# Transformation Throughput — Duplicate Key Report + Equal-Width Histogram

> Transformation Throughput — Duplicate Key Report + Equal-Width 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).

Analyzes transformation throughput records to produce a duplicate key report and an equal-width histogram for processed_rows or duration_seconds fields.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-analytics-13-064?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-duplicate-key-report-equal-width-histogram-fc94b520
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_4y8EJyBn2X6BzQJiiqjH9

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-duplicate-key-report-equal-width-histogram-fc94b520 -d '<json body>'
```

Example prompt: Check my transformation throughput records for duplicate row IDs and also generate an equal-width histogram with 10 bins for the processed_rows field — here are my 50 pipeline run records with row_id, dataset_group, date, processed_rows, and duration_seconds.

## When to prefer this

Choose this endpoint when you need both a duplicate key audit and a histogram distribution analysis on transformation throughput data (processed_rows and/or duration_seconds) in a single $0.01 call covering up to 200 rows. It is ideal for data engineers performing quick data quality checks on ETL pipeline logs without needing live data lookups, predictions, or external enrichment. Prefer it over single-report endpoints when you need both deduplication insight and numeric distribution in one pass.

## Known failure modes

- More than 200 rows submitted — request rejected due to row limit
- Missing required fields (row_id, date, processed_rows, duration_seconds) on any row — validation error
- bins parameter out of range (must be 1–30) — validation error
- Invalid date format (must match YYYY-MM-DD) — parsing error
- All numeric values are null — histogram cannot be computed
- Non-numeric values submitted for processed_rows or duration_seconds — type error

## How this service works

Transformation throughput — Duplicate key report + Equal-width histogram: Duplicate key report + Equal-width histogram for supplied transformation throughput records (processed_rows, duration_seconds). Up to 200 rows; 2 independent reports using shared local analytical engines. No live lookup, prediction, professional assessment or external action. 0.01 USDC includes 2 supplied-data reports for up to 200 rows.

## Output

Returns two independent analytical reports: (1) a duplicate key report identifying any repeated row_id values across the submitted records, and (2) an equal-width histogram showing the frequency distribution of the selected numeric field (processed_rows or duration_seconds) divided into the specified number of bins. Both reports are computed locally from the supplied data with no external lookups.

## 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-duplicate-key-report-equal-width-histogram-fc94b520/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)