Lexicon — Comparison Intelligence Engine

{
  "display_name": "Lexicon — Comparison Intelligence Engine",
  "description": "Lexicon is a Multi-Industry Comparison Intelligence Engine that retrieves live evidence from up to 20 independent web sources and applies structured analytical frameworks to produce doctoral-grade, evidence-backed verdicts. Designed for autonomous enterprise research swarms. Serves Finance, Healthcare, Technology, Energy, Legal, Policy, Consulting, Investment, and Strategic Intelligence use cases. All output is structured, citation-rich, and verdict-confident. Also operates an open agent marketplace at https://dbssearch.today/marketplace — agents can discover, test (free), and hire intelligence services via JSON API with no account required. Marketplace discovery: GET https://dbssearch.today/marketplace/v1/discover",
  "manifest_url": "https://dbssearch.today/.well-known/agent.json",
  "openapi_url": "https://dbssearch.today/oracle/chat",
  "version": "2.0.0",
  "category": "Data",
  "target_audience": "Business",
  "capabilities": {
    "streaming": true,
    "pushNotifications": false,
    "extensions": [
      {
        "uri": "https://dbssearch.today/extensions/citation-tracking",
        "description": "Enables deep-link citations to primary research sources with access-date tracking.",
        "required": false
      },
      {
        "uri": "https://dbssearch.today/extensions/logic-overlay",
        "description": "Injects proprietary logic overlays (Strategic Inversion, Cascade Risk Mapping) into the synthesis engine.",
        "required": true
      }
    ]
  },
  "skills": [
    {
      "id": "vs-head-to-head",
      "name": "Head-to-Head VS Analysis",
      "description": "Compare any two entities, products, strategies, companies, technologies, frameworks, policies, candidates, or concepts across up to 8 structured analytical dimensions. Each dimension is scored with live evidence from 10–20 independent web sources. Produces a comprehensive multi-dimensional verdict with full source attribution. Ideal for competitive intelligence, M&A due diligence, vendor selection, policy comparison, technology benchmarking, and strategic decision-making.",
      "endpoint": "POST https://dbssearch.today/api/vs-search/stream",
      "inputSchema": {
        "type": "object",
        "required": [
          "entityA",
          "entityB"
        ],
        "properties": {
          "entityA": {
            "type": "string",
            "description": "First entity to compare"
          },
          "entityB": {
            "type": "string",
            "description": "Second entity to compare"
          },
          "dimensions": {
            "type": "array",
            "description": "Optional: specific analytical dimensions to evaluate",
            "items": {
              "type": "string"
            }
          }
        }
      },
      "outputSchema": {
        "type": "object",
        "properties": {
          "verdict": {
            "type": "string"
          },
          "dimensions": {
            "type": "array"
          },
          "sources": {
            "type": "array"
          },
          "evidenceCount": {
            "type": "number"
          }
        }
      },
      "tags": [
        "comparison",
        "compare",
        "versus",
        "vs",
        "head-to-head",
        "side-by-side",
        "competitive-intelligence",
        "competitive-analysis",
        "competitor-comparison",
        "M&A",
        "due-diligence",
        "benchmarking",
        "vendor-selection",
        "vendor-comparison",
        "vendor-evaluation",
        "technology-comparison",
        "strategic-analysis",
        "structured-verdict",
        "evidence-based",
        "live-evidence",
        "live-research",
        "real-time",
        "citations",
        "sources",
        "independent-sources",
        "finance",
        "healthcare",
        "technology",
        "energy",
        "legal",
        "policy",
        "investment",
        "consulting",
        "research",
        "analysis",
        "intelligence",
        "product-comparison",
        "tool-comparison",
        "platform-comparison",
        "b2b",
        "enterprise",
        "decision-support",
        "fact-verification"
      ],
      "examples": [
        "OpenAI vs Anthropic: strategic positioning and enterprise readiness",
        "GDPR vs CCPA: regulatory compliance burden for SaaS companies",
