# Duplicate Observations Daily Sum Series and Two-Measure Correlation

> Duplicate Observations Daily Sum Series and 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 2026-10-16).

Computes a daily sum time series and a two-measure correlation report for supplied duplicate_rows and total_rows data, up to 200 rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-analytics-04-141?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-16
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/duplicate-observations-daily-sum-series-and-two-measure-correlation-756ff391
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_i8KDMjFVOTR1-TAJwUCTi

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 duplicate-observations-daily-sum-series-and-two-measure-correlation-756ff391 -d '<json body>'
```

Example prompt: Can you run a daily sum series and two-measure correlation on my duplicate observations data? I have 5 rows across two dataset groups — group-a and group-b — with dates from 2026-10-01 to 2026-10-05, and I want to analyze the duplicate_rows field.

## When to prefer this

Choose this endpoint when you have tabular duplicate observation records with date, group, and two numeric measures (duplicate_rows, total_rows) and need both a daily aggregated time series and a correlation analysis in a single low-cost call. It is ideal for data quality monitoring, ETL auditing, and deduplication trend analysis on datasets up to 200 rows where no external data, predictions, or live lookups are needed.

## Known failure modes

- More than 200 rows submitted — request will be rejected or truncated
- Missing required fields (row_id, date, dataset_group, duplicate_rows, total_rows) cause validation errors
- Dates not in YYYY-MM-DD format fail pattern validation
- Null values in measure fields may affect correlation computation
- Empty rows array returns an error (minItems: 1)
- Invalid field enum value (must be duplicate_rows or total_rows)

## How this service works

Duplicate observations — Daily sum series + Two-measure correlation: Daily sum series + Two-measure correlation for supplied duplicate observations records (duplicate_rows, total_rows). 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 aggregating the selected measure (duplicate_rows or total_rows) by date, and (2) a two-measure correlation report showing the statistical relationship between duplicate_rows and total_rows across the supplied dataset. Both reports are 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",
     "duplicate_rows",
     "total_rows"
    ],
    "properties": {
     "date": {
      "type": "string",
      "default": "",
      "pattern": "^\\d{4}-\\d{2}-\\d{2}$",
      "maxLength": 10
     },
     "row_id": {
      "type": "string",
      "default": "",
      "maxLength": 80,
      "minLength": 1
     },
     "total_rows": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     },
     "dataset_group": {
      "type": "string",
      "default": "",
      "maxLength": 80
     },
     "duplicate_rows": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     }
    },
    "additionalProperties": false
   },
   "default": [
    {
     "date": "2026-10-01",
     "row_id": "row-1",
     "total_rows": 1,
     "dataset_group": "group-a",
     "duplicate_rows": 10
    },
    {
     "date": "2026-10-02",
     "row_id": "row-2",
     "total_rows": 2,
     "dataset_group": "group-b",
     "duplicate_rows": 20
    },
    {
     "date": "2026-10-03",
     "row_id": "row-3",
     "total_rows": 3,
     "dataset_group": "group-a",
     "duplicate_rows": 15
    },
    {
     "date": "2026-10-04",
     "row_id": "row-4",
     "total_rows": 4,
     "dataset_group": "group-b",
     "duplicate_rows": 30
    }
   ],
   "maxItems": 200,
   "minItems": 1
  },
  "field": {
   "enum": [
    "duplicate_rows",
    "total_rows"
   ],
   "type": "string",
   "default": "duplicate_rows"
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/duplicate-observations-daily-sum-series-and-two-measure-correlation-756ff391/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)