Comparing URL Classification API Models for Crime & Justice

You need to automatically identify and act on Crime & Justice content: block it on a school network, keep ads away from it, or enrich a CRM record when a signup uses a justice-related domain. By the end of this guide you will call Klazify’s categorize endpoint, read the returned categories (including IAB mappings), and plug a clear yes/no Crime & Justice decision into your pipeline—plus handle batching, caching, and unknown domains reliably.

Why Klazify works well for Crime & Justice content

Klazify analyzes the content of a page or domain and maps it to industry-standard categories, including IAB taxonomy. That matters for Crime & Justice because many justice-related sites have mixed content (e.g., legal resources, court announcements, policy briefs) and frequently updated pages.

Illustration: Comparing URL Classification API Models for Crime & Justice

Accurate website categorization using AI: Klazify evaluates on-page content rather than only metadata, helping distinguish, for example, a policy research center from a legal aid organization or a law-enforcement bulletin page.
Global coverage: Crime & Justice content spans jurisdictions and languages; Klazify supports multilingual analysis so you can maintain consistent categorization policies across countries.
Real-time classification: Justice news, advisories, and case updates change quickly; fresh classification helps you avoid relying on stale directories.
Industry-level categories: IAB taxonomy support enables you to express brand-safety and compliance rules using well-known, granular categories relevant to legal and government contexts.
Simple API integration: A single REST endpoint returns categories, company data, logo, social links, and related signals—handy when you must enrich signups or vendor domains and make a single decision in the same pass.
Compliance and filtering: Consistent categorization helps enforce acceptable-use policies in education, public WiFi, and enterprise environments where justice-related content requires specific handling.

If you want to explore the API quickly, visit klazify.com, and when you’re ready to try it on your traffic or leads, Register for a free account.

Scenario: blocklists, brand safety, and enrichment for Crime & Justice

Most teams evaluating Crime & Justice content share three operational goals:

Network/content filtering: Decide whether to block, allow, or soft-warn when a domain falls into justice-related categories (e.g., courts, law resources, case data) that your policy addresses specifically.
Brand safety: Exclude justice-related categories from ad placements or tighten bidding strategies when your brand or campaign requires it.
Lead enrichment: When a user signs up with a domain tied to justice or legal industries, annotate your CRM record with category tags and company attributes to route them to the right product tier or sales team.

Each of these requires a clear mapping from Klazify’s returned category fields to your internal taxonomy (“Crime & Justice” as a top-level flag) and a deterministic decision function to produce yes/no outcomes and audit logs.

Make a categorization request

Use the categorize endpoint to classify a domain or page. Below is a complete curl request that sends a well-known justice-related URL. Replace YOUR_API_KEY with your token.

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"
}'

The API inspects the URL and returns a JSON object that includes the detected categories and other domain intelligence. You’ll use the categories array and any IAB mapping provided to drive policy decisions. You can also store logo_url and company fields for UX and enrichment.

See the Documentation for the full parameter and response reference, and visit klazify.com for product overview.

Example response and how to interpret it

Below is the official example response format. Your production responses will contain categories appropriate to the URL you submit.


{
"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 these fields for Crime & Justice workflows:

domain.categories: Each item has a hierarchical name and a confidence score. Your policy engine should scan the name field and, when present, any IAB mapping keys (e.g., keys like IAB-632-596 that contain a string path) to determine if the URL aligns with your definition of “Crime & Justice.” Maintain a deterministic mapping from returned paths to your internal flag.
confidence: Use it to set thresholds or to trigger manual review when the category is near your policy boundary.
logo_url: Useful for UI labels in admin consoles, audit dashboards, or CRM records.
objects.company: Enrich signups or vendor evaluations with location, size, revenue, tags, and technologies detected from the domain. This helps with routing or priority scoring.
domain_registration_data: Helpful for risk scoring and recrawl policies; recently registered domains may need more frequent re-checks.
similar_domains: Expand allow/deny scopes by inspecting adjacent domains for continuous coverage and to reduce gaps in brand safety exclusions.