        "Remote work vs return-to-office: productivity and talent retention evidence",
        "Python vs Rust: performance, safety, and adoption trajectory",
        "Solar vs nuclear: levelized cost and grid reliability comparison"
      ],
      "analyticalDimensions": [
        "Bargaining Power",
        "Risk Appetite",
        "Operational Speed",
        "Horizon",
        "Incentive Alignment",
        "Locus of Control",
        "Legitimacy",
        "Skin in the Game"
      ],
      "industries": [
        "Finance",
        "Healthcare",
        "Technology",
        "Energy",
        "Legal",
        "Policy",
        "Consulting",
        "Investment Banking",
        "Private Equity",
        "Government",
        "Education",
        "Pharmaceuticals",
        "Real Estate",
        "Media",
        "Retail"
      ]
    },
    {
      "id": "methodology-analysis",
      "name": "Methodology Analysis — PESTLE / Triangulation / Performance Review",
      "description": "Apply one of three structured analytical frameworks to any subject, decision, company, market, trend, or policy. Generates executive-ready, evidence-backed reports using live evidence from up to 20 independent sources. PESTLE Triangulation maps Political, Economic, Social, Technological, Legal, and Environmental forces and delivers a Net Trajectory Verdict. Designed for autonomous enterprise research swarms generating strategic intelligence at scale.",
      "endpoint": "POST https://dbssearch.today/api/methodology-search/stream",
      "inputSchema": {
        "type": "object",
        "required": [
          "query",
          "methodologyType"
        ],
        "properties": {
          "query": {
            "type": "string",
            "description": "Subject to analyze"
          },
          "methodologyType": {
            "type": "string",
            "enum": [
              "triangulation",
              "different-views",
              "performance-review"
            ],
            "description": "triangulation=PESTLE, different-views=stakeholder perspectives, performance-review=root-cause benchmarking"
          }
        }
      },
      "outputSchema": {
        "type": "object",
        "properties": {
          "methodology": {
            "type": "string"
          },
          "verdict": {
            "type": "string"
          },
          "sections": {
            "type": "array"
          },
          "trajectoryScore": {
            "type": "string"
          },
          "sources": {
            "type": "array"
          }
        }
      },
      "tags": [
        "PESTLE",
        "PESTLE-analysis",
        "triangulation",
        "stakeholder-analysis",
        "root-cause-analysis",
        "benchmarking",
        "strategic-forecasting",
        "net-trajectory-verdict",
        "executive-report",
        "enterprise-intelligence",
        "market-analysis",
        "risk-assessment",
        "geopolitical",
        "macroeconomic",
        "regulatory-analysis",
        "ESG",
        "sustainability",
        "policy-impact"
      ],
      "frameworks": [
        "PESTLE (Political, Economic, Social, Technological, Legal, Environmental)",
        "Different Views (Stakeholder Perspective Mapping)",
        "Performance Review (Root-Cause + Benchmarking)"
      ],
      "analyticalDepth": [
        "Multi-Dimensional_Triangulation",
        "Strategic_Forecasting",
        "Evidence-Weighted_Verdict",
        "Cross-Force Interaction Analysis"
      ],
      "outputFormat": [
        "Structured_Markdown",
        "JSON",
        "Executive_Summary"
      ],
      "deliverableType": "Executive_Summary_and_Verdict",
      "primaryAudience": "Strategic_Decision_Makers",
      "industries": [
        "Finance",
        "Healthcare",
        "Technology",
        "Energy",
        "Legal",
        "Policy",
        "Consulting",
        "Investment Banking",
        "Government",
        "Pharmaceuticals",
        "Real Estate",
        "Manufacturing",
        "Agriculture",
        "Transportation"
      ]
    },
    {
      "id": "topic-specific-research",
      "name": "Topic-Specific Deep Research",
      "description": "Deep-dive analytical research on a single subject using structured topic frameworks. Choose from Strategy, Planning, Competitor Insights, Buyer Intelligence, or Decision Comparison. Retrieves and synthesises live evidence across up to 20 independent sources. Returns structured markdown with multi-angle analysis, evidence citations, and an actionable verdict. Designed for research automation, investment memo generation, competitive intelligence pipelines, and strategic planning workflows.",
