# Record Routing — Record Quality Audit + Category Frequencies

> Record Routing — Record Quality Audit + Category Frequencies 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).

Analyzes record routing data (accepted and rejected records) to produce a record quality audit report and a category frequencies report in a single call.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-analytics-19-006?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-record-quality-audit-category-frequencies-6b327718
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_VWe0E7IMULokpGqY9PqtF

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-record-quality-audit-category-frequencies-6b327718 -d '<json body>'
```

Example prompt: Run a record quality audit and category frequency breakdown on my routing data — I have rows for group-a and group-b from October 2026, with accepted_records like 10, 20, 15, 30 and rejected_records like 1, 2, 3, 4 across 4 row IDs.

## When to prefer this

Choose this endpoint when you need both a record quality audit AND category frequency breakdown for record routing data in a single $0.01 call (up to 200 rows). It is ideal for ETL pipeline monitoring, data ingestion QA, and routing batch analysis where you supply your own data and need local analytical computation without external lookups or live data enrichment.

## Known failure modes

- Exceeds 200-row limit — request will fail or be truncated; split into multiple calls
- Missing required fields (row_id, date, accepted_records, rejected_records) cause validation errors
- Invalid date format (not YYYY-MM-DD) triggers schema rejection
- Null values in accepted_records or rejected_records may affect quality audit completeness
- Extremely large numeric values (near ±1,000,000,000,000) may produce unexpected summary statistics

## How this service works

Record routing — Record quality audit + Category frequencies: Record quality audit + Category frequencies 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 record quality audit summarizing acceptance/rejection patterns, completeness, and anomalies in the supplied rows; and (2) a category frequencies report breaking down how often each dataset_group appears and the distribution of accepted vs rejected records across categories. Results are computed locally on the supplied data with no external lookups.

## 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-record-quality-audit-category-frequencies-6b327718/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)