# Transcript Preparation — Two-Measure Correlation + Explicit Missing-Value Fill

> Transcript Preparation — Two-Measure Correlation + 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 Pearson correlation between transcribed_minutes and source_minutes, and fills missing values in a chosen field using zero, mean, or median imputation — across up to 200 transcript preparation rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-writing-12-184?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-two-measure-correlation-explicit-missing-value-18194193
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_vSn2FHlqzXFiEfNpWPQZC

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-two-measure-correlation-explicit-missing-value-18194193 -d '<json body>'
```

Example prompt: I have up to 200 transcript preparation records with transcribed_minutes and source_minutes — can you run a two-measure correlation between those two fields and also fill any missing transcribed_minutes values using the median?

## When to prefer this

Choose this endpoint when you have tabular transcript preparation data with transcribed_minutes and source_minutes columns and need both a statistical correlation check and missing-value imputation in a single low-cost call. It is ideal for batch QA workflows on transcription pipelines where you want to validate how closely transcribed durations mirror source audio lengths while also cleaning null entries — all without sending data to an external live service.

## Known failure modes

- Fewer than 1 row supplied — request rejected
- More than 200 rows supplied — exceeds batch limit
- Invalid date format not matching YYYY-MM-DD pattern — validation error
- Non-numeric values in transcribed_minutes or source_minutes — schema rejection
- All values in both columns are null — correlation cannot be computed
- Invalid method enum value (not zero/mean/median) — rejected
- Invalid field enum value (not transcribed_minutes/source_minutes) — rejected

## How this service works

Transcript preparation — Two-measure correlation + Explicit missing-value fill: Two-measure correlation + 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 independent analytical reports: (1) a Pearson correlation coefficient between the transcribed_minutes and source_minutes columns across all valid rows, and (2) the dataset with missing values in the specified field replaced using the chosen imputation method (zero, mean, or median). Both reports are 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"
  },
  "method": {
   "enum": [
    "zero",
    "mean",
    "median"
   ],
   "type": "string",
   "default": "median"
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/transcript-preparation-two-measure-correlation-explicit-missing-value-18194193/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)