Drone UAS Regulatory Intelligence MCP Server

Drone UAS regulatory intelligence, delivered to AI agents via the Model Context Protocol. This MCP server gives your AI assistant real-time access to FAA rulemakings, congressional drone legislation, NOAA weather hazards, airspace restriction databases, FEMA disaster alerts, and corporate operator verification — all in one connection.

Built for UAS operators, drone insurance underwriters, fleet managers, and regulatory affairs teams, this server eliminates the hours spent cross-referencing federal databases before each flight or business decision. Connect once and ask your AI assistant anything about drone airspace compliance, weather flight safety, or regulatory change impact.

What data can you access?

Why use Drone UAS Regulatory Intelligence MCP?

Pre-flight regulatory research currently takes an experienced UAS pilot or compliance officer 30-90 minutes per operating area: cross-referencing the Federal Register for new rulemakings, checking Data.gov for active TFRs, reviewing NOAA for wind advisories, verifying FEMA disaster zones, and checking congressional activity for pending restrictions. For fleet operators running multiple locations, this compounds into hours of daily overhead.

This MCP server reduces that to a single AI agent query. It orchestrates 7 government data sources in parallel, applies 5 purpose-built scoring models, and returns structured risk intelligence with actionable recommendations in seconds.

• Scheduling — Run daily pre-flight briefings, weekly regulatory digests, or custom intervals on the Apify platform
• API access — Trigger from Python, JavaScript, n8n, or any HTTP client via the Apify API
• Standby mode — Always-on MCP endpoint with no cold-start latency for production AI agent deployments
• Monitoring — Get Slack or email alerts when runs fail or produce unexpected risk signals
• Integrations — Connect to Zapier, Make, Claude Desktop, Cursor, or any MCP-compatible AI client

Features

• 8 purpose-built MCP tools covering every stage of UAS operations: pre-flight planning, in-season monitoring, regulatory tracking, insurance classification, and comprehensive reporting
• 5 independent scoring models — airspace compliance, weather flight safety, regulatory change impact, insurance risk, and operational feasibility — each derived from multiple federal sources
• Composite Drone Risk Score (0-100) weighted across all 5 dimensions: airspace 25%, weather 25%, operational feasibility 20%, regulatory change 15%, insurance risk 15%
• 5-tier verdict system — CLEARED / CONDITIONAL / RESTRICTED / HIGH_RISK / GROUNDED — maps directly to go/no-go flight decisions
• Parallel data orchestration — up to 7 data sources queried simultaneously per tool call using Promise.all for maximum speed
• Per-call spending limits — every tool call checks eventChargeLimitReached before executing, so your AI agent cannot overrun your budget
• 13-keyword UAS detection engine — matches "uas", "drone", "unmanned", "remote pilot", "part 107", "part 89", "remote id", "bvlos", "waiver", "airspace", "faa", "notam", "tfr" across all federal sources
• 12-keyword restricted airspace scanner — detects "restricted", "prohibited", "tfr", "notam", "no-fly", "controlled airspace", "class b", "class c", "class d", "stadium", "airport", "military" in restriction datasets
• 13-keyword flight hazard classifier — identifies "wind", "storm", "thunderstorm", "lightning", "tornado", "hurricane", "icing", "fog", "visibility", "turbulence", "gust", "hail", "snow" in NOAA alerts
• Wind threshold enforcement — flags wind speeds above 15mph (caution) and above 25mph (exceeds safe UAS operating limits) from live forecast data
• Severity-weighted weather scoring — NOAA "extreme" alerts score 12 points, "severe" alerts score 5 points, standard hazards score 4 points, preventing equal treatment of fog and hurricanes
• Operator entity verification — queries OpenCorporates across 140+ jurisdictions to flag dissolved, struck-off, or unregistered drone operators as insurance risk signals
• Multi-location comparison — compare_operating_areas accepts 2-5 locations, scores each in parallel, and returns them sorted by composite risk score with a top recommendation

Use cases for drone UAS regulatory intelligence

Commercial UAS operator pre-flight planning

Commercial drone pilots under FAA Part 107 must verify airspace authorization, check weather conditions, and confirm no TFRs are active before every flight. Manually checking the FAA DroneZone, NOAA weather briefing, and federal register takes 30-60 minutes. With this MCP server, a Claude or GPT-4 agent can run airspace_compliance_check and weather_flight_safety for each planned location and surface a pre-flight brief in under a minute — including specific signals like active wind advisories, congressional bills that could affect local airspace, and FEMA disaster zones.

