# Tutoring Sessions Numeric Distribution and Missing Value Fill

> Tutoring Sessions Numeric Distribution and 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 2026-10-26).

Computes numeric distribution statistics and fills missing values (zero/mean/median) for tutoring session records (session_minutes, session_count) across up to 200 rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-education-16-085?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/tutoring-sessions-numeric-distribution-and-missing-value-fill-a604b9a1
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_chddeDKHkceTST_zaUXr3

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-numeric-distribution-and-missing-value-fill-a604b9a1 -d '<json body>'
```

Example prompt: Can you analyze the distribution of session_minutes and also fill any missing session_minutes values using median imputation for my tutoring records? Here are the rows: row-1, group-a, 2024-09-01, 45 minutes, 3 sessions; row-2, group-b, 2024-09-02, null, 2 sessions; row-3, group-a, 2024-09-03, 60 minutes, null.

## When to prefer this

Choose this endpoint when you have up to 200 tutoring session records with numeric fields (session_minutes or session_count) and need both a distribution analysis and missing-value imputation in a single low-cost call ($0.01 USDC). It is ideal for offline/batch educational data quality workflows where no live data lookup or prediction is required, and when you want two bundled analytical reports from local computation only.

## Known failure modes

- Input array exceeds 200 rows — request rejected
- Missing required fields (row_id, date, course_group) cause row-level validation errors
- Invalid date format (not YYYY-MM-DD) triggers schema validation failure
- Unsupported fill method enum value returns error
- Numeric values outside allowed range rejected
- Empty rows array returns error

## How this service works

Tutoring sessions — Numeric distribution + Explicit missing-value fill: Numeric distribution + 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 analytical reports: (1) a numeric distribution summary (e.g. min, max, mean, median, percentiles, histogram bins) for the specified field (session_minutes or session_count), and (2) a missing-value fill report showing each row's original and imputed value using the chosen method (zero, mean, or median). Up to 200 input rows are supported per call.

## 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-numeric-distribution-and-missing-value-fill-a604b9a1/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)