# Record Routing Analytics — Numeric Distribution & Two-Measure Correlation

> Record Routing Analytics — Numeric Distribution & 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).

Computes numeric distribution statistics and two-measure correlation analysis for accepted_records and rejected_records fields in record routing datasets, covering up to 200 rows in a single call.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-analytics-19-081?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-analytics-numeric-distribution-two-measure-correlation-5720c79a
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_MPCBsU491ntn6AX9HJ3cP

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-analytics-numeric-distribution-two-measure-correlation-5720c79a -d '<json body>'
```

Example prompt: Can you run a numeric distribution and two-measure correlation analysis on my record routing data? I have 50 rows with date, dataset_group, accepted_records, and rejected_records — analyze the accepted_records field distribution and correlate it with rejected_records.

## When to prefer this

Choose this endpoint when you have record routing data with accepted and rejected record counts and need both a distribution summary and a correlation between the two measures in a single low-cost call. It is ideal for data pipeline QA, ETL auditing, or batch analytics on up to 200 rows without requiring external data sources or live lookups. Prefer alternatives if you need more than 200 rows, require predictions, or need more than two measures correlated simultaneously.

## Known failure modes

- Missing required fields (row_id, date, accepted_records, rejected_records) returns validation error
- More than 200 rows submitted exceeds the row limit and will be rejected
- Invalid date format (not YYYY-MM-DD) causes schema validation failure
- All null values in the selected numeric field may produce degenerate or empty distribution output
- Payment of 0.01 USDC not included or rejected causes 402 Payment Required response

## How this service works

Record routing — Numeric distribution + Two-measure correlation: Numeric distribution + 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

Returns two independent analytical reports: (1) a numeric distribution report showing statistical spread (e.g. min, max, mean, percentiles, histogram buckets) for the selected field (accepted_records or rejected_records), and (2) a two-measure correlation report quantifying the relationship between accepted_records and rejected_records across the supplied rows. Results are computed locally with no external lookups or predictions.

## 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-analytics-numeric-distribution-two-measure-correlation-5720c79a/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)