# Duplicate Observations — Equal-Width Histogram + Two-Measure Correlation

> Duplicate Observations — Equal-Width Histogram + 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).

Runs an equal-width histogram and a two-measure correlation report on 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-04-171?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-equal-width-histogram-two-measure-correlation-d0c4ed1f
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_IShqYVjbQQgoofQkHQft1

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-equal-width-histogram-two-measure-correlation-d0c4ed1f -d '<json body>'
```

Example prompt: Can you run an equal-width histogram (10 bins) and correlation report on these 50 rows of duplicate observation data I have — each row has a dataset_group, date, duplicate_rows, and total_rows — and analyze the duplicate_rows field?

## When to prefer this

Choose this endpoint when you need fast, local statistical analysis of duplicate-observation records specifically — no external data fetch, no ML model, just deterministic histogram binning and correlation computation on your supplied data. Ideal for data quality pipelines, deduplication audits, or governance dashboards where you want two complementary statistical views (distribution shape + linear relationship) in a single low-cost call.

## Known failure modes

- Fewer than 1 row supplied — minimum row count not met
- More than 200 rows supplied — exceeds maxItems limit
- bins value outside 1–30 range — validation error
- Missing required fields (row_id, dataset_group, date, duplicate_rows, total_rows) in any row
- Invalid date format (must match YYYY-MM-DD pattern)
- Null values in both duplicate_rows and total_rows preventing correlation computation
- Payment not included or insufficient — x402 payment required

## How this service works

Duplicate observations — Equal-width histogram + Two-measure correlation: Equal-width histogram + 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) an equal-width histogram partitioning the selected field (duplicate_rows or total_rows) into up to 30 bins with counts per bin, and (2) a two-measure correlation report quantifying the statistical relationship between duplicate_rows and total_rows across all supplied records.

## Request schema (JSON Schema)

```json
{
 "type": "object",
 "properties": {
  "bins": {
   "type": "integer",
   "default": 5,
   "maximum": 30,
   "minimum": 1
  },
  "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-equal-width-histogram-two-measure-correlation-d0c4ed1f/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)