# Interview Transcripts — Exact Row Deduplication + Explicit Missing-Value Fill

> Interview Transcripts — Exact Row Deduplication + 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 2026-10-25).

Deduplicates exact duplicate rows and fills missing values in interview transcript datasets (transcript_words, audio_minutes), returning two analytical reports for up to 200 rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-news-12-054?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-25
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/interview-transcripts-exact-row-deduplication-explicit-missing-value-4e9baad0
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_HgGbCKRfc7DKNJSh60dMb

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-exact-row-deduplication-explicit-missing-value-4e9baad0 -d '<json body>'
```

Example prompt: Can you clean up my interview transcript dataset by removing exact duplicate rows and filling in missing transcript_words values using the median — here are my records with row_id, channel_group, date, transcript_words, and audio_minutes fields, up to 150 rows?

## When to prefer this

Choose this endpoint when you have interview transcript tabular data (up to 200 rows) that needs both exact duplicate row removal and missing-value imputation in a single call, and you want two structured analytical reports. Prefer this over general-purpose data cleaning tools when your data specifically contains transcript_words and audio_minutes fields organized by channel_group and date. Best suited for lightweight, local, offline-style cleaning without any external API calls or predictions.

## Known failure modes

- More than 200 rows submitted — request will be rejected or truncated
- Invalid date format (not YYYY-MM-DD) causes row validation failure
- Unknown fill method enum value causes request rejection
- Empty rows array returns an error
- Numeric values outside allowed range cause validation errors

## How this service works

Interview transcripts — Exact row deduplication + Explicit missing-value fill: Exact row deduplication + 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 independent analytical reports covering: (1) exact row deduplication results showing which rows were removed and the deduplicated dataset, and (2) explicit missing-value fill results showing which cells were imputed and the filled values for the target field (transcript_words or audio_minutes) using the chosen method (zero, mean, or median). All processing is done locally with no 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-exact-row-deduplication-explicit-missing-value-4e9baad0/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)