# Record Routing Analytics: Quality Audit, Deduplication & Grouped Summary

> Record Routing Analytics: Quality Audit, Deduplication & Grouped Summary is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-15).

Runs three local analytical reports on record routing data: a quality audit, exact row deduplication, and a grouped numeric summary of accepted/rejected record counts.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-analytics-19-211?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-15
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/record-routing-analytics-quality-audit-deduplication-grouped-summary-2f325f10
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_7DP2ObayFNT37TxTE-Rzj

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-deduplication-grouped-summary-2f325f10 -d '<json body>'
```

Example prompt: Can you run a quality audit, deduplicate, and group summary on my record routing data? I have rows with row_id, dataset_group, date, accepted_records, and rejected_records — up to 200 rows — and I want the analysis based on the accepted_records field.

## When to prefer this

Choose this endpoint when you need three bundled analytical operations on a single record routing dataset in one call — quality auditing, deduplication, and grouped aggregation — without requiring external data sources or live lookups. Ideal for ETL pipeline monitoring, data hygiene checks, and summarizing accepted vs rejected record volumes by group, especially when cost efficiency matters (all three reports for $0.01 USDC per call on up to 200 rows).

## Known failure modes

- Exceeding 200 rows returns a validation error
- Missing required fields (row_id, date, dataset_group) cause row-level rejection
- Invalid date format (not YYYY-MM-DD) triggers a pattern validation failure
- Numeric values outside the allowed range cause field-level errors
- Empty rows array returns an error due to minItems:1 constraint

## How this service works

Record routing — Record quality audit + Exact row deduplication + Grouped numeric summary: Record quality audit + Exact row deduplication + Grouped numeric summary 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: (1) a record quality audit flagging missing or anomalous values across the dataset, (2) an exact row deduplication report identifying and removing fully duplicate rows, and (3) a grouped numeric summary aggregating the selected numeric field (accepted_records or rejected_records) by dataset_group — all computed locally 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
  },
  "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-quality-audit-deduplication-grouped-summary-2f325f10/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)