Drone delivery network route optimization

Companies operating beyond-visual-line-of-sight (BVLOS) delivery routes across multiple markets need to understand the regulatory burden in each corridor before committing to infrastructure investment. The compare_operating_areas tool scores up to 5 candidate locations against 5 risk dimensions simultaneously and returns them ranked by composite risk — giving route planners a data-driven foundation for corridor selection.

UAS insurance underwriting and premium setting

Insurance underwriters pricing drone operator policies need to assess weather exposure by operating geography, regulatory liability exposure from active FAA enforcement activity, and the legitimacy of the operating entity. The insurance_risk_classification tool combines NOAA weather severity, FEMA disaster zone exposure, Federal Register enforcement actions, and OpenCorporates entity status into a five-class risk output: STANDARD / PREFERRED / ELEVATED / HIGH_RISK / UNINSURABLE.

Regulatory affairs and policy monitoring

Drone regulatory counsel and policy teams need to track the evolving FAA rulemaking calendar, monitor congressional UAS legislation, and brief leadership on compliance timeline changes. The regulatory_change_tracker tool queries the Federal Register and Congress for active rulemakings, final rules, proposed rules, and transformative bills (authorization acts, BVLOS frameworks, remote ID implementation), returning an impact level from STABLE to TRANSFORMATIVE.

Emergency response drone fleet management

Public safety agencies and disaster response organizations deploying UAS in active disaster zones need to know which airspace is restricted to emergency operations only. The restricted_zone_monitor tool combines Data.gov TFR datasets, Federal Register temporary flight restriction notices, and FEMA active disaster data to surface restriction counts, compliance level, and weather safety for a given area.

Fleet risk reporting for enterprise operators

Enterprise drone operators managing fleets across multiple sites need a consistent risk scoring framework for board reporting, insurance renewal, and operational planning. The drone_regulatory_report tool runs all 7 data sources in a single call and returns a full DroneIntelResult with composite score, 5-dimensional breakdown, all signals, and actionable recommendations — ready to feed into dashboards or compliance management systems.

How to use drone UAS regulatory intelligence in your AI agent

1. Connect the MCP server — Add the server URL to your AI client configuration (Claude Desktop, Cursor, Windsurf, or any MCP-compatible tool). No code required for basic use.
2. Ask in plain language — Prompt your AI assistant: "Check airspace compliance for drone operations in downtown Austin" or "Is it safe to fly near LAX this week?" The agent calls the right tool automatically.
3. Review the risk output — The server returns a structured JSON response with a risk score, verdict, signals list, and recommendations. Your AI assistant translates this into a plain-language brief.
4. Act on the recommendations — CLEARED and CONDITIONAL verdicts proceed with standard precautions. RESTRICTED and above trigger the specific recommendations returned in the recommendations array.

Claude Desktop configuration

{
  "mcpServers": {
    "drone-uas-regulatory-intelligence": {
      "url": "https://drone-uas-regulatory-intelligence-mcp.apify.actor/mcp",
      "headers": {
        "Authorization": "Bearer YOUR_APIFY_TOKEN"
      }
    }
  }
}

Cursor / Windsurf / Cline configuration

Add the same URL and Authorization header in your MCP client settings. This server uses streamable HTTP transport and works with any MCP 1.x-compatible client.

MCP tools

Tool input parameters

Input tips

• Be specific with location — "downtown Seattle" or "LAX vicinity" returns more targeted airspace data than "Washington state" or "California"
• Use topic for regulatory tracking — passing "BVLOS" or "remote ID" to regulatory_change_tracker focuses the Federal Register and Congress queries on that specific policy area
• Run the report first — drone_regulatory_report covers all 7 sources at the same price as individual tools and gives you the full picture before diving into specific dimensions
• Compare before committing — use compare_operating_areas for 2-3 candidate sites before investing in local infrastructure or permitting
• Set a spending limit — configure maxTotalChargeUsd in your Apify run settings to cap total spend across a session

Output example

Response from drone_regulatory_report for entity "Austin TX downtown drone corridor":

