# Tutoring Sessions Data Quality Audit, String Normalisation & Numeric Interval Filter

> Tutoring Sessions Data Quality Audit, String Normalisation & Numeric Interval Filter is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-11-04).

Audits record quality, normalises strings, and filters by numeric interval for tutoring session data (session_minutes, session_count) across up to 200 rows, returning 3 independent analytical reports.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-education-16-197?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-11-04
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/tutoring-sessions-data-quality-audit-string-normalisation-numeric-a2574613
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_LDEG5kGy_XNyp2pWnkY00

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-data-quality-audit-string-normalisation-numeric-a2574613 -d '<json body>'
```

Example prompt: Can you run a record quality audit, string normalisation, and numeric interval filter on my tutoring session data? I have up to 50 rows with fields like course_group, date, session_minutes, and session_count — I want to filter on session_minutes between 0 and 90.

## When to prefer this

Choose this endpoint when you need a cost-effective, combined data quality pass on tutoring or education session records — specifically when you want record auditing, string normalisation, and numeric range filtering in a single call without any live lookups, external integrations, or AI predictions. Best suited for pre-processing pipelines, data validation before import, or routine data hygiene checks on datasets up to 200 rows.

## Known failure modes

- More than 200 rows submitted — request exceeds row limit and will be rejected
- Missing required fields (row_id, date, course_group, session_minutes, session_count) cause row-level validation errors
- Invalid date format (not YYYY-MM-DD) causes parsing failure
- Minimum value greater than maximum value produces an empty or nonsensical interval filter result
- Non-numeric values in session_minutes or session_count fields where numbers are expected

## How this service works

Tutoring sessions — Record quality audit + String normalisation + Numeric interval filter: Record quality audit + String normalisation + Numeric interval filter for supplied tutoring sessions records (session_minutes, session_count). Up to 200 rows; 3 independent reports using shared local analytical engines. No live lookup, prediction, professional assessment or external action. 0.01 USDC includes 3 supplied-data reports for up to 200 rows.

## Output

Returns 3 independent reports: (1) a record quality audit flagging missing, malformed, or anomalous values; (2) a string normalisation report for the course_group and other string fields; and (3) a numeric interval filter report showing which rows fall within or outside the specified minimum/maximum range for the chosen field (session_minutes or session_count).

## 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"
  },
  "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-data-quality-audit-string-normalisation-numeric-a2574613/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)