Regulatory Intelligence API

The compliance radar AI agents trust. Extract structured requirements, deadlines, penalties, and compliance checklists from the Federal Register, regulations.gov, and state regulatory sources. Built for Colorado SB 25B-004 compliance and AI agent workflows.

LICENSE

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Why Regulatory Intelligence API?

The Problem AI Agents Face

AI agents providing business advice operate in a regulatory blind spot:

• Federal Register publishes 70,000+ pages annually of rules, notices, and guidance
• Regulations.gov hosts millions of documents across 300+ agencies
• State regulations add another layer of complexity (50 states, 50 systems)
• Training data is stale - new regulations appear daily
• Hallucination risk - without grounded data, AI gives dangerous compliance advice

The Solution: Grounded Regulatory Intelligence

Regulatory Intelligence API transforms raw regulatory data into structured, citation-ready intelligence that AI agents can trust:

✅ Grounded Facts - Every requirement has a citation
✅ Compliance Checklists - Actionable items, not legal jargon
✅ Deadline Tracking - Never miss an effective date or comment period
✅ Penalty Intelligence - Know the stakes
✅ RAG-Ready Chunks - Optimized for vector databases
✅ Bluebook Citations - Legal-standard sourcing

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Colorado SB 25B-004 Compliance Ready

Effective June 30, 2026, Colorado's AI Transparency Act requires AI systems to:

• Disclose when AI is being used in high-risk decisions
• Provide explanations of how AI reached conclusions
• Enable human review of AI-assisted decisions
• Maintain audit trails of AI decision-making

Regulatory Intelligence API helps you comply by:

• Tracking SB 25B-004 and related state AI regulations
• Providing citation chains for every extracted requirement
• Generating audit-ready provenance for all data
• Creating compliance checklists for implementation

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Task Modes

Choose the right mode for your workflow:

Mode	Description	Best For
federal_register	Track proposed and final rules from the Federal Register	Monitoring federal rulemaking
regulations_gov	Extract dockets, comments, and supporting materials	Deep regulatory research
agency_guidance	Collect guidance documents from specific agencies	Understanding agency interpretation
compliance_monitor	Diff-based change detection against baseline	Ongoing compliance surveillance
deadline_tracker	Extract all dates and compliance deadlines	Calendar and project planning
impact_analysis	Analyze who/what is affected by regulations	Risk assessment
state_regulations	Multi-state regulatory tracking	Multi-jurisdictional compliance
full_intelligence	Comprehensive extraction (all features)	Complete regulatory picture

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Output Schema

Every run produces a Regulatory Intelligence Pack with structured data:

{
  "runId": "abc123def456",
  "taskMode": "federal_register",
  "extractedAt": "2026-01-28T12:00:00.000Z",
  
  "regulation": {
    "id": "2026-01234",
    "title": "Artificial Intelligence Transparency Requirements",
    "agency": "Federal Trade Commission",
    "agencyAcronym": "FTC",
    "documentType": "proposed_rule",
    "status": "proposed",
    "federalRegisterNumber": "2026-01234",
    "cfrReferences": ["16 CFR 314"],
    "publicationDate": "2026-01-15",
    "effectiveDate": null,
    "commentDeadline": "2026-03-15",
    "sourceUrl": "https://www.federalregister.gov/documents/2026/01234"
  },
  
  "requirements": [
    {
      "id": "REQ-202601234-001",
      "requirement": "Covered entities must disclose to consumers when AI is used in consequential decisions.",
      "legalText": "Each covered entity shall provide clear and conspicuous disclosure...",
      "citation": "16 CFR 314.5(a)",
      "category": "disclosure",
      "mandatoryLevel": "required",
      "deadline": "180 days after effective date",
      "affectedParties": ["corporations", "small businesses"],
      "exceptions": ["Entities with fewer than 50 employees"],
      "confidence": 0.92
    }
  ],
  
  "deadlines": [
    {
      "date": "2026-03-15",
      "dateType": "comment_deadline",
      "description": "Public comment period closes",
      "context": "Comments must be received on or before March 15, 2026",
      "isEstimated": false
    },
    {
      "date": "2026-07-01",
      "dateType": "effective_date",
      "description": "Rule becomes effective",
      "context": "This rule is effective July 1, 2026",
      "isEstimated": false
    }
  ],
  
  "penalties": [
    {
      "penaltyType": "civil_monetary",
      "amount": "$50,000",
      "amountNumeric": 50000,
      "perViolation": true,
      "maxPenalty": "$1,000,000 per proceeding",
      "triggeringViolation": "Failure to provide required disclosure",
      "enforcementAgency": "FTC",
      "citation": "16 CFR 314.10"
    }
  ],
  
