# Curriculum Mapping — String Normalisation + Two-Measure Correlation

> Curriculum Mapping — String Normalisation + Two-Measure Correlation 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).

Analyzes curriculum mapping records by normalizing strings and computing two-measure correlation between mapped_outcomes and required_outcomes across up to 200 rows, returning two independent analytical reports.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-education-24-033?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/curriculum-mapping-string-normalisation-two-measure-correlation-475e4d6a
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_5ouOrxYEBCdSyDNqoFOEX

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-two-measure-correlation-475e4d6a -d '<json body>'
```

Example prompt: Can you run string normalization and a two-measure correlation analysis on my curriculum mapping data? I have rows for two course groups — group-a and group-b — each with mapped_outcomes and required_outcomes values across dates in October 2026, and I need both reports back.

## When to prefer this

Choose this endpoint when you have structured curriculum mapping data with numeric mapped_outcomes and required_outcomes fields and need both string normalization and a two-measure statistical correlation analysis in a single call, without requiring live data lookup or external prediction. Best suited for batches of up to 200 rows where local analytical computation is sufficient and no external enrichment is needed.

## Known failure modes

- Exceeds 200 row limit — request rejected with validation error
- Missing required fields (row_id, date, mapped_outcomes, required_outcomes) — schema validation failure
- Date field not in YYYY-MM-DD format — pattern validation error
- Null values in both outcome fields for a row — may degrade correlation computation
- row_id longer than 80 characters — field length validation error
- Payment not supplied or insufficient (x402 protocol) — payment required error

## How this service works

Curriculum mapping — String normalisation + Two-measure correlation: String normalisation + Two-measure correlation 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

Returns two independent analytical reports: (1) a string normalization report covering the text fields in the submitted curriculum mapping rows, and (2) a two-measure correlation report quantifying the statistical relationship between mapped_outcomes and required_outcomes across the supplied rows (up to 200 rows total).

## 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
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/curriculum-mapping-string-normalisation-two-measure-correlation-475e4d6a/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)