# Record Routing Analytics: Quality Audit + String Normalisation + Two-Measure Correlation

> Record Routing Analytics: Quality Audit + String Normalisation + 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 three local analytical reports on record routing data — a quality audit, string normalisation, and two-measure correlation — for up to 200 rows of accepted/rejected record counts per dataset group and date.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-analytics-19-204?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-quality-audit-string-normalisation-two-1c1c4db3
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_v4XoDI6_7ZRtCmShhiTbz

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-quality-audit-string-normalisation-two-1c1c4db3 -d '<json body>'
```

Example prompt: Can you run a quality audit, string normalisation, and correlation analysis on my record routing data? I have 4 rows: group-a on 2026-10-01 with 10 accepted and 1 rejected, group-b on 2026-10-02 with 20 accepted and 2 rejected, group-a on 2026-10-03 with 15 accepted and 3 rejected, and group-b on 2026-10-04 with 30 accepted and 4 rejected.

## When to prefer this

Choose this endpoint when you need a quick, self-contained, offline-style analytical pass on a small batch (up to 200 rows) of record routing data — specifically when you want all three of quality auditing, string normalisation, and two-measure correlation in a single cheap call ($0.01 USDC). It is not suitable for real-time monitoring, large datasets over 200 rows, external data enrichment, or predictive modelling.

## Known failure modes

- Submitting more than 200 rows returns a validation error
- Missing required fields (row_id, date, accepted_records, rejected_records) causes row rejection
- Malformed date strings not matching YYYY-MM-DD pattern fail schema validation
- Null values in accepted_records or rejected_records may reduce correlation report utility
- Empty rows array is rejected by minItems constraint

## How this service works

Record routing — Record quality audit + String normalisation + Two-measure correlation: Record quality audit + String normalisation + Two-measure correlation for supplied record routing records (accepted_records, rejected_records). Up to 200 rows; 3 independent reports using shared local analytical engines. No live lookup, prediction, professional assessment or external action. 0.01 USDC includes 3 supplied-data reports for up to 200 rows.

## Output

Three analytical reports generated locally from the supplied rows: (1) a record quality audit flagging data issues in the accepted/rejected record fields, (2) a string normalisation report for the dataset_group and other string fields, and (3) a two-measure correlation report quantifying the relationship between accepted_records and rejected_records across the submitted rows. No external lookups or predictions are made.

## 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
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/record-routing-analytics-quality-audit-string-normalisation-two-1c1c4db3/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)