# URL Canonicalization — Exact Row Deduplication + Explicit Missing-Value Fill

> URL Canonicalization — Exact Row Deduplication + Explicit Missing-Value Fill is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-26).

Deduplicates exact rows and fills missing values in URL canonicalization datasets (observed_urls, unique_urls) for up to 200 rows, returning 2 analytical reports.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-web-20-054?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-26
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/url-canonicalization-exact-row-deduplication-explicit-missing-value-dc6c78ac
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_6cuaQFhwxv-fGQv4kqCjR

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 url-canonicalization-exact-row-deduplication-explicit-missing-value-dc6c78ac -d '<json body>'
```

Example prompt: Clean up my URL canonicalization records — I have 4 rows across site groups 'group-a' and 'group-b' with dates from 2026-10-01 to 2026-10-04, some missing observed_urls values. Remove any exact duplicate rows and fill the missing observed_urls values using the median method, then give me the 2 reports.

## When to prefer this

Choose this endpoint when you have tabular URL canonicalization data (observed_urls and unique_urls columns) up to 200 rows that needs both exact duplicate removal and null/missing value imputation in a single low-cost call. It is ideal for pre-processing web analytics or SEO crawl datasets before downstream analysis. Prefer this over general-purpose data cleaning tools when your data specifically contains URL observation counts by site group and date, and you need the two combined reports (deduplication + fill) in one shot at $0.01 USDC.

## Known failure modes

- More than 200 rows submitted — input is capped at 200 items
- Missing required fields (row_id, date, site_group) — validation error
- Invalid date format not matching YYYY-MM-DD pattern — schema rejection
- Field enum value not in ['observed_urls','unique_urls'] — rejected
- Method enum value not in ['zero','mean','median'] — rejected
- Empty rows array (minItems:1 not met) — schema error

## How this service works

URL canonicalization — Exact row deduplication + Explicit missing-value fill: Exact row deduplication + Explicit missing-value fill for supplied url canonicalization records (observed_urls, unique_urls). 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 covering: (1) exact row deduplication results showing which rows were removed as duplicates, and (2) explicit missing-value fill results showing which cells in the target field (observed_urls or unique_urls) were filled using the chosen method (zero, mean, or median). All processing is local with no external lookups.

## Request schema (JSON Schema)

```json
{
 "type": "object",
 "properties": {
  "rows": {
   "type": "array",
   "items": {
    "type": "object",
    "required": [
     "row_id",
     "site_group",
     "date",
     "observed_urls",
     "unique_urls"
    ],
    "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
     },
     "unique_urls": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     },
     "observed_urls": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     }
    },
    "additionalProperties": false
   },
   "default": [
    {
     "date": "2026-10-01",
     "row_id": "row-1",
     "site_group": "group-a",
     "unique_urls": 1,
     "observed_urls": 10
    },
    {
     "date": "2026-10-02",
     "row_id": "row-2",
     "site_group": "group-b",
     "unique_urls": 2,
     "observed_urls": 20
    },
    {
     "date": "2026-10-03",
     "row_id": "row-3",
     "site_group": "group-a",
     "unique_urls": 3,
     "observed_urls": 15
    },
    {
     "date": "2026-10-04",
     "row_id": "row-4",
     "site_group": "group-b",
     "unique_urls": 4,
     "observed_urls": 30
    }
   ],
   "maxItems": 200,
   "minItems": 1
  },
  "field": {
   "enum": [
    "observed_urls",
    "unique_urls"
   ],
   "type": "string",
   "default": "observed_urls"
  },
  "method": {
   "enum": [
    "zero",
    "mean",
    "median"
   ],
   "type": "string",
   "default": "median"
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/url-canonicalization-exact-row-deduplication-explicit-missing-value-dc6c78ac/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)