# Translation Delivery Analytics — Adjacent Row Changes & IQR Outlier Flags

> Translation Delivery Analytics — Adjacent Row Changes & 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 2026-10-26).

Analyzes translation delivery records by computing adjacent row-to-row changes and flagging IQR-based outliers for translated_words or source_words across up to 200 rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-writing-04-157?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-adjacent-row-changes-iqr-outlier-flags-f56b6087
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_G3ijgaufEyieNcQVR3V3h

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-adjacent-row-changes-iqr-outlier-flags-f56b6087 -d '<json body>'
```

Example prompt: Can you check my translation delivery records for unusual jumps and outliers? I have data for rows like row-1 through row-50 across document groups 'legal' and 'marketing' with dates from 2025-01-01 to 2025-03-31 — run both the adjacent row change and IQR outlier reports on the translated_words field.

## When to prefer this

Choose this endpoint when you need lightweight, local statistical analysis of translation delivery records without any external data enrichment or ML predictions. Ideal for auditing word count time series for anomalies (IQR outliers) and sequential volatility (adjacent row changes) in a single low-cost call. Best suited for datasets up to 200 rows where both outlier flagging and change detection are needed simultaneously.

## Known failure modes

- Fewer than 1 or more than 200 rows supplied — 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
- field enum value not 'translated_words' or 'source_words' — rejected
- Null values in the selected numeric field may affect IQR and delta calculations

## How this service works

Translation delivery — Adjacent row changes + IQR outlier flags: Adjacent row changes + 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

Returns two analytical reports: (1) adjacent row-to-row changes for the selected field (translated_words or source_words), showing delta values between consecutive records; and (2) IQR-based outlier flags identifying rows whose values fall outside the interquartile range bounds. 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
  },
  "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-adjacent-row-changes-iqr-outlier-flags-f56b6087/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)