# Transcript Preparation — Duplicate Key Report + Adjacent Row Changes

> Transcript Preparation — Duplicate Key Report + 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 2026-10-29).

Analyzes transcript preparation records to produce two local analytical reports: a duplicate key report and an adjacent row change report for transcribed_minutes or source_minutes.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-writing-12-062?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-duplicate-key-report-adjacent-row-changes-1378422d
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_jrzmC1fDtk1HWchg-qaDP

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-duplicate-key-report-adjacent-row-changes-1378422d -d '<json body>'
```

Example prompt: Check my transcript preparation records for duplicate row IDs and adjacent row changes in transcribed_minutes — I have up to 50 rows with fields row_id, document_group, date, transcribed_minutes, and source_minutes, and I want both reports back.

## When to prefer this

Use this endpoint when you have transcript preparation records (with transcribed_minutes and source_minutes fields) and need fast, local duplicate-key detection plus adjacent row change analysis in a single low-cost call. It is purpose-built for transcription data schemas and bundles two complementary audit reports for $0.01. Prefer it over generic data-quality tools when your records conform to the row_id / document_group / date / transcribed_minutes / source_minutes schema and you need both deduplication and sequential change detection without sending data to external prediction or lookup services.

## Known failure modes

- Input array is empty (minItems:1 violated) — validation error
- More than 200 rows submitted — rejected with maxItems error
- row_id missing or empty string — schema validation failure
- date field does not match YYYY-MM-DD pattern — rejected
- Invalid field enum value (not 'transcribed_minutes' or 'source_minutes') — schema error
- Malformed JSON body — parse error
- Payment not included or insufficient — x402 payment required response

## How this service works

Transcript preparation — Duplicate key report + Adjacent row changes: Duplicate key report + Adjacent row changes 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

Two independent analytical reports: (1) a duplicate key report listing any row_ids (and related fields) that appear more than once in the submitted dataset, and (2) an adjacent row changes report showing where the selected field (transcribed_minutes or source_minutes) changes between consecutive rows — all computed locally on the supplied data, 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-duplicate-key-report-adjacent-row-changes-1378422d/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)