Regulatory Change Tracker

Comprehensive regulatory change monitoring tool that queries 13 federal data sources in parallel -- Federal Register, Congressional bills, CBP customs rulings, USITC tariffs, SEC filings, OSHA inspections, EPA ECHO enforcement, DOL wage-hour actions, FDA recalls, FDA device approvals, website change monitoring, lobbying disclosures, and FEC contributions -- to produce a composite Compliance Impact Score (0-100) with four specialized scoring models for legislative probability, enforcement trends, tariff impact, and cross-agency domino effects.

Features

• Monitors 13 federal regulatory data sources simultaneously for complete compliance landscape visibility
• Produces a composite Compliance Impact Score (0-100) graded from CRITICAL to LOW COMPLIANCE RISK
• Runs four specialized scoring models: Legislative Probability Engine, Enforcement Trend Detector, Tariff Impact Analyzer, and Regulatory Domino Effect predictor
• Tracks bill progression through legislative stages (introduced, committee, passed, enacted) with probability scoring
• Maps multi-agency enforcement patterns across OSHA, EPA, DOL, FDA, SEC, and CBP to predict regulatory cascades
• Aggregates lobbying firm activity and FEC campaign contributions to reveal who is shaping regulatory outcomes

Use Cases

• Compliance Officers: Monitor regulatory changes affecting your industry and prioritize compliance program updates based on legislative probability and enforcement intensity scores.
• General Counsel: Track pending legislation, proposed rules, and enforcement trends that could create new legal obligations or litigation exposure.
• Trade Compliance Teams: Assess tariff impact from CBP customs rulings and USITC tariff entries affecting your supply chain, with quantified disruption scores.
• Government Affairs Teams: Map the lobbying landscape and FEC contribution patterns around regulatory issues your organization cares about.
• Risk Managers: Use the Regulatory Domino Effect model to predict when enforcement activity at one agency will cascade to others, enabling proactive risk mitigation.

How to Use

1. Click Try for free on this page
2. Enter your Query -- an industry or regulatory keyword (e.g., "cryptocurrency regulation", "PFAS chemicals", "AI safety")
3. Optionally specify a Jurisdiction (e.g., "California", "FDA") or Date Range (e.g., "2024", "last 6 months")
4. Click Start and wait for the run to finish
5. Download results from the Dataset tab in JSON, CSV, or Excel

Input Parameters

Parameter	Type	Required	Description
query	string	Yes	Industry or regulatory keyword to track (e.g., "cryptocurrency regulation", "PFAS chemicals", "AI safety")
jurisdiction	string	No	Jurisdiction filter (e.g., "California", "EU", "FDA"). Defaults to US Federal
dateRange	string	No	Date range filter (e.g., "2024", "last 6 months"). Defaults to current data

Output Example

{
  "query": "cryptocurrency regulation",
  "jurisdiction": "US Federal",
  "dateRange": "Current",
  "generatedAt": "2026-03-13T14:30:00.000Z",
  "complianceImpactScore": 62,
  "complianceGrade": "HIGH COMPLIANCE RISK",
  "recommendation": "Active regulatory environment. Monitor legislative pipeline and enforcement trends. Update compliance programs proactively.",
  "models": {
    "legislativeProbability": { "score": 68, "label": "LIKELY", "findings": ["2 bill(s) passed at least one chamber -- high probability of enactment", "5 bills in committee -- significant legislative attention"], "billStages": { "introduced": 8, "committee": 5, "passed": 2, "enacted": 0 } },
    "enforcementTrend": { "score": 45, "direction": "ACTIVE", "findings": ["8 SEC filing(s) -- financial regulatory activity", "6 enforcement-related Federal Register notice(s)"], "agencyActivity": { "SEC": 8 } },
    "tariffImpact": { "score": 12, "label": "LOW DISRUPTION", "findings": ["2 trade-related Federal Register notice(s)"] },
    "dominoEffect": { "score": 35, "direction": "EXPANDING", "findings": ["2 agencies with active enforcement -- moderate cascade potential", "Active agencies: SEC, CBP"] }
  },
  "dataSources": {
    "federalRegister": { "total": 18, "breakdown": { "proposed": 6, "final": 4, "notice": 5, "other": 3 } },
    "congressBills": { "total": 15 },
    "lobbying": { "totalFilings": 22, "topFirms": [{ "firm": "Blockchain Association", "filings": 5 }] },
    "enforcement": { "oshaInspections": 0, "epaEcho": 0, "dolWhd": 0, "fdaRecalls": 0, "fdaDevices": 0, "secEdgar": 8 }
  }
}

