# Transcript Preparation: Record Quality Audit + String Normalisation + Grouped Numeric Summary

> Transcript Preparation: Record Quality Audit + String Normalisation + Grouped Numeric Summary 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 three local analytical reports on transcript preparation records — a data quality audit, string normalisation, and grouped numeric summary — for up to 200 rows of transcribed_minutes and source_minutes data.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-writing-12-194?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-string-normalisation-f46ddbf6
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_sHTp_ZElGgOcD1k0aI0WP

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-f46ddbf6 -d '<json body>'
```

Example prompt: Can you run the three-part transcript prep audit on my records — quality audit, string normalisation, and grouped numeric summary — for the transcribed_minutes field? I have about 50 rows across two document groups, dates from 2025-01-01 to 2025-03-31.

## When to prefer this

Choose this endpoint when you need three bundled analytical reports (quality audit, string normalisation, grouped numeric summary) on transcript preparation records in a single low-cost call. It is ideal for pre-processing or validating batches of transcription data (up to 200 rows) before ingestion into downstream pipelines. Prefer it over single-report endpoints when you need all three analyses simultaneously at $0.01 USDC per batch, and when you do not need live predictions, external lookups, or professional assessment.

## Known failure modes

- Fewer than 1 row or more than 200 rows submitted — request rejected
- Invalid date format (not YYYY-MM-DD) — validation error
- Missing required fields (row_id, document_group, date, transcribed_minutes, source_minutes) — schema error
- Numeric values outside allowed range (-1e12 to 1e12) — rejected
- Invalid field enum value — schema validation failure
- Payment not included or insufficient USDC — 402 payment required response

## How this service works

Transcript preparation — Record quality audit + String normalisation + Grouped numeric summary: Record quality audit + String normalisation + Grouped numeric summary 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 reports: (1) a record quality audit flagging missing, malformed, or out-of-range values; (2) string normalisation output cleaning the text fields; and (3) a grouped numeric summary of the selected measure (transcribed_minutes or source_minutes) broken down by document_group — all computed 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-f46ddbf6/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)