# Interview Transcripts — String Normalisation + Base-100 Series

> Interview Transcripts — String Normalisation + Base-100 Series 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).

Performs string normalisation and Base-100 indexing analysis on up to 200 rows of interview transcript data (transcript_words and audio_minutes), returning two analytical reports.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-news-12-030?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/interview-transcripts-string-normalisation-base-100-series-6d91c3be
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_5L4rGFxkKcvEwdbyxb9-W

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-string-normalisation-base-100-series-6d91c3be -d '<json body>'
```

Example prompt: Can you run a string normalisation and Base-100 series report on my interview transcript data? I have 4 rows: row-1 on 2026-10-01 (group-a, 1500 transcript_words, 12 audio_minutes), row-2 on 2026-10-02 (group-b, 2200 words, 18 minutes), row-3 on 2026-10-03 (group-a, 1800 words, 15 minutes), row-4 on 2026-10-04 (group-b, 3000 words, 25 minutes) — use transcript_words as the field and row index 0 as the base.

## When to prefer this

Choose this endpoint when you have up to 200 rows of interview transcript records and need both string normalisation and Base-100 indexed series computed together in a single cost-effective call ($0.01 USDC for both reports). Ideal for offline/batch analytical workflows where no live data lookup, prediction, or external enrichment is needed — purely local computation on your supplied data.

## Known failure modes

- Empty or missing rows array returns a validation error
- Rows array exceeding 200 items is rejected
- Invalid date format (not YYYY-MM-DD) causes schema validation failure
- Null values for both transcript_words and audio_minutes in all rows may yield degenerate output
- base_index referencing a non-existent row position causes an out-of-range error
- Unsupported field enum value causes schema rejection

## How this service works

Interview transcripts — String normalisation + Base-100 series: String normalisation + Base-100 series 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

Returns two analytical reports: (1) a string normalisation report standardising transcript metric values across supplied rows, and (2) a Base-100 index series for the chosen field (transcript_words or audio_minutes), rebased to the specified row index. All processing is performed 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"
  },
  "base_index": {
   "type": "integer",
   "default": 0,
   "maximum": 199,
   "minimum": 0
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/interview-transcripts-string-normalisation-base-100-series-6d91c3be/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)