# Translation Delivery Analytics — Base-100 Series & Date-by-Category Pivot

> Translation Delivery Analytics — Base-100 Series & 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 2026-10-28).

Computes a Base-100 indexed time series and a date-by-category pivot table for translation delivery records (translated_words, source_words) from up to 200 supplied rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-writing-04-167?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-28
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/translation-delivery-analytics-base-100-series-date-by-category-pivot-e28c0a75
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_bBhkWzvVRjn-KglXY_diN

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-base-100-series-date-by-category-pivot-e28c0a75 -d '<json body>'
```

Example prompt: I have translation delivery records for October with document groups 'legal' and 'marketing' — can you run a base-100 series and a date-by-category pivot on the translated_words field, using row index 0 as the base, for all 120 rows I'm uploading?

## When to prefer this

Choose this endpoint when you have up to 200 rows of translation delivery records and need both a time-indexed Base-100 normalization and a date-by-category pivot in a single low-cost call. It is ideal for localization teams tracking translation throughput over time relative to a baseline date, and for comparing document group performance without setting up a BI tool. At $0.01 USDC for two reports, it is cost-effective for lightweight analytical tasks on supplied data with no need for live data lookup or prediction.

## Known failure modes

- Fewer than 1 row supplied — request rejected
- More than 200 rows supplied — exceeds max row limit
- Invalid date format (not YYYY-MM-DD) — schema validation failure
- base_index out of range (>=row count) — index error
- Null values in the selected metric field may affect Base-100 calculation
- Missing required fields (row_id, document_group, date) — validation error

## How this service works

Translation delivery — Base-100 series + Date by category pivot: Base-100 series + 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

Returns two analytical reports: (1) a Base-100 indexed time series showing relative movement of the chosen field (translated_words or source_words) compared to a reference row, and (2) a date-by-category pivot table breaking down the same field by document_group and date — all computed locally from the supplied rows, no external data fetched.

## 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"
  },
  "base_index": {
   "type": "integer",
   "default": 0,
   "maximum": 199,
   "minimum": 0
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/translation-delivery-analytics-base-100-series-date-by-category-pivot-e28c0a75/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)