# Transcript Preparation — Record Quality Audit + Date by Category Pivot

> Transcript Preparation — Record Quality Audit + Date by Category Pivot is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-29).

Runs two analytical reports on transcript preparation records: a record quality audit and a date-by-category pivot, for up to 200 rows of transcribed/source minutes data.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-writing-12-017?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-29
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/transcript-preparation-record-quality-audit-date-by-category-pivot-735e9286
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_RpbflZEO7vGQn0LF_0Mch

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-record-quality-audit-date-by-category-pivot-735e9286 -d '<json body>'
```

Example prompt: Run a record quality audit and a date-by-category pivot on my transcript preparation data — I have rows with row_id, document_group, date, transcribed_minutes, and source_minutes fields, and I want both reports for up to 200 rows focusing on the transcribed_minutes field.

## When to prefer this

Choose this endpoint when you have transcript preparation records with transcribed_minutes and source_minutes fields and need both a data quality audit and a date-by-category pivot in a single low-cost call. It is ideal for batch validation and summarization of up to 200 transcription records without needing live data lookups or external integrations. Prefer alternatives if you need more than 200 rows, real-time lookups, predictive analytics, or reports beyond quality audit and date pivoting.

## Known failure modes

- Exceeding 200 rows causes rejection
- Missing required fields (row_id, document_group, date, transcribed_minutes, source_minutes) causes validation error
- Invalid date format (not YYYY-MM-DD) causes schema rejection
- Empty rows array rejected (minItems: 1)
- Null numeric values may affect aggregation accuracy in pivot report
- Invalid field enum value causes error

## How this service works

Transcript preparation — Record quality audit + Date by category pivot: Record quality audit + Date by category pivot 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 independent analytical reports: (1) a record quality audit identifying missing values, anomalies, or integrity issues across the supplied transcript rows; and (2) a date-by-category pivot table aggregating the selected field (transcribed_minutes or source_minutes) grouped by date and document_group. No external data sources are used; all analysis is performed locally on the supplied rows.

## 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"
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/transcript-preparation-record-quality-audit-date-by-category-pivot-735e9286/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)