# Interview Transcripts Numeric Distribution and Missing Value Fill

> Interview Transcripts Numeric Distribution and 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 2026-10-30).

Computes numeric distribution statistics and fills missing values for interview transcript records (transcript_words, audio_minutes) across up to 200 rows, returning two analytical reports.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-news-12-085?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-30
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/interview-transcripts-numeric-distribution-and-missing-value-fill-02aeb4ea
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_Twp06agFI4VOUquTx78zf

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 interview-transcripts-numeric-distribution-and-missing-value-fill-02aeb4ea -d '<json body>'
```

Example prompt: Analyze the distribution of transcript_words and fill any missing audio_minutes values using the median method for these 5 interview transcript rows: row-1 (group-a, 2026-10-01, 1200 words, 4.5 min), row-2 (group-b, 2026-10-02, null words, 3.2 min), row-3 (group-a, 2026-10-03, 980 words, null min), row-4 (group-b, 2026-10-04, 1500 words, 6.1 min), row-5 (group-a, 2026-10-05, 1100 words, 5.0 min).

## When to prefer this

Choose this endpoint when you have tabular interview transcript data with up to 200 rows and need both a statistical distribution summary and missing-value imputation for numeric fields (transcript_words or audio_minutes) in a single low-cost call. Ideal for pre-processing steps before downstream ML or reporting pipelines where data completeness and distributional awareness are needed together. Not suitable for live transcription, prediction, real-time audio analysis, or datasets exceeding 200 rows.

## Known failure modes

- More than 200 rows submitted — request rejected due to maxItems constraint
- Invalid date format (not YYYY-MM-DD) causes schema validation failure
- Missing required fields (row_id, channel_group, date) causes row rejection
- Field enum value not in ['transcript_words','audio_minutes'] causes error
- Method enum not in ['zero','mean','median'] causes error
- All values null for chosen field may produce degenerate distribution report
- Numeric values outside ±1e12 range rejected by schema

## How this service works

Interview transcripts — Numeric distribution + Explicit missing-value fill: Numeric distribution + Explicit missing-value fill for supplied interview transcripts records (transcript_words, audio_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 per call: (1) a numeric distribution report showing statistics (e.g. min, max, mean, median, percentiles) for the specified field across up to 200 rows, and (2) a missing-value fill report with null values in the target field replaced by the chosen method (zero, mean, or median), all computed locally without external lookups.

## Request schema (JSON Schema)

```json
{
 "type": "object",
 "properties": {
  "rows": {
   "type": "array",
   "items": {
    "type": "object",
    "required": [
     "row_id",
     "channel_group",
     "date",
     "transcript_words",
     "audio_minutes"
    ],
    "properties": {
     "date": {
      "type": "string",
      "default": "",
      "pattern": "^\\d{4}-\\d{2}-\\d{2}$",
      "maxLength": 10
     },
     "row_id": {
      "type": "string",
      "default": "",
      "maxLength": 80,
      "minLength": 1
     },
     "audio_minutes": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     },
     "channel_group": {
      "type": "string",
      "default": "",
      "maxLength": 80
     },
     "transcript_words": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     }
    },
    "additionalProperties": false
   },
   "default": [
    {
     "date": "2026-10-01",
     "row_id": "row-1",
     "audio_minutes": 1,
     "channel_group": "group-a",
     "transcript_words": 10
    },
    {
     "date": "2026-10-02",
     "row_id": "row-2",
     "audio_minutes": 2,
     "channel_group": "group-b",
     "transcript_words": 20
    },
    {
     "date": "2026-10-03",
     "row_id": "row-3",
     "audio_minutes": 3,
     "channel_group": "group-a",
     "transcript_words": 15
    },
    {
     "date": "2026-10-04",
     "row_id": "row-4",
     "audio_minutes": 4,
     "channel_group": "group-b",
     "transcript_words": 30
    }
   ],
   "maxItems": 200,
   "minItems": 1
  },
  "field": {
   "enum": [
    "transcript_words",
    "audio_minutes"
   ],
   "type": "string",
   "default": "transcript_words"
  },
  "method": {
   "enum": [
    "zero",
    "mean",
    "median"
   ],
   "type": "string",
   "default": "median"
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/interview-transcripts-numeric-distribution-and-missing-value-fill-02aeb4ea/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)