Choosing a Website Classification API for Crime & Justice

You need to automatically detect and act on Crime & Justice content in your stack—whether that’s blocking it on a corporate network, enforcing brand safety for ad placements, or enriching a signup domain with compliance context. By the end of this guide, you’ll send a single request to Klazify’s categorize endpoint, parse the response for category labels (IAB included), and wire a simple yes/no decision into your pipeline with caching and batching strategies.

Why Klazify is a strong fit for Crime & Justice classification

Crime & Justice content can be nuanced: court information portals, legal aid organizations, law enforcement agencies, investigative journalism, and policy analysis can appear similar at a glance but serve very different purposes. Klazify’s categorize endpoint analyzes page content, which makes it effective for classifying domains and URLs that discuss legal processes, regulations, criminal justice statistics, and related topics.

• Accurate classification using content analysis: Klazify examines on-page text and structure, not just metadata. That helps differentiate, for example, a law enforcement portal, a legal commentary blog, or a policy think tank page that discusses criminal justice reform.
• Global coverage: Many Crime & Justice resources are multilingual and region-specific. Klazify supports analysis in multiple languages, enabling consistent categorization across international government and NGO sites.
• Real-time classification: Crime & Justice news and advisories change frequently. Klazify provides up-to-date analysis instead of relying solely on a static database snapshot.
• IAB taxonomy mapping: You get industry-standard IAB mapping alongside the category path, making it simpler to align with ad tech and brand safety workflows that already use IAB semantics.
• Simple API integration: A single POST to the categorize endpoint returns categories and useful extras (logo URL, social detection, company data when available) that you can plug into enrichment, filtering, or analytics.
• Compliance and filtering controls: Use the returned category paths to create block/allow logic for corporate filtering, K-12 protection, or brand safety exclusion lists focused on Crime & Justice topics.

If you’re building an allowlist for public-sector portals, a blocklist for law enforcement-sensitive topics, or auditing where ads may appear, Klazify’s fields give you the essential signals to act decisively. Explore the product and documentation on Documentation and create a free account via Register.

Common scenarios: blocking, brand safety, and enrichment

Here are three concrete outcomes teams typically implement with Crime & Justice classification:

• Network/content filtering: Identify and block Crime & Justice categories in a school or corporate network while allowlisting official court and legal aid resources.
• Brand safety: Exclude ad placements on pages labeled under sensitive Crime & Justice topics that your brand policy restricts, while allowing contextual placements for legal services.
• Signup/domain enrichment: When a user signs up with a business email or domain, tag the account if it’s related to Crime & Justice (e.g., law firm, public defender office, policy organization) to route to the right sales or compliance flow.

Make a POST to /api/categorize

The categorize endpoint returns categories (including IAB mapping when available), a logo URL, related company information (if detected), domain registration data, and similar domains. Use Bearer authentication and include the URL you want to classify in the JSON body.

curl -X POST "https://www.klazify.com/api/categorize" \
-H "Authorization: Bearer YOUR_API_KEY" \
-H "Content-Type: application/json" \
-d '{"url": "https://www.justice.gov/"}'

Notes:

• Use a full URL or a domain. For some use cases (e.g., media sites with mixed content), send page-level URLs for more precise classification.
• Send your requests over HTTPS. Use a single API key per environment and rotate periodically.
• Retry policy: Implement idempotent retries with exponential backoff on transient network errors.

Official sample response and how to read it

Below is an official example response format. Use it to understand the fields you’ll integrate. The categories will vary for Crime & Justice websites (the example below shows a technology brand), but the structure and keys are the same.

{
"domain": {
"categories": [
{
"confidence": 0.92,
"name": "/Computers & Electronics/Consumer Electronics",
"IAB-632-596": "Consumer Electronics/Technology & Computing/Consumer Electronics"
},
{
"confidence": 0.89,
"name": "/Internet & Telecom/Mobile & Wireless/Mobile Phones"
}
],
"social_media": null,
"logo_url": "https://klazify.s3.amazonaws.com/2110787991611585019600ed5fb1d1300.04730104.png"
},
"success": true,
"objects": {
"company": {
"url": "https://www.apple.com/",
"name": "Apple",
"city": "Cupertino",
"stateCode": "CA",
"countryCode": "US",
"employeesRange": "100K+",
"revenue": 274515000000,
"raised": null,
"tags": [
"E-commerce",
"Consumer Electronics",
"Mobile",
"B2C"
],
"tech": [
"omniture_adobe_analytics",
"atlassian_confluence",
"successfactors",
"apache_apex",
"talend",
"oracle_peoplesoft",
"salesforce",
"stripe",
"dell_boomi_atomsphere",
"gigya",
"sage_50cloud",
"quickbooks",
"webmethods",
"apache_tomcat",
"alteryx",
"tibco_rendezvous",
"atlassian_jira",
"..."
]
}
},
"domain_registration_data": {
"domain_age_date": "1987-02-19",
"domain_age_days_ago": "13026",
"domain_expiration_date": "2030-02-20",
"domain_expiration_days_left": "123"
},
"similar_domains": [
"bestbuy.com",
"icloud.com",
"microsoft.com",
"macrumors.com",
"google.com",
"samsung.com",
"twitter.com",
"hp.com",
"bhphotovideo.com",
"dell.com"
]
}

