# Newsletter Observations — String Normalisation + Two-Measure Correlation

> Newsletter 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 2026-11-02).

Runs string normalisation and two-measure correlation analysis on newsletter observation records (delivered_messages, open_count) for up to 200 rows, returning 2 independent analytical reports.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-news-08-033?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-11-02
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/newsletter-observations-string-normalisation-two-measure-correlation-1a97e8fe
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_7w8UHlIXdRvyla8ppmPnB

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 newsletter-observations-string-normalisation-two-measure-correlation-1a97e8fe -d '<json body>'
```

Example prompt: Can you run string normalisation and two-measure correlation on these newsletter records? I have up to 50 rows with fields row_id, channel_group, date, delivered_messages, and open_count — I want to see how delivered messages and open count relate to each other across channel groups.

## When to prefer this

Choose this endpoint when you need both string normalisation and correlation analysis together on newsletter data (delivered_messages vs open_count) in a single low-cost call. It is purpose-built for newsletter observation records with up to 200 rows and returns two structured analytical reports without requiring any external data sources or live lookups.

## Known failure modes

- Input array exceeds 200 rows — request rejected
- Missing required fields (row_id, channel_group, date, delivered_messages, open_count) cause validation errors
- Invalid date format (not YYYY-MM-DD) triggers pattern mismatch
- Numeric values outside allowed range (-1e12 to 1e12) rejected
- Empty rows array (minItems: 1 not met) causes error
- Payment of 0.01 USDC not completed — 402 response returned

## How this service works

Newsletter observations — String normalisation + Two-measure correlation: String normalisation + Two-measure correlation for supplied newsletter observations records (delivered_messages, open_count). 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 string normalisation report covering the channel_group and other string fields across the supplied rows, and (2) a two-measure correlation report quantifying the statistical relationship between delivered_messages and open_count across up to 200 input rows.

## Request schema (JSON Schema)

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

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/newsletter-observations-string-normalisation-two-measure-correlation-1a97e8fe/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)