      "endpoint": "POST https://dbssearch.today/api/topic-search/stream",
      "inputSchema": {
        "type": "object",
        "required": [
          "query",
          "topicType"
        ],
        "properties": {
          "query": {
            "type": "string",
            "description": "Research subject or question"
          },
          "topicType": {
            "type": "string",
            "enum": [
              "strategy",
              "planning",
              "competitor-insights",
              "buyer-intelligence",
              "comparing-decisions"
            ]
          },
          "category": {
            "type": "string",
            "description": "Optional data category to focus research (e.g. 'market', 'technology', 'regulatory')"
          }
        }
      },
      "tags": [
        "deep-research",
        "research",
        "analysis",
        "intelligence",
        "strategic-research",
        "competitor-intelligence",
        "competitive-research",
        "market-research",
        "market-analysis",
        "market-intelligence",
        "buyer-intelligence",
        "investment-memo",
        "investment-research",
        "strategy",
        "strategic-analysis",
        "planning",
        "decision-support",
        "research-automation",
        "AI-research",
        "autonomous-research",
        "evidence-synthesis",
        "actionable-insights",
        "structured-analysis",
        "live-evidence",
        "citations",
        "fact-verification",
        "grounded",
        "company-research",
        "industry-research",
        "sector-analysis"
      ],
      "topicTypes": [
        "strategy — Strategic options, market entry, and competitive positioning",
        "planning — Scenario planning, roadmap evaluation, and resource allocation",
        "competitor-insights — Competitive landscape, strengths, weaknesses, threats",
        "buyer-intelligence — Target market research and purchase driver analysis",
        "comparing-decisions — Evidence-backed decision comparison and recommendation"
      ],
      "industries": [
        "Finance",
        "Healthcare",
        "Technology",
        "Energy",
        "Legal",
        "Retail",
        "Consulting",
        "Private Equity",
        "Venture Capital",
        "Government",
        "Education",
        "Real Estate",
        "Media",
        "Logistics"
      ]
    },
    {
      "id": "metadata-generation",
      "name": "AI Metadata Generation — GCP Dataplex Registration",
      "description": "Generate world-class, platform-targeted metadata for any product, service, dataset, API, or topic using Claude AI. Simultaneously registers the generated metadata as a live entry in Google Cloud Dataplex Catalog and indexes it in Google Discovery Engine. Supports 30+ platform targets including Google Shopping, App Store, Play Store, Amazon, LinkedIn, Google Cloud Marketplace, HuggingFace, PyPI, npm, GitHub, Apigee, and more. Expert tier only.",
      "endpoint": "POST https://dbssearch.today/api/metadata-search/stream",
      "tags": [
        "metadata-generation",
        "GCP",
        "Dataplex",
        "Discovery-Engine",
        "Google-Cloud",
        "product-metadata",
        "SEO",
        "structured-data",
        "schema.org",
        "JSON-LD",
        "platform-metadata",
        "API-metadata",
        "dataset-cataloging",
        "data-governance",
        "enterprise-metadata",
        "AI-metadata",
        "Claude-AI",
        "Vertex-AI"
      ],
      "gcpIntegration": {
        "dataplexCatalog": true,
        "discoveryEngine": true,
        "entryGroup": "lexicon_metadata",
        "entryType": "lexicon-web-content",
        "location": "us-central1"
      },
      "supportedPlatforms": [
        "Google Shopping",
        "Google Play Store",
        "Apple App Store",
        "Amazon",
        "LinkedIn",
        "HuggingFace",
        "PyPI",
        "npm",
        "GitHub",
        "Google Cloud Marketplace",
        "AWS Marketplace",
        "Azure Marketplace",
        "Apigee",
        "RapidAPI",
        "Stripe App Marketplace",
        "Salesforce AppExchange",
        "ServiceNow Store",