{
  "entity": "Austin TX downtown drone corridor",
  "compositeScore": 34,
  "verdict": "CONDITIONAL",
  "airspaceCompliance": {
    "score": 38,
    "restrictionCount": 2,
    "regulatoryChanges": 4,
    "complianceLevel": "RESTRICTED",
    "signals": [
      "2 restrictive UAS regulations — airspace access may be limited",
      "4 UAS regulatory changes — compliance landscape shifting"
    ]
  },
  "weatherFlightSafety": {
    "score": 12,
    "hazardCount": 1,
    "disasterImpact": 0,
    "safetyLevel": "CAUTION",
    "signals": []
  },
  "regulatoryChange": {
    "score": 28,
    "activeRulemakings": 3,
    "pendingBills": 2,
    "impactLevel": "LOW",
    "signals": [
      "1 transformative UAS bill — potential major framework changes"
    ]
  },
  "insuranceRisk": {
    "score": 18,
    "weatherExposure": 8,
    "regulatoryExposure": 10,
    "riskClass": "PREFERRED",
    "signals": []
  },
  "operationalFeasibility": {
    "score": 62,
    "weatherClearance": 30,
    "regulatoryReadiness": 18,
    "feasibilityLevel": "FEASIBLE",
    "signals": [
      "No active disasters in operating area"
    ]
  },
  "allSignals": [
    "2 restrictive UAS regulations — airspace access may be limited",
    "4 UAS regulatory changes — compliance landscape shifting",
    "1 transformative UAS bill — potential major framework changes",
    "No active disasters in operating area"
  ],
  "recommendations": [
    "Airspace restrictions detected — verify current authorization status before operations"
  ]
}

Output fields

How much does it cost to use drone UAS regulatory intelligence?

This MCP server uses pay-per-event pricing — every tool call costs $0.045. Platform compute costs are included. There is no subscription fee.

You can set a maximum spending limit per run to control costs. The server stops when your budget is reached, returning a clear eventChargeLimitReached error so your agent can handle it gracefully.

Compare this to dedicated UAS compliance platforms that charge $299-999/month in subscription fees — most teams using this server spend under $10/month with no commitment.

Drone UAS regulatory intelligence using the API

Python

import httpx

APIFY_TOKEN = "YOUR_APIFY_TOKEN"
MCP_URL = "https://drone-uas-regulatory-intelligence-mcp.apify.actor/mcp"

headers = {
    "Content-Type": "application/json",
    "Authorization": f"Bearer {APIFY_TOKEN}",
}

# Run a comprehensive drone regulatory report
payload = {
    "jsonrpc": "2.0",
    "method": "tools/call",
    "params": {
        "name": "drone_regulatory_report",
        "arguments": {"entity": "downtown Austin TX drone corridor"}
    },
    "id": 1
}

response = httpx.post(MCP_URL, json=payload, headers=headers)
result = response.json()
report = result["result"]["content"][0]["text"]

import json
data = json.loads(report)
print(f"Entity: {data['entity']}")
print(f"Composite Score: {data['compositeScore']}/100")
print(f"Verdict: {data['verdict']}")
print(f"Airspace: {data['airspaceCompliance']['complianceLevel']}")
print(f"Weather: {data['weatherFlightSafety']['safetyLevel']}")
for rec in data.get("recommendations", []):
    print(f"Action required: {rec}")

JavaScript

const APIFY_TOKEN = "YOUR_APIFY_TOKEN";
const MCP_URL = "https://drone-uas-regulatory-intelligence-mcp.apify.actor/mcp";

const headers = {
  "Content-Type": "application/json",
  "Authorization": `Bearer ${APIFY_TOKEN}`,
};

// Compare two operating areas before committing to a route
const response = await fetch(MCP_URL, {
  method: "POST",
  headers,
  body: JSON.stringify({
    jsonrpc: "2.0",
    method: "tools/call",
    params: {
      name: "compare_operating_areas",
      arguments: { locations: ["downtown Austin TX", "Round Rock TX", "Cedar Park TX"] }
    },
    id: 1,
  }),
});

const result = await response.json();
const data = JSON.parse(result.result.content[0].text);

console.log(`Recommended location: ${data.recommendation}`);
for (const loc of data.comparison) {
  console.log(`${loc.location}: score ${loc.compositeScore} (${loc.verdict}) — airspace: ${loc.airspace}, weather: ${loc.weather}`);
}

cURL

# Run airspace compliance check for a specific location
curl -X POST "https://drone-uas-regulatory-intelligence-mcp.apify.actor/mcp" \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer YOUR_APIFY_TOKEN" \
  -d '{
    "jsonrpc": "2.0",
    "method": "tools/call",
    "params": {
      "name": "airspace_compliance_check",
      "arguments": {"location": "downtown Seattle WA"}
    },
    "id": 1
  }'

