# Record Routing Analytics — Two-Measure Correlation + Explicit Missing-Value Fill

> Record Routing Analytics — Two-Measure Correlation + Explicit Missing-Value Fill 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 Pearson/rank correlation between accepted_records and rejected_records, and fills missing values (zero/mean/median) in the specified field, for up to 200 record-routing rows in a single paid call.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-analytics-19-184?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-two-measure-correlation-explicit-missing-df036ca4
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_botwq4aDeFhaEDzf9AheI

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-two-measure-correlation-explicit-missing-df036ca4 -d '<json body>'
```

Example prompt: For this batch of record routing data (up to 200 rows with accepted_records and rejected_records per date and group), can you compute the two-measure correlation between those columns and fill any missing values in rejected_records using the median method?

## When to prefer this

Choose this endpoint when you need a fast, low-cost ($0.01) combined statistical report — correlation plus missing-value imputation — on record routing data (accepted vs rejected record counts) for up to 200 rows, without any external lookups or live predictions. Ideal for ETL pipeline QA, data quality audits, and pre-analysis gap-filling workflows where the data is already available locally.

## Known failure modes

- Fewer than 1 row supplied — minimum 1 row required
- More than 200 rows supplied — maxItems limit exceeded
- Invalid date format (must be YYYY-MM-DD)
- Invalid method enum value — must be zero, mean, or median
- Invalid field enum value — must be accepted_records or rejected_records
- All values in target field are null — mean/median imputation undefined
- Payment of 0.01 USDC not completed — x402 payment required
- row_id missing or empty — minLength 1 required

## How this service works

Record routing — Two-measure correlation + Explicit missing-value fill: Two-measure correlation + Explicit missing-value fill 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: (1) a two-measure correlation report showing the statistical relationship (e.g. Pearson or rank correlation coefficient) between accepted_records and rejected_records across the supplied rows; and (2) a missing-value fill report showing which values in the target field were null and what values were substituted using the chosen method (zero, mean, or median). No external data is fetched; analysis is performed entirely on the supplied rows.

## 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"
  },
  "method": {
   "enum": [
    "zero",
    "mean",
    "median"
   ],
   "type": "string",
   "default": "median"
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/record-routing-analytics-two-measure-correlation-explicit-missing-df036ca4/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)