# Tutoring Sessions — Adjacent Row Changes + Secondary-Measure Weighted Mean

> Tutoring Sessions — Adjacent Row Changes + Secondary-Measure Weighted Mean 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).

Computes adjacent row changes and a secondary-measure weighted mean for tutoring session records (session_minutes, session_count) across up to 200 rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-education-16-159?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-adjacent-row-changes-secondary-measure-weighted-mean-21617bcf
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_VKNziye1DRVQpi7oRRf6d

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-adjacent-row-changes-secondary-measure-weighted-mean-21617bcf -d '<json body>'
```

Example prompt: Analyze these tutoring session records for me — I need both the adjacent row changes and a session-count-weighted mean for session_minutes. Here are the rows: row-1 on 2026-10-01 for group-a with 10 session_minutes and 1 session_count, row-2 on 2026-10-02 for group-b with 20 minutes and 2 sessions, row-3 on 2026-10-03 for group-a with 15 minutes and 3 sessions, and row-4 on 2026-10-04 for group-b with 30 minutes and 4 sessions.

## When to prefer this

Choose this endpoint when you have tutoring session tabular data and need both a row-by-row delta analysis and a weighted mean computed locally without any external data fetch, prediction, or live lookup. It is ideal for education analytics workflows where you supply up to 200 rows and need two statistical reports in a single $0.01 call. Prefer it over general-purpose analytics tools when your data is specifically session_minutes and session_count keyed by course_group and date.

## Known failure modes

- Rows array is empty or missing — validation error
- More than 200 rows supplied — request rejected with max-items error
- Invalid date format (not YYYY-MM-DD) — schema validation failure
- Null values in session_minutes or session_count may affect weighted mean calculation
- Invalid enum value for 'field' parameter — rejected by schema
- Missing required fields (row_id, date, course_group) on any row — validation error

## How this service works

Tutoring sessions — Adjacent row changes + Secondary-measure weighted mean: Adjacent row changes + Secondary-measure weighted mean 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 reports for the supplied tutoring session rows: (1) adjacent row changes showing the delta in the selected measure (session_minutes or session_count) between consecutive rows, and (2) a secondary-measure weighted mean where the selected field is averaged using the other measure as the weight. Results cover up to 200 input rows and are derived entirely 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-adjacent-row-changes-secondary-measure-weighted-mean-21617bcf/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)