# Transformation Throughput Analytics: Record Quality Audit + Exact Row Deduplication + Numeric Distribution

> Transformation Throughput Analytics: Record Quality Audit + Exact Row Deduplication + Numeric Distribution is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-28).

Runs three simultaneous analytical reports — record quality audit, exact row deduplication, and numeric distribution — on transformation throughput data (processed_rows, duration_seconds) for up to 200 rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-analytics-13-210?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-28
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/transformation-throughput-analytics-record-quality-audit-exact-row-3788cbe1
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_26uyTDHa11HVZ5yTgfCj9

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 transformation-throughput-analytics-record-quality-audit-exact-row-3788cbe1 -d '<json body>'
```

Example prompt: Can you run a full quality audit, exact deduplication check, and numeric distribution analysis on my transformation throughput records — here are 50 rows with row_id, dataset_group, date, processed_rows, and duration_seconds — and profile the processed_rows field?

## When to prefer this

Choose this endpoint when you need three combined data quality reports — quality audit, deduplication, and numeric distribution — on transformation throughput records in a single $0.01 call. Ideal for lightweight, offline profiling of ETL pipeline output without any external lookup or prediction. Use it when your dataset is under 200 rows and you want fast, local analytical results on processed_rows or duration_seconds metrics.

## Known failure modes

- Submitting more than 200 rows returns a validation error
- Missing required fields (row_id, date, processed_rows, duration_seconds) causes row-level rejection
- Invalid date format (not YYYY-MM-DD) fails schema validation
- Selecting a field not in the enum (processed_rows, duration_seconds) returns a parameter error
- Empty rows array returns a minItems validation error

## How this service works

Transformation throughput — Record quality audit + Exact row deduplication + Numeric distribution: Record quality audit + Exact row deduplication + Numeric distribution for supplied transformation throughput records (processed_rows, duration_seconds). 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 flagging missing, null, or malformed values across the supplied rows; (2) an exact row deduplication report identifying fully identical records; (3) a numeric distribution summary (e.g. min, max, mean, percentiles, count) for the selected numeric field (processed_rows or duration_seconds). All computed locally from the submitted 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",
     "processed_rows",
     "duration_seconds"
    ],
    "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
     },
     "processed_rows": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     },
     "duration_seconds": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     }
    },
    "additionalProperties": false
   },
   "default": [
    {
     "date": "2026-10-01",
     "row_id": "row-1",
     "dataset_group": "group-a",
     "processed_rows": 10,
     "duration_seconds": 1
    },
    {
     "date": "2026-10-02",
     "row_id": "row-2",
     "dataset_group": "group-b",
     "processed_rows": 20,
     "duration_seconds": 2
    },
    {
     "date": "2026-10-03",
     "row_id": "row-3",
     "dataset_group": "group-a",
     "processed_rows": 15,
     "duration_seconds": 3
    },
    {
     "date": "2026-10-04",
     "row_id": "row-4",
     "dataset_group": "group-b",
     "processed_rows": 30,
     "duration_seconds": 4
    }
   ],
   "maxItems": 200,
   "minItems": 1
  },
  "field": {
   "enum": [
    "processed_rows",
    "duration_seconds"
   ],
   "type": "string",
   "default": "processed_rows"
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/transformation-throughput-analytics-record-quality-audit-exact-row-3788cbe1/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)