# Writing Assignment Workload — String Normalisation + Trailing Mean Series

> Writing Assignment Workload — String Normalisation + Trailing Mean Series 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 string normalisation and a trailing mean series for writing assignment workload records (assigned_words, available_hours) across up to 200 rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-writing-22-028?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-11-02
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/writing-assignment-workload-string-normalisation-trailing-mean-series-74b68b85
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_sPuH-zdChUcoyPZTfFzMX

Status and success rate cover calls made through Zero and Zero's own probes. Third-party monitors may report differently.

## How to call it through Zero

Zero handles the 402 payment challenge and records the run. With the Zero CLI installed (`npm i -g @zeroxyz/cli`):

```sh
zero fetch --capability writing-assignment-workload-string-normalisation-trailing-mean-series-74b68b85 -d '<json body>'
```

Example prompt: Can you run string normalisation and a trailing mean series (window of 3) on my writing assignment workload data — I have rows with assigned_words and available_hours fields for the document group 'essay-batch-A' across dates in October 2026?

## When to prefer this

Choose this endpoint when you need both string normalisation and a rolling/trailing mean series computed together from writing assignment workload data (assigned_words, available_hours) in a single low-cost call, without requiring any external data lookup, live prediction, or professional assessment. Ideal for educators, academic workflow tools, or content planning agents processing up to 200 rows of assignment records.

## Known failure modes

- Input array exceeds 200 rows — request rejected
- Invalid date format (must match YYYY-MM-DD pattern) — validation error
- Missing required fields (row_id, document_group, date, assigned_words, available_hours) — schema error
- Window value outside allowed range (2–200) — parameter error
- Null-only numeric column produces undefined trailing mean — empty series result
- Payment not included or insufficient — x402 payment required response

## How this service works

Writing assignment workload — String normalisation + Trailing mean series: String normalisation + Trailing mean series 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

Two analytical reports: (1) a string normalisation report standardising text fields in the supplied writing assignment records, and (2) a trailing mean series computed over the chosen numeric field (assigned_words or available_hours) using the specified rolling window — all derived locally from the submitted data, up to 200 rows.

## Request schema (JSON Schema)

```json
{
 "type": "object",
 "properties": {
  "rows": {
   "type": "array",
   "items": {
    "type": "object",
    "required": [
     "row_id",
     "document_group",
     "date",
     "assigned_words",
     "available_hours"
    ],
    "properties": {
     "date": {
      "type": "string",
      "default": "",
      "pattern": "^\\d{4}-\\d{2}-\\d{2}$",
      "maxLength": 10
     },
     "row_id": {
      "type": "string",
      "default": "",
      "maxLength": 80,
      "minLength": 1
     },
     "assigned_words": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     },
     "document_group": {
      "type": "string",
      "default": "",
      "maxLength": 80
     },
     "available_hours": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     }
    },
    "additionalProperties": false
   },
   "default": [
    {
     "date": "2026-10-01",
     "row_id": "row-1",
     "assigned_words": 10,
     "document_group": "group-a",
     "available_hours": 1
    },
    {
     "date": "2026-10-02",
     "row_id": "row-2",
     "assigned_words": 20,
     "document_group": "group-b",
     "available_hours": 2
    },
    {
     "date": "2026-10-03",
     "row_id": "row-3",
     "assigned_words": 15,
     "document_group": "group-a",
     "available_hours": 3
    },
    {
     "date": "2026-10-04",
     "row_id": "row-4",
     "assigned_words": 30,
     "document_group": "group-b",
     "available_hours": 4
    }
   ],
   "maxItems": 200,
   "minItems": 1
  },
  "field": {
   "enum": [
    "assigned_words",
    "available_hours"
   ],
   "type": "string",
   "default": "assigned_words"
  },
  "window": {
   "type": "integer",
   "default": 2,
   "maximum": 200,
   "minimum": 2
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/writing-assignment-workload-string-normalisation-trailing-mean-series-74b68b85/health.json
- [Zero catalog index](https://www.zero.xyz/llms.txt)
- [Other services from market.datapackvibe.com](https://www.zero.xyz/host/market.datapackvibe.com/llms.txt)