# Tutoring Sessions String Normalisation + Trailing Mean Series

> Tutoring Sessions 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 2026-10-25).

Applies string normalisation and computes a trailing mean series on tutoring session records (session_minutes or session_count) for up to 200 rows, returning two analytical reports.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-education-16-028?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/tutoring-sessions-string-normalisation-trailing-mean-series-084cc301
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_27ebp4r7ha2p5VdD7WbQy

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 tutoring-sessions-string-normalisation-trailing-mean-series-084cc301 -d '<json body>'
```

Example prompt: Can you run string normalisation and a trailing mean series on my tutoring session data — I have 40 rows with session_minutes and course_group fields, using a window of 3 for the session_minutes field?

## When to prefer this

Choose this endpoint when you need both string normalisation and trailing mean time-series analysis on tutoring session data in a single low-cost call. It is purpose-built for education session records (session_minutes, session_count) and bundles two analytical reports for $0.01 USDC, making it ideal for lightweight offline analytical pipelines without external lookups or live data dependencies.

## Known failure modes

- Rows exceed 200-item limit — request rejected
- Invalid date format (not YYYY-MM-DD) — validation error
- Window size out of range (must be 2–200) — schema error
- Missing required fields (row_id, date, session_minutes, session_count) — validation failure
- Numeric values out of allowed range — schema rejection
- Empty rows array — validation error

## How this service works

Tutoring sessions — String normalisation + Trailing mean series: String normalisation + Trailing mean series for supplied tutoring sessions records (session_minutes, session_count). 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 per call: (1) a string normalisation report cleaning text fields like course_group, and (2) a trailing mean series computed over the specified numeric field (session_minutes or session_count) using the given window size, 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",
     "session_minutes",
     "session_count"
    ],
    "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
     },
     "session_count": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     },
     "session_minutes": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     }
    },
    "additionalProperties": false
   },
   "default": [
    {
     "date": "2026-10-01",
     "row_id": "row-1",
     "course_group": "group-a",
     "session_count": 1,
     "session_minutes": 10
    },
    {
     "date": "2026-10-02",
     "row_id": "row-2",
     "course_group": "group-b",
     "session_count": 2,
     "session_minutes": 20
    },
    {
     "date": "2026-10-03",
     "row_id": "row-3",
     "course_group": "group-a",
     "session_count": 3,
     "session_minutes": 15
    },
    {
     "date": "2026-10-04",
     "row_id": "row-4",
     "course_group": "group-b",
     "session_count": 4,
     "session_minutes": 30
    }
   ],
   "maxItems": 200,
   "minItems": 1
  },
  "field": {
   "enum": [
    "session_minutes",
    "session_count"
   ],
   "type": "string",
   "default": "session_minutes"
  },
  "window": {
   "type": "integer",
   "default": 2,
   "maximum": 200,
   "minimum": 2
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/tutoring-sessions-string-normalisation-trailing-mean-series-084cc301/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)