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Writing Assignment Workload — String Normalisation + Duplicate Key Report
x402
Writing Assignment Workload — String Normalisation + Duplicate Key Report is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-25).
Runs string normalisation and duplicate key detection on up to 200 writing assignment workload records (assigned_words, available_hours), returning two independent analytical reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Writing assignment workload — String normalisation + Duplicate key report: String normalisation + Duplicate key report for supplied writing assignment workload records (assigned_words, available_hours). Up to 200 rows; 2 independent reports using shared local analytical engines. No live lookup, prediction, professional assessment or external action. 0.01 USDC includes 2 supplied-data reports for up to 200 rows.
Output
Returns two independent analytical reports: (1) a string normalisation report showing standardised/cleaned values for string fields (row_id, document_group, date), and (2) a duplicate key report identifying rows with repeated key combinations across the supplied dataset of up to 200 records.
Example use cases
Cleaning assignment tracker export
“I exported 150 rows from our writing assignment tracker with columns row_id, document_group, date, assigned_words, and available_hours — can you normalise all the string fields and tell me if there are any duplicate keys in there?”
Auditing workload data before import
“Before I import these 80 writing assignment workload records into our system, can you run a duplicate key check and string normalisation pass on them? Each row has a row_id, document_group, date, assigned_words, and available_hours.”
Detecting duplicate assignments in curriculum data
“We have a curriculum dataset of writing assignments — about 60 rows each with a row_id, document_group, date, assigned_words count, and available_hours — can you check for duplicate keys and normalise the string fields so we can trust the data?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-writing-22-021?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need both string normalisation and duplicate key detection on writing assignment workload data in a single call at minimal cost ($0.01 USDC for both reports). It is ideal for data quality checks on assignment datasets up to 200 rows without requiring any external lookups or live data sources.
Side effects
- More than 200 rows submitted — request rejected with validation error
- Missing required fields (row_id, date, assigned_words, available_hours) — row-level validation error
- Date field not matching YYYY-MM-DD pattern — schema validation failure
- Numeric fields outside allowed range (±1,000,000,000,000) — validation error
- Empty rows array — minimum items constraint violation
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array |
Tags
x402
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