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Application Processing Imports — Numeric Type Check
x402
Application Processing 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 2026-10-15).
Validates that all numeric columns in an application-processing CSV conform to declared type constraints (range, delimiter, cell length) and returns a report of any violations.
Price / call$0.01
Success—
StatusUnknown
How this service works
Application processing imports — Numeric type check: Numeric type 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 type check report.
Output
A structured numeric type check report indicating which cells or rows failed numeric validation, including details on out-of-range values, non-numeric content, or cells exceeding maximum length — up to 1000 rows analyzed per call.
Example use cases
Pre-import validation for recruitment data
“Before I upload this batch of application records to our ATS, can you check the CSV for numeric type errors? The delimiter is a comma, assessment scores should be between 1 and 10, and stage durations shouldn't exceed 90 days.”
QA check on exported applicant pipeline report
“I exported our applicant pipeline data as a CSV and I want to make sure all the numeric columns — like assessment_score and stage_duration_days — contain valid numbers with no text or blanks sneaking in. The file uses comma separators and scores range from 0 to 100.”
Automated data quality gate in hiring workflow
“As part of our hiring workflow, run a numeric type check on this application CSV before it moves to the next stage — delimiter is a tab, minimum allowed value is 0, maximum is 1000000, and flag anything that doesn't parse as a valid number.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-bx-csv-applications-types?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need a fast, lightweight numeric type validation pass on a CSV of application or HR records — especially when you want range checking (min/max bounds), category allow-listing, and cell-length enforcement in a single call without any external data enrichment. Ideal as a pre-import gate in automated hiring or data pipeline workflows handling up to 1000 rows per batch.
Side effects
- CSV exceeds 100,000 character limit — request rejected
- More than 1000 rows in the CSV — only first 1000 processed or error returned
- Invalid delimiter specified (must be comma, semicolon, or tab)
- Malformed CSV with unmatched quotes — parsing error returned
- min/max values outside the allowed range of ±1,000,000,000,000 — schema validation failure
- Empty CSV body — minLength constraint violated
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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