# Transcript Preparation: Category Frequencies + Explicit Missing-Value Fill

> Transcript Preparation: Category Frequencies + 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 2026-11-02).

Analyzes up to 200 transcript preparation records to produce category frequency counts and fills missing values in a specified field using zero, mean, or median imputation.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-writing-12-112?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/transcript-preparation-category-frequencies-explicit-missing-value-fill-2339ee8b
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_xWvM-ahUuQysvaFreyZtr

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 transcript-preparation-category-frequencies-explicit-missing-value-fill-2339ee8b -d '<json body>'
```

Example prompt: I have 4 transcript preparation records with transcribed_minutes and source_minutes fields — can you run a category frequency analysis on the document groups and fill any missing transcribed_minutes values using median imputation?

## When to prefer this

Choose this endpoint when you have transcript preparation data (transcribed_minutes, source_minutes) and need both a category frequency breakdown by document group AND missing-value imputation in a single low-cost call. It is ideal for small-to-medium datasets (up to 200 rows) where you want local, deterministic statistical analysis without any external lookups, predictions, or side effects. Prefer this over general-purpose data tools when your data specifically uses the transcript preparation schema with document_group, transcribed_minutes, and source_minutes fields.

## Known failure modes

- Fewer than 1 row or more than 200 rows submitted — request rejected
- Invalid date format (not YYYY-MM-DD) — validation error
- Field value out of allowed numeric range — schema rejection
- Missing required fields (row_id, document_group, date) — error response
- Invalid method enum value (not zero/mean/median) — rejected
- Invalid field enum value (not transcribed_minutes/source_minutes) — rejected

## How this service works

Transcript preparation — Category frequencies + Explicit missing-value fill: Category frequencies + Explicit missing-value fill for supplied transcript preparation records (transcribed_minutes, source_minutes). 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 document_group value appears across the submitted rows, and (2) an explicit missing-value fill report where null values in the selected field (transcribed_minutes or source_minutes) are replaced with the chosen method (zero, mean, or median), showing original and filled values per row.

## Request schema (JSON Schema)

```json
{
 "type": "object",
 "properties": {
  "rows": {
   "type": "array",
   "items": {
    "type": "object",
    "required": [
     "row_id",
     "document_group",
     "date",
     "transcribed_minutes",
     "source_minutes"
    ],
    "properties": {
     "date": {
      "type": "string",
      "default": "",
      "pattern": "^\\d{4}-\\d{2}-\\d{2}$",
      "maxLength": 10
     },
     "row_id": {
      "type": "string",
      "default": "",
      "maxLength": 80,
      "minLength": 1
     },
     "document_group": {
      "type": "string",
      "default": "",
      "maxLength": 80
     },
     "source_minutes": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     },
     "transcribed_minutes": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     }
    },
    "additionalProperties": false
   },
   "default": [
    {
     "date": "2026-10-01",
     "row_id": "row-1",
     "document_group": "group-a",
     "source_minutes": 1,
     "transcribed_minutes": 10
    },
    {
     "date": "2026-10-02",
     "row_id": "row-2",
     "document_group": "group-b",
     "source_minutes": 2,
     "transcribed_minutes": 20
    },
    {
     "date": "2026-10-03",
     "row_id": "row-3",
     "document_group": "group-a",
     "source_minutes": 3,
     "transcribed_minutes": 15
    },
    {
     "date": "2026-10-04",
     "row_id": "row-4",
     "document_group": "group-b",
     "source_minutes": 4,
     "transcribed_minutes": 30
    }
   ],
   "maxItems": 200,
   "minItems": 1
  },
  "field": {
   "enum": [
    "transcribed_minutes",
    "source_minutes"
   ],
   "type": "string",
   "default": "transcribed_minutes"
  },
  "method": {
   "enum": [
    "zero",
    "mean",
    "median"
   ],
   "type": "string",
   "default": "median"
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/transcript-preparation-category-frequencies-explicit-missing-value-fill-2339ee8b/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)