# Transformation Throughput Analytics — Grouped Summary & Daily Sum Series

> Transformation Throughput Analytics — Grouped Summary & Daily Sum Series is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-28).

Computes a grouped numeric summary and a daily sum time series for transformation throughput data (processed_rows and duration_seconds) over up to 200 supplied records.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-analytics-13-089?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-grouped-summary-daily-sum-series-1aa1c743
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_z9-47Z2YFv2DTRzETuXLy

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-grouped-summary-daily-sum-series-1aa1c743 -d '<json body>'
```

Example prompt: I have 4 transformation job records — group-a processed 10 rows in 1 second on 2026-10-01 and 15 rows in 3 seconds on 2026-10-03, group-b processed 20 rows in 2 seconds on 2026-10-02 and 30 rows in 4 seconds on 2026-10-04 — can you give me a grouped numeric summary and a daily sum series for processed_rows?

## When to prefer this

Choose this endpoint when you have up to 200 transformation throughput records (with group labels and dates) and need both a grouped statistical summary and a daily aggregated time series in a single call for $0.01 USDC. Prefer this over general analytics services when your data is already structured with dataset_group, date, processed_rows, and duration_seconds fields and you want two reports bundled together without setting up your own analytics stack.

## Known failure modes

- Input array exceeds 200 rows — request will be rejected or truncated
- Missing required fields (row_id, date, dataset_group, processed_rows, duration_seconds) cause validation errors
- Invalid date format (not YYYY-MM-DD) causes schema rejection
- Null values in processed_rows or duration_seconds may affect aggregate accuracy
- Selecting an unsupported field value (not 'processed_rows' or 'duration_seconds') causes an enum validation error

## How this service works

Transformation throughput — Grouped numeric summary + Daily sum series: Grouped numeric summary + Daily sum series 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 grouped numeric summary breaking down processed_rows or duration_seconds statistics (e.g. count, mean, min, max, sum) per dataset_group, and (2) a daily sum time series showing the total of the selected field aggregated by date 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": {
  "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-grouped-summary-daily-sum-series-1aa1c743/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)