Crime & Justice Website Classification API Error Handling Strategies

You need to reliably detect and act on Crime & Justice content across your stack—blocking certain sites on corporate networks, protecting brand safety in ad placements, or enriching signups with domain context—without breaking your pipeline when an API call fails. By the end of this guide, you’ll have a production-ready path to classify domains using Klazify’s categorize endpoint, implement resilient error handling, and turn the response into a yes/no decision for Crime & Justice policies.

Why Klazify is a strong fit for Crime & Justice content

Classifying Crime & Justice content is tricky: sites range from official government portals and legal journals to NGO reports and news investigations. You need coverage across languages, the ability to inspect on-page content (not just WHOIS), and categories that map to industry standards you can trust.

• Accurate website categorization using AI: Klazify analyzes page content and structure, which helps surface nuanced Crime & Justice signals present in articles, legal resources, court pages, or public safety updates.
• Global coverage: Crime & Justice sources are international—ministries of justice, regional court systems, and investigative outlets in many languages. Klazify processes multilingual content so your policy isn’t restricted to a single region.
• Real-time classification: News and legal resources update frequently. Klazify analyzes live content rather than relying on stale snapshots, helping you catch category shifts.
• Industry-level categories via IAB taxonomy: Results map to an industry-standard hierarchy, enabling safer ad placement and consistent reporting without inventing bespoke labels.
• Simple API integration: One REST endpoint you can drop into enrichment, brand safety, or content filtering services. You’ll see how to POST a URL and extract categories below.
• Compliance and filtering workflows: Combine category names with confidence scores to automate block/allow decisions, or to queue a review for edge cases.

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End-to-end path: classify, decide, and handle failures

Here’s the working path you can implement today:

1. Send each target URL (e.g., a publisher page or a signup’s domain) to Klazify’s categorize endpoint.
2. Parse categories, confidence, and related metadata from the JSON response.
3. Map categories to your internal “Crime & Justice” policy label (details below). Return allow/block or route to review.
4. Cache results per domain to control latency and cost; refresh on a schedule or when your policy changes.
5. Apply robust error handling: detect timeouts and partial responses, retry transient failures, and default to a safe policy when results are unknown.

We’ll use a simple yes/no decision as an example, but the same pattern works for multi-tier brand safety or enrichment rules.

Make the classification request (POST /api/categorize)

To classify a URL, POST it to the categorize endpoint with Bearer auth. Below is a copy-pasteable curl using a government justice portal as an example 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" \
--data '{"url":"https://www.justice.gov/"}'

Use this in production flows where you need a page-level decision (e.g., article pages) or a domain-level decision (e.g., signin domain). If you only have a domain, pass that; if you have a specific content URL, prefer that for finer classification.

Refer to the Documentation for full parameter and field details.

Understand the JSON response and what to use

Below is the official example response format. Use it to see what fields you’ll parse in your code. Do not modify field names when you implement.

{
"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 decisions:

• domain.categories: Array of category objects. You’ll read category.name (hierarchical name) and confidence. You’ll map these names to your internal “Crime & Justice” policy rule set. Confidence enables thresholds and review queues.
• domain.categories[].IAB-632-596: Example of an IAB taxonomy mapping. Where present, use this to anchor categories to an industry standard taxonomy for your reports and ad controls.
• domain.logo_url: Use to enrich CRM or admin UIs when reviewing decisions or auditing traffic.
• success: Check this first. If false or missing expected fields, apply fail-safe logic (block, allow with warning, or review) per your environment.
• objects.company: Company metadata you can store for enrichment—e.g., name, location, tags, and observed tech.
• domain_registration_data: Helpful for trust signals, fraud triage, and exception workflows on very new domains.
• similar_domains: Useful for discovery and coverage expansion—classify these related domains with backoff and caching.

Turn categories into a yes/no Crime & Justice decision (Python)

This Python sample shows how to call the API, implement safe retries, and map returned categories to a yes/no “Crime & Justice” label using your own indicators. The mapping logic is intentionally configurable so you can adapt it to your taxonomy without changing the API integration.