  "affectedParties": {
    "industries": ["Technology (51)", "Finance (52)", "Healthcare (62)"],
    "entityTypes": ["corporations", "small_business"],
    "employeeThresholds": {
      "minimum": 50,
      "description": "50 or more employees"
    },
    "geographicScope": "national",
    "exemptions": ["Nonprofits", "Government entities"],
    "estimatedAffectedEntities": 125000
  },
  
  "complianceChecklist": [
    {
      "checklistId": "CHK-001",
      "action": "Conduct gap analysis comparing current AI disclosure practices to new requirements",
      "category": "audit",
      "priority": "high",
      "deadline": "2026-07-01",
      "responsibleRole": "Compliance Officer",
      "relatedRequirements": ["REQ-202601234-001"],
      "verificationMethod": "Gap analysis report"
    },
    {
      "checklistId": "CHK-002",
      "action": "Implement AI disclosure process for consumer-facing decisions",
      "category": "process",
      "priority": "critical",
      "deadline": "2026-07-01",
      "responsibleRole": "Legal/Compliance Officer",
      "relatedRequirements": ["REQ-202601234-001"],
      "verificationMethod": "Review disclosure documents and processes"
    }
  ],
  
  "citations": {
    "bluebook": "FTC, Artificial Intelligence Transparency Requirements, 91 Fed. Reg. [page] (proposed Jan. 15, 2026) (to be codified at 16 C.F.R. pt. 314).",
    "apa": "Federal Trade Commission. (2026). Artificial Intelligence Transparency Requirements. Federal Register. Retrieved January 28, 2026, from https://www.federalregister.gov/documents/2026/01234",
    "mla": "\"Artificial Intelligence Transparency Requirements.\" Federal Trade Commission, January 15, 2026, https://www.federalregister.gov/documents/2026/01234. Accessed January 28, 2026.",
    "chicago": "Federal Trade Commission. \"Artificial Intelligence Transparency Requirements.\" Federal Register. January 15, 2026. Accessed January 28, 2026. https://www.federalregister.gov/documents/2026/01234.",
    "inline": "[AI Transparency Requirements](https://www.federalregister.gov/documents/2026/01234) (accessed 2026-01-28)",
    "bibtex": "@misc{fr_2026_01234, title={Artificial Intelligence Transparency Requirements}, author={{Federal Trade Commission}}, year={2026}, journal={Federal Register}, volume={91}, url={https://www.federalregister.gov/documents/2026/01234}, type={Proposed Rule}}"
  },
  
  "chunks": [
    {
      "id": "2026-01234_summary",
      "text": "# Artificial Intelligence Transparency Requirements\n\n**Agency:** Federal Trade Commission...",
      "tokenCount": 687,
      "chunkType": "summary",
      "metadata": {
        "regulationId": "2026-01234",
        "title": "Artificial Intelligence Transparency Requirements",
        "agency": "Federal Trade Commission",
        "section": "Summary",
        "position": 0,
        "totalChunks": 12
      }
    }
  ],
  
  "quality": {
    "overallScore": 88,
    "completeness": 92,
    "extractionConfidence": 87,
    "citationCoverage": 95,
    "requirementsCoverage": 78
  },
  
  "agentSummary": {
    "oneLiner": "FTC proposed rule requiring AI transparency disclosures for consumer-facing decisions, effective July 2026.",
    "keyRequirements": [
      "Disclose AI use in consequential decisions",
      "Provide explanation of AI decision factors",
      "Maintain audit trail of AI decisions"
    ],
    "criticalDeadlines": [
      { "date": "2026-03-15", "description": "Comment deadline" },
      { "date": "2026-07-01", "description": "Effective date" }
    ],
    "riskLevel": "high",
    "actionRequired": true,
    "recommendedActions": [
      "Submit comments before March 15, 2026",
      "Conduct compliance gap analysis",
      "Brief legal/compliance team"
    ],
    "topicTags": ["ai", "consumer", "privacy"]
  },
  
  "langchainMetadata": {
    "source": "https://www.federalregister.gov/documents/2026/01234",
    "regulation_id": "2026-01234",
    "agency": "Federal Trade Commission",
    "document_type": "Proposed Rule",
    "effective_date": null,
    "status": "proposed",
    "topics": ["ai", "consumer", "privacy"],
    "requirements_count": 5,
    "has_penalties": true,
    "quality_score": 88,
    "content_hash": "sha256:a1b2c3d4..."
  },
  
  "provenance": {
    "fetchedAt": "2026-01-28T12:00:00.000Z",
    "sourceUrl": "https://www.federalregister.gov/documents/2026/01234",
    "httpStatus": 200,
    "contentHash": "sha256:a1b2c3d4...",
    "extractionVersion": "1.0.0"
  }
}

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Use Cases

1. GovCon Compliance Intelligence

Government contractors need to track regulatory changes affecting their contracts:

const input = {
  taskMode: "federal_register",
  searchQuery: "government contractor disclosure",
  agencies: ["GSA", "DOD", "OMB"],
  topics: ["government_contracts"],
  dateRange: "30d",
  generateChecklist: true
};

2. AI Compliance Monitoring

Track AI-related regulations across federal agencies:

const input = {
  taskMode: "full_intelligence",
  searchQuery: "artificial intelligence machine learning algorithmic",
  agencies: ["FTC", "EEOC", "HHS", "DOL"],
  topics: ["artificial_intelligence", "data_privacy"],
  dateRange: "90d",
  extractRequirements: true,
  extractPenalties: true
};

3. Multi-State Regulatory Tracking

Monitor state regulations affecting your operations:

const input = {
  taskMode: "state_regulations",
  searchQuery: "AI transparency disclosure",
  states: ["CO", "CA", "NY", "TX"],
  topics: ["artificial_intelligence", "consumer_protection"]
};

4. Compliance Change Detection

Monitor for changes to regulations you're already tracking:

const input = {
  taskMode: "compliance_monitor",
  searchQuery: "16 CFR 314",
  baselineRunId: "previous-run-id",
  extractRequirements: true
};

5. Legal Research RAG Pipeline

Feed regulatory data into your vector database:

const input = {
  taskMode: "federal_register",
  searchQuery: "healthcare data privacy HIPAA",
  outputFormat: "rag_only",
  ragChunkSize: 750,
  includeLegalCitations: true
};

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Integration Examples

LangChain Integration

from langchain.document_loaders import ApifyDatasetLoader
from langchain.vectorstores import Pinecone
from langchain.embeddings import OpenAIEmbeddings

# Load regulatory data from Apify
loader = ApifyDatasetLoader(
    dataset_id="your-dataset-id",
    dataset_mapping_function=lambda item: Document(
        page_content=item["chunks"][0]["text"],
        metadata=item["langchainMetadata"]
    )
)

docs = loader.load()

# Index in Pinecone
vectorstore = Pinecone.from_documents(
    docs, 
    OpenAIEmbeddings(),
    index_name="regulatory-intelligence"
)

n8n Workflow Integration

Use with our companion n8n node for automated compliance workflows:

1. Install: npm install n8n-nodes-regulatory-intelligence
2. Configure Apify credentials
3. Add to your compliance monitoring workflow

Direct API Usage

curl -X POST "https://api.apify.com/v2/acts/ai-solutionist~regulatory-intelligence-api/runs" \
  -H "Authorization: Bearer YOUR_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{
    "taskMode": "federal_register",
    "searchQuery": "artificial intelligence",
    "maxResults": 10
  }'

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Supported Sources

Federal Sources

• Federal Register - All document types (rules, proposed rules, notices)
• Regulations.gov - Dockets, comments, supporting materials
• Agency Websites - Guidance documents, FAQs, enforcement actions

State Sources (Expanding)

• Colorado - SB 25B-004 and related AI regulations
• California - CCPA, CPRA, AB 2013
• New York - NYC Local Law 144, proposed AI regulations
• Texas - Data privacy and AI-related rules
• Florida - Consumer protection regulations

International (Coming Soon)

• EU AI Act - Risk-based AI requirements
• UK AI Framework - Pro-innovation approach
• Canada AIDA - AI and Data Act

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Pricing

Feature	Free Tier	Pro	Enterprise
Federal Register	10/month	Unlimited	Unlimited
Regulations.gov	5/month	Unlimited	Unlimited
State Regulations	-	3 states	All states
Change Detection	-	✓	✓
API Access	-	✓	✓
Priority Support	-	-	✓

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Quality & Accuracy

Extraction Quality Metrics

Every result includes quality scores:

• Completeness - Percentage of expected fields populated
• Extraction Confidence - Average confidence of requirement extraction
• Citation Coverage - Percentage of requirements with source citations
• Requirements Coverage - Estimated completeness vs document content

Validation

• Cross-reference with official Federal Register API
• Citation verification against CFR
• Continuous monitoring for extraction accuracy

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Support & Resources

• Documentation: Full API Documentation
• GitHub: Source Code & Issues
• Discord: Community Support
• Email: jason@jasonpellerin.com

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Built By

AI Solutionist - Building the infrastructure for trustworthy AI

"The compliance radar AI agents trust"

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License

ISC License - See LICENSE for details.

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Keywords

regulatory compliance federal register regulations.gov AI compliance SB 25B-004 Colorado AI law FTC regulations SEC compliance HIPAA GovCon government contractor RAG LangChain vector database compliance automation regulatory monitoring legal citations Bluebook CFR rulemaking