# Federal Preemption Risk Tracker - AI Regulation Compliance (`ai_solutionist/federal-preemption-tracker`) Actor Track federal preemption risks for state AI regulations. Monitor Executive Orders, DOJ actions, federal courts for Colorado AI Act (CAIA), California SB 1047 compliance. RAG-ready output for AI agents. Risk scoring, conflict analysis, compliance calendar. - **URL**: https://apify.com/ai\_solutionist/federal-preemption-tracker.md - **Developed by:** [Jason Pellerin](https://apify.com/ai_solutionist) (community) - **Categories:** AI, Automation, Developer tools - **Stats:** 3 total users, 1 monthly users, 100.0% runs succeeded, 1 bookmarks - **User rating**: No ratings yet ## Pricing from $5.00 / 1,000 preemption events This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event ## What's an Apify Actor? Actors are a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases. In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours, and optionally produces a well-defined JSON output, datasets with results, or files in key-value store. In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server. Actors are written with capital "A". ## How to integrate an Actor? If asked about integration, you help developers integrate Actors into their projects. You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready. The best way to integrate Actors is as follows. In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.md): ```bash pip install apify-client ``` In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md): ````bash # MacOS / Linux curl -fsSL https://apify.com/install-cli.sh | bash # Windows irm https://apify.com/install-cli.ps1 | iex ```bash In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp.md). If your project is in a different language, use the [REST API](https://docs.apify.com/api/v2.md). For usage examples, see the [API](#api) section below. For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt). # README ## Federal Preemption Risk Tracker - AI Regulation Compliance Intelligence **Real-time monitoring of federal preemption risks for state AI regulations** | Track Executive Orders, DOJ actions, federal court litigation, and regulatory changes affecting Colorado AI Act, California SB 1047, and algorithmic discrimination laws. [![Apify Actor](https://img.shields.io/badge/Apify-Actor-blue)](https://apify.com/ai_solutionist/federal-preemption-tracker) [![License: MIT](https://img.shields.io/badge/License-MIT-yellow.svg)](https://opensource.org/licenses/MIT) --- ### What This Actor Does The **Federal Preemption Risk Tracker** monitors all federal government sources for actions that may preempt or conflict with state AI regulations. It provides: - **Risk-scored preemption events** from Executive Orders, DOJ enforcement, federal courts, and agency rules - **State-specific impact analysis** for Colorado, California, Connecticut, Illinois, and other state AI laws - **RAG-optimized output** for AI agents, chatbots, and compliance automation systems - **Compliance calendar** with aggregated deadlines and strategic recommendations #### Why Federal Preemption Monitoring Matters The regulatory landscape for AI in the United States is defined by **state-federal friction**: | State Law | Effective Date | Key Risk | Federal Conflict | |-----------|---------------|----------|------------------| | **Colorado AI Act (SB 24-205)** | June 30, 2026 | $20K/violation | EO 14281 funding threats | | **California SB 1047** | January 1, 2025 | Frontier AI safety | Commerce Dept jurisdiction | | **Connecticut SB 2** | July 1, 2026 | AI governance | FTC authority overlap | | **Illinois HB 3773** | Enacted | Employment AI | EEOC preemption | **Executive Order 14281** threatens to withhold federal broadband grants from states with "onerous" AI rules. Federal courts are adjudicating whether state **algorithmic discrimination** requirements conflict with federal **disparate impact** standards. Organizations deploying AI need **real-time compliance intelligence** to navigate this friction. --- ### Key Features #### 🔍 Multi-Source Federal Intelligence | Data Source | Content Type | Update Frequency | |-------------|--------------|------------------| | **Federal Register API** | Executive Orders, Final Rules, NPRMs, Agency Notices | Real-time | | **CourtListener API** | Federal court opinions, dockets, PACER documents | Real-time | | **DOJ Press Releases** | Enforcement actions, AI policy guidance | Daily | | **White House Briefings** | Presidential actions, policy statements | Daily | #### ⚖️ Preemption Risk Scoring Every event is scored 0-100 based on: - **Event Type Weight**: Executive Orders (90%), Court Opinions (95%), Final Rules (80%) - **Preemption Basis**: Express (100%), Supremacy Clause (95%), Conflict (80%), Commerce Clause (75%) - **Federal Authority**: DOJ (85%), Federal Courts (95%), FTC (70%), EEOC (65%) - **Timeline Urgency**: Immediate (100%), Near-term (80%), Medium-term (50%) #### 🤖 AI Agent-Ready Output Output is optimized for **Retrieval-Augmented Generation (RAG)** and AI agent consumption: ```json { "id": "eo-14281", "type": "executive_order", "title": "Removing Barriers to American Leadership in AI", "riskScore": 85, "riskLevel": "critical", "affectedStates": ["CO", "CA"], "affectedProvisions": ["Colorado SB 24-205", "Disparate Impact Testing"], "preemptionBasis": ["federal_funding_threat", "conflict_preemption"], "timeline": "near_term", "reasoning": "Executive Order with direct presidential authority creates potential conflict with state requirements. Action needed within 6 months.", "recommendedActions": [ "Immediate legal review of compliance strategy", "Inventory federal grants and funding at risk" ], "ragChunks": [ { "id": "eo-14281-summary", "content": "Executive Order 14281 directs federal agencies to identify and remove barriers to American AI leadership...", "chunkType": "summary", "metadata": { "source": "federal_register", "tokens": 150, "relevanceScore": 85 } } ] } ```` #### 📊 State Conflict Analysis Automated mapping of federal actions against specific state law provisions: - **Conflict Type Detection**: Direct, implicit, coverage overlap, enforcement, timing, definitional - **Strategic Options**: Cost-benefit analysis for compliance strategies - **Precedent Mapping**: Links to key preemption cases (Geier v. Honda, Wyeth v. Levine, Arizona v. US) *** ### Use Cases #### For Legal & Compliance Teams - Monitor federal preemption risks for **Colorado AI Act compliance** before June 2026 deadline - Track **DOJ enforcement signals** for algorithmic discrimination - Identify **federal court cases** challenging state AI regulations - Generate **audit-ready compliance reports** for executive review #### For AI Agents & Automation - **RAG Pipeline Integration**: Pre-chunked content with token counts for vector databases - **Compliance Chatbots**: Structured data for answering "What federal actions affect Colorado AI Act?" - **Workflow Automation**: Webhook alerts for n8n, Zapier, Make when critical risks detected - **LangChain Integration**: Agent-optimized JSON for tool use and function calling #### For Policy & Research - Track **Executive Order implementation** across federal agencies - Monitor **federal-state regulatory friction** trends - Research **preemption precedents** for AI governance policy *** ### Input Configuration #### Basic Configuration ```json { "searchMode": "comprehensive", "targetStates": ["CO", "CA"], "outputFormat": "agent_optimized", "riskScoreThreshold": 25, "maxResults": 100 } ``` #### Search Modes | Mode | Description | Best For | |------|-------------|----------| | `comprehensive` | All federal sources | Full compliance coverage | | `courtCases` | Federal litigation only | Preemption case tracking | | `executiveOrders` | Presidential actions | Policy direction monitoring | | `dojActions` | DOJ enforcement & guidance | Enforcement risk assessment | | `federalRegister` | Rules & notices | Regulatory change tracking | | `stateConflicts` | Conflict mapping | State law impact analysis | | `riskAssessment` | Full risk report | Compliance audits | #### Output Formats | Format | Use Case | Includes RAG Chunks | |--------|----------|---------------------| | `agent_optimized` | AI agents, chatbots, RAG | ✅ Yes | | `detailed` | Human review, analysis | ❌ No | | `summary` | Executive dashboards | ❌ No | | `compliance_report` | Audit documentation | ❌ No | *** ### Output Schema #### Core Event Fields | Field | Type | Description | |-------|------|-------------| | `id` | string | Unique event identifier | | `type` | enum | Event classification (executive\_order, court\_case, etc.) | | `title` | string | Official title or case name | | `summary` | string | Plain-language summary | | `riskScore` | integer | Preemption risk score (0-100) | | `riskLevel` | enum | low, medium, high, critical | | `affectedStates` | array | State codes (CO, CA, etc.) | | `affectedProvisions` | array | Specific provisions impacted | | `preemptionBasis` | array | Legal basis for preemption | | `timeline` | enum | Risk timeline assessment | | `recommendedActions` | array | Compliance recommendations | | `sourceUrl` | string | Direct URL to source | | `ragChunks` | array | RAG-optimized content chunks | #### RAG Chunk Structure ```json { "id": "event-id-summary", "content": "Semantic content for retrieval...", "chunkType": "summary|holding|rationale|requirement|deadline|citation", "metadata": { "source": "federal_register|courtlistener|doj_press|whitehouse", "date": "2026-01-29", "relevanceScore": 85, "tokens": 150 } } ``` *** ### Integration Examples #### LangChain Python ```python from apify_client import ApifyClient client = ApifyClient("your-api-token") run = client.actor("ai_solutionist/federal-preemption-tracker").call( run_input={ "searchMode": "comprehensive", "targetStates": ["CO", "CA"], "outputFormat": "agent_optimized" } ) ## Ingest RAG chunks into vector database for item in client.dataset(run["defaultDatasetId"]).iterate_items(): for chunk in item.get("ragChunks", []): vector_db.add( id=chunk["id"], content=chunk["content"], metadata=chunk["metadata"] ) ``` #### n8n Workflow ```json { "nodes": [ { "name": "Apify Trigger", "type": "n8n-nodes-base.apifyTrigger", "parameters": { "actorId": "ai_solutionist/federal-preemption-tracker" } }, { "name": "Filter Critical", "type": "n8n-nodes-base.filter", "parameters": { "conditions": { "number": [{ "value1": "={{$json.riskScore}}", "operation": "largerEqual", "value2": 80 }] } } } ] } ``` #### Webhook Alert Configuration Set `webhookUrl` in input to receive POST requests when critical risks are detected: ```json { "actorId": "ai_solutionist/federal-preemption-tracker", "runId": "abc123", "totalEvents": 42, "criticalRisks": 3, "highRisks": 8, "topCritical": [ { "title": "...", "score": 92, "url": "..." } ] } ``` *** ### Data Sources & Rate Limits | Source | API | Rate Limit | Auth Required | |--------|-----|------------|---------------| | Federal Register | REST API | Unlimited | No | | CourtListener | REST API | 5,000/hour | Optional (free) | | DOJ Website | Web scraping | Respectful | No | | White House | Web scraping | Respectful | No | *** ### State AI Regulations Tracked #### Colorado AI Act (SB 24-205 / CAIA) - **Effective**: June 30, 2026 - **Penalty**: $20,000 per violation - **Key Provisions**: Reasonable care duty, annual impact assessments, algorithmic discrimination prohibition, consumer notification rights, 3-year record retention - **Federal Conflict Points**: EO 14281 funding threat, FTC authority, disparate impact standards #### California SB 1047 - **Effective**: January 1, 2025 - **Key Provisions**: Frontier AI safety evaluations, kill switch requirements, whistleblower protections - **Federal Conflict Points**: Commerce Department AI safety, national security jurisdiction #### Connecticut SB 2 - **Effective**: July 1, 2026 - **Key Provisions**: High-risk AI governance, impact assessments, consumer disclosure - **Federal Conflict Points**: Similar to Colorado - federal uniformity arguments #### Illinois HB 3773 - **Effective**: Enacted 2020 - **Key Provisions**: AI video interview consent, employment AI disclosure - **Federal Conflict Points**: EEOC AI hiring guidance, Title VII enforcement *** ### Pricing This Actor uses **pay-per-event** pricing: | Event | Price | |-------|-------| | Actor Start | $0.01 per GB memory | | Result | $0.005 per preemption event | Typical comprehensive scan: **$0.50 - $2.00** depending on date range and result count. *** ### Legal Disclaimer This Actor provides regulatory intelligence for **informational purposes only**. It does not constitute legal advice. Risk scores and recommendations are algorithmically generated and should be verified by qualified legal counsel before making compliance decisions. *** ### Support & Contact **Author**: Jason Pellerin - AI Solutionist\ **Website**: [jasonpellerin.com](https://jasonpellerin.com)\ **Email**: Part of the **HyperCognate AI Compliance Suite** - Infrastructure of Trust for AI Governance. *** ### Keywords federal preemption, AI regulation, Colorado AI Act, CAIA, SB 24-205, California SB 1047, algorithmic discrimination, disparate impact, Executive Order 14281, DOJ AI enforcement, federal court preemption, state AI law, compliance automation, RAG AI, agentic AI compliance, regulatory intelligence, AI governance, automated decision systems, FTC AI, EEOC AI hiring, legal compliance API # Actor input Schema ## `searchMode` (type: `string`): Select the scope of federal preemption monitoring. 