# Sampling Observations Analytics: Adjacent Row Changes + Two-Measure Correlation

> Sampling Observations Analytics: Adjacent Row Changes + 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 2026-10-15).

Computes adjacent row changes and two-measure correlation for up to 200 supplied sampling observation records (sample_value, sample_weight) in two independent reports.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-analytics-15-158?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-15
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/sampling-observations-analytics-adjacent-row-changes-two-measure-375de3e4
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_NA45pelc3Pi5ewf_JeR20

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 sampling-observations-analytics-adjacent-row-changes-two-measure-375de3e4 -d '<json body>'
```

Example prompt: Can you run adjacent row change analysis and two-measure correlation on these sampling observations I have — up to 200 rows with sample_value and sample_weight fields — and give me both statistical reports?

## When to prefer this

Choose this endpoint when you have raw sampling observation records (with sample_value and sample_weight fields) and need both an adjacent-row sequential change analysis and a two-measure correlation in a single low-cost call. It is ideal for small-to-medium datasets (up to 200 rows) where you want local analytical computation without any external data lookup, prediction, or real-time enrichment. Prefer this over general-purpose statistics tools when you need exactly these two paired reports on structured sampling data at minimal cost ($0.01 USDC).

## Known failure modes

- More than 200 rows submitted — request exceeds maxItems limit
- Missing required fields (row_id, date, sample_value, sample_weight, dataset_group) cause validation errors
- Date field not matching YYYY-MM-DD format causes schema rejection
- sample_value or sample_weight outside ±1,000,000,000,000 range causes validation error
- Too few rows (minItems:1 violated) results in error
- Null values in both measure columns may produce undefined correlation output

## How this service works

Sampling observations — Adjacent row changes + Two-measure correlation: Adjacent row changes + Two-measure correlation for supplied sampling observations records (sample_value, sample_weight). 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

Two independent analytical reports: (1) adjacent row changes showing how sample_value or sample_weight shifts between consecutive rows, and (2) a two-measure correlation quantifying the statistical relationship between sample_value and sample_weight across the supplied dataset, covering up to 200 rows.

## Request schema (JSON Schema)

```json
{
 "type": "object",
 "properties": {
  "rows": {
   "type": "array",
   "items": {
    "type": "object",
    "required": [
     "row_id",
     "dataset_group",
     "date",
     "sample_value",
     "sample_weight"
    ],
    "properties": {
     "date": {
      "type": "string",
      "default": "",
      "pattern": "^\\d{4}-\\d{2}-\\d{2}$",
      "maxLength": 10
     },
     "row_id": {
      "type": "string",
      "default": "",
      "maxLength": 80,
      "minLength": 1
     },
     "sample_value": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     },
     "dataset_group": {
      "type": "string",
      "default": "",
      "maxLength": 80
     },
     "sample_weight": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     }
    },
    "additionalProperties": false
   },
   "default": [
    {
     "date": "2026-10-01",
     "row_id": "row-1",
     "sample_value": 10,
     "dataset_group": "group-a",
     "sample_weight": 1
    },
    {
     "date": "2026-10-02",
     "row_id": "row-2",
     "sample_value": 20,
     "dataset_group": "group-b",
     "sample_weight": 2
    },
    {
     "date": "2026-10-03",
     "row_id": "row-3",
     "sample_value": 15,
     "dataset_group": "group-a",
     "sample_weight": 3
    },
    {
     "date": "2026-10-04",
     "row_id": "row-4",
     "sample_value": 30,
     "dataset_group": "group-b",
     "sample_weight": 4
    }
   ],
   "maxItems": 200,
   "minItems": 1
  },
  "field": {
   "enum": [
    "sample_value",
    "sample_weight"
   ],
   "type": "string",
   "default": "sample_value"
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/sampling-observations-analytics-adjacent-row-changes-two-measure-375de3e4/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)