How to use the fields for Crime & Justice decisions:

• domain.categories: A list of category objects with a path-like name and a confidence score. For Crime & Justice workflows, compare each category’s name (and, when present, the IAB mapping key/value) against your allowlist/blocklist rules.
• domain.categories[].confidence: Useful for thresholding. For example, require at least one category above your minimum confidence to make a block/allow decision; otherwise, queue for review or re-crawl later.
• domain.categories[].IAB-...: IAB taxonomy mapping. If your ad tech or policy uses IAB, map directly from this value. If missing for a category, fall back to the name path.
• domain.logo_url: Display a recognizable logo in admin consoles or review tools, especially when moderating edge cases.
• objects.company: When available, enrich a signup or CRM record with name, location, size, and tags. For Crime & Justice use cases, this helps route law firms or public-sector agencies appropriately.
• domain_registration_data: Age and expiration are helpful signals for risk scoring and prioritizing manual review for new or expiring domains.
• similar_domains: Use as discovery input: if one domain is categorized under Crime & Justice, similar domains may deserve the same policy.

Python example: turn categories into a Crime & Justice yes/no

The snippet below sends a URL to the categorize endpoint, reads category paths and optional IAB mappings, and returns a boolean decision. Plug in your own rules by listing the category paths or IAB labels that constitute “Crime & Justice” for your policy. The code is agnostic to specific names so you can maintain rules outside of code.

import json
import os
import time
import requests

API_KEY = os.getenv("KLAZIFY_API_KEY", "YOUR_API_KEY")
ENDPOINT = "https://www.klazify.com/api/categorize"

# Define your organization's policy mapping.
# Use explicit paths or IAB labels you consider "Crime & Justice".
# Keep this in a config file or DB in production.
CRIME_JUSTICE_PATTERNS = [
# Example patterns (replace with your real taxonomy, case-sensitive or normalized):
# "/Society/Crime", "/Government & Legal/Law", "IAB-XYZ: Crime & Justice"
]

MIN_CONFIDENCE = 0.7 # adjustable per your policy

def is_crime_justice(cat_name: str, iab_value: str | None) -> bool:
# Implement whatever matching you prefer: exact, prefix, regex.
# Here we use simple containment checks against configured patterns.
targets = CRIME_JUSTICE_PATTERNS
fields = [cat_name]
if iab_value:
fields.append(iab_value)
full = " | ".join([f for f in fields if f])
return any(pat in full for pat in targets)

def classify_url(url: str) -> dict:
headers = {
"Authorization": f"Bearer {API_KEY}",
"Content-Type": "application/json"
}
body = {"url": url}
resp = requests.post(ENDPOINT, headers=headers, data=json.dumps(body), timeout=20)
resp.raise_for_status()
return resp.json()

def decision_from_response(payload: dict) -> bool:
# Default to False (not Crime & Justice) unless a rule passes with enough confidence
categories = payload.get("domain", {}).get("categories", []) or []
for c in categories:
name = c.get("name", "")
confidence = c.get("confidence", 0.0) or 0.0

# Each category may or may not include an IAB-mapped key. Iterate keys to find any "IAB-" mapping.
iab_value = None
for k, v in c.items():
if isinstance(k, str) and k.startswith("IAB-"):
iab_value = v
break

if confidence >= MIN_CONFIDENCE and is_crime_justice(name, iab_value):
return True
return False

if __name__ == "__main__":
test_url = "https://www.justice.gov/"
data = classify_url(test_url)
is_cj = decision_from_response(data)
print(json.dumps({
"url": test_url,
"crime_justice": is_cj,
"categories": data.get("domain", {}).get("categories", [])
}, indent=2))

Implementation tips:

• Keep your pattern list in a central config so policy teams can update it without code changes.
• Use a minimum confidence threshold and a fallback workflow (e.g., queue for review) for low-confidence matches.
• If a site mixes content types heavily, prefer classifying the specific URL instead of the root domain.

