# Translation Delivery String Normalisation and IQR Outlier Flags

> Translation Delivery String Normalisation and IQR Outlier Flags is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-29).

Normalises string fields and flags IQR-based outliers in translation delivery records (translated_words, source_words) for up to 200 rows, returning two analytical reports.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-writing-04-032?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-29
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/translation-delivery-string-normalisation-and-iqr-outlier-flags-f04d6dbf
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_hq_SPkmsdZnOjSaLigZs7

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 translation-delivery-string-normalisation-and-iqr-outlier-flags-f04d6dbf -d '<json body>'
```

Example prompt: Can you run string normalisation and IQR outlier detection on my translation delivery records — I have up to 50 rows with row_id, document_group, date, translated_words, and source_words fields, and I want to analyse the translated_words column?

## When to prefer this

Choose this endpoint when you need lightweight, local statistical analysis of translation delivery records — specifically IQR outlier detection and string normalisation — without requiring external lookups, live predictions, or professional linguistic assessment. Ideal for auditing translation vendor invoices, QA-checking localization batches, or detecting anomalous word counts in up to 200 rows for $0.01 USDC per call.

## Known failure modes

- Input array exceeds 200 rows — request will be rejected
- Missing required fields (row_id, document_group, date, translated_words, source_words) cause validation errors
- Invalid date format (must be YYYY-MM-DD) triggers schema rejection
- Numeric values outside allowed range (-1,000,000,000,000 to 1,000,000,000,000) are rejected
- Too few rows to compute a meaningful IQR may produce degenerate outlier flags
- Invalid field enum value (not translated_words or source_words) causes an error

## How this service works

Translation delivery — String normalisation + IQR outlier flags: String normalisation + IQR outlier flags for supplied translation delivery records (translated_words, source_words). 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: one covering string normalisation of the supplied translation delivery fields (document_group and related string columns) and one covering IQR-based outlier flags for the chosen numeric field (translated_words or source_words) across up to 200 rows, with per-row outlier annotations derived from local statistical computation.

## Request schema (JSON Schema)

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

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/translation-delivery-string-normalisation-and-iqr-outlier-flags-f04d6dbf/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)