# Writing Assignment Workload — String Normalisation + Numeric Interval Filter

> Writing Assignment Workload — String Normalisation + Numeric Interval Filter 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).

Normalises string fields and filters writing assignment workload records by a numeric interval on assigned_words or available_hours, returning two analytical reports for up to 200 rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-writing-22-026?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-numeric-interval-b5988244
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_qPh2HVhy9jb5YfUMxMjrf

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-numeric-interval-b5988244 -d '<json body>'
```

Example prompt: Can you run string normalisation and a numeric interval filter on these writing assignment records — filter on assigned_words between 500 and 5000 — and give me the two analytical reports? I have about 50 rows with row_id, document_group, date, assigned_words, and available_hours.

## When to prefer this

Choose this endpoint when you have up to 200 writing assignment workload records that need both string field normalisation and a numeric range filter applied in a single call returning two reports. It is purpose-built for writing assignment data (assigned_words, available_hours) and is ideal for offline batch cleaning and filtering without needing an external database or prediction service.

## Known failure modes

- Rows array exceeds 200 items — request rejected
- Missing required fields (row_id, date, assigned_words, available_hours) cause row-level validation errors
- Date strings not matching YYYY-MM-DD pattern are rejected
- minimum value greater than maximum value produces empty filtered result set
- Null numeric values in the filtered field are excluded from interval comparison

## How this service works

Writing assignment workload — String normalisation + Numeric interval filter: String normalisation + Numeric interval filter 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 covering the supplied writing assignment workload rows after string normalisation has been applied to text fields and a numeric interval filter has been applied to the selected field (assigned_words or available_hours). Each report provides a structured analytical view of the processed records.

## 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"
  },
  "maximum": {
   "type": "number",
   "default": 100,
   "maximum": 1000000000000,
   "minimum": -1000000000000
  },
  "minimum": {
   "type": "number",
   "default": 0,
   "maximum": 1000000000000,
   "minimum": -1000000000000
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/writing-assignment-workload-string-normalisation-numeric-interval-b5988244/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)