Exchange & Trading Intelligence
MCP Services

PROCESSING PIPELINE ════════════════════════════════════════════════════════════ Step 1: Scrape target domain homepage, /about, /services, /pricing pages Step 2: Query domain DB for IAB category, PageRank, domain age, country Step 3: Send scraped content to GPT-4o with Exchange & Trading Intelligence-specific analysis prompt Step 4: Extract key intelligence: offerings, pricing, team, partnerships Step 5: Score against industry benchmarks from domain DB peers Step 6: Generate structured assessment with recommendations

MCP RESPONSE — exchange_trading_intelligence_website_analyzer ════════════════════════════════════════════════════════════ targetcompany.com PageRank: 5.8/10 Age: 2,847 days ANALYSIS SUMMARY Content Quality:78/100 — Professional, well-structured content Service Offerings:12 services listed, 3 appear recently added Pricing Transparency:No public pricing — enterprise-only model Digital Maturity:High — Modern tech stack, responsive design, API docs present KEY FINDINGS: Strong Exchange & Trading Intelligence positioning with clear market differentiation Recent expansion into adjacent services (3 new pages in 30 days) Competitor gap: No self-service option vs. industry trend toward automation RECOMMENDATION: Monitor for pricing changes and service expansion signals

PROCESSING PIPELINE ════════════════════════════════════════════════════════════ Step 1: Look up target domain's IAB category and PageRank in domain DB Step 2: Find top N domains in same IAB category by PageRank Step 3: Scrape key pages (/pricing, /products, /about) for each competitor Step 4: Use GPT-4o to extract and compare service offerings Step 5: Build competitive matrix with feature/pricing comparison Step 6: Rank competitors by threat level and identify gaps

MCP RESPONSE — exchange_trading_intelligence_competitor_scanner ════════════════════════════════════════════════════════════ SECTOR: COMPETITORS FOUND: Top 15 analyzed COMPETITIVE MATRIX: PageRank Features Pricing Content leader-corp.comp Highp95/100 challenger-inc.comw Midw68/100 yourcompany.comw Hiddenp78/100 newcomer.iop Loww62/100 THREAT ASSESSMENT: newcomer.io — High threat: rapid feature growth, aggressive pricing challenger-inc.com — Moderate: expanding into your service areas leader-corp.com — Low immediate threat: different market segment

PROCESSING PIPELINE ════════════════════════════════════════════════════════════ Step 1: Query domain DB for domains matching IAB category and filters Step 2: Identify domains with rising PageRank (growth signal) Step 3: Filter by country, domain age, and web filtering category Step 4: Scrape top opportunities for business model and size signals Step 5: Score and rank opportunities by potential value Step 6: Generate opportunity report with actionable recommendations

MCP RESPONSE — exchange_trading_intelligence_opportunity_finder ════════════════════════════════════════════════════════════ SEARCH: Country: US RESULTS: Top 20 scored TOP OPPORTUNITIES: fastgrow-solutions.comp PageRank: 5.2 → 6.8 (+31% in 90 days) Signal: Rapid hiring (47 new roles), new product launch detected emerging-tech.iop PageRank: 3.8 → 4.9 (+29%) Signal: Series B funding detected, API documentation added scale-platform.comw PageRank: 4.1 → 4.8 (+17%) Signal: Geographic expansion (3 new country pages) SECTOR TREND: Net growth of 12% in new domain registrations QoQ

PROCESSING PIPELINE ════════════════════════════════════════════════════════════ Step 1: Scrape /privacy, /terms, /legal, /compliance pages Step 2: Screenshot key pages for visual compliance indicators Step 3: Run GPT-4o analysis against selected compliance frameworks Step 4: Check for required disclosures, badges, and certifications Step 5: Identify missing elements and compliance gaps Step 6: Generate compliance scorecard with remediation priorities

MCP RESPONSE — exchange_trading_intelligence_compliance_checker ════════════════════════════════════════════════════════════ target-business.com Compliance Scan Results COMPLIANCE SCORE: 64/100 Privacy Policy:Present, last updated 2025-11-15 Terms of Service:Present, covers key areas Cookie Consent:Missing — no cookie banner detected Accessibility:Partial — missing alt tags on 34% of images Data Protection:GDPR notice present but CCPA rights missing Security Certs:SSL valid, SOC2 badge found on /security GAPS IDENTIFIED: 1. No cookie consent mechanism — required under GDPR/ePrivacy 2. CCPA consumer rights notice absent — required for CA users 3. Accessibility score 62/100 — below WCAG 2.1 AA standard PRIORITY: Cookie consent mechanism — highest regulatory risk

PROCESSING PIPELINE ════════════════════════════════════════════════════════════ Step 1: Scrape /press, /blog, /news pages from each domain Step 2: Extract and parse individual articles with dates Step 3: Run GPT-4o sentiment analysis on each piece of content Step 4: Classify tone: POSITIVE / NEUTRAL / DEFENSIVE / CRISIS Step 5: Detect emerging topics and language pattern shifts Step 6: Calculate trend and generate sentiment trajectory

MCP RESPONSE — exchange_trading_intelligence_sentiment_monitor ════════════════════════════════════════════════════════════ DOMAINS MONITORED: ARTICLES ANALYZED: 127 SENTIMENT OVERVIEW: company-alpha.comp Trend: Stable company-beta.comw Trend: Declining company-gamma.comn Trend: Sharp decline TOPIC SHIFTS DETECTED: "AI integration" — mentioned 34 times across sector (+200% QoQ) "cost optimization" — emerging defensive language pattern "restructuring" — appeared 8 times in company-gamma.com content ALERT: company-gamma.com showing pre-crisis language pattern Recommendation: Enhanced monitoring, review exposure/relationship

