# Translation Delivery Analytics — String Normalisation & Date-by-Category Pivot

> Translation Delivery Analytics — String Normalisation & Date-by-Category Pivot 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).

Runs two local analytical reports on translation delivery data: string normalisation and a date-by-category pivot, for up to 200 rows of translated_words or source_words.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-writing-04-035?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-analytics-string-normalisation-date-by-category-0ab35c55
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_UetGmRC8fWDJfVUSsadJT

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-analytics-string-normalisation-date-by-category-0ab35c55 -d '<json body>'
```

Example prompt: I have 4 translation delivery records with document groups 'group-a' and 'group-b', dates from 2026-10-01 to 2026-10-04, and translated_words counts. Can you normalise the string fields and give me a date-by-category pivot of the translated_words field?

## When to prefer this

Choose this endpoint when you have up to 200 translation delivery records and need both string normalisation and a date-by-category pivot of word count data in a single low-cost call. It is ideal for offline/batch analytics on supplied data without needing external lookups or live data connections. Prefer it over general data tools when the specific combination of string normalisation and date pivot for translation delivery metrics is required.

## Known failure modes

- Input array exceeds 200 rows — request rejected
- Missing required fields (row_id, document_group, date, translated_words, source_words) — validation error
- Invalid date format (not YYYY-MM-DD) — schema validation failure
- Numeric field values outside allowed range — rejection
- Empty rows array — minimum items constraint violation

## How this service works

Translation delivery — String normalisation + Date by category pivot: String normalisation + Date by category pivot 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 reports: (1) string-normalised versions of the text fields in the supplied rows, and (2) a date-by-category pivot table aggregating the selected numeric field (translated_words or source_words) by date and document_group, covering up to 200 input rows.

## 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-analytics-string-normalisation-date-by-category-0ab35c55/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)