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

API_URL = "https://www.klazify.com/api/categorize"
API_KEY = "YOUR_API_KEY"

# Basic in-memory cache keyed by normalized hostname or URL.
CACHE: Dict[str, Dict[str, Any]] = {}

class TransientError(Exception):
pass

def post_categorize(url: str, timeout: float = 8.0, max_retries: int = 3, backoff: float = 0.8) -> Dict[str, Any]:
payload = {"url": url}
headers = {"Authorization": f"Bearer {API_KEY}", "Content-Type": "application/json"}

for attempt in range(1, max_retries + 1):
try:
resp = requests.post(API_URL, headers=headers, json=payload, timeout=timeout)
# Consider 5xx or network hiccups as transient
if 500 <= resp.status_code < 600:
raise TransientError(f"Server error {resp.status_code}")
# For non-2xx responses, return best-effort JSON for downstream policy
resp.raise_for_status()
data = resp.json()
return data
except (requests.Timeout, requests.ConnectionError, TransientError) as e:
if attempt == max_retries:
raise
time.sleep(backoff * attempt)
except requests.HTTPError:
# Return structured JSON when possible; otherwise bubble up
try:
return resp.json()
except Exception:
raise

def extract_categories(data: Dict[str, Any]) -> List[Dict[str, Any]]:
# Defensive parsing: tolerate partial responses
domain = data.get("domain") or {}
return domain.get("categories") or []

def is_crime_justice(categories: List[Dict[str, Any]], indicators: List[str], min_confidence: float = 0.0) -> bool:
# Your policy config: any substring match in category name or available IAB mapping
for cat in categories:
name = (cat.get("name") or "").lower()
# Check any known IAB mapping fields present in the object
iab_values = [str(v).lower() for k, v in cat.items() if k.lower().startswith("iab-")]
for token in indicators:
t = token.lower()
if (t in name) or any(t in i for i in iab_values):
if float(cat.get("confidence", 0.0)) >= min_confidence:
return True
return False

def classify_url(url: str,
indicators: List[str],
min_confidence: float = 0.0,
cache_ttl_seconds: int = 3600) -> Dict[str, Any]:
# Simple cache by URL; you may normalize hostnames and apply TTL in production
entry = CACHE.get(url)
now = time.time()
if entry and (now - entry["ts"] < cache_ttl_seconds):
data = entry["data"]
else:
data = post_categorize(url)
CACHE[url] = {"ts": now, "data": data}

categories = extract_categories(data)
decision = is_crime_justice(categories, indicators, min_confidence=min_confidence)

return {
"url": url,
"decision_crime_justice": decision,
"categories": categories,
"success": data.get("success"),
"logo_url": (data.get("domain") or {}).get("logo_url"),
"domain_registration_data": data.get("domain_registration_data"),
"similar_domains": data.get("similar_domains"),
}

if __name__ == "__main__":
# Configure your internal policy indicators for Crime & Justice mapping.
# Keep this list in a policy store so you can update without code changes.
policy_indicators = [
"crime",
"justice",
"law",
"criminal",
"police",
"court",
"legal"
]
result = classify_url("https://www.justice.gov/", indicators=policy_indicators, min_confidence=0.0)
print(json.dumps(result, indent=2))

Notes:

• Mapping: The indicators array holds the strings that map Klazify categories to your internal “Crime & Justice” label. Keep it in config so policy changes don’t require a deploy.
• Confidence: Use the confidence score as a threshold for automatic actions. For ambiguous cases, send to a review queue.
• Caching: The example uses a simple in-memory cache; in production, use Redis or your preferred store with a TTL that matches how often you need to refresh classifications.
• Error handling: The function retries transient issues with backoff and still returns parseable JSON for non-2xx responses when available.

Operational details that save you time

Caching per domain or URL

Cache by the normalized URL or hostname to reduce latency and request volume. Choose your TTL based on how often the content changes and how strict your policy is. For homepages or institutional sites, longer TTLs are fine; for news articles or dynamic portals, shorter TTLs keep categories fresh.

• Key: Prefer canonical URL if available; otherwise normalize hostnames (lowercase, strip default ports).
• Value: Store the full JSON response so you can avoid re-fetching related fields like similar_domains or company info.
• Invalidation: Proactively refresh high-traffic domains during low-load windows to avoid user-facing latency.

Handling unknown or newly registered domains

When a domain is very new or has limited content, categories may be sparse. Your policy should define what happens when:

• success is false or domain.categories is empty: default to a safe decision (e.g., block for corporate filtering; queue for review for ad safety).
• Only weak signals are present: lower confidence values can trigger a manual check or a temporary block until reclassification.
• Domain age is minimal: use domain_registration_data as an additional triage input if you maintain stricter controls on new domains.

