# Sampling Observations — String Normalisation + Two-Measure Correlation

> Sampling Observations — String Normalisation + 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 2026-10-24).

Performs string normalisation and two-measure correlation analysis on up to 200 sampling observation rows (sample_value, sample_weight), returning two independent analytical reports.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-analytics-15-033?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-24
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/sampling-observations-string-normalisation-two-measure-correlation-0c1db5b1
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_b5vJgyDyF3K4VxETlFpv6

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-string-normalisation-two-measure-correlation-0c1db5b1 -d '<json body>'
```

Example prompt: Can you run string normalisation and two-measure correlation on these sampling observations — I have 4 rows with row IDs row-1 through row-4, dates from 2026-10-01 to 2026-10-04, dataset groups group-a and group-b, sample values 10, 20, 15, 30 and sample weights 1, 2, 3, 4?

## When to prefer this

Choose this endpoint when you need a combined string normalisation and two-measure (value/weight) correlation analysis delivered as two reports in a single low-cost call, without requiring live data lookups or external model predictions. Ideal for small-to-medium datasets (up to 200 rows) where local computation suffices and cost predictability matters ($0.01 USDC flat).

## Known failure modes

- More than 200 rows supplied — request will be rejected due to maxItems constraint
- Missing required fields (row_id, dataset_group, date, sample_value, sample_weight) cause validation errors
- Date fields not matching YYYY-MM-DD pattern will fail schema validation
- Null values in sample_value or sample_weight may affect correlation computation quality
- Payment not processed — x402 payment of 0.01 USDC required per call

## How this service works

Sampling observations — String normalisation + Two-measure correlation: String normalisation + 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) a string normalisation result for the supplied observation records and (2) a two-measure correlation analysis between sample_value and sample_weight, computed locally against the provided rows (up to 200). No external lookups or predictions are made.

## 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
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/sampling-observations-string-normalisation-two-measure-correlation-0c1db5b1/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)