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Course Grade Imports — Required Cell Check
x402
Course Grade 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 2026-10-19).
Validates a CSV of course grade records to confirm all required cells are present and non-empty, up to 1000 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Course grade imports — Required cell check: Required cell check for Course grade 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 indicating which rows and columns have missing or empty required cells in the submitted course grade CSV, along with a summary of pass/fail status for the declared table contract.
Example use cases
Pre-import grade data validation
“Before I upload this batch of student grades to the LMS, can you run a required cell check on my CSV to make sure none of the mandatory columns like result_id, graded_on, course_id, earned_points, or possible_points are empty? It's comma-delimited and has about 300 rows.”
Automated grade pipeline quality gate
“I'm building an automated grade import pipeline — can you validate each incoming CSV for required cell completeness, using a comma delimiter and max cell length of 500, and return a report so I can reject bad files before they hit the database?”
Category-restricted grade file audit
“Can you check this course grade import file and confirm all required cells are filled in? Only allow course_id values from group-a and group-b, use comma as the delimiter, and tell me which rows are missing mandatory data.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-bx-csv-grades-required?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you specifically need to verify that all required cells in a course grade CSV are populated before importing into a learning management system or grade database. It is optimized for the course-grade schema (result_id, graded_on, course_id, earned_points, possible_points) and supports category allowlists and numeric range constraints. Prefer this over generic CSV validators when the domain is course grades and you need a structured required-cell report rather than type conversion or statistical analysis.
Side effects
- CSV exceeds 1000 rows — request rejected or truncated
- CSV string empty or missing — validation error returned
- Delimiter mismatch causes incorrect parsing and false positives
- Cell content exceeds max_cell_length — flagged or rejected
- allowed_categories list mismatch causes category validation failures
- Malformed CSV (unmatched quotes, bad escaping) causes parse errors
- Payment of 0.01 USDC not provided — 402 Payment Required response
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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