# Transcript Preparation — Record Quality Audit + String Normalisation + Keyed Dataset Comparison

> Transcript Preparation — Record Quality Audit + String Normalisation + 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 2026-10-25).

Audits record quality, normalises strings, and compares two keyed transcript datasets (transcribed_minutes vs source_minutes) for up to 200 rows, returning 3 independent analytical reports.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-writing-12-207?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-25
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/transcript-preparation-record-quality-audit-string-normalisation-2ba1a087
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_pGLtyo6k62wcefoz3GHpM

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-2ba1a087 -d '<json body>'
```

Example prompt: Can you run a quality audit, string normalisation, and keyed comparison on these transcript preparation records — I have up to 50 rows each with a row_id, document_group, date, transcribed_minutes, and source_minutes — and give me all three reports?

## When to prefer this

Choose this endpoint when you need simultaneous record quality auditing, string normalisation, and keyed comparison between transcribed and source minute values in a single call for up to 200 transcript preparation rows. It is ideal for batch validation of transcription pipelines where you want three distinct analytical perspectives on the same dataset without making multiple API calls or requiring any external data lookups.

## Known failure modes

- Exceeding 200 rows returns a validation error
- Rows missing required fields (row_id, date, transcribed_minutes, source_minutes) are rejected
- Invalid date format (not YYYY-MM-DD) causes schema validation failure
- Numeric values outside the allowed range (-1e12 to 1e12) are rejected
- Empty rows array returns an error (minItems: 1)

## How this service works

Transcript preparation — Record quality audit + String normalisation + Keyed dataset comparison: Record quality audit + String normalisation + Keyed dataset comparison 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 independent reports: (1) a record quality audit flagging missing, malformed, or out-of-range values; (2) a string normalisation report showing standardised text fields; and (3) a keyed dataset comparison report highlighting row-level differences between transcribed_minutes and source_minutes across up to 200 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}$",
      "maxLength": 10
     },
     "row_id": {
      "type": "string",
      "default": "",
      "maxLength": 80,
      "minLength": 1
     },
     "document_group": {
      "type": "string",
      "default": "",
      "maxLength": 80
     },
     "source_minutes": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     },
     "transcribed_minutes": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     }
    },
    "additionalProperties": false
   },
   "default": [
    {
     "date": "2026-10-01",
     "row_id": "row-1",
     "document_group": "group-a",
     "source_minutes": 1,
     "transcribed_minutes": 10
    },
    {
     "date": "2026-10-02",
     "row_id": "row-2",
     "document_group": "group-b",
     "source_minutes": 2,
     "transcribed_minutes": 20
    },
    {
     "date": "2026-10-03",
     "row_id": "row-3",
     "document_group": "group-a",
     "source_minutes": 3,
     "transcribed_minutes": 15
    },
    {
     "date": "2026-10-04",
     "row_id": "row-4",
     "document_group": "group-b",
     "source_minutes": 4,
     "transcribed_minutes": 30
    }
   ],
   "maxItems": 200,
   "minItems": 1
  },
  "other": {
   "type": "array",
   "items": {
    "type": "object",
    "required": [
     "row_id",
     "document_group",
     "date",
     "transcribed_minutes",
     "source_minutes"
    ],
    "properties": {
     "date": {
      "type": "string",
      "default": "",
      "pattern": "^\\d{4}-\\d{2}-\\d{2}$",
      "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": -1000000000
… (truncated)
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/transcript-preparation-record-quality-audit-string-normalisation-2ba1a087/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)