# Transformation Throughput Analytics — Trailing Mean Series + Two-Measure Correlation

> Transformation Throughput Analytics — Trailing Mean Series + 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 2026-10-28).

Computes a trailing moving average series and a Pearson/linear correlation between processed_rows and duration_seconds for supplied transformation throughput records, returning two analytical reports in one call.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-analytics-13-150?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/transformation-throughput-analytics-trailing-mean-series-two-measure-7f05ce3d
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_nZZHhwdIWJx7FWXCfLkGm

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 transformation-throughput-analytics-trailing-mean-series-two-measure-7f05ce3d -d '<json body>'
```

Example prompt: Can you run a trailing mean series with a window of 7 and a two-measure correlation on my transformation throughput data — here are my records with processed_rows and duration_seconds for each date and dataset group?

## When to prefer this

Choose this endpoint when you have transformation pipeline records with processed_rows and duration_seconds fields and need both a smoothed time series trend (trailing mean) and a linear correlation between the two numeric measures in a single API call at low cost ($0.01 USDC for both reports). Prefer this over general-purpose analytics tools when you want a cheap, self-contained statistical summary without external data lookup or prediction. It is ideal for offline/batch analytical review of ETL or data processing logs.

## Known failure modes

- Fewer than 2 rows supplied — minimum 1 row required but correlation requires at least 2 valid data points
- window parameter exceeds number of rows — trailing mean series may return nulls for early rows
- processed_rows or duration_seconds contains null values — correlation may be computed on reduced sample
- date field does not match YYYY-MM-DD pattern — validation error returned
- More than 200 rows submitted — request rejected with maxItems exceeded error
- Both measures have zero variance — correlation undefined or NaN returned

## How this service works

Transformation throughput — Trailing mean series + Two-measure correlation: Trailing mean series + Two-measure correlation for supplied transformation throughput records (processed_rows, duration_seconds). 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 trailing mean series over the specified window for the chosen field (processed_rows or duration_seconds), with a smoothed value per row in date order; and (2) a two-measure correlation statistic (e.g. Pearson r) between processed_rows and duration_seconds across the supplied dataset. Up to 200 rows supported per call.

## Request schema (JSON Schema)

```json
{
 "type": "object",
 "properties": {
  "rows": {
   "type": "array",
   "items": {
    "type": "object",
    "required": [
     "row_id",
     "dataset_group",
     "date",
     "processed_rows",
     "duration_seconds"
    ],
    "properties": {
     "date": {
      "type": "string",
      "default": "",
      "pattern": "^\\d{4}-\\d{2}-\\d{2}$",
      "maxLength": 10
     },
     "row_id": {
      "type": "string",
      "default": "",
      "maxLength": 80,
      "minLength": 1
     },
     "dataset_group": {
      "type": "string",
      "default": "",
      "maxLength": 80
     },
     "processed_rows": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     },
     "duration_seconds": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     }
    },
    "additionalProperties": false
   },
   "default": [
    {
     "date": "2026-10-01",
     "row_id": "row-1",
     "dataset_group": "group-a",
     "processed_rows": 10,
     "duration_seconds": 1
    },
    {
     "date": "2026-10-02",
     "row_id": "row-2",
     "dataset_group": "group-b",
     "processed_rows": 20,
     "duration_seconds": 2
    },
    {
     "date": "2026-10-03",
     "row_id": "row-3",
     "dataset_group": "group-a",
     "processed_rows": 15,
     "duration_seconds": 3
    },
    {
     "date": "2026-10-04",
     "row_id": "row-4",
     "dataset_group": "group-b",
     "processed_rows": 30,
     "duration_seconds": 4
    }
   ],
   "maxItems": 200,
   "minItems": 1
  },
  "field": {
   "enum": [
    "processed_rows",
    "duration_seconds"
   ],
   "type": "string",
   "default": "processed_rows"
  },
  "window": {
   "type": "integer",
   "default": 2,
   "maximum": 200,
   "minimum": 2
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/transformation-throughput-analytics-trailing-mean-series-two-measure-7f05ce3d/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)