# Translation Delivery Analytics — Trailing Mean Series + Adjacent Row Changes

> Translation Delivery Analytics — Trailing Mean Series + Adjacent Row Changes 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 trailing moving-average series and adjacent row-to-row change analysis for translation delivery records (translated_words, source_words) over up to 200 rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-writing-04-146?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-trailing-mean-series-adjacent-row-93d326ca
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_Pbwh5kMOSGtUMXM7-trhK

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-trailing-mean-series-adjacent-row-93d326ca -d '<json body>'
```

Example prompt: I have 8 rows of translation delivery data with dates, document groups, translated_words, and source_words — can you run a trailing mean series with a window of 3 and adjacent row changes on the translated_words field?

## When to prefer this

Choose this endpoint when you have translation delivery records and need quick statistical summaries — specifically trailing moving averages and adjacent row deltas — without needing predictions, external data enrichment, or professional assessment. Ideal for small to medium datasets (up to 200 rows) where you want two complementary time-series analytics in a single low-cost call.

## Known failure modes

- Fewer than 1 or more than 200 rows submitted — validation error
- Invalid date format (must be YYYY-MM-DD) — schema validation failure
- Window size larger than the number of submitted rows — may produce sparse or empty series
- Missing required fields (row_id, document_group, date) — request rejected
- Non-numeric values in translated_words or source_words fields — parsing error
- Invalid field enum value (must be 'translated_words' or 'source_words') — rejected

## How this service works

Translation delivery — Trailing mean series + Adjacent row changes: Trailing mean series + Adjacent row changes 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 for the supplied data: (1) a trailing moving-average series computed over the selected field (translated_words or source_words) using the specified window size, and (2) an adjacent row change series showing the difference between consecutive rows. Both reports are derived locally from the submitted 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
  },
  "field": {
   "enum": [
    "translated_words",
    "source_words"
   ],
   "type": "string",
   "default": "translated_words"
  },
  "window": {
   "type": "integer",
   "default": 2,
   "maximum": 200,
   "minimum": 2
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/translation-delivery-analytics-trailing-mean-series-adjacent-row-93d326ca/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)