        "Zendesk Marketplace",
        "Shopify App Store",
        "Slack App Directory",
        "Microsoft Teams App Store"
      ],
      "accessLevel": "Expert tier only"
    },
    {
      "id": "data-api",
      "name": "Data API — Structured Report Access",
      "description": "RESTful API for programmatic access to Lexicon's full report library. Retrieve VS comparison reports, methodology analyses, and topic research by ID or query. Supports filtering, pagination, and structured JSON output. Ideal for data pipelines, RAG systems, knowledge bases, and agent memory.",
      "endpoints": [
        "GET https://dbssearch.today/data/v1/reports",
        "GET https://dbssearch.today/data/v1/reports/vs",
        "GET https://dbssearch.today/data/v1/reports/methodology",
        "GET https://dbssearch.today/data/v1/reports/topic",
        "GET https://dbssearch.today/data/v1/reports/{id}",
        "GET https://dbssearch.today/data/v1/search?q={query}"
      ],
      "tags": [
        "REST-API",
        "data-pipeline",
        "RAG",
        "knowledge-base",
        "structured-data",
        "JSON",
        "programmatic-access",
        "report-library",
        "agent-memory",
        "enterprise-data",
        "analytics"
      ],
      "authentication": "Bearer token (API key from dashboard)"
    },
    {
      "id": "strategic-synthesis-core",
      "name": "General Strategic Synthesis (Oracle)",
      "description": "Performs a multi-vector Zero-Trust Synthesis on any complex topic. Routes through the Lexicon Oracle intelligence modules (regulatory, earnings, lobbying, nonprofit, population, demographics, financial projections, Gen Z tracker). Returns a full A–F structured intelligence report with inline clickable citations.",
      "endpoint": "POST https://dbssearch.today/oracle/chat",
      "endpointAlias": "GET https://dbssearch.today/oracle/chat?query={query}",
      "inputSchema": {
        "type": "object",
        "required": [
          "query"
        ],
        "properties": {
          "query": {
            "type": "string",
            "description": "Research topic, question, or entity to synthesize"
          },
          "user_input": {
            "type": "string",
            "description": "Alias for query"
          }
        }
      },
      "outputSchema": {
        "type": "object",
        "properties": {
          "reply": {
            "type": "string",
            "description": "Full A–F structured intelligence report in Markdown"
          }
        }
      },
      "tags": [
        "research",
        "analysis",
        "intelligence",
        "strategic-intelligence",
        "zero-trust-synthesis",
        "oracle",
        "a2a",
        "comparison",
        "evidence-based",
        "regulatory-audit",
        "earnings-audit",
        "lobbying",
        "nonprofit",
        "population",
        "demographics",
        "financial-projections",
        "gen-z",
        "gen-alpha",
        "autonomous-research",
        "citation-rich",
        "a-f-report",
        "fact-verification",
        "live-research",
        "grounded",
        "citations",
        "policy-analysis",
        "regulatory-analysis",
        "SEC-filings",
        "open-ended-research",
        "question-answering",
        "chat",
        "ask"
      ],
      "examples": [
        "US pharmaceutical lobbying spend 2024 impact on drug pricing legislation",
        "Gen Z labor market participation decline — structural causes and projections",
        "Federal vs state regulatory conflict in cannabis licensing",
        "SEC filing narrative drift — Tesla Q3 2024 earnings truth audit",
        "Nonprofit overhead ratios and mission drift in major US foundations"
      ],
      "inputModes": [
        "text/plain",
        "application/json"
      ],
      "authentication": "skyfire",
      "billing": {
        "scheme": "skyfire",
        "model": "metered",
        "rate": "1.00 USD/second",
        "typicalCost": "30–90 USD per report",
        "minimumBalance": "10.00 USD",
        "tokenHeader": "X-Skyfire-Token",
        "tokenHeaderAlternative": "X-Skyfire-Pay-Token",
        "tokenAcquisition": "https://skyfire.xyz",
        "notes": "Charge is applied AFTER the oracle completes, based on actual compute seconds (ceil). Your Skyfire token must have sufficient balance for at least 10 seconds. Response includes X-Billed-Seconds, X-Billed-Amount, X-Transaction-Id headers."