PROCESSING PIPELINE ════════════════════════════════════════════════════════════ Step 1: Scrape target website HTML, headers, and JavaScript references Step 2: Detect frameworks, libraries, CMS, analytics, and CDN providers Step 3: Identify AI/ML tool adoption from API calls and script references Step 4: Query domain DB for peer comparison in same IAB category Step 5: Benchmark technology adoption against sector standards Step 6: Generate technology profile with maturity scoring

MCP RESPONSE — exchange_trading_intelligence_tech_detector ════════════════════════════════════════════════════════════ target-tech.com Technology Stack Analysis TECH STACK DETECTED: Frontend:React 18.2, TypeScript, Tailwind CSS CMS:Headless WordPress API Analytics:Google Analytics 4, Mixpanel, Hotjar CDN:Cloudflare (Enterprise) Security:Cloudflare WAF, reCAPTCHA v3 AI/ML:OpenAI API detected, Intercom AI chatbot MATURITY SCORE: 82/100 (Above sector average of 61) Sector Percentile: 89th percentile in Crypto & Web3 NOTABLE FINDINGS: Early AI adopter — OpenAI integration ahead of 87% of peers jQuery 3.6 still loaded alongside React (legacy debt signal) Modern security posture with enterprise-grade CDN

PROCESSING PIPELINE ════════════════════════════════════════════════════════════ Step 1: Scrape /about, /team, /leadership pages for each domain Step 2: Screenshot team pages for visual analysis with AI Vision Step 3: Extract names, titles, and photos using GPT-4o Step 4: Compare against historical baseline Step 5: Classify changes: DEPARTURE / NEW_HIRE / PROMOTION / RESTRUCTURE Step 6: Score organizational stability and flag alerts

MCP RESPONSE — exchange_trading_intelligence_leadership_tracker ════════════════════════════════════════════════════════════ DOMAINS TRACKED: BASELINE: 90 days ago CHANGES DETECTED (7 events across 4 companies): company-alpha.com DEPARTURE: CFO Jane Smith — removed from /team page (2026-02-01) TITLE_CHANGE: VP Ops → "Interim CFO" (2026-02-05) company-beta.com NEW_HIRE: CTO Mike Chen — former VP Engineering at BigTechCo NEW_HIRE: VP Product — expanding product team company-gamma.com DEPARTURE: CEO and COO both removed in same week STABILITY SCORES: company-beta.com: 91/100 (Growth mode — strategic hires) company-alpha.com: 52/100 (Finance leadership gap) company-gamma.com: 23/100 (CRITICAL — dual C-suite departure)

PROCESSING PIPELINE ════════════════════════════════════════════════════════════ Step 1: Screenshot homepage, key landing pages, and about page Step 2: Analyze visual design quality with AI Vision (layout, typography, imagery) Step 3: Scrape and assess content quality (clarity, professionalism, consistency) Step 4: Extract social proof: customer logos, case studies, testimonials, awards Step 5: Check domain authority indicators from domain DB (PageRank, age) Step 6: Generate brand strength scorecard with positioning analysis

MCP RESPONSE — exchange_trading_intelligence_brand_assessor ════════════════════════════════════════════════════════════ brand-target.com Brand Assessment for Crypto & Web3 BRAND STRENGTH SCORE: 67/100 Visual Design:81/100 — Modern, clean, professional design Content Quality:62/100 — Inconsistent tone, some outdated pages Social Proof:48/100 — Only 4 case studies, no customer logos Domain Authority:72/100 — PageRank 5.4, established domain (3,200 days) POSITIONING ANALYSIS: Strong visual identity — premium look and feel Messaging unclear — value proposition not immediately visible Weak social proof — competitors average 15+ case studies VS COMPETITORS: Rank: 3rd of 5 assessed TOP RECOMMENDATION: Add customer logos and expand case studies

PROCESSING PIPELINE ════════════════════════════════════════════════════════════ Step 1: Scrape /partners, /integrations, /ecosystem, /marketplace pages Step 2: Extract partner company names and domains via AI entity extraction Step 3: Look up each partner in 100M domain DB for enrichment Step 4: Assess partner health (PageRank, domain age, IAB category) Step 5: Map partnership network with relationship types Step 6: Identify gaps and potential new partnership opportunities

MCP RESPONSE — exchange_trading_intelligence_partnership_mapper ════════════════════════════════════════════════════════════ your-company.com Partnership Ecosystem Map PARTNERS DISCOVERED: TECHNOLOGY PARTNERS (12): techpartner-a.comp Healthy Strategic integration platform-b.iop Healthy API partnership legacy-tool.netn Declining Risk: dependency on weak partner CHANNEL PARTNERS (8): reseller-one.comp Active referral program ECOSYSTEM HEALTH: Overall: 74/100 — Strong technology partnerships Risk: 3 partners showing PageRank decline (potential instability) Gap: No partnerships in Asia-Pacific region OPPORTUNITY: 14 potential partners identified in domain DB (matching IAB category, high PageRank, no existing partnership)

PROCESSING PIPELINE ════════════════════════════════════════════════════════════ Step 1: Aggregate domain DB statistics for target IAB category Step 2: Analyze new domain registration trends and growth rates Step 3: Track PageRank distribution shifts (rising vs. falling domains) Step 4: Sample and scrape top domains for content trend analysis Step 5: Use GPT-4o to identify emerging themes and strategic shifts Step 6: Generate executive trend report with visualizable data