# Transcript Preparation — IQR Outlier Flags + Explicit Missing-Value Fill

> Transcript Preparation — IQR Outlier Flags + Explicit Missing-Value Fill 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).

Analyzes transcript preparation records (transcribed_minutes, source_minutes) to flag IQR-based outliers and fill missing values using a chosen method, producing two analytical reports for up to 200 rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-writing-12-180?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-iqr-outlier-flags-explicit-missing-value-fill-74eeec6c
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_Q5V2V5F1GlNl3RPPp6waP

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-iqr-outlier-flags-explicit-missing-value-fill-74eeec6c -d '<json body>'
```

Example prompt: Can you check my transcript preparation records for IQR outliers and fill any missing transcribed_minutes values using the median? Here are my rows: row-1 group-a 2026-10-01 transcribed=10 source=1, row-2 group-b 2026-10-02 transcribed=null source=2, row-3 group-a 2026-10-03 transcribed=15 source=3.

## When to prefer this

Choose this endpoint when you need both IQR-based outlier detection and missing-value imputation on transcript preparation data (transcribed_minutes, source_minutes) in a single low-cost call. It is ideal for data cleaning pipelines processing up to 200 rows of transcription records where no external data, predictions, or live lookups are needed. Prefer it over general-purpose analytics when you specifically want two co-generated reports (outlier flags + fill) on transcription minute fields within a flat-rate $0.01 USDC charge.

## Known failure modes

- More than 200 rows submitted — request rejected
- Missing required fields (row_id, date, transcribed_minutes, source_minutes) — validation error
- Invalid date format (not YYYY-MM-DD) — schema validation failure
- Invalid method enum value (not zero/mean/median) — rejected
- Invalid field enum value (not transcribed_minutes/source_minutes) — rejected
- Empty rows array — rejected
- Non-numeric values in numeric fields — schema error

## How this service works

Transcript preparation — IQR outlier flags + Explicit missing-value fill: IQR outlier flags + Explicit missing-value fill 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 per call: (1) an IQR outlier flags report identifying which rows contain statistical outliers in the specified field, and (2) an explicit missing-value fill report showing which null entries were filled and with what imputed value (zero, mean, or median). Both reports are computed locally on the supplied data 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"
  },
  "method": {
   "enum": [
    "zero",
    "mean",
    "median"
   ],
   "type": "string",
   "default": "median"
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/transcript-preparation-iqr-outlier-flags-explicit-missing-value-fill-74eeec6c/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)