# Name Clearance Verdict — Trademark & Domain Check (`shane_reich/name-clearance-verdict`) Actor One call: is this brand name safe to use? Trademark knockout across USPTO + TMview (70+ IP offices) with phonetic collision matching, domain availability, best-effort social handles, a composite risk grade, and alternative names that clear. Built for AI agents via MCP. Not legal advice. - **URL**: https://apify.com/shane\_reich/name-clearance-verdict.md - **Developed by:** [Shane Reich](https://apify.com/shane_reich) (community) - **Categories:** MCP servers, AI, Agents - **Stats:** 1 total users, 0 monthly users, 0.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing $100.00 / 1,000 clearance verdicts 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 ## Brand Name Clearance — is this name safe to use? One call answers what every founder and AI agent asks before committing to a name: **can I actually use it?** Send a name + one-line product description. Get one structured verdict from official public sources: - **Trademark knockout**: USPTO + TMview (EUIPO's aggregation of 70+ IP offices) — live/pending marks only - **Phonetic & fuzzy matching** — catches *Kwik/Quick*, *Lyft/Lift* conflicts, not just exact hits - **Nice-class inference** from your description - **Domains** via RDAP (com, io, co, ai, app, dev) - **Handles** (GitHub, X, Instagram) — best-effort, labeled - **One grade**: CLEAR / CAUTION / HIGH_RISK / UNKNOWN - **Alternatives that clear** the same knockout ### Pricing **$0.10 per completed verdict** ($100 / 1,000). That's the whole model: no subscription, no minimum, no tiers. **What is never charged:** runs where a trademark source failed, errors, and partial results. You pay for verdicts, not apologies. For comparison, a single manual knockout search — USPTO, then TMview, then domains, then handles — takes a person about an hour. ### Agent-first (MCP) Call it mid-conversation from Claude, ChatGPT, Cursor, n8n, Make, or any MCP client. Deterministic JSON out. Listed in the [official MCP registry](https://registry.modelcontextprotocol.io) as `io.github.sreichsbb-stack/reich-tools`. Add to any MCP client: ```json { "mcpServers": { "reich-tools": { "url": "https://mcp.apify.com?tools=shane_reich/name-clearance-verdict,shane_reich/stock-edge-signals" } } } ```` ### Example `{"name": "Zephyrion", "description": "AI fitness app"}` → `HIGH_RISK — live mark 'ZEPHYRION' — identical` Real result: "Zephyrion" looks free but carries a registered EU mark (class 9) and a live US filing (class 20). Exactly the collision this catches before it costs you. ### Honesty - A grade is **never** CLEAR if a trademark source failed — partial searches say so, loudly. - Handle checks are best-effort and labeled. - This is a **knockout search**, not legal advice. Identical names can coexist across unrelated classes; near misses can be fatal in related ones. Final calls belong with IP counsel. ### Why I built this after watching people fall in love with names that were already taken — and only finding out after the logo, the domain hunt, and the printing. Five seconds of checking beats months of rebranding. It's maintained, honest about its limits, and if it breaks I fix it. Tell me which office or TLD you need next. *** *Part of the Reich "tools that tell you the truth" line — see also [Stock Edge Signals](https://apify.com/shane_reich/stock-edge-signals).* # Actor input Schema ## `name` (type: `string`): The proposed brand/product name, e.g. 'Zephyrion' ## `description` (type: `string`): One line, e.g. 'AI-powered fitness coaching app'. Used to infer Nice classes so the trademark search targets the right categories. ## `check_alternatives` (type: `boolean`): If the name scores CAUTION or HIGH\_RISK, also return up to 3 variant names that pass the trademark knockout. ## `tlds` (type: `array`): Domain endings to check availability for. ## Actor input object example ```json { "name": "Zephyrion", "description": "AI fitness app", "check_alternatives": true, "tlds": [ "com", "io", "co", "ai", "app", "dev" ] } ``` # Actor output Schema ## `verdicts` (type: `string`): No description # 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 = {}; // Run the Actor and wait for it to finish const run = await client.actor("shane_reich/name-clearance-verdict").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 = {} # Run the Actor and wait for it to finish run = client.actor("shane_reich/name-clearance-verdict").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 '{}' | apify call shane_reich/name-clearance-verdict --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=shane_reich/name-clearance-verdict", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Name Clearance Verdict — Trademark & Domain Check", "description": "One call: is this brand name safe to use? Trademark knockout across USPTO + TMview (70+ IP offices) with phonetic collision matching, domain availability, best-effort social handles, a composite risk grade, and alternative names that clear. Built for AI agents via MCP. Not legal advice.", "version": "0.1", "x-build-id": "f7l5RxWCswAVCZsE3" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/shane_reich~name-clearance-verdict/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-shane_reich-name-clearance-verdict", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/shane_reich~name-clearance-verdict/runs": { "post": { "operationId": "runs-sync-shane_reich-name-clearance-verdict", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/shane_reich~name-clearance-verdict/run-sync": { "post": { "operationId": "run-sync-shane_reich-name-clearance-verdict", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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", "required": [ "name" ], "properties": { "name": { "title": "Brand name to clear", "type": "string", "description": "The proposed brand/product name, e.g. 'Zephyrion'", "default": "Zephyrion" }, "description": { "title": "What the product/business is", "type": "string", "description": "One line, e.g. 'AI-powered fitness coaching app'. Used to infer Nice classes so the trademark search targets the right categories.", "default": "AI fitness app" }, "check_alternatives": { "title": "Suggest alternatives that clear", "type": "boolean", "description": "If the name scores CAUTION or HIGH_RISK, also return up to 3 variant names that pass the trademark knockout.", "default": true }, "tlds": { "title": "TLDs to check", "type": "array", "description": "Domain endings to check availability for.", "default": [ "com", "io", "co", "ai", "app", "dev" ], "items": { "type": "string" } } } }, "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 } } } } } } } } } } ```