# Tutoring Sessions — String Normalisation + Adjacent Row Changes

> Tutoring Sessions — String Normalisation + Adjacent Row Changes 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).

Performs string normalisation and adjacent row change analysis 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-16-029?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/tutoring-sessions-string-normalisation-adjacent-row-changes-8ec363b2
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_B6KXyI8L08Q1dVc1D_xCN

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-adjacent-row-changes-8ec363b2 -d '<json body>'
```

Example prompt: Can you run string normalisation and adjacent row changes on these tutoring session records — I have 4 rows with course groups 'group-a' and 'group-b', dates from 2026-10-01 to 2026-10-04, and I want to analyse the session_minutes field?

## When to prefer this

Choose this endpoint when you have tabular tutoring session data (up to 200 rows) and need both string normalisation and adjacent row change analysis together in a single paid call. It is purpose-built for education session metrics (session_minutes, session_count) with a defined schema, making it preferable over generic analytics tools when you need two packaged reports at minimal cost ($0.01 USDC) without any live lookups or external dependencies.

## Known failure modes

- More than 200 rows submitted — exceeds maxItems limit
- Missing required fields (row_id, date, course_group) — validation error
- Invalid date format not matching YYYY-MM-DD pattern — schema rejection
- Field selector not one of 'session_minutes' or 'session_count' — enum error
- Empty rows array (minItems: 1 not satisfied) — validation error
- Non-numeric or out-of-range values for session_minutes or session_count — potential computation error

## How this service works

Tutoring sessions — String normalisation + Adjacent row changes: String normalisation + Adjacent row changes 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

Returns two analytical reports: (1) string-normalised representations of the selected numeric field (session_minutes or session_count) for each input row, and (2) adjacent row change values showing the delta between consecutive rows. Both reports are derived purely from the supplied data with no external lookups.

## 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"
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/tutoring-sessions-string-normalisation-adjacent-row-changes-8ec363b2/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)