# Transformation Throughput Analytics: Base-100 Series + Date-by-Category Pivot

> Transformation Throughput Analytics: Base-100 Series + Date-by-Category Pivot 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 two analytical reports—a Base-100 indexed series and a date-by-category pivot table—from supplied transformation throughput records (processed_rows, duration_seconds) for up to 200 rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-analytics-13-167?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-base-100-series-date-by-category-686ba2c5
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_HlwGMWZH2Zu97H2S86jjf

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-base-100-series-date-by-category-686ba2c5 -d '<json body>'
```

Example prompt: Can you generate a base-100 indexed series and a date-by-category pivot table for my transformation throughput data? I have 4 rows with dataset groups 'group-a' and 'group-b', dates from 2026-10-01 to 2026-10-04, and I want to index on the processed_rows field starting from row index 0.

## When to prefer this

Choose this endpoint when you have up to 200 transformation throughput records and need both a Base-100 normalized trend series and a date-by-category pivot in a single low-cost call ($0.01 USDC). Ideal for data engineers and pipeline analysts who want to compare relative throughput trends across dataset groups over time without building custom analytics. Prefer this over general analytics platforms when working with ETL/pipeline-specific fields (processed_rows, duration_seconds) and needing two bundled reports from local computation with no external data dependencies.

## Known failure modes

- Fewer than 1 row supplied — request rejected (minItems: 1)
- More than 200 rows supplied — request rejected (maxItems: 200)
- Invalid date format (not YYYY-MM-DD pattern) — validation error
- base_index out of range for the supplied row count — index error
- Missing required fields (row_id, dataset_group, date, processed_rows, duration_seconds) — schema validation failure
- Null values in the metric field may affect index calculation accuracy

## How this service works

Transformation throughput — Base-100 series + Date by category pivot: Base-100 series + Date by category pivot 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 Base-100 indexed time series normalizing the chosen metric (processed_rows or duration_seconds) relative to a specified baseline row, enabling relative trend comparison; and (2) a date-by-category pivot table grouping the selected metric by date and dataset_group, showing how different groups performed across time. Both reports are computed locally from the supplied data 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-base-100-series-date-by-category-686ba2c5/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)