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Application Processing Imports — Required Cell Check
x402
Application Processing 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 2026-10-15).
Validates that all required cells in an application processing CSV are populated, checking up to 1000 rows for missing or empty mandatory fields.
Price / call$0.01
Success—
StatusUnknown
How this service works
Application processing imports — Required cell check: Required cell 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 required cell check report.
Output
A required cell check report identifying which rows and columns contain missing or empty required cells in the submitted CSV, covering up to 1000 rows with details sufficient to locate and correct each gap before import.
Example use cases
Pre-import completeness check for hiring data
“Before I upload this batch of application records to our ATS, can you validate that all required fields are filled in? Here's the CSV with application_id, received_on, role_id, stage_duration_days, and assessment_score columns — use a comma delimiter and flag any rows with missing required cells.”
Automated QA gate for application pipeline
“I'm running a nightly pipeline that ingests application CSVs — can you check this file for any missing required cells so I can reject incomplete records before they hit the database? The CSV uses comma delimiters and the allowed categories for role_id are group-a and group-b.”
Validate assessment data before analyst review
“My team exported assessment scores and stage durations for all Q1 applicants into a CSV — can you run a required cell check on it to make sure no rows are missing critical fields before we hand it off to the analyst team? Delimiter is a semicolon and max cell length is 500.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-bx-csv-applications-required?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need to verify that all mandatory fields are populated in an application processing CSV before import, particularly when working with HR or recruitment pipelines that use a defined schema with columns like application_id, received_on, role_id, stage_duration_days, and assessment_score. It is best suited for pre-import data quality gates on files up to 1000 rows where quoted-cell CSVs need validation without any external data enrichment.
Side effects
- CSV exceeds 100,000 character limit — request rejected
- CSV contains more than 1000 rows — rows beyond limit may not be checked
- Delimiter mismatch causes incorrect column parsing — output may reflect wrong structure
- Cell content exceeds max_cell_length — cell flagged or truncated
- Invalid allowed_categories values cause unexpected category validation failures
- Malformed CSV (unbalanced quotes) may cause parse errors
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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