Batching and rate considerations

• Batch input: For data pipelines, build a job that iterates URLs and dispatches concurrent POST requests up to your service limits. Respect backoff on failures.
• De-duplication: Group by hostname before classification to minimize redundant calls. Cache results and fan them out to all dependents.
• Parallelism: Control concurrency with a worker pool and implement jittered retries to smooth load during spikes.

Mapping to your taxonomy (Crime & Justice)

Maintain a centralized rule set that maps Klazify’s category names (and any available IAB mappings within each category object) to your internal “Crime & Justice” label. Use simple substring or full-string matches, and log non-matching categories to continuously refine your mapping.

• Store mapping rules outside code (feature flag, database table, or config file).
• Log false positives/negatives by sampling review outcomes to update mapping terms.
• Use confidence thresholds to separate automatic decisions from human review.

Latency and timeouts

• Per-request timeout: Set a pragmatic timeout in your client and treat timeouts as transient with retries.
• Circuit breaker: If a threshold of failures is observed, open the breaker and serve cached or default decisions for a short period.
• Async enrichment: In signup flows, enqueue enrichment and proceed optimistically when non-blocking; apply the result when it’s ready.

Decision strategies for Crime & Justice policies

Error handling strategies that keep your pipeline stable

• Transport issues (timeouts, DNS, transient disconnects): Retry with exponential backoff and jitter. Cap retries and fail over to cached or default decisions.
• Non-2xx responses: Attempt to parse JSON to read success and any partial fields; fall back to a safe policy if unusable.
• Schema and nullability: Code defensively—check for the existence of domain, categories, and confidence before use. Treat missing fields as unknown.
• Idempotency: For reprocessing jobs, key work items by URL and store the last decision and response hash to avoid repeated classification within the TTL.
• Observability: Log raw categories, confidence, and final decision. Emit counters for empty categories, retries, and defaulted decisions to a dashboard.
• Fail-safe defaults: Define per-surface defaults: strict for filtering, conservative for ad safety, and permissive with review flags for enrichment.

If you operate inside internal tools, expose the category names, confidence values, and any available IAB mapping so analysts can quickly tune your mapping list without redeploying.

Putting it together in real workflows

• Blocking (corporate networks or public WiFi): Classify the requested URL, consult your Crime & Justice mapping, and enforce allow/block. Cache per domain and refresh at set intervals. On transient errors, block or route to a captive page explaining a temporary restriction.
• Brand safety in advertising: Classify the target page pre-bid or pre-placement. If categories hit your Crime & Justice mapping and confidence exceeds your threshold, exclude the inventory; otherwise, allow or route to review.
• Signup enrichment: Classify the email domain or submitted website. Use domain.logo_url, objects.company fields, and domain_registration_data to enrich your CRM. If categories suggest Crime & Justice relevance per your policy, apply custom routing or flagging.

Governance: maintaining your mapping and reviews

• Central policy repository: Store indicator terms and thresholds in a config table; version changes and link them to audit logs.
• Human-in-the-loop: Sample auto-decisions and adjust indicators; add test cases to prevent regressions.
• Discovery: Use similar_domains from the response to expand coverage proactively. Schedule background classification jobs with backoff.

To explore more capabilities (company data, social detection, technology stack, and more), see the MCP page or browse the full Documentation. You can always start testing quickly by creating a free account at Klazify.

FAQ

• How should I cache results? Cache by normalized URL or hostname with a TTL that fits your surface (longer for static institutional sites, shorter for dynamic content). Invalidate on policy changes or when your monitoring flags frequent mismatches.
• What happens if categories are empty or success is false? Treat it as unknown. Apply your fail-safe default (block, allow with logging, or queue for review). Record the event and schedule a recheck with backoff.
• Can I map to my own taxonomy? Yes. Keep a mapping layer that associates Klazify category names (and available IAB mapping fields inside each category object) to your internal labels like “Crime & Justice.” Update the mapping without code changes.
• Should I classify full URLs or just domains? Prefer full URLs for precise page-level classification when available. If you only have domains, pass those; cache more aggressively and refresh on a schedule.
• How do I handle rate and throughput? Use a worker pool, retry with backoff on transient failures, and deduplicate by domain. Log rejected or delayed items and process them later to smooth spikes.

Ready to integrate? Create an account and get an API key in minutes: Register. Then wire up your first request with the categorize endpoint using the Documentation and explore the broader platform at Klazify.