# Configuration Drift — String Normalisation + Trailing Mean Series

> Configuration Drift — String Normalisation + Trailing Mean Series is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-31).

Runs two analytical reports on configuration drift data: string normalisation of setting names and a trailing mean time series over checked or drifted settings values.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-security-22-028?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-31
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/configuration-drift-string-normalisation-trailing-mean-series-b7f7af04
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_uZxlJoVdVaZkrFU5m6_l5

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 configuration-drift-string-normalisation-trailing-mean-series-b7f7af04 -d '<json body>'
```

Example prompt: Can you run string normalisation and a trailing mean series with a window of 4 on my configuration drift records — I have rows with checked_settings and drifted_settings values across two control groups from 2026-10-01 to 2026-10-04, and I want the trailing mean computed on the checked_settings field?

## When to prefer this

Choose this endpoint when you have tabular configuration drift records with dated rows, numeric setting values, and control group labels, and need both label normalisation and a rolling mean trend in a single low-cost call. It is best suited for batch offline analysis of up to 200 rows when no live lookup, prediction, or external system access is required. At $0.01 USDC for two reports, it is cost-efficient for regular drift audits or sprint retrospectives.

## Known failure modes

- Fewer than 1 row submitted — validation error
- More than 200 rows submitted — rejected at input limit
- Invalid date format (not YYYY-MM-DD) — schema validation failure
- Null or out-of-range numeric values exceeding ±1,000,000,000,000 — rejected
- Window size smaller than 2 or larger than 200 — validation error
- Missing required fields (row_id, control_group, date) — schema error
- Field enum value not 'checked_settings' or 'drifted_settings' — rejection

## How this service works

Configuration drift — String normalisation + Trailing mean series: String normalisation + Trailing mean series for supplied configuration drift records (checked_settings, drifted_settings). 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 independent analytical reports sharing the same input dataset: (1) a string normalisation report over configuration setting labels, and (2) a trailing mean time series computed over the selected numeric field (checked_settings or drifted_settings) using the specified rolling window, covering up to 200 input rows organised by control group and date.

## Request schema (JSON Schema)

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

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/configuration-drift-string-normalisation-trailing-mean-series-b7f7af04/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)