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Property Listing Imports — Required Cell Check
x402
Property Listing Imports — Required Cell Check is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-14).
Validates that all required cells are present and non-empty in a CSV file of property listing data, supporting up to 1000 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Property listing imports — Required cell check: Required cell 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 required cell check report.
Output
A required cell check report indicating which rows and columns in the submitted property listing CSV are missing required values, covering up to 1000 rows with support for quoted cells and configurable delimiters.
Example use cases
Pre-import data quality gate
“Before I push this batch of 300 property listings into our database, can you validate the CSV to make sure every required cell like listing_id, region_id, asking_price, and floor_area_sqm is filled in? The file uses comma delimiters and I need a full report of any missing required values.”
Real estate data pipeline validation
“I'm building an automated pipeline for property listing imports — can you run a required cell check on this CSV data to flag any rows where a required column is empty or missing before the next processing step?”
Catch bad listing uploads from agents
“Our field agents are uploading property listing CSVs and some are coming in with blank required fields. Can you validate this CSV — comma-separated, up to 500 rows — and tell me which rows and columns are missing required values so I can send corrections back to the agents?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-bx-csv-properties-required?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you specifically need to verify that required cells are populated in a property listings CSV before importing into a system. It is purpose-built for the property listing domain with a preset schema profile, making it more reliable than a generic CSV validator for this use case. Prefer it over general-purpose data validation tools when dealing with real estate listing imports with fields like listing_id, listed_on, region_id, asking_price, and floor_area_sqm.
Side effects
- CSV exceeds 1000 rows — report may be truncated or rejected
- CSV string exceeds 100,000 character limit — request rejected
- Invalid delimiter specified — must be comma, semicolon, or tab
- Cell content exceeds max_cell_length — flagged or truncated
- Malformed CSV structure — parsing errors returned
- Category values not in allowed_categories list — validation failures
- Empty CSV body — error returned
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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