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Job Execution Imports — Record Key Uniqueness Validator
x402
Job Execution Imports — Record Key Uniqueness Validator 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 that all record keys (primary key column) in a CSV of job execution import data are unique, reporting any duplicates across up to 1000 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Job execution imports — Record key uniqueness: Record key uniqueness 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 record key uniqueness report.
Output
Returns a structured record key uniqueness report indicating whether all key values in the designated column are unique, identifying any duplicate keys found, and summarizing overall pass/fail status for the CSV dataset (up to 1000 rows).
Example use cases
Pre-import deduplication check for ETL pipeline
“Before we load this job execution CSV into the database, can you check that every job_id is unique? The file uses comma delimiters and has columns job_id, executed_on, worker_id, elapsed_seconds, processed_rows.”
Data quality audit on scheduled job logs
“I've exported 800 rows of scheduled job run logs as a CSV with job_id as the primary key. Can you validate that there are no duplicate job_id values and give me a uniqueness report?”
Validate worker group categories and key uniqueness
“Check this job execution import CSV for duplicate record keys, and make sure the worker_id values only include group-a or group-b. The CSV is comma-delimited with a header row.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-bx-csv-jobs-keys?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need a fast, inexpensive ($0.01 USDC) check specifically for record key uniqueness in job execution import CSV files. It is purpose-built for this narrow validation task with support for quoted cells and configurable delimiters, making it ideal for pre-import data quality gates in ETL workflows rather than general-purpose CSV schema validators.
Side effects
- CSV exceeds 1000 rows — only up to 1000 rows are validated
- CSV string exceeds 100,000 character limit — request rejected
- Malformed CSV with unclosed quotes or inconsistent column counts — parse error returned
- Delimiter mismatch between declared and actual CSV format — incorrect parsing
- Cell exceeds max_cell_length limit — validation may fail or truncate
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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