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.
Australian climate-disclosure obligations with paragraph-level citations, per-Group applicability, transitional reliefs, and protected-statement windows. Calculator-ready annotation fields for downstream sustainability tooling. Information only; not assurance advice.
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.
Every RegIntel record includes a source_url pointing to the regulator's own page. Your LLM can quote that URL in its reply, and the user can verify the answer in one click. Here's the pattern end-to-end.
"My SaaS hosts EU customer data. Do I need to comply with GDPR, and what does that actually require?"
GET https://api.regintelapi.com/regulations/123 x-api-key: YOUR_KEY
{
"id": 123,
"country": "EU",
"industry": "Privacy",
"regulation": "The General Data Protection Regulation (GDPR) 2016/679 governs the processing of personal data within the EU and the EEA, and applies to any organisation that processes such data regardless of where the organisation is established.",
"scope": "Any organisation that processes personal data of individuals in the EU, regardless of where the organisation is established.",
"obligations": "Lawful basis for processing, data minimisation, transparent privacy notices, data subject rights, breach notification within 72 hours, DPO appointment in qualifying cases.",
"penalties": "Up to €20 million or 4% of global annual turnover, whichever is higher.",
"key_articles": "Arts. 5, 6, 13–14, 33, 37–39, 83",
"source_url": "https://eur-lex.europa.eu/eli/reg/2016/679/oj"
}
Yes. If your SaaS processes personal data of individuals in the EU, GDPR applies to you regardless of where your company is registered. The core obligations are:
Penalties go up to €20M or 4% of global annual turnover. Source: eur-lex.europa.eu/eli/reg/2016/679/oj (official EU legislation portal).
The user clicks through to the regulator's own page to verify. The LLM's answer is grounded, the citation is canonical, and the audit trail goes all the way back to the source. See how RegIntel sources data for the full methodology.
100 free credits. No credit card. No setup. Just an API key and clean regulatory JSON.
Common questions from AI and LLM developers.
Yes. Each regulation comes as structured JSON with obligations, scope, penalties, tags and a source URL — ready to chunk, embed, and index in any vector store. Use GET /regulations to bulk-load coverage and GET /updates?since=<date> to keep your index incrementally fresh.
Updater scrapers run continuously across regulator websites (AUSTRAC, FCA, MAS, SEC, FINRA, and dozens more). New regulations and amendments typically appear in the API within 24–48 hours of public release. Poll GET /updates to detect deltas instead of re-ingesting the entire catalog.
Scraping public regulator sites means writing 41+ bespoke parsers, handling rate limits and bot blocks, normalising inconsistent HTML across jurisdictions, and constantly re-checking sources for changes. RegIntel does all of that once on your behalf and exposes the result as clean, queryable JSON.
Yes. Every regulation record includes a key_articles field and a source_url pointing to the authoritative regulator page, so your LLM can produce verifiable citations rather than hallucinated references.