# Run weather flight safety check
curl -X POST "https://drone-uas-regulatory-intelligence-mcp.apify.actor/mcp" \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer YOUR_APIFY_TOKEN" \
  -d '{
    "jsonrpc": "2.0",
    "method": "tools/call",
    "params": {
      "name": "weather_flight_safety",
      "arguments": {"location": "downtown Seattle WA"}
    },
    "id": 2
  }'

How Drone UAS Regulatory Intelligence works

Phase 1: Parallel data orchestration

When a tool call arrives, the server calls runActorsParallel(), which maps each required data source to a specific Apify actor ID and launches all calls simultaneously using Promise.all. The drone_regulatory_report tool fires all 7 sources concurrently: federal-register-search, congress-bill-search, noaa-weather-alerts, weather-forecast-search, datagov-dataset-search, fema-disaster-search, and opencorporates-search. Each sub-actor runs with 512MB memory and a 120-second timeout. Failed sub-calls return empty arrays without breaking the overall response.

Phase 2: Keyword-filtered scoring

Each scoring function receives the raw data arrays and applies keyword-filtered analysis. The scoreAirspaceCompliance function scans Federal Register entries against 13 UAS-specific keywords and weights restrictive rule types (restrict, prohibit, enforce, penalty) at 10 points each vs. general regulatory changes at 3 points each — capped at 35 points for the Federal Register component. Congressional bills follow the same keyword logic with an 8-point premium for explicitly restrictive language (ban, moratorium). The Data.gov component scores against 12 airspace-restriction keywords capped at 20 points.

Phase 3: Composite weighting and verdict

The generateDroneIntel function assembles all 5 dimension scores into a weighted composite: airspace compliance 25%, weather flight safety 25%, operational feasibility 20% (inverted — higher feasibility reduces composite risk), regulatory change 15%, insurance risk 15%. Scores are clamped to 0-100. The composite maps to 5 verdict thresholds: 0-19 CLEARED, 20-39 CONDITIONAL, 40-59 RESTRICTED, 60-79 HIGH_RISK, 80-100 GROUNDED. Recommendations are appended only when a dimension reaches its highest-risk tier (PROHIBITED, GROUNDED, TRANSFORMATIVE, UNINSURABLE, INFEASIBLE).

Phase 4: MCP response assembly

Results are serialized to JSON and wrapped in the MCP content format ({ type: "text", text: JSON.stringify(...) }). The server uses StreamableHTTPServerTransport from the @modelcontextprotocol/sdk 1.x with sessionIdGenerator: undefined for stateless per-request operation, which keeps memory usage flat under concurrent load. Each request creates a fresh McpServer instance — no shared state between calls.

Tips for best results

1. Use drone_regulatory_report for full intelligence. It runs all 7 sources at the same $0.045 price as a single-source tool. For anything beyond a quick weather check, the full report is the better value.
2. Be geographically specific. "LAX vicinity" or "downtown Chicago Loop" returns more targeted airspace and weather data than "California" or "Midwest." The Federal Register and Data.gov queries use your location string directly.
3. Combine airspace and weather tools for time-sensitive decisions. If your drone_regulatory_report shows RESTRICTED airspace but SAFE weather, re-run airspace_compliance_check with a narrower location string to isolate the restriction source.
4. Use compare_operating_areas before infrastructure decisions. Scoring 3-5 candidate corridors takes the same time as scoring one and surfaces the lowest-risk option quantitatively.
5. Monitor regulatory change weekly. Set a scheduled Apify run to call regulatory_change_tracker for your key topics ("remote ID", "BVLOS", "Part 107") once per week and push results to a Slack webhook or HubSpot record.
6. Treat GROUNDED verdicts as absolute. When weatherFlightSafety.safetyLevel or the composite verdict returns GROUNDED, the scoring reflects extreme/severe NOAA alerts or hurricane/tornado FEMA declarations. Do not fly.
7. Pass operator name to insurance_risk_classification. Including the legal entity name triggers an OpenCorporates lookup that verifies corporate standing across 140+ jurisdictions — a key underwriting signal.