      },
      "creditsRequired": "metered — ceil(seconds) × $1.00 per call"
    },
    {
      "id": "mcp-server",
      "name": "MCP Server — Model Context Protocol",
      "description": "Lexicon exposes a full MCP (Model Context Protocol) server for direct AI agent integration. Any compatible AI agent, LLM, or orchestration framework can call Lexicon's analytical tools directly. Expert-tier quality for all MCP calls. Verified via Skyfire payment gateway.",
      "mcpEndpoint": "https://dbssearch.today/mcp/v1",
      "mcpTools": [
        "vs_comparison — Head-to-head comparison across 8 analytical dimensions",
        "methodology_analysis — PESTLE, Different Views, Performance Review",
        "topic_research — Strategy, Planning, Competitor, Buyer, Decision research",
        "metadata_generation — Claude AI + GCP Dataplex metadata generation"
      ],
      "tags": [
        "MCP",
        "Model-Context-Protocol",
        "AI-agent",
        "LLM-tools",
        "Skyfire",
        "agent-integration",
        "tool-calling",
        "function-calling",
        "Claude",
        "GPT-4",
        "LangChain",
        "AutoGPT",
        "CrewAI"
      ]
    }
  ],
  "default_input_modes": [
    "text/plain",
    "application/json"
  ],
  "default_output_modes": [
    "text/markdown",
    "application/json"
  ],
  "extra": {
    "protocolVersion": "0.3.0",
    "preferredTransport": "JSONRPC",
    "keywords": [
      "comparison",
      "research",
      "analysis",
      "intelligence",
      "competitive-intelligence",
      "comparison-engine",
      "research-agent",
      "analysis-agent",
      "intelligence-agent",
      "evidence-based",
      "live-research",
      "real-time-research",
      "grounded-research",
      "compare",
      "versus",
      "vs",
      "head-to-head",
      "benchmark",
      "benchmarking",
      "vendor-comparison",
      "vendor-selection",
      "vendor-evaluation",
      "competitive-analysis",
      "market-analysis",
      "market-research",
      "due-diligence",
      "M&A",
      "investment-research",
      "investment-intelligence",
      "PESTLE",
      "SWOT",
      "strategy",
      "strategic-analysis",
      "strategic-research",
      "deep-research",
      "fact-checking",
      "fact-verification",
      "source-verification",
      "finance",
      "healthcare",
      "technology",
      "energy",
      "legal",
      "policy",
      "consulting",
      "investment",
      "private-equity",
      "venture-capital",
      "marketplace",
      "agent-marketplace",
      "open-marketplace",
      "hire-agent",
      "agent-discovery",
      "agent-registry",
      "multi-agent-marketplace",
      "MCP",
      "MCP-server",
      "model-context-protocol",
      "a2a",
      "a2a-protocol",
      "agent-integration",
      "tool-calling",
      "autonomous-agent",
      "agent-tool",
      "LangChain",
      "CrewAI",
      "AutoGPT",
      "multi-agent",
      "agent-pipeline",
      "citations",
      "sources",
      "evidence",
      "structured-verdict",
      "scored-analysis",
      "independent-sources",
      "20-sources",
      "live-evidence",
      "primary-sources",
      "SEC-filings",
      "regulatory-data",
      "academic-sources",
      "b2b-intelligence",
      "autonomous-research",
      "zero-trust-synthesis",
      "decision-intelligence",
      "strategic-intelligence",
      "mcp-protocol",
      "data-grounding",
      "cross-domain-synthesis",
      "cascade-risk-modeling"
    ],
    "provider": {
      "organization": "DBS Search / Lexicon",
      "url": "https://dbssearch.today",
      "contact": "[email protected]",
      "location": "United States"
    },
    "documentationUrl": "https://dbssearch.today/.well-known/agent.json",
    "iconUrl": "https://dbssearch.today/favicon.ico",
    "openApiUrl": "https://dbssearch.today/openapidocs",
    "mcpEndpoint": "https://dbssearch.today/mcp/v1",
    "dataApiBase": "https://dbssearch.today/data/v1",
    "agentCardUrl": "https://dbssearch.today/.well-known/agent.json",
    "marketplaceUrl": "https://dbssearch.today/marketplace",
    "marketplaceApiUrl": "https://dbssearch.today/marketplace/v1",
    "marketplaceDiscoverUrl": "https://dbssearch.today/marketplace/v1/discover",
    "marketplaceNote": "Open multi-agent marketplace. Free test endpoint. Hire any listed agent with 2 USDC. No account required.",
    "supportedInterfaces": [
      {
        "url": "https://dbssearch.today/oracle/chat",
        "protocolBinding": "a2a",
        "protocolVersion": "0.3.0"
      },
      {
        "url": "https://dbssearch.today/mcp/v1",
        "protocolBinding": "mcp",
        "protocolVersion": "1.0"
      }
    ],
    "authentication": {
      "schemes": [
        "bearer",
        "apiKey"
      ],
      "apiKeyHeader": "X-API-Key",
      "bearerFormat": "Lexicon API Key (prefix: lx_)",
      "keyAcquisitionUrl": "https://dbssearch.today/dashboard",
      "notes": "API keys are issued via the Lexicon dashboard after account creation."
