# Tutoring Sessions — Category Frequencies + Keyed Dataset Comparison

> Tutoring Sessions — Category Frequencies + Keyed Dataset Comparison 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).

Analyzes tutoring session records to produce category frequency distributions and a row-keyed comparison between two supplied datasets (up to 200 rows each, two reports per call).

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-education-16-111?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-category-frequencies-keyed-dataset-comparison-881cec58
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_6S4hCRqmVr8QtwKHBkNkt

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-category-frequencies-keyed-dataset-comparison-881cec58 -d '<json body>'
```

Example prompt: I have two sets of tutoring session records — one from last semester and one from this semester — each with up to 200 rows including course_group, date, session_minutes, and session_count. Can you run a category frequency report on the first dataset and a keyed comparison between the two to show where sessions differ?

## When to prefer this

Choose this endpoint when you have structured tutoring session data (with session_minutes and session_count) and need both a category frequency breakdown and a row-keyed comparison between two datasets in a single call. It is ideal for education analytics workflows comparing cohorts, time periods, or pilot vs control groups without requiring any external data lookups or live predictions.

## Known failure modes

- Missing required fields (row_id, course_group, date, session_minutes, session_count) causes validation error
- Submitting more than 200 rows in either dataset exceeds the row limit
- Malformed date strings not matching YYYY-MM-DD pattern are rejected
- Empty rows array returns an error
- Mismatched row_ids between datasets may result in unmatched rows in the comparison report

## How this service works

Tutoring sessions — Category frequencies + Keyed dataset comparison: Category frequencies + Keyed dataset comparison 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 category frequency table showing how often each course_group appears in the submitted rows dataset, and (2) a keyed dataset comparison report that matches rows by row_id between the two supplied datasets and surfaces differences in session_minutes and session_count values.

## 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}$",
      "maxLength": 10
     },
     "row_id": {
      "type": "string",
      "default": "",
      "maxLength": 80,
      "minLength": 1
     },
     "course_group": {
      "type": "string",
      "default": "",
      "maxLength": 80
     },
     "session_count": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     },
     "session_minutes": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     }
    },
    "additionalProperties": false
   },
   "default": [
    {
     "date": "2026-10-01",
     "row_id": "row-1",
     "course_group": "group-a",
     "session_count": 1,
     "session_minutes": 10
    },
    {
     "date": "2026-10-02",
     "row_id": "row-2",
     "course_group": "group-b",
     "session_count": 2,
     "session_minutes": 20
    },
    {
     "date": "2026-10-03",
     "row_id": "row-3",
     "course_group": "group-a",
     "session_count": 3,
     "session_minutes": 15
    },
    {
     "date": "2026-10-04",
     "row_id": "row-4",
     "course_group": "group-b",
     "session_count": 4,
     "session_minutes": 30
    }
   ],
   "maxItems": 200,
   "minItems": 1
  },
  "other": {
   "type": "array",
   "items": {
    "type": "object",
    "required": [
     "row_id",
     "course_group",
     "date",
     "session_minutes",
     "session_count"
    ],
    "properties": {
     "date": {
      "type": "string",
      "default": "",
      "pattern": "^\\d{4}-\\d{2}-\\d{2}$",
      "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
   }
… (truncated)
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/tutoring-sessions-category-frequencies-keyed-dataset-comparison-881cec58/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)