions of blank entries and a summary of the validation outcome, covering up to 1000 rows.
Example use cases
Pre-import data quality check
“Before I upload my property listings to the database, can you scan this CSV for any completely blank rows? It's comma-separated with columns listing_id, listed_on, region_id, asking_price, floor_area_sqm — the valid regions are group-a and group-b.”
Automated pipeline validation step
“My ETL pipeline just pulled a fresh property listings export. Run a blank row report on the CSV so I know if any empty rows snuck in before we proceed — delimiter is a comma, max 1000 rows.”
Vendor data quality audit
“A vendor sent me a property listing CSV and I suspect there are empty rows mixed in. Can you validate it and give me a blank row report? It's comma-delimited with asking_price values between 0 and 10000000.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-bx-csv-properties-empty-rows?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need a fast, affordable ($0.01 USDC) automated check specifically for blank rows in property listing CSV files before importing them into a database or pipeline. It is purpose-built for property listing schemas (listing_id, listed_on, region_id, asking_price, floor_area_sqm) and supports configurable delimiters, value ranges, and category whitelists — making it ideal for structured real estate data pipelines rather than generic CSV validators.
Side effects
- CSV exceeds 100,000 character limit — request rejected
- CSV is malformed and cannot be parsed — error returned
- Delimiter mismatch causes incorrect parsing — unexpected blank row counts
- Rows exceed max_cell_length setting — cells may be truncated or flagged
- allowed_categories values don't match CSV content — validation failures
- Empty CSV string submitted — immediate 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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