Combine with other Apify actors

Limitations

• No live LAANC authorization — This server does not integrate with the FAA Low Altitude Authorization and Notification Capability (LAANC) system. Actual airspace authorization for controlled airspace requires an FAA-approved UAS service supplier such as AirMap or Aloft.
• No real-time NOTAM feed — NOTAM data comes from Data.gov datasets, not the FAA NOTAM Distribution System. Time-sensitive NOTAMs (e.g., stadium events, VIP movement TFRs) may not be reflected. Always check official pre-flight NOTAMs before flying.
• US-focused regulation sources — The Federal Register, Congress, and FEMA sources cover US domestic regulations. International operators require EASA (Europe), CAAC (China), or CAA (UK) sources not currently included.
• No Part 107 waiver status — The server tracks regulatory changes mentioning BVLOS and waivers but does not access the FAA DroneZone waiver application status system.
• Weather data is advisory, not operational — Wind speeds are extracted from NOAA alerts and weather forecasts using text parsing. Use certified aviation weather sources (1800wxbrief, ForeFlight) for final pre-flight decisions.
• OpenCorporates coverage varies by jurisdiction — Corporate status verification is reliable in the US, UK, and Western Europe. Coverage in some emerging markets may be incomplete.
• Sub-actor timeout is 120 seconds — If any data source is slow or unavailable, it returns an empty array without error. A single slow source will not stall the response, but its data will be absent from the scoring.
• Scoring reflects regulatory text, not physical airspace — The compliance score is derived from regulatory documents and datasets. It supplements but does not replace dedicated geospatial airspace awareness tools (Kittyhawk, AirMap, B4UFLY).

Integrations

• Claude Desktop — Add the MCP URL to your claude_desktop_config.json and ask Claude to check airspace compliance or run pre-flight briefings directly in conversation
• Cursor / Windsurf — Configure as an MCP server in your IDE to run drone regulatory checks during code review for UAS software projects
• Zapier — Trigger weather_flight_safety checks on a schedule and push UNSAFE or GROUNDED results to a Slack channel or email alert
• Make — Build automated pre-flight briefing workflows: trigger on calendar events, call drone_regulatory_report, format results, and send to pilot mobile notifications
• Apify API — Call the standby endpoint directly from your fleet management system or dispatch software for on-demand risk checks
• Webhooks — Push risk level changes to your operations dashboard or compliance management system when regulatory or weather conditions shift
• LangChain / LlamaIndex — Integrate as a tool node in an agentic LangChain pipeline for automated UAS compliance research workflows

How the Drone Risk Score is calculated

The composite Drone Risk Score is a weighted average of 5 independent scoring models:

The feasibility dimension is inverted before weighting: (100 - feasibilityScore) * 0.20. A highly feasible operating area (score 80) contributes only 4 points of composite risk, while an infeasible area (score 10) contributes 18 points.

Composite score thresholds:

Troubleshooting

• All scores returning 0 despite active operations in the area — The scoring models rely on keyword matches in federal document titles and descriptions. If your location is very rural or the area has minimal regulatory activity, scores will naturally be low (CLEARED/CONDITIONAL). This is accurate — it means the federal databases contain no active UAS-specific restrictions for that area.
• compare_operating_areas returning similar scores for all locations — This typically means the regulatory and weather conditions are genuinely similar across your candidate locations (e.g., all in the same FEMA region and weather system). Try locations in different states or regulatory jurisdictions for meaningful differentiation.
• insurance_risk_classification showing ELEVATED for a well-established operator — The OpenCorporates lookup for operator entity status uses the operator string to search. If the company trades under a DBA name rather than its legal entity name, it may not match active records. Pass the full legal registered name.
• Tool call returning eventChargeLimitReached error — You have reached the spending limit configured for this run. Increase maxTotalChargeUsd in your Apify run settings, or start a new run.
• Slow response times on drone_regulatory_report — This tool queries 7 data sources in parallel with a 120-second per-source timeout. In rare cases of multiple slow sources, the total response can approach 2-3 minutes. Individual dimension tools (airspace_compliance_check, weather_flight_safety) are faster as they query only 3 sources each.

Responsible use

• This server only accesses publicly available US government databases (Federal Register, Congress, NOAA, Data.gov, FEMA, OpenCorporates).
• Risk scores are advisory tools to support — not replace — qualified UAS operator judgment and FAA-required pre-flight planning.
• Always consult official FAA sources (DroneZone, B4UFLY, NOTAM distribution) for operational flight decisions.
• Do not use risk scores as the sole basis for insurance underwriting without additional due diligence and licensed actuary review.
• For guidance on data use legality, see Apify's guide.

