# Record Routing — Trailing Mean Series + IQR Outlier Flags

> Record Routing — 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 mean time series and IQR-based outlier flags for accepted_records and rejected_records fields in supplied record routing data (up to 200 rows, 2 reports per call).

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-analytics-19-149?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/record-routing-trailing-mean-series-iqr-outlier-flags-4c30c89b
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_iv1F93bb5xlYr0uR64cQD

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 record-routing-trailing-mean-series-iqr-outlier-flags-4c30c89b -d '<json body>'
```

Example prompt: Analyze my record routing data for the last 30 days — compute the trailing mean series and flag any IQR outliers in the accepted_records field using a window of 7, for groups alpha and beta across these 50 rows.

## When to prefer this

Choose this endpoint when you need lightweight, local statistical analysis — specifically trailing mean smoothing and IQR-based anomaly detection — on record routing metrics (accepted vs. rejected counts) without any external data lookups or predictions. Ideal for ETL monitoring, data quality auditing, and pipeline health checks where you supply your own time-series rows and want two computed reports cheaply ($0.01 USDC). Not suitable if you need forecasting, external data enrichment, or more than 200 rows per call.

## Known failure modes

- Fewer than 1 row supplied — minimum 1 row required
- More than 200 rows submitted — exceeds maxItems limit
- Invalid date format (must match YYYY-MM-DD pattern)
- Window size outside range 2–200 causes validation error
- Missing required fields (row_id, dataset_group, date, accepted_records, rejected_records) causes rejection
- Numeric values outside ±1,000,000,000,000 range fail schema validation
- Payment of 0.01 USDC not attached or declined — x402 payment required

## How this service works

Record routing — Trailing mean series + IQR outlier flags: Trailing mean series + IQR outlier flags for supplied record routing records (accepted_records, rejected_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

Returns two analytical reports per call: (1) a trailing mean time series computed over the specified rolling window for the selected field (accepted_records or rejected_records), and (2) per-row IQR outlier flags indicating which data points fall outside the interquartile range — all derived entirely from the supplied row data with no external lookups.

## Request schema (JSON Schema)

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

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/record-routing-trailing-mean-series-iqr-outlier-flags-4c30c89b/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)