# Tutoring Sessions Grouped Summary & Missing-Value Fill

> Tutoring Sessions Grouped Summary & Missing-Value Fill 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).

Computes grouped numeric summary statistics and fills missing values for tutoring session records (session_minutes, session_count) across up to 200 rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-education-16-099?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-grouped-summary-missing-value-fill-b8db1706
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_U5UTJKkxn_nfW98NHSNM_

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-grouped-summary-missing-value-fill-b8db1706 -d '<json body>'
```

Example prompt: I have up to 200 tutoring session records with course_group, date, session_minutes, and session_count — can you group them by course and compute summary stats for session_minutes, and also fill any missing session_minutes values using the median method?

## When to prefer this

Choose this endpoint when you have tutoring or education session tabular data (up to 200 rows) and need both grouped aggregate statistics and explicit missing-value imputation in a single call at low cost ($0.01 USDC). It is ideal for lightweight, offline analytical tasks on supplied data without requiring a live database, prediction model, or external lookup. Prefer it over general-purpose analytics APIs when you specifically need group-by summaries combined with null-fill on session-oriented education metrics.

## Known failure modes

- More than 200 rows submitted — request rejected or truncated
- Invalid date format (non YYYY-MM-DD) causes row rejection
- Missing required fields (row_id, course_group, date) causes validation error
- Numeric values outside allowed range cause rejection
- Invalid enum value for field or method parameter returns error
- Empty rows array returns error

## How this service works

Tutoring sessions — Grouped numeric summary + Explicit missing-value fill: Grouped numeric summary + Explicit missing-value fill 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: (1) a grouped numeric summary of the chosen field (session_minutes or session_count) segmented by course_group, including statistics such as count, mean, sum, min, max; and (2) the dataset with missing values in the chosen field explicitly filled using the selected method (zero, mean, or median). Covers up to 200 supplied rows with no external data 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"
  },
  "method": {
   "enum": [
    "zero",
    "mean",
    "median"
   ],
   "type": "string",
   "default": "median"
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/tutoring-sessions-grouped-summary-missing-value-fill-b8db1706/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)