# Tutoring Sessions Numeric Interval Filter and Missing Value Fill

> Tutoring Sessions Numeric Interval Filter 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 2026-11-02).

Filters tutoring session rows by a numeric interval on session_minutes or session_count and fills missing values using zero, mean, or median imputation, returning 2 analytical reports for up to 200 rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-education-16-135?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-numeric-interval-filter-and-missing-value-fill-0623556f
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_lkoc-n6H2U2iZdXLxBTnv

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-interval-filter-and-missing-value-fill-0623556f -d '<json body>'
```

Example prompt: Take my 150 tutoring session records with row_id, course_group, date, session_minutes, and session_count fields, filter so session_minutes stays between 0 and 90, and fill any missing session_minutes values using median — then give me the 2 analytical reports.

## When to prefer this

Choose this endpoint when you have up to 200 tutoring session records and need both numeric range filtering (to remove out-of-bound values) and explicit missing-value imputation (zero, mean, or median) applied to session_minutes or session_count in a single call returning two analytical reports. It is purpose-built for education/tutoring data cleaning workflows and costs only $0.01 USDC for both reports together.

## Known failure modes

- Input array exceeds 200 rows — request rejected
- Missing required fields (row_id, date, course_group) on any row — validation error
- Minimum bound greater than maximum bound — logical error in filter parameters
- Invalid date format (not YYYY-MM-DD) — schema validation failure
- No rows remain after interval filtering — empty result or error
- Unsupported fill method value outside zero/mean/median enum — schema rejection

## How this service works

Tutoring sessions — Numeric interval filter + Explicit missing-value fill: Numeric interval filter + 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

Two independent analytical reports covering the interval-filtered and missing-value-filled tutoring session records, based on up to 200 supplied rows of session_minutes or session_count data. No external data is fetched; all analysis uses local engines on the provided 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"
  },
  "method": {
   "enum": [
    "zero",
    "mean",
    "median"
   ],
   "type": "string",
   "default": "median"
  },
  "maximum": {
   "type": "number",
   "default": 100,
   "maximum": 1000000000000,
   "minimum": -1000000000000
  },
  "minimum": {
   "type": "number",
   "default": 0,
   "maximum": 1000000000000,
   "minimum": -1000000000000
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/tutoring-sessions-numeric-interval-filter-and-missing-value-fill-0623556f/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)