'Comprehensive' scans all sources (recommended for full compliance coverage). Individual modes focus on specific federal authorities for targeted monitoring. ## `targetStates` (type: `array`): Select state AI regulations to monitor for federal preemption risks. Colorado (CAIA SB 24-205) and California (SB 1047) are highest-impact. 'ALL' monitors all tracked state AI laws. ## `keywords` (type: `string`): Add custom keywords to expand search scope (comma-separated). Default keywords include: AI regulation, algorithmic discrimination, preemption, disparate impact, automated decision systems. ## `dateRangeStart` (type: `string`): Start date for federal action monitoring (YYYY-MM-DD format). Defaults to 6 months ago for comprehensive coverage of recent regulatory developments. ## `dateRangeEnd` (type: `string`): End date for monitoring window (YYYY-MM-DD format). Defaults to today. Set future dates for scheduled monitoring. ## `courtTypes` (type: `array`): Select federal court levels to monitor for preemption litigation. Supreme Court and Circuit Courts have highest precedential impact on state AI law validity. ## `includeProposedRules` (type: `boolean`): Monitor Notices of Proposed Rulemaking from federal agencies. Proposed rules signal future regulatory direction and provide early warning of preemption risks. ## `includeFinalRules` (type: `boolean`): Monitor final rules published in the Federal Register. Final rules have immediate legal effect and may directly preempt state AI regulations. ## `includeExecutiveOrders` (type: `boolean`): Track Executive Orders affecting AI policy and state regulation. Critical for monitoring EO 14281 (Removing Barriers to AI) and similar presidential actions. ## `riskScoreThreshold` (type: `integer`): Filter results by preemption risk score (0-100). Lower thresholds capture more events; higher thresholds focus on critical risks. Recommended: 25 for comprehensive monitoring, 50 for high-priority alerts. ## `maxResults` (type: `integer`): Limit results per data source. Higher values provide comprehensive coverage; lower values reduce processing time and API costs. ## `outputFormat` (type: `string`): Select output format optimized for your use case. 'Agent Optimized' includes RAG chunks and structured metadata for AI agent consumption. 'Compliance Report' generates audit-ready documentation. ## `courtListenerApiToken` (type: `string`): Your CourtListener API token for enhanced federal court data access. Free tokens available at courtlistener.com. Increases rate limits and enables full-text search. ## `webhookUrl` (type: `string`): Receive real-time notifications when critical preemption risks are detected. Supports n8n, Zapier, Make, and custom webhook endpoints. ## `proxyConfiguration` (type: `object`): Configure proxy settings for web scraping of DOJ and White House sources. Apify proxy recommended for reliability. ## Actor input object example ```json { "searchMode": "comprehensive", "targetStates": [ "CO", "CA" ], "keywords": "", "dateRangeStart": "", "dateRangeEnd": "", "courtTypes": [ "scotus", "circuit" ], "includeProposedRules": true, "includeFinalRules": true, "includeExecutiveOrders": true, "riskScoreThreshold": 25, "maxResults": 100, "outputFormat": "agent_optimized" } ``` # Actor output Schema ## `preemptionEvents` (type: `string`): All federal preemption events with risk scores and compliance intelligence ## `overview` (type: `string`): Summarized view of preemption risks by type, score, and affected states ## `demoCache` (type: `string`): Simplified data for embeddable widgets and demos # API You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup. ## JavaScript example ```javascript import { ApifyClient } from 'apify-client'; // Initialize the ApifyClient with your Apify API token // Replace the '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = { "targetStates": [ "CO", "CA" ] }; // Run the Actor and wait for it to finish const run = await client.actor("ai_solutionist/federal-preemption-tracker").