# Record Routing IQR Outlier Flags + Two-Measure Correlation

> Record Routing IQR Outlier Flags + 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 2026-10-23).

Runs IQR-based outlier detection and two-measure correlation analysis on up to 200 record routing rows (accepted_records, rejected_records), returning two independent analytical reports.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-analytics-19-176?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-23
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/record-routing-iqr-outlier-flags-two-measure-correlation-967660c7
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_y9jby5tD6XEZxC2e1t6pv

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-iqr-outlier-flags-two-measure-correlation-967660c7 -d '<json body>'
```

Example prompt: Analyze these record routing rows for IQR outliers and run a two-measure correlation between accepted_records and rejected_records — I have 12 rows across two dataset groups from October 2026, and I want both reports back.

## When to prefer this

Choose this endpoint when you need both IQR-based outlier detection and two-measure correlation in a single low-cost call on record routing data (accepted vs. rejected records), with up to 200 rows and no need for external data enrichment, predictions, or professional assessment. Ideal for data engineers auditing pipeline quality or analysts doing quick statistical QA on routing metrics.

## Known failure modes

- Fewer than 1 row submitted — validation error
- More than 200 rows submitted — request rejected
- Missing required fields (row_id, date, accepted_records, rejected_records) — schema validation failure
- Date field not matching YYYY-MM-DD pattern — rejected
- Insufficient data variance for meaningful correlation (e.g. all identical values) — may return degenerate correlation result
- null values in accepted_records or rejected_records may reduce effective sample size for IQR calculation

## How this service works

Record routing — IQR outlier flags + Two-measure correlation: IQR outlier flags + Two-measure correlation 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

Two analytical reports: (1) IQR outlier flags for each row indicating whether accepted_records or rejected_records values fall outside the interquartile range, and (2) a correlation analysis between the two measures across all supplied rows. No external lookups or predictions are made — all analysis runs on the submitted data only.

## 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"
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/record-routing-iqr-outlier-flags-two-measure-correlation-967660c7/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)