FAQ

How accurate is the drone UAS regulatory intelligence scoring? The scoring models are based on keyword analysis of federal document titles and descriptions. They are calibrated to surface genuine regulatory activity and weather hazards but should be treated as risk indicators, not definitive compliance determinations. The scores are most reliable as relative comparisons across locations or over time.

Does drone UAS regulatory intelligence work for international operations? No. The current data sources (Federal Register, US Congress, NOAA, Data.gov, FEMA) are all US-specific. International UAS operators need EASA Part UAS regulations (Europe), CAAC rules (China), or CAA rules (UK) — not currently available in this server.

How many tool calls can I make per day with drone UAS regulatory intelligence? There is no hard call limit. Your practical limit is determined by your Apify account spending cap. At $0.045 per call, the Apify free tier ($5/month) supports approximately 111 tool calls per month. Paid plans with higher credit balances support thousands of calls.

How is drone UAS regulatory intelligence different from FAA's B4UFLY app? B4UFLY gives real-time geospatial airspace authorization status at a specific GPS coordinate. This server provides regulatory and policy intelligence: active rulemaking trends, congressional legislative risk, weather hazard scoring, and insurance risk classification. They are complementary tools — B4UFLY for where you can physically fly, this server for the regulatory and risk landscape you're operating in.

Can I use drone UAS regulatory intelligence to track BVLOS waiver approvals? The regulatory_change_tracker tool monitors the Federal Register and Congress for BVLOS-related rulemakings, proposed rules, final rules, and congressional bills. It does not access the FAA DroneZone waiver database, which contains individual waiver application status.

How current is the weather data returned by drone UAS regulatory intelligence? NOAA weather alerts are near real-time, typically updated every 15-60 minutes. Weather forecast data provides multi-day outlooks. FEMA disaster declarations reflect officially declared events which may lag active conditions by 12-24 hours. For time-critical flight decisions, supplement with direct NOAA Aviation Weather Center or 1800wxbrief checks.

Is it legal to use drone UAS regulatory intelligence data for insurance underwriting? All data sources are publicly available US government databases. There are no legal restrictions on using this data to inform underwriting decisions. However, insurance regulatory compliance requirements vary by jurisdiction, and all underwriting decisions should involve licensed actuaries and comply with applicable state insurance department guidelines.

Can drone UAS regulatory intelligence monitor a specific drone operator's compliance history? The insurance_risk_classification tool verifies operator corporate entity status via OpenCorporates (active, dissolved, struck-off) and checks regulatory enforcement mentions in the Federal Register. It does not access FAA drone pilot certificate records, prior violation history, or registration databases, which are not publicly available via the supported data sources.

How does drone UAS regulatory intelligence handle a location near multiple airspace classes? The scoring is keyword-based on federal documents mentioning the location string. If your location string matches documents referencing multiple airspace classes (Class B, C, D), each keyword match contributes to the restriction count and compliance score, resulting in a higher composite risk — which accurately reflects the more complex regulatory environment near major airports.

Can I schedule drone UAS regulatory intelligence to run daily pre-flight briefings automatically? Yes. Configure a scheduled Apify run calling the drone_regulatory_report tool for your regular operating locations. Set a Zapier or Make integration to push the results to your Slack, email, or fleet management system each morning. At $0.045 per location per day, a 10-location fleet costs $0.45/day or roughly $13.50/month.

What happens if a data source is unavailable when drone UAS regulatory intelligence runs? The runActorsParallel function wraps each sub-actor call in a try/catch. If any source fails or times out, it returns an empty array for that source — the other sources continue normally and the scoring proceeds with reduced input. The composite score will be lower than usual for the affected dimensions, and the overall report will still return rather than erroring out.

How is this different from a simple keyword search of the Federal Register? The Federal Register alone returns hundreds of documents. This server applies 5 weighted scoring models that distinguish between general regulatory mentions and restrictive actions (ban, prohibit, enforce), final rules vs. proposed rules, severe weather vs. minor advisories, and active disasters vs. historical records — then synthesizes them into a single 0-100 score with a five-tier verdict and actionable recommendations.

Help us improve

If you encounter issues, you can help us debug faster by enabling run sharing in your Apify account:

1. Go to Account Settings > Privacy
2. Enable Share runs with public Actor creators

This lets us see your run details when something goes wrong, so we can fix issues faster. Your data is only visible to the actor developer, not publicly.

Support

Found a bug or have a feature request? Open an issue in the Issues tab on this actor's page. For custom integrations, enterprise deployments, or additional data source coverage (EASA, CAAC, LAANC integration), reach out through the Apify platform.