# Translation Delivery Analytics — Category Frequencies + Two-Measure Correlation

> Translation Delivery Analytics — Category Frequencies + Two-Measure Correlation is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-26).

Computes category frequencies and Pearson/rank correlation between translated_words and source_words for up to 200 translation delivery records, returning two analytical reports.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-writing-04-108?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-26
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/translation-delivery-analytics-category-frequencies-two-measure-e75bb31f
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_iTVuBlxSbU2pYS5PK6UV0

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-category-frequencies-two-measure-e75bb31f -d '<json body>'
```

Example prompt: I have 150 translation delivery records with document groups like 'legal' and 'marketing', each with a date, source word count, and translated word count — can you run category frequency analysis and compute the correlation between source_words and translated_words across all rows?

## When to prefer this

Choose this endpoint when you have a batch of translation delivery records (up to 200 rows) and need both a category frequency breakdown by document group and a statistical correlation between source and translated word counts in a single $0.01 call. Prefer it over general-purpose analytics tools when you want two pre-packaged reports from supplied data with no external dependencies, real-time lookups, or predictions.

## Known failure modes

- Rows array empty or missing — validation error returned
- More than 200 rows submitted — request rejected with maxItems violation
- Missing required fields (row_id, date, document_group, translated_words, source_words) in any row — schema validation failure
- Date field not matching YYYY-MM-DD pattern — format validation error
- Numeric fields out of allowed range (±1,000,000,000,000) — schema rejection
- All source_words or translated_words values are null — correlation cannot be computed
- Payment of 0.01 USDC not included or rejected — 402 response

## How this service works

Translation delivery — Category frequencies + Two-measure correlation: Category frequencies + Two-measure correlation 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

Returns two analytical reports: (1) a category frequency table showing how often each document_group value appears across the submitted rows, and (2) a two-measure correlation report quantifying the statistical relationship between translated_words and source_words across the dataset. Both reports are computed locally from the supplied data with no external lookups.

## 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
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/translation-delivery-analytics-category-frequencies-two-measure-e75bb31f/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)