# Record Routing Data Quality Suite: Audit + Deduplication + Interval Filter

> Record Routing Data Quality Suite: Audit + Deduplication + Interval Filter 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 numeric interval filter — for up to 200 rows of accepted/rejected record counts.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-analytics-19-214?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-data-quality-suite-audit-deduplication-interval-filter-3a52d6d5
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_Fnjb6itQdg5NYTNZILiDg

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-data-quality-suite-audit-deduplication-interval-filter-3a52d6d5 -d '<json body>'
```

Example prompt: Can you run the full quality audit, deduplication check, and numeric interval filter on my record routing data — I have 4 rows with accepted_records and rejected_records per group, and I want to filter accepted_records between 0 and 100?

## When to prefer this

Choose this endpoint when you need a lightweight, low-cost ($0.01) batch of three data quality operations on record routing datasets (up to 200 rows) without any external API calls or model predictions. Ideal for ETL pipeline validation, deduplication checks, and range-based filtering of accepted/rejected record counts in a single call.

## Known failure modes

- More than 200 rows submitted — request rejected (maxItems limit)
- Missing required fields (row_id, date, accepted_records, rejected_records) cause validation errors
- Invalid date format (not YYYY-MM-DD) triggers pattern validation failure
- Minimum greater than maximum causes illogical interval filter results
- Null numeric values may affect interval filter report accuracy

## How this service works

Record routing — Record quality audit + Exact row deduplication + Numeric interval filter: Record quality audit + Exact row deduplication + Numeric interval filter 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 independent analytical reports: (1) a record quality audit summarizing data completeness and anomalies, (2) an exact row deduplication report identifying duplicate entries, and (3) a numeric interval filter report listing rows where the chosen field (accepted_records or rejected_records) falls within the specified minimum–maximum range. 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"
  },
  "maximum": {
   "type": "number",
   "default": 100,
   "maximum": 1000000000000,
   "minimum": -1000000000000
  },
  "minimum": {
   "type": "number",
   "default": 0,
   "maximum": 1000000000000,
   "minimum": -1000000000000
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/record-routing-data-quality-suite-audit-deduplication-interval-filter-3a52d6d5/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)