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Application Processing Imports — CSV Numeric Range Check
x402
Application Processing Imports — CSV Numeric Range Check is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-16).
Validates that all numeric cells in an application processing CSV fall within a specified minimum/maximum range, returning a per-row range check report.
Price / call$0.01
Success—
StatusUnknown
How this service works
Application processing imports — Numeric range check: Numeric range check for Application processing 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 range check report.
Output
Returns a structured report indicating which rows and cells contain numeric values outside the specified minimum/maximum range, including cell-level detail for up to 1000 rows of the submitted CSV.
Example use cases
Validate applicant assessment scores
“I have a CSV of job application records with an assessment_score column. Can you verify that all scores are between 1 and 10, using a comma delimiter, and tell me which rows are out of range?”
Check stage duration bounds for HR import
“Before I import this applications CSV, I need to confirm that all stage_duration_days values are between 0 and 90 days. Can you run a numeric range check on it with comma as the separator?”
Audit incoming application data for compliance
“We received a batch of application processing records as a CSV and need to validate that no numeric field falls below -1000 or exceeds 1000000. Can you run the range check and give me a report of any violations?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-bx-csv-applications-ranges?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need a focused, low-cost numeric range validation on a CSV of application processing records — particularly when you want to catch out-of-bound values (e.g., scores, durations, IDs) before importing data into a downstream system. It supports quoted cells and configurable delimiters, making it suitable for real-world CSV exports. Prefer it over general-purpose validators when the data domain is application processing and the primary concern is numeric boundary compliance rather than type inference or schema detection.
Side effects
- CSV exceeds 100,000 character limit — request rejected
- Row count exceeds 1000 rows — validation may be truncated or rejected
- Invalid delimiter specified — only comma, semicolon, or tab supported
- Minimum value greater than maximum value — invalid range configuration
- Malformed CSV structure — unparseable rows may be skipped or flagged
- Cell exceeds max_cell_length — cell may be rejected or truncated
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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