{ "openapi": "3.0.1", "info": { "title": "PACER Court Records Intelligence MCP — 1B+ Federal Cases", "description": "The PACER Court Records Intelligence MCP is an Apify actor that exposes CourtListener's comprehensive federal court database via the Model Context Protocol (MCP). It gives AI assistants — Claude, GPT-4, and any MCP-compatible agent — direct, structured access to over one billi...", "version": "0.1", "x-build-id": "PUPBKHzOGvJtegzQ4" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/andrew_avina~pacer-intelligence-mcp/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-andrew_avina-pacer-intelligence-mcp", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/andrew_avina~pacer-intelligence-mcp/runs": { "post": { "operationId": "runs-sync-andrew_avina-pacer-intelligence-mcp", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/andrew_avina~pacer-intelligence-mcp/run-sync": { "post": { "operationId": "run-sync-andrew_avina-pacer-intelligence-mcp", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "query": { "title": "Search Query", "type": "string", "description": "Full-text keyword search across federal court opinions and dockets (e.g. 'patent infringement', 'antitrust Section 1', 'securities fraud', 'ERISA fiduciary')", "default": "patent infringement" }, "court": { "title": "Court Code", "type": "string", "description": "Filter by specific federal court code. Examples: 'scotus' (Supreme Court), 'ca2' (2nd Circuit), 'cafc' (Federal Circuit - patent cases), 'nysd' (S.D.N.Y.), 'cand' (N.D. Cal.). Leave blank to search all courts. Use mode=courts to list all supported codes.", "default": "" }, "mode": { "title": "Search Mode", "enum": [ "notable", "opinions", "dockets", "courts" ], "type": "string", "description": "What to search. 'notable' = curated landmark cases dataset (no API key needed). 'opinions'/'dockets' = live CourtListener search (requires free apiToken). 'courts' = list court codes.", "default": "notable" }, "category": { "title": "Case Category (Notable mode)", "type": "string", "description": "Filter notable cases by category: Patent, Antitrust, Securities, Administrative, Employment, Privacy, Bankruptcy, Commercial, Regulatory, Trade", "default": "" }, "apiToken": { "title": "CourtListener API Token (optional)", "type": "string", "description": "Free API token from courtlistener.com for live opinion/docket searches. Register at https://www.courtlistener.com/register/ to get your token.", "default": "" }, "dateFiledMin": { "title": "Date Filed From (YYYY-MM-DD)", "type": "string", "description": "Only return cases filed on or after this date", "default": "" }, "dateFiledMax": { "title": "Date Filed To (YYYY-MM-DD)", "type": "string", "description": "Only return cases filed on or before this date", "default": "" }, "natureOfSuit": { "title": "Nature of Suit (Dockets only)", "type": "string", "description": "Filter dockets by nature of suit (e.g. 'patent', 'antitrust', 'securities', 'employment', 'ERISA', 'bankruptcy'). Only applies when mode=dockets.", "default": "" }, "limit": { "title": "Result Limit", "minimum": 1, "maximum": 100, "type": "integer", "description": "Maximum number of results to return (max 100)", "default": 20 }, "serveMcp": { "title": "MCP Server Mode", "type": "boolean", "description": "When enabled, starts an MCP-compatible HTTP server on port 4321 instead of returning a batch dataset. Use this to connect Claude Desktop or any MCP client directly to federal court data.", "default": false } } }, "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 } } } } } } } } } }