# Redirect Observations Analyzer — String Normalisation + Keyed Dataset Comparison

> Redirect Observations Analyzer — String Normalisation + Keyed Dataset Comparison is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-30).

Analyzes up to 200 rows of redirect observation records (redirect_count, final_status_code) using string normalization and keyed dataset comparison across two supplied datasets, returning 2 independent analytical reports.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-web-14-036?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-30
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/redirect-observations-analyzer-string-normalisation-keyed-dataset-7e1acf59
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_kweBDRIBVuQPlldaWBD9u

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-string-normalisation-keyed-dataset-7e1acf59 -d '<json body>'
```

Example prompt: I have two sets of redirect observation records — each with site_group, date, redirect_count, and final_status_code — and I want to normalize the strings and run a keyed comparison between the two datasets to spot differences. Can you process up to 200 rows across both sets and give me 2 reports?

## When to prefer this

Choose this endpoint when you have two structured datasets of web redirect observations and need both string normalization and a keyed row-by-row comparison in a single low-cost call. It is ideal for auditing redirect behavior changes, validating data pipeline outputs, or comparing redirect metrics across site groups without requiring any live lookups or external data sources. At $0.01 USDC for 2 reports on up to 200 rows, it is cost-effective for batch offline analysis of redirect tracking data.

## Known failure modes

- More than 200 rows submitted — request rejected or truncated
- Missing required fields (row_id, site_group, date, redirect_count, final_status_code) cause validation errors
- Invalid date format (non-YYYY-MM-DD) fails schema pattern check
- row_id exceeds 80 character limit causing rejection
- Mismatched row_ids between 'rows' and 'other' datasets may result in incomplete comparison
- Null numeric values for redirect_count or final_status_code may affect comparison accuracy

## How this service works

Redirect observations — String normalisation + Keyed dataset comparison: String normalisation + Keyed dataset comparison for supplied redirect observations records (redirect_count, final_status_code). 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: one covering string normalization of the supplied redirect observation records, and one providing a keyed dataset comparison between the 'rows' and 'other' input datasets, highlighting differences in redirect_count and final_status_code values by row_id, site_group, and date.

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

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/redirect-observations-analyzer-string-normalisation-keyed-dataset-7e1acf59/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)