# Transcript Preparation Analytics — Trailing Mean Series + Date by Category Pivot

> Transcript Preparation Analytics — Trailing Mean Series + Date by Category Pivot 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 two analytical reports on transcript preparation data: a trailing mean time series and a date-by-category pivot table, for up to 200 rows of transcribed/source minutes records.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-writing-12-152?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-analytics-trailing-mean-series-date-by-6790ed61
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_x8xiprgvuJEecTd1EoTVe

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-analytics-trailing-mean-series-date-by-6790ed61 -d '<json body>'
```

Example prompt: Can you run a trailing mean series and date-by-category pivot on my transcript preparation records? I have up to 50 rows with transcribed_minutes and source_minutes fields, grouped by document_group, and I want a rolling window of 3.

## When to prefer this

Choose this endpoint when you need both a rolling/trailing mean time series AND a date-by-category pivot on transcript preparation data (transcribed_minutes, source_minutes) in a single cost-efficient call. It is ideal for small-to-medium datasets (up to 200 rows) where you want local, deterministic analytics without any external lookups or predictions. Best when document_group and date dimensions are present in your records.

## Known failure modes

- Input array exceeds 200 rows — request rejected
- Invalid date format (must be YYYY-MM-DD) — validation error
- Missing required fields (row_id, document_group, date, transcribed_minutes, source_minutes) — schema error
- Window size outside range 2–200 — validation error
- Empty rows array — rejected
- Numeric values outside allowed range — rejected

## How this service works

Transcript preparation — Trailing mean series + Date by category pivot: Trailing mean series + Date by category pivot 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

Returns two analytical reports: (1) a trailing mean time series computed over the specified rolling window for the chosen field (transcribed_minutes or source_minutes), and (2) a date-by-category pivot table breaking down values by date and document_group — all derived locally from the supplied rows 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"
  },
  "window": {
   "type": "integer",
   "default": 2,
   "maximum": 200,
   "minimum": 2
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/transcript-preparation-analytics-trailing-mean-series-date-by-6790ed61/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)