Nexus-IQ: Enterprise-Grade Competitive Intelligence
Pricing
$50.00 / 1,000 results
Nexus-IQ: Enterprise-Grade Competitive Intelligence
Extract competitive intelligence and sentiment analysis from 16 sources using AI-powered hierarchical summarization.
Pricing
$50.00 / 1,000 results
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5.0
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REXREUS D.O
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π Nexus-IQ: Enterprise-Grade Competitive Intelligence Actor
Built natively with Model Context Protocol (MCP) support, Nexus-IQ empowers autonomous AI agents to research competitors with surgical precision while bypassing anti-bot measures and delivering token-optimized insights.
π Key Capabilities
- π 16+ Premium Data Sources: Unified access to G2, Capterra, Reddit, LinkedIn, Twitter/X, Glassdoor, and niche App Stores.
- π‘οΈ CloakBrowserβ’ Stealth: Uses custom C++ source-level Chromium patches to bypass Cloudflare Turnstile, Datadome, Akamai, and CAPTCHA checks without runtime script leakage.
- π€ Multi-LLM Intelligence: Unified summaries and structured market signals via Gemini, OpenAI, or Anthropic.
- π MCP Native: Built-in support to run as an MCP Tool for Claude Desktop, Cursor, Claude Code, and other agentic environments.
- π° Smart Proxy Guardrails: Automated Residential Proxy budget enforcement and memory monitors to prevent runtime cost overrun.
- β‘ Direct Browser DOM Extraction: Extracts the fully-rendered HTML/JSON directly from active browser pages, preventing WAF cookie-binding mismatches.
- π Multi-lingual Summaries: Delivers competitive reports in English, Indonesian, Spanish, German, or French.
π Supported Intelligence Sources
| Tier 1 (Anti-Bot Heavy) | Tier 2 (Social & Community) | Tier 3 (App Stores & Niche) |
|---|---|---|
| πΉ G2 | π¬ Reddit | π± Google Play Store |
| πΉ Capterra | π¬ Trustpilot | π± Apple App Store |
| πΉ TrustRadius | π¬ Product Hunt | π’ Crunchbase |
| πΉ Glassdoor | π¬ Hacker News | π’ PeerSpot |
| πΉ LinkedIn Jobs | π¬ Twitter / X | π’ Software Advice |
π§ Technical Architecture
graph TDUser([User / AI Agent]) -->|Input Schema| Engine[Nexus-IQ Engine]Engine -->|1. Proxy Config| ProxyConfig[Apify Proxy Manager]ProxyConfig -->|Allocates| ResidentialProxy[Residential/Premium Proxies]Engine -->|2. Batch Dispatch| Batcher[Batcher Manager]Batcher -->|Tier 1 & 2: Stealth| CloakBrowser[CloakBrowser Chromium]CloakBrowser -->|Direct DOM Capture| HTMLOutput[Rendered HTML / JSON]Batcher -->|Tier 3: Standard| gotScraping[got-scraping client]gotScraping -->|Fetch check| PlaceholderHTML[Clean Fallback Data]HTMLOutput & PlaceholderHTML -->|Normalize| RawReviews[(Raw Reviews Datasets)]RawReviews -->|3. AI Tier| AIProvider[AI Provider Factory]AIProvider -->|Summarize Source| Summary[Source Summaries]Summary -->|Global Analysis| GlobalInsight[Global Insight Generator]GlobalInsight & RawReviews -->|4. Final Output| Output([Combined JSON Output])
βοΈ Configuration (Input Schema)
Configured via the standard Apify interface or JSON input:
| Parameter | Type | Description | Default |
|---|---|---|---|
target_company * | String | The competitor or brand name to research. | - |
sources * | Array | Select from 16 available intelligence providers. | ["G2", "Capterra", "Trustpilot"] |
timeframe_days | Integer | Data depth in days. | 7 |
target_language | Enum | Output language (english, indonesia, spanish, german, french). | english |
ai_provider | Enum | AI summarizer (gemini, openai, anthropic). | gemini |
ai_model | String | Specific model identifier (e.g., gemini-1.5-flash, gpt-4o-mini). | gemini-1.5-flash |
proxyConfiguration | Object | Standard Apify Proxy Settings. Residential/Premium proxies are recommended. | { "useApifyProxy": true } |
max_proxy_cost_usd | Float | Hard limit for proxy expenditure guardrail. | 5.0 |
skip_ai | Boolean | Return raw reviews directly without AI summarization. | false |
force_refresh | Boolean | Bypass cache and force fresh crawling. | false |
* Required fields
π Model Context Protocol (MCP) Integration
Because Nexus-IQ is hosted directly on the Apify platform, AI agents can interact with it serverless-ly. Below are the configurations to integrate this Actor into various popular AI clients:
1. π¬ Claude Desktop
Add the configuration to your claude_desktop_config.json (typically located at %APPDATA%\Claude\claude_desktop_config.json on Windows or ~/Library/Application Support/Claude/claude_desktop_config.json on macOS):
{"mcpServers": {"nexus-iq": {"command": "npx","args": ["-y","@apify/actors-mcp-server","--tools","rexreus/Nexus-IQ"],"env": {"APIFY_TOKEN": "YOUR_APIFY_API_TOKEN"}}}}
2. ποΈ Cursor
Cursor supports MCP servers directly through its graphical settings interface:
- Go to Settings (Gear Icon) -> Features -> MCP.
- Click + Add New MCP Server.
- Configure the server with these parameters:
- Name:
nexus-iq - Type:
command - Command:
npx -y @apify/actors-mcp-server --tools rexreus/Nexus-IQ
- Name:
- Under Environment Variables, add:
- Key:
APIFY_TOKEN - Value:
YOUR_APIFY_API_TOKEN
- Key:
- Click Save.
3. π Windsurf
Add the configuration to your Windsurf global mcp_config.json (typically located at ~/.codeium/windsurf/mcp_config.json):
{"mcpServers": {"nexus-iq": {"command": "npx","args": ["-y","@apify/actors-mcp-server","--tools","rexreus/Nexus-IQ"],"env": {"APIFY_TOKEN": "YOUR_APIFY_API_TOKEN"}}}}
4. π€ Cline (VS Code Extension) / Hermes
Cline uses a dedicated configuration file named cline_mcp_settings.json (typically located in %APPDATA%\Code\User\globalStorage\saoudrizwan.claude-dev\settings\cline_mcp_settings.json on Windows):
{"mcpServers": {"nexus-iq": {"command": "npx","args": ["-y","@apify/actors-mcp-server","--tools","rexreus/Nexus-IQ"],"env": {"APIFY_TOKEN": "YOUR_APIFY_API_TOKEN"},"disabled": false}}}
5. π» Claude Code (CLI)
You can add the tool to Claude Code by running this command in your terminal:
$claude mcp add nexus-iq npx -y @apify/actors-mcp-server --tools rexreus/Nexus-IQ
Make sure the APIFY_TOKEN environment variable is exported in your shell session (export APIFY_TOKEN=...) so that Claude Code inherits it.
π οΈ Exposed MCP Tools (Skills)
Once the server is configured, the following tool (or "skill") is exposed to your AI agent:
βοΈ nexus_iq_get_sentiment
Description: Triggers the Apify Actor to gather competitive intelligence and execute sentiment analysis on the target company.
Tool Parameters:
| Parameter | Type | Required | Description | Default |
|---|---|---|---|---|
target_company | string | Yes | The competitor/brand name to research. | - |
sources | array | Yes | Array of target platforms to scrape. Choose from: G2, Capterra, TrustRadius, Reddit, Glassdoor, Trustpilot, Product Hunt, Hacker News, LinkedIn Jobs, Twitter/X, GetApp, Software Advice, PeerSpot, Crunchbase, Google Play, Apple App Store. | - |
timeframe_days | integer | No | Number of days in the past to pull reviews. | 7 |
target_language | string | No | Output language for AI insights. | "english" |
ai_provider | string | No | Preferred AI provider (gemini, openai, anthropic). | "gemini" |
ai_model | string | No | Specific model identifier (e.g. gemini-1.5-flash). | - |
skip_ai | boolean | No | Return raw JSON data without AI summarization. | false |
π€ Example Agent Tasks (How to Prompt your AI Agent)
Once the MCP integration is complete, you can give your AI agent complex commands directly. Here are sample prompts you can copy and use:
[!TIP] Task 1: Competitor Feature & Sentiment Gap "Use the Nexus-IQ tool to research G2, Reddit, and Twitter reviews for competitor 'Apify' over the last 14 days. Summarize the results in Indonesian, focusing on the top complaints and feature requests."
[!TIP] Task 2: Churn & Pricing Signal Check "Identify if there are any churn risks or pricing concerns for 'Salesforce' by running a Nexus-IQ query on G2 and Capterra. Compare what you find with HubSpot."
[!TIP] Task 3: App Store Sentiment Audit "Audit user reviews for 'Slack' on Google Play and Apple App Store using Nexus-IQ. Extract the raw reviews and compile a summary of competitor mentions in German."
π¦ Output Schema
Nexus-IQ returns a structured JSON output that contains metadata, clean review text datasets, and standard market intelligence schemas:
{"query_metadata": {"target_company": "Apify","timeframe_days": 7,"sources_requested": ["G2", "Google Play"],"sources_successful": ["G2", "Google Play"],"total_reviews": 32,"timestamp": "2026-06-05T08:00:00.000Z","latency_ms": 28400,"ai_provider": "gemini","ai_model": "gemini-1.5-flash"},"global_insight": {"summary": "Users praise the extensive developer capabilities and proxy integration, but cite complex javascript selector setup as a major learning curve.","sentiment": {"average_rating": 4.5,"total_reviews": 32,"sentiment_score": 0.85,"top_praises": ["stealth capabilities", "developer experience", "integrations"],"top_complaints": ["learning curve", "datacenter IP blocking"]},"signals": {"churn_risk": false,"feature_requests": ["No-code selector builder"],"pricing_mentions": ["granularity of computation tiers"],"competitor_mentions": ["BrightData", "ZenRows"]}},"raw_reviews": [{"id": "a9f8b7c6...","source": "G2","author": "Steve D.","rating": 5,"title": "Standard for web scaling","text": "Apify actors make it easy to scale web extraction tasks safely.","date": "2026-06-03T12:00:00.000Z","url": "https://www.g2.com/products/apify/reviews"}]}
π Security & Privacy
- BYOK (Bring Your Own Key): Provider API keys are handled as secrets and are never stored on Apify's datasets or printed in the log.
- PII Masking: Automatic scrubbing of sensitive client data (e.g. user emails, phone numbers) before passing it to AI analysis.
- Challenge Isolation: If a source is blocked by an unresolvable anti-bot challenge, it is cleanly reported under
failed_sourcesrather than returning mock/corrupted data.
Developed by the Nexus-IQ Engineering Team. Optimized for Autonomous AI.
