# Contact Record Quality — Trailing Mean Series + Adjacent Row Changes

> Contact Record Quality — 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 2026-10-15).

Computes trailing moving-average time series and adjacent-row change analysis for contact record quality metrics (checked_records, duplicate_records) across up to 200 rows, returning two independent analytical reports.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-company-03-146?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-15
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/contact-record-quality-trailing-mean-series-adjacent-row-changes-3e80cb1c
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_5vcljkMH22SLjkz36iQjJ

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 contact-record-quality-trailing-mean-series-adjacent-row-changes-3e80cb1c -d '<json body>'
```

Example prompt: Can you run a trailing mean series and adjacent row change analysis on our contact record quality data — here are 50 rows with row_id, company_group, date, checked_records, and duplicate_records — use a window size of 5 and analyze the checked_records field?

## When to prefer this

Choose this endpoint when you have tabular contact record quality data (checked_records and duplicate_records) already in hand and need both a rolling/trailing mean time series and adjacent row delta analysis in a single call for up to 200 rows. It is ideal for offline or batch analytical workflows where no live data lookup, external enrichment, or prediction is needed — just local statistical computation on supplied rows. At $0.01 USDC for two reports covering up to 200 rows, it is cost-efficient for routine data quality auditing pipelines.

## Known failure modes

- Fewer than 1 or more than 200 rows supplied — rejected with validation error
- Invalid date format (not YYYY-MM-DD) causes row rejection or error
- Window size smaller than 2 or larger than number of rows produces limited or empty trailing mean output
- Missing required fields (row_id, date, company_group, checked_records, duplicate_records) cause row-level errors
- Null values in the selected metric field may result in gaps or NaN entries in the output series
- Invalid field enum value (not checked_records or duplicate_records) returns validation error

## How this service works

Contact record quality — Trailing mean series + Adjacent row changes: Trailing mean series + Adjacent row changes for supplied contact record quality records (checked_records, duplicate_records). 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

Two independent analytical reports: (1) a trailing mean series showing rolling averages of the selected metric (checked_records or duplicate_records) over the specified window size per row, and (2) an adjacent row changes report showing the difference between consecutive rows for the same metric — both computed locally on the supplied data up to 200 rows.

## Request schema (JSON Schema)

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

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/contact-record-quality-trailing-mean-series-adjacent-row-changes-3e80cb1c/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)