# Curriculum Mapping — String Normalisation + Trailing Mean Series

> Curriculum Mapping — 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 2026-10-26).

Runs two local analytical reports on curriculum mapping data: string normalisation and trailing mean series for mapped_outcomes or required_outcomes fields across up to 200 rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-education-24-028?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-26
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/curriculum-mapping-string-normalisation-trailing-mean-series-bf42f670
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_CuHCQ9a8YLke17WnlF_WT

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-trailing-mean-series-bf42f670 -d '<json body>'
```

Example prompt: Can you run string normalisation and a trailing mean series (window size 3) on my curriculum mapping records for the mapped_outcomes field? I have about 50 rows with columns row_id, course_group, date, mapped_outcomes, and required_outcomes.

## When to prefer this

Choose this endpoint when you need lightweight, local analytical processing of curriculum mapping records — specifically string normalisation combined with a rolling/trailing mean series — without requiring external data lookups, predictions, or professional assessments. Ideal for education data pipelines that need to clean and summarize outcome metrics across up to 200 rows at low cost ($0.01 USDC for both reports).

## Known failure modes

- Fewer than 1 row submitted returns a validation error
- More than 200 rows submitted exceeds the per-call limit
- Invalid date format (not YYYY-MM-DD) causes row rejection
- Window size larger than the number of rows may produce sparse or empty trailing means
- Null values in mapped_outcomes or required_outcomes may reduce trailing mean coverage
- Missing required fields (row_id, course_group, date) cause schema validation failure

## How this service works

Curriculum mapping — String normalisation + Trailing mean series: String normalisation + Trailing mean series 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 analytical reports for the supplied curriculum mapping rows: (1) a string normalisation report cleaning text fields in the dataset, and (2) a trailing mean series for the selected numeric field (mapped_outcomes or required_outcomes) computed over the specified rolling window — all processed locally with no external lookups.

## 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"
  },
  "window": {
   "type": "integer",
   "default": 2,
   "maximum": 200,
   "minimum": 2
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/curriculum-mapping-string-normalisation-trailing-mean-series-bf42f670/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)