# Transcript Preparation — Record Quality Audit + Exact Row Deduplication + Category Frequencies

> Transcript Preparation — Record Quality Audit + Exact Row Deduplication + Category Frequencies 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).

Runs three local analytical reports on transcript preparation records: a record quality audit, exact row deduplication, and category frequency analysis for up to 200 rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-writing-12-212?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/transcript-preparation-record-quality-audit-exact-row-deduplication-1e6f67c7
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_Ny6raojkk6-VPNMhQRX3C

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-exact-row-deduplication-1e6f67c7 -d '<json body>'
```

Example prompt: Can you run a quality audit, deduplicate exact rows, and get category frequencies on these transcript records I have — each row has a row_id, document_group, date, transcribed_minutes, and source_minutes? I have about 50 rows across groups like 'group-a' and 'group-b' from October 2026.

## When to prefer this

Choose this endpoint when you need three bundled analytical operations — quality audit, deduplication, and category frequency — on transcript preparation records in a single low-cost call. It is ideal for lightweight data validation and summarization tasks on batches up to 200 rows without needing external data sources, ML predictions, or live lookups. Prefer this over general-purpose analytics services when your data specifically contains transcribed_minutes and source_minutes fields organized by document_group.

## Known failure modes

- Exceeding 200 rows returns a validation error
- Missing required fields (row_id, date, transcribed_minutes, source_minutes) causes row-level rejection
- Malformed date strings not matching YYYY-MM-DD pattern are flagged or rejected
- Empty rows array returns an error
- Payment not included or insufficient funds results in 402 response

## How this service works

Transcript preparation — Record quality audit + Exact row deduplication + Category frequencies: Record quality audit + Exact row deduplication + Category frequencies for supplied transcript preparation records (transcribed_minutes, source_minutes). 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 three independent analytical reports: (1) a record quality audit flagging issues such as nulls, out-of-range values, or malformed fields across transcribed_minutes and source_minutes; (2) an exact row deduplication report identifying identical records; (3) a category frequency table showing how often each document_group value appears across the supplied rows. All analysis is performed locally on the supplied data with no external lookups.

## 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
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/transcript-preparation-record-quality-audit-exact-row-deduplication-1e6f67c7/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)