Plug it into your pipeline: caching, batching, and unknown domains

Caching and TTLs per domain or URL

Cache results keyed by normalized domain and, when relevant, by full URL. Recommended practices:

• Normalize inputs: lowercase, strip tracking query parameters where safe, and canonicalize “www.” vs apex domain when you intend domain-level decisions.
• Set different TTLs for domains vs URLs. Homepages change less often than news articles; pick a longer TTL for stable resources (e.g., court portals) and shorter TTL for dynamic content.
• Invalidate or refresh cache when your policy mapping changes.

Handling unknown or new domains

• Newly registered domains (use domain_age_date and domain_age_days_ago) may deserve a conservative decision, a shorter TTL, or a manual review queue.
• Use similar_domains to prefetch and classify related sites, filling your cache proactively.
• If you get no categories or low confidence across the board, re-try later or submit a specific page URL that has more content than a sparse homepage.

Batching and throughput

• Batch calls by queueing domains and sending them at a steady rate to stay within your operational limits. If you have spikes (e.g., log ingestion), implement buffering and backoff.
• Parallelize with a controlled concurrency pool. Use per-host connection reuse to reduce latency (HTTP keep-alive).
• Deduplicate inputs in your batch job to avoid redundant classification within the TTL window.

Mapping to your own taxonomy

• Use domain.categories[].name as a hierarchical path to map to your internal categories. Many teams store a simple table of “external_path_prefix → internal_label → decision”.
• When IAB mappings are present (e.g., an “IAB-...” key), prefer those for ad tech or brand safety pipelines already aligned to IAB. Fall back to the path name if IAB is not available on a category.
• Keep a safety net: if multiple categories are returned and they disagree, choose the most conservative action or weight by confidence.

Operating at scale and maintaining quality

• Latency: For synchronous user flows (e.g., signup enrichment), consider an “optimistic UI + async enrichment” pattern if the call becomes the critical path. Cache common domains to reduce repeated lookups.
• Retries and backoff: Use exponential backoff with jitter for transient errors. Avoid retry storms by implementing circuit breakers.
• Monitoring: Track category distribution over time. If the share of Crime & Justice classifications suddenly spikes for a traffic source, investigate the upstream feed or content changes.
• Data retention: Store only the fields you need (e.g., categories, confidence, and a timestamp). This keeps your profile lean and privacy-conscious.
• Review loop: Sample low-confidence classifications weekly and adjust your threshold or pattern list based on findings.

Working examples: which fields drive which outcome

Security, compliance, and auditability considerations

• Determinism: Store the raw response JSON alongside your computed decision and the ruleset version. This makes audits reproducible.
• Versioning: Track changes to your CRIME_JUSTICE_PATTERNS and confidence threshold. When either changes, recalculate historical decisions as needed.
• Privacy: If you ingest end-user browsing URLs, follow your organization’s data minimization and retention standards. Consider hashing or truncating paths that aren’t necessary for policy decisions.

Quick start checklist

• Create a free account: Register.
• Send your first POST to /api/categorize with a Crime & Justice URL (e.g., an official court or justice department page).
• Parse domain.categories and any IAB mapping in your code. Apply your threshold and policy mapping.
• Cache per domain/URL with an appropriate TTL. Implement retries with backoff.
• Set up monitoring for category drift and low-confidence rates. Establish a manual review loop.

FAQ

Does Klazify classify specific pages or just domains?
Both are supported. Send the exact URL when a site has mixed content and you need page-level precision; otherwise, send the root domain for broad classification and longer-lived caching.

How do I map Klazify’s categories to my internal “Crime & Justice” label?
Maintain a mapping table of external category path prefixes and IAB labels to your internal tags. Your decision engine should check all returned categories and select allow/block based on confidence thresholds.

What if a site returns no IAB mapping?
Use the category name path. If you require IAB for certain pipelines, fall back to a conservative decision and flag the site for review or re-crawl.

Can I enrich signups with more than categories?
Yes. When available, use objects.company to add organization details such as name, location, employee range, and tags. This is helpful for routing leads from legal or public-sector domains.

How should I handle rate limits?
Implement queuing and controlled concurrency. Batch inputs, deduplicate within your cache TTL, and apply exponential backoff on transient failures. See the Documentation for integration specifics.

Get started in minutes: read the Documentation, explore the MCP page for more capabilities, and Register for a free account on Klazify to plug domain classification into your filtering, brand safety, and enrichment workflows.