# Transformation Throughput Analytics — Quality Audit + Deduplication + Base-100 Series

> Transformation Throughput Analytics — Quality Audit + Deduplication + Base-100 Series 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 transformation throughput records: record quality audit, exact row deduplication, and a base-100 index series for processed_rows or duration_seconds.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-analytics-13-218?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/transformation-throughput-analytics-quality-audit-deduplication-base-947020b3
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_dVbbpMt9ubbA5tz0o6ETA

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-base-947020b3 -d '<json body>'
```

Example prompt: Can you run a record quality audit, exact deduplication check, and base-100 index series on my transformation throughput data — here are up to 200 rows with row_id, dataset_group, date, processed_rows, and duration_seconds — index on processed_rows starting from row 0?

## When to prefer this

Choose this endpoint when you need three bundled analytical operations — quality audit, deduplication, and base-100 normalization — on transformation throughput records (processed_rows, duration_seconds) in a single low-cost call. It is ideal for ETL pipeline monitoring, pre-reporting data cleaning, and trend normalization without needing external data sources or live lookups. Best when your dataset is up to 200 rows and you want all three reports for $0.01 USDC rather than calling separate endpoints.

## Known failure modes

- Exceeding 200 rows causes rejection — keep input to maxItems limit
- Missing required fields (row_id, date, processed_rows, duration_seconds) causes validation errors
- Invalid date format (must match YYYY-MM-DD) causes schema rejection
- base_index out of range (must be 0–199 and within actual row count) causes error
- Null values in processed_rows or duration_seconds are accepted but flagged in the quality audit
- All rows identical triggers deduplication report showing all as duplicates

## How this service works

Transformation throughput — Record quality audit + Exact row deduplication + Base-100 series: Record quality audit + Exact row deduplication + Base-100 series 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: (1) a record quality audit flagging nulls, out-of-range values, and malformed fields; (2) an exact row deduplication report identifying duplicate records; (3) a base-100 index series for the selected numeric field (processed_rows or duration_seconds) relative to the specified base row. 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",
     "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"
  },
  "base_index": {
   "type": "integer",
   "default": 0,
   "maximum": 199,
   "minimum": 0
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/transformation-throughput-analytics-quality-audit-deduplication-base-947020b3/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)