Stop hallucinating compliance. Instant compliance checks, obligations, penalties and regulatory context from 41 jurisdictions — structured JSON your LLM can reason over.
import requests # Fetch regulations for RAG context regs = requests.get( "https://api.regintelapi.com/regulations", params={"country": "EU", "industry": "Privacy"}, headers={"x-api-key": "ri_live_..."} ).json() # Build context for your LLM context = " ".join([ r["regulation"] for r in regs ]) # Feed into your prompt prompt = f""" Given these EU privacy regulations: {context} Answer: Does our app need a DPO? """ response = llm.complete(prompt)
From RAG pipelines to full compliance copilots — structured regulatory data is the missing ingredient.
Inject regulatory context directly into your retrieval-augmented generation pipelines. Get clean, structured text that embeddings love.
Build chatbots that answer "Do we need to comply with X?" with grounded, up-to-date regulatory knowledge instead of hallucinations.
Power document analysis tools, contract reviewers and risk assessment engines with accurate regulatory ground truth.
Use our delta alerts to automatically notify your users when regulations change. Build the "Google Alerts for compliance" your customers need.
Compare how different jurisdictions treat the same regulation type. Build tools that help companies understand their global compliance posture.
One endpoint to answer "is this activity allowed in this country?" Returns status, risk level, obligations and penalties — ready for your agent to act on.
Give your autonomous agents a compliance tool call. Agents can query regulations on demand as part of complex multi-step workflows.
No scraping, no PDFs, no preprocessing. Just clean JSON you can put straight into a prompt.
Sign up at regintelapi.com. 100 free credits, no credit card required.
Filter by jurisdiction, category or keyword. Get clean JSON back instantly.
Format the regulation text as system context, few-shot examples or RAG chunks.
Use GET /updates to refresh your context when regulations change.
Copy-paste ready code for LangChain, LlamaIndex and raw OpenAI calls.
from langchain.schema import Document import requests # Fetch EU regulations regs = requests.get( "https://api.regintelapi.com/regulations", params={"country": "EU"}, headers={"x-api-key": API_KEY} ).json() # Convert to LangChain documents docs = [ Document( page_content=r["regulation"], metadata={ "country": r["country"], "industry": r["industry"], "updated_at": r["updated_at"], "change_type": r["change_type"] } ) for r in regs ] vectorstore.add_documents(docs)
from llama_index.core import Document, VectorStoreIndex import requests # Fetch regulations as LlamaIndex documents def load_regulations(country, industry): regs = requests.get( "https://api.regintelapi.com/regulations", params={"country": country, "industry": industry}, headers={"x-api-key": API_KEY} ).json() return [ Document( text=r["regulation"], metadata={ "country": r["country"], "industry": r["industry"], "updated_at": r["updated_at"], "change_type": r["change_type"], "effective_date": r["effective_date"] } ) for r in regs ] docs = load_regulations("EU", "Privacy") index = VectorStoreIndex.from_documents(docs) engine = index.as_query_engine() result = engine.query("What are the GDPR breach notification requirements?")
# Define as a tool for your agent tools = [{ "type": "function", "function": { "name": "get_regulations", "description": "Fetch regulatory requirements for a jurisdiction", "parameters": { "type": "object", "properties": { "country": {"type": "string"}, "industry": {"type": "string"} } } } }] # Handle the tool call def get_regulations(country, industry): return requests.get( "https://api.regintelapi.com/regulations", params={"country": country, "industry": industry}, headers={"x-api-key": API_KEY} ).json()
RegIntel is a plain REST API — it integrates with any framework, language or platform.
100 free credits. No credit card. No setup. Just an API key and clean regulatory JSON.