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Job Execution Imports — Header Contract Check
x402
Job Execution Imports — Header Contract Check is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-19).
Validates the header contract (column names and structure) of a CSV file containing job execution import data, checking up to 1000 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Job execution imports — Header contract check: Header contract check for Job execution 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 header contract check report.
Output
Returns a header contract check report indicating whether the CSV's declared column headers conform to the expected schema, highlighting any mismatches, unexpected or missing columns, and any constraint violations such as invalid categories or out-of-range values, for up to 1000 rows.
Example use cases
Pre-import job data validation
“Before I load this job execution file into the system, can you validate the CSV header contract? It has columns job_id, executed_on, worker_id, elapsed_seconds, and processed_rows, comma-delimited, with allowed categories group-a and group-b.”
Pipeline data quality gate
“I need to check whether the CSV my ETL pipeline produced for job imports has the correct headers and structure — it uses a comma delimiter and should only contain worker categories like group-a and group-b. Can you run a header contract check on it?”
Catch schema drift in job reports
“Our job execution export script may have changed the column order — can you audit the headers in this CSV to make sure they still match the declared contract? The file is comma-separated and max cell length should be 1000 characters.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-bx-csv-jobs-schema?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need a fast, lightweight check that a job execution CSV file's header structure and column declarations conform to an expected contract before ingesting or processing the data. It is purpose-built for job execution import schemas (job_id, worker_id, elapsed_seconds, etc.) and supports category allow-listing and numeric range constraints. Prefer this over generic CSV validators when your use case is specifically job execution import data and you need a low-cost ($0.01 USDC) schema audit with quoted cell support.
Side effects
- CSV exceeds 100,000 character limit — request rejected
- CSV is empty or missing headers — validation error returned
- Invalid delimiter specified — must be comma, semicolon, or tab
- Cell length exceeds max_cell_length threshold — flagged in report
- Malformed CSV (unclosed quotes, inconsistent columns) — parse error
- Allowed categories list exceeds 100 items — request rejected
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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