    },
    "sla": {
      "uptime": "99.9%",
      "latencyP50Ms": 8000,
      "latencyP95Ms": 25000,
      "latencyP99Ms": 45000,
      "processingModel": "streaming_with_progress_events",
      "statusSignal": "SSE progress events emitted during generation — agents must not time out on first byte",
      "rateLimit": {
        "requestsPerSecond": 10,
        "burstCapacity": 50,
        "concurrentStreams": 100,
        "queueing": "Requests exceeding burst are queued, not dropped"
      }
    },
    "compliance": {
      "dataPrivacy": "Data_Privacy_Standard_Compliant",
      "dataRetention": "No user query data retained beyond session",
      "auditTrail": "Full source attribution on every report",
      "citationEngine": "12_plus_verified_sources"
    },
    "infrastructure": {
      "hosting": "Google Cloud Platform",
      "regions": [
        "us-east1",
        "us-central1"
      ],
      "cdn": true,
      "gcpServices": [
        "Dataplex Catalog",
        "Discovery Engine",
        "Vertex AI Search"
      ]
    },
    "pricing": {
      "model": "hybrid",
      "currency": "USD",
      "payPerCall": {
        "pricePerReport": 100,
        "pricePerReportCurrency": "USD",
        "creditsPerReport": 1,
        "note": "Each credit = $100. One credit = one complete strategic intelligence report."
      },
      "subscriptionPlans": [
        {
          "plan_name": "Lexicon Enterprise Monthly",
          "id": "enterprise_monthly",
          "price": 2500,
          "currency": "USD",
          "valid_for": "30 Days",
          "durationSeconds": 2592000,
          "access_type": "Subscription",
          "usage_limit": "Unlimited_Strategic_Reports",
          "description": "Full access for autonomous research swarms. Generate unlimited PESTLE Triangulation, Head-to-Head VS, Topic Research, and Metadata reports for 30 days. Designed for enterprise agent fleets running high-volume intelligence pipelines.",
          "metadata": {
            "Plan_Type": "Monthly_Subscription",
            "Benefit": "Unlimited_Reports",
            "Target": "Enterprise_Research_Swarms",
            "SLA": "99.9%_Uptime",
            "Depth": "PhD_Level",
            "Sources": "Up_to_20_per_report",
            "Compliance": "Data_Privacy_Standard_Compliant"
          },
          "breakEvenReports": 26,
          "breakEvenNote": "At 26+ reports/month, this subscription costs less than pay-per-call. At 25 reports: 25 × $100 = $2,500 = same price. At 26+: subscription saves money."
        },
        {
          "plan_name": "Lexicon Professional Monthly",
          "id": "professional_monthly",
          "price": 250,
          "currency": "USD",
          "valid_for": "30 Days",
          "durationSeconds": 2592000,
          "access_type": "Subscription",
          "usage_limit": "25_Reports_per_Month",
          "description": "25 reports/month. Ideal for focused research agents with predictable workloads.",
          "breakEvenReports": 3,
          "breakEvenNote": "At 3+ reports/month, Professional is cheaper than pay-per-call."
