An r/AiAutomations build monitors EU AI Act and GDPR daily. EUR-Lex is the authoritative source; Scavio fills the analyst-commentary and community-signal gaps. This tutorial walks the multi-source monitor.
Prerequisites
- Python 3.10+
- Scavio API key
- EUR-Lex (free)
Walkthrough
Step 1: Pull EUR-Lex updates (free)
Authoritative EU regulatory feed.
Python
# EUR-Lex SOAP/REST: query for new acts and amendments.Step 2: Scavio SERP for analyst takes
Find legal blogs, consultancy briefs.
Python
import requests, os
API_KEY = os.environ['SCAVIO_API_KEY']
def analyst(q):
return requests.post('https://api.scavio.dev/api/v1/search',
headers={'x-api-key': API_KEY},
json={'query': f'{q} legal analysis 2026'}).json()Step 3: Reddit signal layer
r/legaltech, r/europrivacy.
Python
def reddit(q):
return requests.post('https://api.scavio.dev/api/v1/reddit/search',
headers={'x-api-key': API_KEY}, json={'query': q}).json()Step 4: LLM extraction of risk + action
Claude / Groq tags each item with risk level and recommended action.
Text
# Prompt the LLM with the three sources; output JSON {risk_level, action_required, deadline}.Step 5: Email + Sheets log
Daily report; full log persisted.
Text
# Email at 8 AM; append to Sheets for audit.Python Example
Python
# Daily run cost: ~20 Scavio calls ≈ $0.086.JavaScript Example
JavaScript
// Same in TS.Expected Output
JSON
Daily compliance report combining EUR-Lex authoritative changes with analyst commentary and Reddit-flagged drafts.