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Writing Assignment Workload — Numeric Row Ordering + Secondary-Measure Weighted Mean
x402
Writing Assignment Workload — Numeric Row Ordering + Secondary-Measure Weighted Mean is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-11-02).
Computes numeric row ordering and secondary-measure weighted mean for writing assignment workload records (assigned_words, available_hours) across up to 200 rows in two bundled reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Writing assignment workload — Numeric row ordering + Secondary-measure weighted mean: Numeric row ordering + Secondary-measure weighted mean 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 analytical reports for the submitted writing assignment workload rows: (1) a numeric row ordering ranking each row by the selected field (assigned_words or available_hours), and (2) a secondary-measure weighted mean computed across the dataset. Both reports are generated locally from supplied data with no external lookups.
Example use cases
Rank student essays by word count
“I've got 8 student writing assignments and need to rank them by assigned_words and get the weighted mean of available_hours — here are the rows: row-1 on 2026-11-01 for group-a with 500 words and 2 hours, row-2 on 2026-11-02 for group-b with 1200 words and 4 hours, row-3 on 2026-11-03 for group-a with 800 words and 3 hours, row-4 on 2026-11-04 for group-b with 300 words and 1 hour, row-5 on 2026-11-05 for group-a with 950 words and 5 hours, row-6 on 2026-11-06 for group-b with 450 words and 2 hours, row-7 on 2026-11-07 for group-a with 700 words and 3 hours, row-8 on 2026-11-08 for group-b with 1100 words and 6 hours. Use assigned_words as the field.”
Workload planning across document groups
“Can you order these writing workload records by available_hours and compute the secondary-measure weighted mean? I have 5 rows: row-a on 2026-09-10 for group-draft with 600 words and 2.5 hours, row-b on 2026-09-11 for group-final with 1500 words and 6 hours, row-c on 2026-09-12 for group-draft with 900 words and 3 hours, row-d on 2026-09-13 for group-final with 400 words and 1.5 hours, row-e on 2026-09-14 for group-draft with 1100 words and 4 hours. Field should be available_hours.”
Prioritize assignments by deadline pressure
“I need a numeric ranking of these 6 writing tasks by assigned_words plus a weighted mean of available_hours: task-1 on 2026-12-01 for group-urgent with 2000 words and 3 hours, task-2 on 2026-12-02 for group-normal with 800 words and 5 hours, task-3 on 2026-12-03 for group-urgent with 1500 words and 2 hours, task-4 on 2026-12-04 for group-normal with 500 words and 8 hours, task-5 on 2026-12-05 for group-urgent with 3000 words and 1 hour, task-6 on 2026-12-06 for group-normal with 1200 words and 4 hours. Use assigned_words as the field.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-writing-22-121?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need to rank writing assignment workload rows numerically and simultaneously compute a secondary-measure weighted mean from your own supplied data, without any external data lookup or prediction. Ideal for education analytics, workload balancing, or document pipeline management where you already have the records and need two bundled statistical reports at low cost ($0.01 USDC for both).
Side effects
- More than 200 rows submitted — request rejected
- Missing required fields (row_id, document_group, date, assigned_words, available_hours) — validation error
- Invalid date format (must be YYYY-MM-DD) — schema error
- Field value not in enum [assigned_words, available_hours] — validation error
- All numeric values null — weighted mean cannot be computed
- Malformed JSON body — parse error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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