# Curriculum Mapping — String Normalisation & Numeric Row Ordering

> Curriculum Mapping — String Normalisation & Numeric Row Ordering 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).

Normalises strings and orders rows numerically for curriculum mapping records containing mapped_outcomes and required_outcomes fields, producing two analytical reports for up to 200 rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-education-24-025?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-25
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/curriculum-mapping-string-normalisation-numeric-row-ordering-c234134d
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_ThMYPTFM6phagy09wEPdp

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 curriculum-mapping-string-normalisation-numeric-row-ordering-c234134d -d '<json body>'
```

Example prompt: Can you normalise the strings and sort the rows numerically by mapped_outcomes for my curriculum mapping data? I have four rows: row-1 for group-a on 2026-10-01 with mapped_outcomes 10 and required_outcomes 1, row-2 for group-b on 2026-10-02 with mapped_outcomes 20 and required_outcomes 2, row-3 for group-a on 2026-10-03 with mapped_outcomes 15 and required_outcomes 3, and row-4 for group-b on 2026-10-04 with mapped_outcomes 30 and required_outcomes 4.

## When to prefer this

Choose this endpoint when you need lightweight, local string normalisation and numeric row ordering reports for curriculum mapping records with mapped_outcomes and required_outcomes fields, especially when you want two reports bundled for a single low-cost call ($0.01 USDC) without any external lookups, AI predictions, or live data dependencies.

## Known failure modes

- More than 200 rows submitted — request rejected due to maxItems constraint
- Missing required fields (row_id, date, mapped_outcomes, required_outcomes) — validation error
- Date field not matching YYYY-MM-DD pattern — schema validation failure
- Numeric values outside allowed range (±1,000,000,000,000) — rejected
- Invalid field enum value — must be 'mapped_outcomes' or 'required_outcomes'

## How this service works

Curriculum mapping — String normalisation + Numeric row ordering: String normalisation + Numeric row ordering for supplied curriculum mapping records (mapped_outcomes, required_outcomes). 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 independent analytical reports: one covering string normalisation of course_group and other string fields across the submitted rows, and one covering numeric ordering of rows by the selected field (mapped_outcomes or required_outcomes). Results are computed locally with no external lookups, covering up to 200 input rows.

## Request schema (JSON Schema)

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

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/curriculum-mapping-string-normalisation-numeric-row-ordering-c234134d/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)