# Transcript Preparation — Record Quality Audit + String Normalisation + Adjacent Row Changes

> Transcript Preparation — Record Quality Audit + String Normalisation + Adjacent Row Changes is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-24).

Runs three analytical reports (record quality audit, string normalisation, and adjacent row changes) on up to 200 transcript preparation rows containing transcribed_minutes and source_minutes fields.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-writing-12-200?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-24
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/transcript-preparation-record-quality-audit-string-normalisation-a60f5cc2
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_OvHDTegZumpibXFevu-FY

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-string-normalisation-a60f5cc2 -d '<json body>'
```

Example prompt: Can you run the three-report transcript preparation audit on these 200 rows of transcription data — covering record quality, string normalisation, and adjacent row changes — using the transcribed_minutes field?

## When to prefer this

Choose this endpoint when you need three bundled analytical passes (quality audit, string normalisation, and adjacent row change detection) on transcript preparation data in a single low-cost call. It is ideal for batch validation of transcription logs before storage or publishing, and when you do not need real-time lookup, prediction, or external data enrichment. It is most cost-effective when you have close to 200 rows, since all three reports are included in the flat $0.01 USDC price.

## Known failure modes

- Fewer than 1 row submitted — minItems validation error
- More than 200 rows submitted — maxItems validation error
- Invalid date format (not YYYY-MM-DD) — pattern validation error
- row_id missing or empty — required field error
- field value not one of the allowed enum values (transcribed_minutes, source_minutes) — enum validation error
- Numeric values outside allowed range — minimum/maximum validation error

## How this service works

Transcript preparation — Record quality audit + String normalisation + Adjacent row changes: Record quality audit + String normalisation + Adjacent row changes 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

Three separate analytical reports for the submitted rows: (1) a record quality audit identifying data issues, (2) a string normalisation report flagging or correcting string formatting problems, and (3) an adjacent row changes report highlighting where consecutive rows differ in the specified field. All analysis is performed locally 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
  },
  "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-string-normalisation-a60f5cc2/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)