Turn categories into a Crime & Justice decision

Below is a Python example that calls the same endpoint and maps the categories into a yes/no decision for “Crime & Justice.” Instead of hardcoding external category names, it shows how to compare results against your internal taxonomy configuration. You control the mapping and thresholds.

import os
import json
import time
import requests
from typing import Dict, List, Any

KLAZIFY_API_KEY = os.getenv("KLAZIFY_API_KEY", "YOUR_API_KEY")
KLAZIFY_URL = "https://www.klazify.com/api/categorize"
TIMEOUT = 20

# Your internal taxonomy mapping. Do NOT hardcode external category names here.
# Instead, populate these sets from a configuration service or DB that stores
# the external category paths to treat as Crime & Justice.
INTERNAL_CRIME_JUSTICE_PATHS = set() # e.g., external category 'name' paths
INTERNAL_CRIME_JUSTICE_IAB_PATHS = set() # e.g., IAB mapping strings

# Confidence thresholds for decisions
THRESHOLD_ALLOW = 0.60 # example threshold to accept a category as decisive

def categorize(url: str) -> Dict[str, Any]:
headers = {
"Authorization": f"Bearer {KLAZIFY_API_KEY}",
"Content-Type": "application/json",
}
payload = {"url": url}
resp = requests.post(KLAZIFY_URL, headers=headers, data=json.dumps(payload), timeout=TIMEOUT)
resp.raise_for_status()
return resp.json()

def extract_category_signals(payload: Dict[str, Any]) -> List[Dict[str, Any]]:
cats = payload.get("domain", {}).get("categories", []) or []
signals = []
for c in cats:
name = c.get("name")
confidence = c.get("confidence", 0.0)
# Collect any IAB mapping strings, which are exposed via keys that start with "IAB-"
iab_strings = []
for k, v in c.items():
if isinstance(k, str) and k.startswith("IAB-") and isinstance(v, str):
iab_strings.append(v)
signals.append({
"name": name,
"confidence": confidence,
"iab_strings": iab_strings
})
return signals

def is_crime_justice(signals: List[Dict[str, Any]]) -> bool:
# Decision: if any category name or IAB path is in our internal mapping
# with enough confidence, flag as Crime & Justice.
for s in signals:
if s["confidence"] >= THRESHOLD_ALLOW:
if s["name"] in INTERNAL_CRIME_JUSTICE_PATHS:
return True
for iab in s["iab_strings"]:
if iab in INTERNAL_CRIME_JUSTICE_IAB_PATHS:
return True
return False

def main():
test_url = "https://www.justice.gov"
data = categorize(test_url)
signals = extract_category_signals(data)
decision = is_crime_justice(signals)

print(f"URL: {test_url}")
print("Detected categories:")
for s in signals:
print(f" - {s['name']} (confidence={s['confidence']})")
for iab in s["iab_strings"]:
print(f" IAB: {iab}")
print(f"Crime & Justice? {'YES' if decision else 'NO'}")

# Optional enrichment
company = (data.get("objects") or {}).get("company") or {}
if company:
print("Company enrichment:")
print(json.dumps(company, indent=2))

if __name__ == "__main__":
main()

How to wire this into your system:

Populate INTERNAL_CRIME_JUSTICE_PATHS with the external category name paths your policy considers “Crime & Justice.”
Populate INTERNAL_CRIME_JUSTICE_IAB_PATHS with IAB mapping strings you treat as “Crime & Justice.”
Tune THRESHOLD_ALLOW to trigger decisions only when confidence is sufficient.
Log positive matches and include the category name, IAB string, and confidence in your audit trail.

Field-to-action mapping in a Crime & Justice pipeline

Field	Example usage	Resulting action
domain.categories[].name	Match name to your Crime & Justice mapping table	Block/allow/warn; set “crime_justice=true” flag in events
domain.categories[].confidence	Compare to threshold; trigger review near boundary	Auto-decide or queue for human review
domain.categories[].IAB-*	Extract IAB mapping string paths as secondary signals	Reinforce or override name-based decision
objects.company	Enrich CRM: name, location, size, revenue, tags, tech	Route to vertical team; tailor onboarding
domain_registration_data	Adjust recrawl frequency by domain age or expiration	Prioritize fresh classifications for new domains
similar_domains[]	Expand allow/deny groups	Fewer misses; tighter brand safety
domain.logo_url	Display trustworthy branding in admin UX	Faster human verification

Operational details that save time

Caching per domain

Cache results keyed by eTLD+1 (e.g., justice.gov) and optionally by full URL when page-level classification matters. Store:

categories array with confidence
IAB mappings
objects.company fields
domain_registration_data for revalidation policies

Set a TTL based on your risk profile. For frequently updated sites, use a shorter TTL; for static informational domains, longer TTLs reduce calls.

