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Course Grade Imports — CSV Trimmed Typed Conversion
x402
Course Grade Imports — CSV Trimmed Typed Conversion 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 and normalizes a CSV table of course grade import data (up to 1000 rows), trimming whitespace and converting cell types, with configurable delimiters, value bounds, and allowed category lists.
Price / call$0.01
Success—
StatusUnknown
How this service works
Course grade imports — Trimmed typed conversion: Trimmed typed conversion 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 trimmed typed conversion report.
Output
Returns a trimmed typed conversion report for the submitted CSV, including parsed and type-converted rows (up to 1000), with validation outcomes indicating which rows/cells pass or fail based on configured min/max values, max cell length, and allowed category constraints. Quoted cells are supported; no external data enrichment is applied.
Example use cases
LMS grade import validation
“I have a CSV export from our learning management system with columns result_id, graded_on, course_id, earned_points, and possible_points. Can you validate and type-convert it, keeping only rows where course_id is either group-a or group-b, and earned_points are between 0 and 1000?”
Detecting malformed grade records
“Before I import these grades into our database, can you run a trimmed typed conversion on this CSV to flag any cells that exceed 200 characters or contain values outside the expected 0–500 range? The file uses semicolon delimiters.”
Quoted cell grade normalization
“I've got a tab-delimited grades CSV with some quoted cells and I need to normalize it — trim whitespace, convert types, and validate that all course_id values are in the allowed list: intro-math, adv-english, and basic-science.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-bx-csv-grades-normalise?utm_source=zero.xyzWhen to prefer
Use this endpoint when you need to validate and normalize a structured CSV of course grade records with configurable type conversion, value bounds checking, and category whitelisting — especially for LMS grade import pipelines. Prefer this over generic CSV parsers when you need education-domain presets (result_id, graded_on, course_id, earned_points, possible_points columns) and typed conversion in a single operation without external data enrichment.
Side effects
- CSV exceeds 100,000 character limit — request rejected
- More than 1000 rows submitted — only first 1000 processed or error returned
- Invalid delimiter character (not comma, semicolon, or tab) — schema validation error
- Cell value exceeds max_cell_length limit — validation failure flagged
- Numeric values outside specified minimum/maximum bounds — validation failure flagged
- Category value not in allowed_categories list — flagged as invalid
- Malformed CSV structure (unclosed quotes, mismatched columns) — parse error
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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