# Tutoring Sessions Record Quality Audit + Explicit Missing-Value Fill

> Tutoring Sessions Record Quality Audit + Explicit 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).

Audits tutoring session records for data quality issues and fills missing values in session_minutes or session_count fields using zero, mean, or median imputation — up to 200 rows, two reports per call.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-education-16-019?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-record-quality-audit-explicit-missing-value-fill-05c5fc6e
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_pjLIZ3RetODgttX72rTRc

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-record-quality-audit-explicit-missing-value-fill-05c5fc6e -d '<json body>'
```

Example prompt: Can you run a quality audit on these tutoring session records and fill in any missing session_minutes values using median imputation? I have about 50 rows with fields like row_id, course_group, date, session_minutes, and session_count.

## When to prefer this

Choose this endpoint when you need both a data quality audit and missing-value imputation for tutoring session records (session_minutes, session_count) in a single call. It is ideal for preprocessing education datasets before downstream analytics, dashboards, or reporting pipelines. Prefer this over generic data cleaning tools when your data specifically follows the tutoring session schema (row_id, course_group, date, session_minutes, session_count) and you want two structured reports — audit + fill — without any external API calls or live predictions.

## Known failure modes

- More than 200 rows submitted — request rejected or truncated
- Invalid date format (not YYYY-MM-DD) causes row-level validation failure
- Missing required fields (row_id, course_group, date) causes schema rejection
- Invalid method enum value (not zero/mean/median) causes request failure
- Invalid field enum value (not session_minutes/session_count) causes request failure
- Empty rows array causes rejection due to minItems:1 constraint

## How this service works

Tutoring sessions — Record quality audit + Explicit missing-value fill: Record quality audit + 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 independent reports: (1) a record quality audit identifying issues such as nulls, out-of-range values, and malformed dates across the submitted rows; and (2) a missing-value fill report showing which rows had null values in the specified field (session_minutes or session_count) and what imputed values (zero, mean, or median) were substituted. All processing is done locally 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"
  },
  "method": {
   "enum": [
    "zero",
    "mean",
    "median"
   ],
   "type": "string",
   "default": "median"
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/tutoring-sessions-record-quality-audit-explicit-missing-value-fill-05c5fc6e/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)