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`); const { items } = await client.dataset(run.defaultDatasetId).listItems(); items.forEach((item) => { console.dir(item); }); // 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs ``` ## Python example ```python from apify_client import ApifyClient # Initialize the ApifyClient with your Apify API token # Replace '' with your token. client = ApifyClient("") # Prepare the Actor input run_input = { "targetStates": [ "CO", "CA", ] } # Run the Actor and wait for it to finish run = client.actor("ai_solutionist/federal-preemption-tracker").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "targetStates": [ "CO", "CA" ] }' | apify call ai_solutionist/federal-preemption-tracker --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=ai_solutionist/federal-preemption-tracker", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Federal Preemption Risk Tracker - AI Regulation Compliance", "description": "Track federal preemption risks for state AI regulations. Monitor Executive Orders, DOJ actions, federal courts for Colorado AI Act (CAIA), California SB 1047 compliance. RAG-ready output for AI agents. Risk scoring, conflict analysis, compliance calendar.", "version": "1.0", "x-build-id": "XZ4aZgzwglwy3FMLC" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/ai_solutionist~federal-preemption-tracker/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-ai_solutionist-federal-preemption-tracker", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/ai_solutionist~federal-preemption-tracker/runs": { "post": { "operationId": "runs-sync-ai_solutionist-federal-preemption-tracker", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK", "content": { "application/json": { "schema": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/ai_solutionist~federal-preemption-tracker/run-sync": { "post": { "operationId": "run-sync-ai_solutionist-federal-preemption-tracker", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } } }, "components": { "schemas": { "inputSchema": { "type": "object", "properties": { "searchMode": { "title": "Intelligence Gathering Mode", "enum": [ "comprehensive", "courtCases", "executiveOrders", "dojActions", "federalRegister", "stateConflicts", "riskAssessment" ], "type": "string", "description": "Select the scope of federal preemption monitoring. 'Comprehensive' scans all sources (recommended for full compliance coverage). Individual modes focus on specific federal authorities for targeted monitoring.", "default": "comprehensive" }, "targetStates": { "title": "Target State Regulations", "type": "array", "description": "Select state AI regulations to monitor for federal preemption risks. Colorado (CAIA SB 24-205) and California (SB 1047) are highest-impact. 'ALL' monitors all tracked state AI laws.", "items": { "type": "string", "enum": [ "CO", "CA", "CT", "IL", "TX", "NY", "VA", "WA", "ALL" ] }, "default": [ "CO", "CA" ] }, "keywords": { "title": "Additional Search Keywords", "type": "string", "description": "Add custom keywords to expand search scope (comma-separated). Default keywords include: AI regulation, algorithmic discrimination, preemption, disparate impact, automated decision systems.", "default": "" }, "dateRangeStart": { "title": "Monitor From Date", "type": "string", "description": "Start date for federal action monitoring (YYYY-MM-DD format). Defaults to 6 months ago for comprehensive coverage of recent regulatory developments.", "default": "" }, "dateRangeEnd": { "title": "Monitor Until Date", "type": "string", "description": "End date for monitoring window (YYYY-MM-DD format). Defaults to today. Set future dates for scheduled monitoring.", "default": "" }, "courtTypes": { "title": "Federal Court Levels", "type": "array", "description": "Select federal court levels to monitor for preemption litigation. Supreme Court and Circuit Courts have highest precedential impact on state AI law validity.", "items": { "type": "string", "enum": [ "scotus", "circuit", "district", "all" ] }, "default": [ "scotus", "circuit" ] }, "includeProposedRules": { "title": "Include Proposed Rules (NPRMs)", "type": "boolean", "description": "Monitor Notices of Proposed Rulemaking from federal agencies. Proposed rules signal future regulatory direction and provide early warning of preemption risks.", "default": true }, "includeFinalRules": { "title": "Include Final Rules", "type": "boolean", "description": "Monitor final rules published in the Federal Register. Final rules have immediate legal effect and may directly preempt state AI regulations.", "default": true }, "includeExecutiveOrders": { "title": "Include Executive Orders", "type": "boolean", "description": "Track Executive Orders affecting AI policy and state regulation. Critical for monitoring EO 14281 (Removing Barriers to AI) and similar presidential actions.", "default": true }, "riskScoreThreshold": { "title": "Minimum Risk Score", "minimum": 0, "maximum": 100, "type": "integer", "description": "Filter results by preemption risk score (0-100). Lower thresholds capture more events; higher thresholds focus on critical risks. Recommended: 25 for comprehensive monitoring, 50 for high-priority alerts.", "default": 25 }, "maxResults": { "title": "Maximum Results Per Source", "minimum": 10, "maximum": 500, "type": "integer", "description": "Limit results per data source. Higher values provide comprehensive coverage; lower values reduce processing time and API costs.", "default": 100 }, "outputFormat": { "title": "Output Format", "enum": [ "detailed", "summary", "agent_optimized", "compliance_report" ], "type": "string", "description": "Select output format optimized for your use case. 'Agent Optimized' includes RAG chunks and structured metadata for AI agent consumption. 'Compliance Report' generates audit-ready documentation.", "default": "agent_optimized" }, "courtListenerApiToken": { "title": "CourtListener API Token (Optional)", "type": "string", "description": "Your CourtListener API token for enhanced federal court data access. Free tokens available at courtlistener.com. Increases rate limits and enables full-text search." }, "webhookUrl": { "title": "Alert Webhook URL", "type": "string", "description": "Receive real-time notifications when critical preemption risks are detected. Supports n8n, Zapier, Make, and custom webhook endpoints." }, "proxyConfiguration": { "title": "Proxy Configuration", "type": "object", "description": "Configure proxy settings for web scraping of DOJ and White House sources. Apify proxy recommended for reliability." } } }, "runsResponseSchema": { "type": "object", "properties": { "data": { "type": "object", "properties": { "id": { "type": "string" }, "actId": { "type": "string" }, "userId": { "type": "string" }, "startedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "finishedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "status": { "type": "string", "example": "READY" }, "meta": { "type": "object", "properties": { "origin": { "type": "string", "example": "API" }, "userAgent": { "type": "string" } } }, "stats": { "type": "object", "properties": { "inputBodyLen": { "type": "integer", "example": 2000 }, "rebootCount": { "type": "integer", "example": 0 }, "restartCount": { "type": "integer", "example": 0 }, "resurrectCount": { "type": "integer", "example": 0 }, "computeUnits": { "type": "integer", "example": 0 } } }, "options": { "type": "object", "properties": { "build": { "type": "string", "example": "latest" }, "timeoutSecs": { "type": "integer", "example": 300 }, "memoryMbytes": { "type": "integer", "example": 1024 }, "diskMbytes": { "type": "integer", "example": 2048 } } }, "buildId": { "type": "string" }, "defaultKeyValueStoreId": { "type": "string" }, "defaultDatasetId": { "type": "string" }, "defaultRequestQueueId": { "type": "string" }, "buildNumber": { "type": "string", "example": "1.0.0" }, "containerUrl": { "type": "string" }, "usage": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "integer", "example": 1 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } }, "usageTotalUsd": { "type": "number", "example": 0.00005 }, "usageUsd": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "number", "example": 0.00005 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } } } } } } } } } ```