# Ai Trademark Conflict Analyzer (`vibexcoder/ai-trademark-conflict-analyzer`) Actor

Check if your brand name conflicts with existing USPTO trademarks before you launch. Get risk scores, phonetic matching, and safer alternatives.

- **URL**: https://apify.com/vibexcoder/ai-trademark-conflict-analyzer.md
- **Developed by:** [Nas](https://apify.com/vibexcoder) (community)
- **Categories:** AI, Automation
- **Stats:** 7 total users, 0 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

Pay per usage

This Actor is paid per platform usage. The Actor is free to use, and you only pay for the Apify platform usage, which gets cheaper the higher subscription plan you have.

Learn more: https://docs.apify.com/actors/running/actors-in-store.md#pay-per-usage

## 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.

- **AI agents and MCP clients** — the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use).
- **Agentic workflows and local Actor development** — [Agent Skills](https://apify.com/.well-known/agent-skills/index.json) with the [Apify CLI](https://docs.apify.com/cli/docs.md): `npm install -g apify-cli`, then `apify login`.
- **JavaScript/TypeScript projects** — the official [JS/TS client](https://docs.apify.com/api/client/js/docs.md): `npm install apify-client`.
- **Python projects** — the official [Python client](https://docs.apify.com/api/client/python/docs.md): `pip install apify-client`.
- **Any other language** — 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

## AI Trademark Conflict Analyzer

An Apify Actor that checks if a proposed trademark conflicts with existing registered marks using multiple similarity algorithms.

### Features

- **Multi-algorithm similarity analysis**: Phonetic (metaphone/soundex), visual, fuzzy (Levenshtein), word overlap, and containment matching
- **Risk scoring**: 0-100 score with 4 risk levels (LOW, MEDIUM, HIGH, CRITICAL)
- **USPTO trademark database**: Searches against real trademark data
- **Smart recommendations**: Provides detailed recommendations and alternative name suggestions

### Input

| Field | Type | Description | Default |
|-------|------|-------------|---------|
| proposedMark | string | The trademark/brand name to analyze | Required |
| goodsServices | string | Description of goods/services | "" |
| searchDepth | string | Search depth: quick/standard/comprehensive | "standard" |
| includeDeadMarks | boolean | Include dead/abandoned marks | false |
| maxResults | integer | Maximum similar marks to return | 20 |

### Output

The actor outputs a comprehensive trademark analysis report including:

- **Risk Assessment**: Overall risk level and score (0-100)
- **Similar Marks**: List of potentially conflicting trademarks with similarity breakdowns
- **Recommendations**: Primary recommendation and detailed action items
- **Alternative Names**: Suggested safer alternatives

### Example Input

```json
{
  "proposedMark": "TechFlow",
  "goodsServices": "Software, mobile applications",
  "searchDepth": "standard",
  "includeDeadMarks": false,
  "maxResults": 20
}
```

### Example Output

```json
{
  "proposedMark": "TechFlow",
  "conflictRisk": "HIGH",
  "riskScore": 75,
  "totalConflicts": 5,
  "similarMarks": [...],
  "recommendation": "WARNING - TechFlow faces significant conflicts...",
  "saferAlternatives": ["Nova TechFlow", "TechFlow Pro", ...]
}
```

### Similarity Algorithms

1. **Exact Match**: Direct string comparison
2. **Phonetic**: Metaphone and Soundex algorithms for sound-alike detection
3. **Visual**: Character-level visual similarity
4. **Fuzzy**: Levenshtein distance for typo tolerance
5. **Contains**: Substring detection
6. **Word Overlap**: Common word analysis

### Disclaimer

This analysis is for informational purposes only and does not constitute legal advice. Consult a trademark attorney before filing.

# Actor input Schema

## `proposedMark` (type: `string`):

The trademark or brand name you want to analyze for conflicts

## `goodsServices` (type: `string`):

Description of goods or services the trademark will be used for

## `searchDepth` (type: `string`):

How thorough the search should be

## `includeDeadMarks` (type: `boolean`):

Whether to include dead or abandoned trademarks in the search

## `maxResults` (type: `integer`):

Maximum number of similar marks to return

## Actor input object example

```json
{
  "proposedMark": "TechFlow",
  "searchDepth": "standard",
  "includeDeadMarks": false,
  "maxResults": 20
}
```

# 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 '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {
    "proposedMark": "TechFlow",
    "goodsServices": ""
};

// Run the Actor and wait for it to finish
const run = await client.actor("vibexcoder/ai-trademark-conflict-analyzer").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 '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = {
    "proposedMark": "TechFlow",
    "goodsServices": "",
}

# Run the Actor and wait for it to finish
run = client.actor("vibexcoder/ai-trademark-conflict-analyzer").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
for item in client.dataset(run.default_dataset_id).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{
  "proposedMark": "TechFlow",
  "goodsServices": ""
}' |
apify call vibexcoder/ai-trademark-conflict-analyzer --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,vibexcoder/ai-trademark-conflict-analyzer"
        }
    }
}

```

The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer <APIFY_API_TOKEN>` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations).

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/PRqiPfWMY5hd1KH6O/builds/J5bekOFfj8HjvX9MC/openapi.json