Unknown or new domains

Cold start: If a domain isn’t in cache, query Klazify and soft-hold the decision if your business requires a conservative stance until a response arrives.
Fallbacks: When categories are empty, treat the domain as “unknown” and escalate to manual review or a safe default (e.g., soft-block for high-risk environments).
First-seen prioritization: For domains with very recent registration dates, recheck more often until stable categorization is observed.

Batching and throughput

Queueing: Use a work queue to de-duplicate per-domain lookups when multiple events arrive concurrently.
Parallelization: Run multiple workers respecting your account’s rate limits; backoff on HTTP 429 or other transient network errors.
Auditability: Write all decisions with the original categories, IAB strings, confidences, and timestamps to make later reviews simple.

For rate limits and pagination details, consult the API Documentation. Build a small retry and backoff utility to handle temporary throttling gracefully.

Mapping categories to your taxonomy

The critical step is maintaining a robust mapping from Klazify categories to your internal “Crime & Justice” flag. Practical tips:

Store external category paths and IAB mapping strings in a centralized config store with versioning.
Include comments and reasoning for each mapping (e.g., policy reference IDs) so future reviewers understand why a category is included.
Implement a review workflow: proposed changes in staging, sampled traffic tests, then production rollout with observability for false positives/negatives.
Keep a small “exceptions” table for high-value domains that need an override independent of their detected categories.

Three concrete integrations

1) Network/content blocking

At request time: Normalize URL to domain; lookup cache; if miss, call API.
Decision: Check categories and IAB strings against your Crime & Justice mapping and confidence threshold.
Action: Block, warn, or allow. Log the chosen category path and confidence for review.
Optimization: Prefetch/recache top domains seen during business hours to reduce median latency.

2) Brand-safety exclusions in ad tech

During bid/request processing: Evaluate the page URL with Klazify or a cached decision.
Decision: If Crime & Justice, either exclude entirely or bid down, depending on campaign policy.
Reporting: Aggregate impressions/blocks by category path to tune policies over time.

3) Signup and lead enrichment

On form submit: Extract domain from email or website input; run categorize if not cached.
Enrichment: Attach categories and objects.company fields to the lead record.
Routing: If mapped as Crime & Justice, route to specialized vertical onboarding or compliance review.

Handling page-level vs. domain-level classification

Some justice-related sites include diverse sections (e.g., general info, legal documents, case updates). You may:

Default to domain-level classification for coarse controls and latency savings.
Enable page-level classification for high-risk contexts where a particular path requires different handling than the rest of the site.
Cache page-level results with a shorter TTL than domain-level caches to reflect fast-changing pages.

Testing and monitoring strategy

Seed lists: Build evaluation sets for known Crime & Justice domains and neutral domains. Re-run periodically to detect drift.
Threshold tuning: Plot confidence distributions for matches and near-misses to select stable thresholds per environment.
Change management: Whenever your mapping config changes, run canary tests against recent traffic before a full rollout.
Observability: Track error rates, response times, cache hit rates, and decision outcomes by category to quickly spot anomalies.

Security and compliance considerations

Authentication: Use Bearer tokens, rotate API keys regularly, and restrict access to egress IPs where possible.
Data handling: Do not log full URLs that may include sensitive parameters; log eTLD+1 and necessary path components for audit.
Retention: Retain categorization results for as long as needed to support audits and troubleshooting, then purge per your policy.

Frequently asked questions

Q1: Can I classify a specific page instead of the whole domain?
Yes. Send the full page URL to the categorize endpoint. For large sites with varied content, page-level classification can yield more precise decisions. Use a shorter TTL for page-level cache entries.

Q2: How do I handle responses without IAB mapping keys?
Rely on the category name and confidence first. If an IAB mapping is present (exposed via keys that start with “IAB-”), use it as a reinforcing signal. Your internal mapping should support either or both.

Q3: How often should I reclassify domains?
Base recrawl frequency on domain behavior and your risk profile. Heavily updated sites, newly registered domains, or policy-sensitive pages warrant more frequent rechecks. Stable informational sites can use longer TTLs.

Q4: What about batching and rate limits?
Implement a queue and worker pool that de-duplicates requests per domain and backs off on throttling responses. Cache aggressively to reduce calls. Consult the API Documentation for official guidance.

Q5: Can I map Klazify categories to my own taxonomy?
Yes. Maintain a mapping table from category names and IAB strings to your internal Crime & Justice flag. Version this mapping, test changes on sampled traffic, and log all decisions for audits.

Ready to classify and act on Crime & Justice content with a single API call? Create your account now: Register. For implementation details, explore the MCP and API Documentation.