# Registry Snapshots — Trailing Mean Series + IQR Outlier Flags

> Registry Snapshots — Trailing Mean Series + 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 2026-10-15).

Computes trailing moving-average time series and IQR-based outlier flags for registry snapshot data (registered_entities and changed_entities fields) across up to 200 rows, producing two independent analytical reports.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-company-04-149?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/registry-snapshots-trailing-mean-series-iqr-outlier-flags-86c0454b
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_9qPlru0yoMZLkJabpmKDE

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 registry-snapshots-trailing-mean-series-iqr-outlier-flags-86c0454b -d '<json body>'
```

Example prompt: Run a trailing mean and IQR outlier analysis on my registry snapshot data — I have 50 rows with company_group, date, registered_entities, and changed_entities fields, and I want to analyze the registered_entities field with a window size of 5.

## When to prefer this

Choose this endpoint when you have registry snapshot tabular data (up to 200 rows) and need both a rolling/trailing mean time series and IQR-based outlier detection in a single call for either registered_entities or changed_entities. It is ideal for lightweight statistical QA of corporate entity registration records without needing a full analytics platform. Prefer this over generic statistics APIs when your data is structured specifically around company groups and dated registry events.

## Known failure modes

- Fewer than 1 row submitted — minimum row count not met
- More than 200 rows submitted — exceeds maximum limit
- Invalid date format (must match YYYY-MM-DD pattern)
- Window size exceeds number of rows — insufficient data for trailing mean
- Missing required fields (row_id, company_group, date) on any row
- Numeric values outside allowed range (±1,000,000,000,000)
- Invalid field enum value — must be 'registered_entities' or 'changed_entities'
- Payment of 0.01 USDC not provided or declined

## How this service works

Registry snapshots — Trailing mean series + IQR outlier flags: Trailing mean series + IQR outlier flags for supplied registry snapshots records (registered_entities, changed_entities). 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 per call: (1) a trailing mean time series computed over the specified window for the chosen field (registered_entities or changed_entities), and (2) IQR-based outlier flags identifying rows whose values fall outside the interquartile range bounds — all derived purely from the supplied data rows, no external lookups.

## Request schema (JSON Schema)

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

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/registry-snapshots-trailing-mean-series-iqr-outlier-flags-86c0454b/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)