# Transformation Throughput — Daily Sum Series + Two-Measure Correlation

> Transformation Throughput — Daily Sum Series + Two-Measure Correlation 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 daily sum time series and a Pearson correlation between processed_rows and duration_seconds from user-supplied transformation throughput records (up to 200 rows).

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-analytics-13-141?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-daily-sum-series-two-measure-correlation-a221e96e
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_lpwyXkSKRd5HRMZ8S6_KE

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-daily-sum-series-two-measure-correlation-a221e96e -d '<json body>'
```

Example prompt: Can you analyze my transformation throughput records — here are up to 200 rows with date, dataset_group, processed_rows, and duration_seconds — and give me both a daily sum series for processed_rows and the correlation between processed_rows and duration_seconds?

## When to prefer this

Choose this endpoint when you need both a daily aggregate time series and a statistical correlation between processed_rows and duration_seconds from your own supplied throughput data — all in a single call for $0.01 USDC. Best for small to medium ETL/pipeline datasets up to 200 rows where you want offline, deterministic analytics without any external data enrichment or prediction.

## Known failure modes

- Exceeding 200 row limit returns validation error
- Missing required fields (row_id, date, processed_rows, duration_seconds) causes rejection
- Malformed date strings not matching YYYY-MM-DD pattern cause schema validation failure
- Null values in both measure columns may degrade or nullify correlation computation
- Fewer than 2 non-null paired observations may make correlation undefined

## How this service works

Transformation throughput — Daily sum series + Two-measure correlation: Daily sum series + Two-measure correlation 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 daily sum time series showing total values of the selected field (processed_rows or duration_seconds) aggregated by date, and (2) a correlation coefficient between processed_rows and duration_seconds across all supplied records. Both computed locally from the submitted 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-daily-sum-series-two-measure-correlation-a221e96e/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)