# Transformation Throughput Analytics: Quality Audit + Deduplication + Histogram

> Transformation Throughput Analytics: Quality Audit + Deduplication + Histogram 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 local analytical reports on transformation throughput records: record quality audit, exact row deduplication, and equal-width histogram — all in a single API call.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-analytics-13-219?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-quality-audit-deduplication-5617f976
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_ovPXLzanIh9TImSme-SPq

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-quality-audit-deduplication-5617f976 -d '<json body>'
```

Example prompt: Run a quality audit, exact row deduplication, and a 10-bin equal-width histogram on these transformation throughput records — the rows have fields like row_id, dataset_group, date, processed_rows, and duration_seconds — and use processed_rows as the histogram field.

## When to prefer this

Choose this endpoint when you need three complementary data quality operations — quality audit, deduplication, and histogram — applied to the same transformation throughput dataset in a single cheap call ($0.01 USDC). Ideal for ETL monitoring workflows where you want to validate, clean, and profile pipeline records without calling three separate services. Best suited for datasets up to 200 rows where all computation is local (no external lookups or ML predictions).

## Known failure modes

- Submitting more than 200 rows returns a validation error
- Missing required fields (row_id, date, processed_rows, duration_seconds) cause row-level errors in the quality audit
- Invalid date format (not YYYY-MM-DD) triggers a schema validation failure
- Numeric values outside allowed range (-1e12 to 1e12) are rejected
- Requesting fewer than 1 or more than 30 bins returns a parameter error
- Empty rows array is rejected

## How this service works

Transformation throughput — Record quality audit + Exact row deduplication + Equal-width histogram: Record quality audit + Exact row deduplication + Equal-width histogram 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

Returns three independent analytical reports for the submitted transformation throughput records: (1) a record quality audit flagging nulls, type errors, and anomalies; (2) an exact row deduplication report identifying and removing duplicate records; and (3) an equal-width histogram of the chosen numeric field (processed_rows or duration_seconds) across the specified number of bins.

## Request schema (JSON Schema)

```json
{
 "type": "object",
 "properties": {
  "bins": {
   "type": "integer",
   "default": 5,
   "maximum": 30,
   "minimum": 1
  },
  "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-quality-audit-deduplication-5617f976/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)