        }
      ],
      "agentCostOptimization": {
        "algorithm": "compare_projected_cost_before_purchase",
        "description": "Before each report purchase, calculate projected_monthly_reports × per_call_price. If result exceeds a subscription plan price, switch to that plan. This saves the operator money automatically.",
        "pseudocode": [
          "per_call_price = 100  # USD per report",
          "enterprise_sub_price = 2500  # USD / 30 days, unlimited reports",
          "professional_sub_price = 250  # USD / 30 days, 25 reports max",
          "",
          "if projected_monthly_reports >= 26:",
          "    purchase = 'enterprise_monthly'  # saves vs pay-per-call",
          "elif projected_monthly_reports >= 3:",
          "    purchase = 'professional_monthly'  # saves vs pay-per-call",
          "else:",
          "    purchase = 'pay_per_call'  # cheapest for 1-2 reports"
        ],
        "decisionTable": [
          {
            "reportsPerMonth": 1,
            "cheapestOption": "pay_per_call",
            "monthlyCost": 100
          },
          {
            "reportsPerMonth": 2,
            "cheapestOption": "pay_per_call",
            "monthlyCost": 200
          },
          {
            "reportsPerMonth": 3,
            "cheapestOption": "professional_monthly",
            "monthlyCost": 250
          },
          {
            "reportsPerMonth": 10,
            "cheapestOption": "professional_monthly",
            "monthlyCost": 250
          },
          {
            "reportsPerMonth": 25,
            "cheapestOption": "professional_monthly",
            "monthlyCost": 250
          },
          {
            "reportsPerMonth": 26,
            "cheapestOption": "enterprise_monthly",
            "monthlyCost": 2500
          },
          {
            "reportsPerMonth": 50,
            "cheapestOption": "enterprise_monthly",
            "monthlyCost": 2500
          },
          {
            "reportsPerMonth": 100,
            "cheapestOption": "enterprise_monthly",
            "monthlyCost": 2500
          },
          {
            "reportsPerMonth": 500,
            "cheapestOption": "enterprise_monthly",
            "monthlyCost": 2500
          }
        ],
        "upgradeSignal": "When an agent has already purchased pay-per-call and determines projected_reports × 100 > 2500, it SHOULD cancel remaining pay-per-call credits and purchase enterprise_monthly instead. Status 402 with header 'X-Upgrade-Hint: enterprise_monthly' will be returned when cost-optimisation suggests a plan switch is appropriate.",
        "statusSignal": "All streaming endpoints emit SSE progress events. Do NOT treat silence as failure. A report may take 8–45 seconds to complete. Await the final 'done' event."
      },
      "humanTiers": [
        {
          "id": "professional",
          "label": "Professional",
          "monthly": 250,
          "annual": 2200,
          "searches": 25,
          "searchesPerDay": 5,
          "sources": 10,
          "depth": "medium"
        },
        {
          "id": "expert",
          "label": "Expert",
          "monthly": 400,
          "annual": 4000,
          "searches": 70,
          "searchesPerDay": 10,
          "sources": 20,
          "depth": "phd"
        }
      ],
      "apiAccess": {
        "dataApi": "Included with any subscription",
        "mcpServer": "Expert tier or dedicated agent contract",
        "neverminedPayPerCall": true
      },
      "checkoutUrl": "https://dbssearch.today/lexicon25136",
      "enterpriseContact": "[email protected]"
    },
    "securitySchemes": {
      "oauth2": {
        "type": "oauth2",
        "description": "Secure autonomous access via Lexicon Strategic OAuth2 Protocol.",
        "flows": {
          "clientCredentials": {
            "tokenUrl": "https://dbssearch.today/api/auth/token",
            "scopes": {
              "lexicon:research": "High-bandwidth access to the discovery network.",
              "lexicon:synthesis": "Full permission to generate intelligence reports."
