# PatentsView Inventor Network — Co-Inventor Graph API (`nexgendata/patentsview-inventor-network-graph`) Actor Map PatentsView inventor and co-inventor networks. Clean JSON for IP counsel, brand teams and AI agents. - **URL**: https://apify.com/nexgendata/patentsview-inventor-network-graph.md - **Developed by:** [NexGenData](https://apify.com/nexgendata) (community) - **Categories:** Business - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $150.00 / 1,000 inventor graphs 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 web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows. 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/docs.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python/docs.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/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 ## PatentsView Inventor Network Map PatentsView inventor and co-inventor networks. Built for IP counsel, brand teams, researchers and AI agents. ### ⏰ Run this as a inventor watch (recommended) Every IP registry actor is a monitoring subscription, not a one-shot lookup. Schedule a weekly sweep and catch new filings as they land: ```json { "query": "inventor name", "limit": 100 } ```` Weekly cron (`0 8 * * 1`) turns this into an always-on inventor watch. ### 📊 What you get Clean JSON, one record per record (full output has 6 fields): - `inventor_name` — Inventor name - `patent_count` — Patent count - `co_inventors` — Co inventors - `organizations` — Organizations - `node_id` — Node id **Pricing:** $0.15 per record (Pay-Per-Event) — about **7 records per $1**. ### 🤖 Use with AI agents Point Claude, the OpenAI Agents SDK, an n8n flow or any MCP-aware client at it and run PatentsView inventor and co-inventor networks on demand. **Sample agent prompt:** ``` Map the co-inventor network for a prolific inventor and their organizations. ``` **Agentic payments (x402):** Supports agentic payment via x402 — agents can call this actor with USDC, no API key required. ### 🔗 Related IP actors **Prior-art & patent web:** [USPTO Patent Search](https://apify.com/nexgendata/uspto-patent-search), [USPTO Patent Grants](https://apify.com/nexgendata/uspto-patent-grants), [USPTO Grants Tracker](https://apify.com/nexgendata/uspto-patent-grants-tracker), [WIPO PatentScope](https://apify.com/nexgendata/wipo-patentscope-search), [FDA Orange Book](https://apify.com/nexgendata/fda-orange-book-drug-patents) **IP agent front door:** [Patents & Trademarks IP MCP](https://apify.com/nexgendata/patents-trademarks-ip-mcp-server) *** *Data from public intellectual-property registries.* # Actor input Schema ## `query_type` (type: `string`): Search by assignee (company), inventor, or keyword/topic. ## `query_value` (type: `string`): The company, inventor, or topic to explore (e.g. Tesla, 'solid state battery'). ## `max_inventors` (type: `integer`): Maximum top inventors to return. ## `max_patents` (type: `integer`): How many patents to scan and aggregate over (more = better coverage, higher cost). ## `include_raw` (type: `boolean`): Attach extra raw fields. ## Actor input object example ```json { "query_type": "assignee", "query_value": "Tesla", "max_inventors": 15, "max_patents": 150, "include_raw": false } ``` # 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 = { "query_type": "assignee", "query_value": "Tesla", "max_inventors": 15, "max_patents": 150 }; // Run the Actor and wait for it to finish const run = await client.actor("nexgendata/patentsview-inventor-network-graph").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 = { "query_type": "assignee", "query_value": "Tesla", "max_inventors": 15, "max_patents": 150, } # Run the Actor and wait for it to finish run = client.actor("nexgendata/patentsview-inventor-network-graph").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 '{ "query_type": "assignee", "query_value": "Tesla", "max_inventors": 15, "max_patents": 150 }' | apify call nexgendata/patentsview-inventor-network-graph --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=nexgendata/patentsview-inventor-network-graph", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "PatentsView Inventor Network — Co-Inventor Graph API", "description": "Map PatentsView inventor and co-inventor networks. Clean JSON for IP counsel, brand teams and AI agents.", "version": "0.0", "x-build-id": "Pe6Z9v7NBnlKaopO2" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/nexgendata~patentsview-inventor-network-graph/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-nexgendata-patentsview-inventor-network-graph", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/nexgendata~patentsview-inventor-network-graph/runs": { "post": { "operationId": "runs-sync-nexgendata-patentsview-inventor-network-graph", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/nexgendata~patentsview-inventor-network-graph/run-sync": { "post": { "operationId": "run-sync-nexgendata-patentsview-inventor-network-graph", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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_type": { "title": "Query type", "enum": [ "assignee", "inventor", "keyword" ], "type": "string", "description": "Search by assignee (company), inventor, or keyword/topic.", "default": "assignee" }, "query_value": { "title": "Query value", "type": "string", "description": "The company, inventor, or topic to explore (e.g. Tesla, 'solid state battery')." }, "max_inventors": { "title": "Max inventors", "type": "integer", "description": "Maximum top inventors to return.", "default": 25 }, "max_patents": { "title": "Patents to scan", "type": "integer", "description": "How many patents to scan and aggregate over (more = better coverage, higher cost).", "default": 200 }, "include_raw": { "title": "Include raw", "type": "boolean", "description": "Attach extra raw fields.", "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 } } } } } } } } } } ```