Scoring Model

The Compliance Impact Score (0-100) synthesizes four specialized models with weighted contributions:

Legislative Probability Engine (30% weight, 0-100) -- Predicts how likely pending legislation will pass. Classifies bills by stage: enacted bills score 35 points (regulatory change is live), passed bills score 25 points, committee bills score 8-15 points, and introduced bills score 3-8 points. Federal Register proposed and final rules add 5-12 points. Lobbying intensity amplifies the score. Grades: NEAR CERTAIN (75+), LIKELY (50-74), POSSIBLE (25-49), UNLIKELY (0-24).

Enforcement Trend Detector (30% weight, 0-100) -- Measures enforcement intensity and direction across six federal agencies. Scores OSHA inspections, EPA ECHO enforcement records, DOL WHD wage-hour actions, FDA recalls and device enforcement, SEC filing activity, and enforcement-related Federal Register notices. Each agency can contribute up to 20 points. Detects multi-front regulatory pressure when 3+ agencies are active simultaneously.

Regulatory Domino Effect (25% weight, -100 to +100) -- Predicts cross-agency regulatory cascades. When OSHA, EPA, DOL, FDA, SEC, and CBP each exceed activity thresholds, the score rises. Four or more active agencies triggers a HIGH domino cascade risk finding. Federal Register volume and Congressional bill count amplify the cascade prediction. Normalized to 0-100 for composite calculation.

Tariff Impact Analyzer (15% weight, 0-100) -- Quantifies trade policy disruption potential. Scores CBP customs rulings, USITC HTS tariff entries, trade-related Federal Register notices, trade-related Congressional bills, and trade lobbying filings. Grades: HIGH DISRUPTION (70+), MODERATE DISRUPTION (40-69), LOW DISRUPTION (15-39), MINIMAL IMPACT (0-14).

How Much Does It Cost?

Each run costs approximately $0.40-$1.00 in platform credits depending on regulatory activity volume in your sector. The actor calls 13 sub-actors in parallel. On the Apify free tier, you can run approximately 4-6 regulatory scans per month.

Programmatic Access

Python

from apify_client import ApifyClient
client = ApifyClient("YOUR_API_TOKEN")
run = client.actor("ryanclinton/regulatory-change-tracker").call(run_input={
    "query": "cryptocurrency regulation",
    "jurisdiction": "SEC"
})
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(f"Compliance Impact: {item['complianceImpactScore']}/100 — {item['complianceGrade']}")
    print(f"Legislative Probability: {item['models']['legislativeProbability']['label']}")

JavaScript

import { ApifyClient } from "apify-client";
const client = new ApifyClient({ token: "YOUR_API_TOKEN" });
const run = await client.actor("ryanclinton/regulatory-change-tracker").call({
    query: "cryptocurrency regulation",
    jurisdiction: "SEC"
});
const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items[0].complianceImpactScore, items[0].complianceGrade);

FAQ

How does the Regulatory Domino Effect model work? It tracks enforcement activity across six federal agencies (OSHA, EPA, DOL-WHD, FDA, SEC, CBP). When three or more agencies are simultaneously active above threshold levels, the model predicts a regulatory cascade -- meaning enforcement pressure in one area is likely to trigger increased scrutiny from other agencies. This pattern is common during regulatory regime shifts.

Can I track specific regulations or rulemakings? Yes. Use specific regulatory keywords as your query (e.g., "PFAS chemicals", "Section 230", "Basel III"). The Federal Register results will surface proposed rules, final rules, and notices matching your query.

What is the difference between Enforcement Trend and Legislative Probability? Legislative Probability measures pending law changes (bills in Congress, proposed rules). Enforcement Trend measures current agency activity (inspections, enforcement actions, recalls). A high Legislative Probability with low Enforcement Trend means change is coming but not yet enforced. High Enforcement Trend with low Legislative Probability means agencies are enforcing existing rules aggressively.

How does the tariff scoring work for non-trade industries? If your industry has no tariff exposure, the Tariff Impact score will be near zero, which is the correct result. The 15% weight means tariff-irrelevant industries are not penalized in the composite score.

Integrations

Use this actor with:

• Zapier for automated workflows
• Make for complex automations
• Google Sheets for spreadsheet export
• The Apify API for programmatic access