# Transcript Preparation — Numeric Distribution + Explicit Missing-Value Fill

> Transcript Preparation — Numeric Distribution + 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 2026-10-26).

Computes numeric distribution statistics and fills missing values (zero, mean, or median) for up to 200 rows of transcript timing data (transcribed_minutes, source_minutes), returning two analytical reports.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-writing-12-085?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-numeric-distribution-explicit-missing-value-fill-34db0246
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_LXomYvg_Mg_ZzCPEc9T4G

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-numeric-distribution-explicit-missing-value-fill-34db0246 -d '<json body>'
```

Example prompt: Can you analyze the numeric distribution and fill any missing transcribed_minutes values using median imputation for my transcript batch? 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 a numeric distribution summary and explicit missing-value imputation for transcript timing fields (transcribed_minutes or source_minutes) in a single $0.01 call covering up to 200 rows. Ideal for data preparation pipelines that must handle nulls before downstream analytics. Prefer it over general-purpose stats tools when working specifically with transcript preparation records and needing two coordinated reports (distribution + fill) in one round-trip without any live lookups or external dependencies.

## Known failure modes

- Rows array exceeds 200 items — request rejected or truncated
- Invalid date format (not YYYY-MM-DD) — validation error
- Unknown fill method or field enum value — schema validation failure
- All values missing for chosen field — mean/median fill may be undefined or return zero
- Empty rows array — no output generated
- row_id missing or exceeding 80 characters — row rejected

## How this service works

Transcript preparation — Numeric distribution + Explicit missing-value fill: Numeric distribution + 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

Two analytical reports: (1) a numeric distribution report covering statistics such as min, max, mean, median, and spread for the chosen field across up to 200 rows; (2) a missing-value fill report showing which rows had nulls replaced and what values were substituted, using the specified fill method (zero, mean, or median). No external lookups or predictions are made; analysis is performed locally on the supplied data.

## 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-numeric-distribution-explicit-missing-value-fill-34db0246/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)