# Duplicate Observations Analytics: Base-100 Series + Two-Measure Correlation

> Duplicate Observations Analytics: Base-100 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 2026-10-18).

Computes a Base-100 indexed time series and a two-measure correlation report for supplied duplicate-observation records (duplicate_rows, total_rows) — up to 200 rows, two independent analytical reports per call.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-analytics-04-165?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-18
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/duplicate-observations-analytics-base-100-series-two-measure-2c06edef
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_1uScel6CE3cgNfiuveB1V

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-analytics-base-100-series-two-measure-2c06edef -d '<json body>'
```

Example prompt: Can you run a base-100 series and two-measure correlation on my duplicate observation data? I have 4 rows — group-a on 2026-10-01 with 10 duplicate_rows out of 1 total, group-b on 2026-10-02 with 20 duplicate_rows out of 2 total, group-a on 2026-10-03 with 15 duplicate_rows out of 3 total, and group-b on 2026-10-04 with 30 duplicate_rows out of 4 total — use duplicate_rows as the field and base_index 0.

## When to prefer this

Choose this endpoint when you need two simultaneous local analytical outputs — a Base-100 normalized time series AND a correlation between duplicate_rows and total_rows — computed entirely from supplied data without any external API calls or predictions. Ideal for data quality workflows where you want to track duplicate observation trends over time and measure how duplicate counts relate to total row volumes across dataset groups.

## Known failure modes

- Fewer than 1 row supplied — minItems:1 validation error
- More than 200 rows supplied — maxItems:200 exceeded
- Invalid date format (not YYYY-MM-DD) — pattern validation failure
- base_index out of range (0–199) — schema validation error
- null values in duplicate_rows or total_rows may affect correlation computation
- Missing required fields (row_id, dataset_group, date, duplicate_rows, total_rows) — schema validation error

## How this service works

Duplicate observations — Base-100 series + Two-measure correlation: Base-100 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 independent analytical reports: (1) a Base-100 indexed series normalizing the selected field (duplicate_rows or total_rows) relative to the specified base_index row, and (2) a two-measure correlation report between duplicate_rows and total_rows across the supplied records. No external lookups or predictions are made — all computation is performed locally on the supplied data.

## 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"
  },
  "base_index": {
   "type": "integer",
   "default": 0,
   "maximum": 199,
   "minimum": 0
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/duplicate-observations-analytics-base-100-series-two-measure-2c06edef/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)