# Record Routing — String Normalisation + Numeric Distribution Analytics

> Record Routing — String Normalisation + Numeric Distribution Analytics is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-19).

Analyzes record routing data by performing string normalisation and numeric distribution reporting on accepted_records and rejected_records fields across up to 200 rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-analytics-19-022?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-19
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/record-routing-string-normalisation-numeric-distribution-analytics-aa8355a3
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_3QCp_3C_Du8a72dIuSsTg

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-string-normalisation-numeric-distribution-analytics-aa8355a3 -d '<json body>'
```

Example prompt: Can you run string normalisation and numeric distribution reports on my record routing data? I have 4 rows with dataset groups 'group-a' and 'group-b' from October 2026, with accepted_records values of 10, 20, 15, and 30, and rejected_records of 1, 2, 3, and 4 — analyze the accepted_records field.

## When to prefer this

Choose this endpoint when you need lightweight, low-cost batch analytics (string normalisation + numeric distribution) on record routing data with up to 200 rows, without requiring external lookups, predictions, or professional assessments. Ideal for ETL monitoring, data quality checks, and pipeline acceptance/rejection rate analysis at $0.01 per call.

## Known failure modes

- Exceeding 200 rows returns a validation error
- Missing required fields (row_id, date, accepted_records, rejected_records) causes rejection
- Invalid date format (non YYYY-MM-DD) fails schema validation
- Numeric values outside ±1,000,000,000,000 are rejected
- Empty rows array is not accepted (minItems: 1)
- Invalid field enum value (must be 'accepted_records' or 'rejected_records') causes error

## How this service works

Record routing — String normalisation + Numeric distribution: String normalisation + Numeric distribution 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 string normalisation report covering the string fields in the routing records, and (2) a numeric distribution report for the selected numeric field (accepted_records or rejected_records), computed locally without any external lookup or prediction, covering up to 200 submitted 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"
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/record-routing-string-normalisation-numeric-distribution-analytics-aa8355a3/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)