# Redirect Observations Analyzer — Record Quality Audit, String Normalisation & Trailing Mean Series

> Redirect 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 2026-11-02).

Runs three analytical reports (record quality audit, string normalisation, and trailing mean series) on redirect observation data containing redirect counts and final HTTP status codes, for up to 200 rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-web-14-199?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/redirect-observations-analyzer-record-quality-audit-string-63a3f206
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_i973wvjuf81bXlGfx-NCc

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 redirect-observations-analyzer-record-quality-audit-string-63a3f206 -d '<json body>'
```

Example prompt: Can you run a record quality audit, string normalisation, and trailing mean series (window=3) on my redirect observation data — I have rows with redirect_count and final_status_code grouped by site, and I want to analyze redirect_count specifically, up to 50 rows?

## When to prefer this

Choose this endpoint when you need a combined data-quality, normalisation, and rolling-average analysis on redirect observation records in a single low-cost call. It is ideal for web analytics pipelines where redirect_count and final_status_code data needs auditing and smoothing before further processing, and when you want all three reports for a flat fee rather than calling separate services.

## Known failure modes

- Submission of more than 200 rows results in rejection
- Missing required fields (row_id, site_group, date, redirect_count, final_status_code) cause validation errors
- Invalid date format (not YYYY-MM-DD) rejected by schema
- Window size outside 2–200 range is rejected
- Numeric values outside allowed range cause schema validation failure
- Empty rows array not accepted (minimum 1 row required)

## How this service works

Redirect observations — Record quality audit + String normalisation + Trailing mean series: Record quality audit + String normalisation + Trailing mean series for supplied redirect observations records (redirect_count, final_status_code). 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

Three independent analytical reports derived from the submitted redirect observation rows: (1) a record quality audit flagging data issues, (2) a string normalisation report for text fields, and (3) a trailing mean series computed over the specified numeric field (redirect_count or final_status_code) using the given window size. All computed locally with no external lookups.

## Request schema (JSON Schema)

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

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/redirect-observations-analyzer-record-quality-audit-string-63a3f206/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)