# Transformation Throughput — Adjacent Row Changes + Equal-Width Histogram

> Transformation Throughput — Adjacent Row Changes + 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).

Runs two analytical reports on transformation throughput data: adjacent row-to-row changes and an equal-width histogram, using local analytical engines on up to 200 supplied records.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-analytics-13-156?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-adjacent-row-changes-equal-width-histogram-1aca5e62
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_FnZdDU8kY6145VQFcAKjd

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-adjacent-row-changes-equal-width-histogram-1aca5e62 -d '<json body>'
```

Example prompt: Analyze my ETL throughput records for adjacent row-to-row changes and a 5-bin equal-width histogram on the processed_rows field — here are 4 rows: row-1 on 2026-10-01 group-a with 10 processed rows and 1 second, row-2 on 2026-10-02 group-b with 20 rows and 2 seconds, row-3 on 2026-10-03 group-a with 15 rows and 3 seconds, row-4 on 2026-10-04 group-b with 30 rows and 4 seconds.

## When to prefer this

Choose this endpoint when you have up to 200 transformation throughput records and need both a row-by-row change analysis and a frequency distribution histogram in a single API call. It is ideal for ETL pipeline diagnostics, batch job duration analysis, and data engineering monitoring workflows where local computation is sufficient and no external data, predictions, or live lookups are required. Prefer this over single-report endpoints when you need both adjacent-change and histogram analytics bundled at $0.01 USDC.

## Known failure modes

- More than 200 rows submitted — request rejected, reduce row count
- Missing required fields (row_id, date, processed_rows, duration_seconds) — validation error
- Bins value outside 1–30 range — schema validation failure
- Date strings not in YYYY-MM-DD format — pattern validation error
- All numeric values are null — histogram and delta computation may return empty or null results

## How this service works

Transformation throughput — Adjacent row changes + Equal-width histogram: Adjacent row changes + 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

Two analytical reports: (1) adjacent row changes showing delta values between consecutive records for the selected field (processed_rows or duration_seconds), and (2) an equal-width histogram with configurable bins summarizing the distribution of that field across all supplied rows. 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-adjacent-row-changes-equal-width-histogram-1aca5e62/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)