# Transformation Throughput Analytics: String Normalisation + Equal-Width Histogram

> Transformation Throughput Analytics: String Normalisation + 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).

Generates a string-normalisation report and an equal-width histogram for transformation throughput records (processed_rows and/or duration_seconds) over up to 200 rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-analytics-13-031?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-string-normalisation-equal-width-e3fdcaac
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_Wk1mALqwp7v8I5wc75AQl

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-string-normalisation-equal-width-e3fdcaac -d '<json body>'
```

Example prompt: Analyse my transformation throughput data — here are 50 records with row_id, dataset_group, date, processed_rows, and duration_seconds — please string-normalise the data and produce an equal-width histogram for the processed_rows field using 10 bins.

## When to prefer this

Choose this endpoint when you have up to 200 transformation throughput records and need both string normalisation and a histogram distribution report in a single low-cost call ($0.01 USDC). It is ideal for data engineers who want quick offline statistical summaries of ETL pipeline performance metrics (processed_rows or duration_seconds) without requiring a live database, prediction service, or external data enrichment.

## Known failure modes

- More than 200 rows submitted — exceeds maxItems limit
- bins value outside 1–30 range — validation error
- Missing required fields (row_id, date, processed_rows, duration_seconds) in any row — schema rejection
- Invalid date format (not YYYY-MM-DD) — pattern mismatch error
- Null values in the chosen field may affect histogram computation
- All values identical — histogram may produce degenerate single-bin result

## How this service works

Transformation throughput — String normalisation + Equal-width histogram: String normalisation + 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 analytical reports: (1) a string-normalisation report over the supplied throughput records, and (2) an equal-width histogram dividing the chosen field (processed_rows or duration_seconds) into the specified number of bins, with bin boundaries and frequency counts — all computed locally without 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-analytics-string-normalisation-equal-width-e3fdcaac/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)