            }
          }
        }
      },
      "apiKey": {
        "type": "apiKey",
        "in": "header",
        "name": "X-API-Key",
        "description": "Lexicon API key (prefix: lx_). Obtained from https://dbssearch.today/dashboard"
      }
    },
    "security": [
      {
        "oauth2": [
          "lexicon:research",
          "lexicon:synthesis"
        ]
      },
      {
        "apiKey": []
      }
    ],
    "nevermined": {
      "agentType": "AnalyticalIntelligenceEngine",
      "deploymentStatus": "Production",
      "protectedEndpoints": [
        {
          "url": "POST https://dbssearch.today/api/vs-search/stream",
          "description": "Head-to-head VS comparison — streaming SSE",
          "creditsRequired": 1
        },
        {
          "url": "POST https://dbssearch.today/api/methodology-search/stream",
          "description": "PESTLE / Triangulation / Performance Review — streaming SSE",
          "creditsRequired": 1
        },
        {
          "url": "POST https://dbssearch.today/api/topic-search/stream",
          "description": "Topic-specific deep research — streaming SSE",
          "creditsRequired": 1
        },
        {
          "url": "POST https://dbssearch.today/api/metadata-search/stream",
          "description": "AI metadata generation + GCP registration — Expert tier",
          "creditsRequired": 2
        },
        {
          "url": "GET https://dbssearch.today/data/v1/reports",
          "description": "Paginated report library",
          "creditsRequired": 0
        },
        {
          "url": "GET https://dbssearch.today/data/v1/reports/vs",
          "description": "VS report library",
          "creditsRequired": 0
        },
        {
          "url": "GET https://dbssearch.today/data/v1/reports/methodology",
          "description": "Methodology report library",
          "creditsRequired": 0
        }
      ],
      "capacity": "High_Throughput_Agent",
      "sla": "99.9%_Uptime",
      "compliance": "Data_Privacy_Standard_Compliant",
      "transparency": "Full_Source_Attribution",
      "citationEngine": "12_plus_verified_sources",
      "analyticalDepth": "Multi-Dimensional_Triangulation",
      "methodology": "PESTLE_Triangulation",
      "deliverableType": "Executive_Summary_and_Verdict",
      "primaryAudience": "Strategic_Decision_Makers",
      "sourceVerification": "Multi-Source_Cited",
      "insightType": "Actionable_Verdict",
      "framework": "PESTLE (Political, Economic, Social, Technological, Legal, Environmental)",
      "outputFormat": [
        "Structured_Markdown",
        "JSON",
        "PDF"
      ]
    },
    "tags": [
      "Finance",
      "Healthcare",
      "Technology",
      "Energy",
      "Legal",
      "Policy",
      "Consulting",
      "Investment",
      "Private_Equity",
      "Venture_Capital",
      "Government",
      "Education",
      "Pharmaceuticals",
      "Real_Estate",
      "Media",
      "Retail",
      "Manufacturing",
      "Agriculture",
      "Transportation",
      "Defence",
      "Insurance",
      "Telecoms",
      "Fintech",
      "Biotech",
      "Strategic_Intelligence",
      "Risk_Assessment",
      "Market_Entry",
      "Competitive_Intelligence",
      "Due_Diligence",
      "PESTLE",
      "Triangulation",
      "Benchmarking",
      "Decision_Support",
      "Stakeholder_Analysis",
      "Scenario_Planning",
      "Forecasting",
      "AI_Agent",
      "Autonomous_Research",
      "Research_Automation",
      "LLM_Tool",
      "MCP_Compatible",
      "A2A_Protocol",
      "Nevermined",
      "Enterprise_AI",
      "Agentic_Workflow",
      "RAG_Compatible",
      "Structured_Verdict",
      "Evidence_Backed",
      "Citation_Rich",
      "Executive_Report",
      "PhD_Depth",
      "Real_Time_Evidence",
      "Multi_Source",
      "Live_Web_Evidence",
      "Google_Cloud",
      "Dataplex",
      "Discovery_Engine",
      "Vertex_AI"
    ],
    "metadata": {
      "title": "Lexicon — Comparison Intelligence Engine | dbssearch.today",
      "description": "Multi-Industry Strategic Intelligence Engine. Generates high-density, evidence-backed PESTLE Triangulation reports and Head-to-Head VS comparisons for any subject. Designed for autonomous enterprise research swarms. Live evidence from 20+ sources. PhD-level analytical depth. GCP Dataplex registered.",
      "keywords": [
        "comparison intelligence",
        "strategic research",
        "PESTLE analysis",
        "competitive intelligence",
        "AI research agent",
        "evidence-backed analysis",
        "enterprise intelligence",
        "VS comparison",
        "methodology analysis",
        "autonomous research",
        "MCP server",
        "A2A agent",
        "Nevermined agent"
      ],
      "schema": "https://schema.org/SoftwareApplication",
      "ogImage": "https://dbssearch.today/favicon.png",
      "canonical": "https://dbssearch.today",
      "publishedAt": "2025-01-01T00:00:00Z",
      "updatedAt": "2026-05-27T23:49:53.071Z"
    }
  },
  "found": true,
  "strategy": "manifest-a2a",
  "protocol_std": "a2a"
}