# Newsletter Observations Analyzer — Record Quality Audit + String Normalisation + Trailing Mean Series

> Newsletter Observations Analyzer — Record Quality Audit + String Normalisation + Trailing Mean Series is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-11-03).

Runs three analytical reports (record quality audit, string normalisation, and trailing mean series) on newsletter observation data (delivered_messages, open_count) for up to 200 rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-news-08-199?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-11-03
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/newsletter-observations-analyzer-record-quality-audit-string-f8f54be4
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_vvhbPjMOSUNtQWKJh9Zg9

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-analyzer-record-quality-audit-string-f8f54be4 -d '<json body>'
```

Example prompt: Can you run a quality audit, string normalization, and trailing mean analysis (window of 7) on my newsletter data — I have rows with row_id, channel_group, date, delivered_messages, and open_count — and focus the trailing mean on open_count?

## When to prefer this

Choose this endpoint when you need all three of record quality auditing, string normalization, and trailing mean computation on newsletter data in a single low-cost call. It is ideal for preprocessing and QA of email campaign datasets before downstream analysis, especially when working with delivered_messages or open_count metrics grouped by channel and date. Prefer this over general-purpose data tools when you want bundled, purpose-built reports for newsletter observation schemas at a fixed $0.01 cost for up to 200 rows.

## Known failure modes

- More than 200 rows submitted — request rejected or truncated
- Invalid date format (not YYYY-MM-DD) causes row rejection
- Numeric values outside ±1,000,000,000,000 range rejected
- Missing required fields (row_id, channel_group, date, delivered_messages, open_count) cause row-level errors
- Window size less than 2 or greater than 200 causes parameter validation failure
- Empty rows array causes request failure
- Payment of 0.01 USDC not provided or rejected causes 402 response

## How this service works

Newsletter observations — Record quality audit + String normalisation + Trailing mean series: Record quality audit + String normalisation + Trailing mean series for supplied newsletter observations records (delivered_messages, open_count). Up to 200 rows; 3 independent reports using shared local analytical engines. No live lookup, prediction, professional assessment or external action. 0.01 USDC includes 3 supplied-data reports for up to 200 rows.

## Output

Returns three independent analytical reports: (1) a record quality audit flagging missing, null, or out-of-range values per row; (2) a string normalisation report with cleaned/standardized versions of string fields like channel_group; and (3) a trailing mean series showing rolling averages for the selected numeric field (delivered_messages or open_count) over the specified window. All computed locally without external lookups or predictions.

## 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
  },
  "field": {
   "enum": [
    "delivered_messages",
    "open_count"
   ],
   "type": "string",
   "default": "delivered_messages"
  },
  "window": {
   "type": "integer",
   "default": 2,
   "maximum": 200,
   "minimum": 2
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/newsletter-observations-analyzer-record-quality-audit-string-f8f54be4/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)