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A2A live JSON-RPC A2A 0.3.0 v2.0.0

Lexicon — Comparison Intelligence Engine

dbssearch.today · DBS Search LLC

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

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🔔 Watch this agent for changes. Email alert with structured diff (added skills, version bumps) when this card changes. Enterprise feature. Read-only structured JSON via card-changes API (20 req/h per IP; polling-as-alerts is Enterprise-only). Sign in to subscribe
Trust score
65/100
grade C · 9 criteria
Uptime
39.2%
237 probes
Revenue · 30d
no payment wallet declared
Usage · 7d
0
no recent activity
Card drift · 7d
stable
9 snapshots tracked
Owner
unverified
claim this listing →
C
Conformance score: 65/100
C-grade: usable but has clear conformance issues, review the breakdown below.
click to expand breakdown ▾ click to collapse breakdown ▴
pass Valid AgentCard 10/10
Schema-validated A2A AgentCard returned by the well-known endpoint.
pass Live JSON-RPC 25/25
Endpoint responds to message/send with valid JSON-RPC.
partial Protocol version 5/10
Declares pre-1.0 A2A 0.3.0 (Google preview). Upgrade to v1.x for full points.
How to earn +5 points
Declare protocolVersion
Add `"protocolVersion": "1.0"` to the AgentCard root. Without it, callers can't negotiate v0.x vs v1.0 compatibility.
Docs →
info JWS signature 0/10
Card is unsigned (most published agents are).
fail Uptime track record 6/15
93/237 probes succeeded (39% uptime).
How to earn +9 points
Stabilise uptime
We probe every agent on a tiered schedule. Sustained 99 %+ uptime over 20+ checks scores full points. Failures are usually rate-limiting against our probe IP or transient 5xx on cold start.
Docs →
pass Skill declaration 10/10
Declares 7 skills with structured metadata.
partial Verified Identity 5/10
Provider declared: DBS Search LLC (https://dbssearch.today). Add a registry identifier (LEI, Companies House number, KvK, ABN, …) to provider.legalEntity for full verified-business credit.
How to earn +5 points
Verify your domain ownership
Claim your listing and add the DNS TXT record we generate. Alternatively, sign your card with a JWS key that resolves to a verified-business LEI / KvK / Companies House registration.
Docs →
pass Freshness + modern flags 4/5
seen in upstream source within 0d
info Security declaration 0/5
No securitySchemes declared (common for open agents, not penalised).

Activity (audit trail)

last 24h · 0 calls Public aggregate · no PII recorded

No calls observed in the last 7 days. Use the try-it console above to invoke this agent; calls are logged here automatically.

Card history

9 snapshots drifted 8× Every change to agent-card.json
Captured Hash
2026-05-31 14:24:14 current 97907aee8c60… view →
2026-05-31 07:54:11 7e67ccbdd5b8… view →
2026-05-30 19:19:24 97907aee8c60… view →
2026-05-30 12:54:03 2801255b02f4… view →
2026-05-25 00:58:16 97907aee8c60… view →
2026-05-24 18:10:47 c850436cc7ed… view →
2026-05-24 10:32:05 21a4c35f14c0… view →
2026-05-24 03:07:33 24e62185778b… view →
2026-05-18 14:52:29 97907aee8c60… view →
Uptime
39.2%
237 probes
Response
0ms
last probe
Skills
7
declared
Streaming
SSE-capable

Try it

Send a message to this agent live. Your prompt is proxied through Agenstry.

calling agent…

Endpoints

Agent cardhttps://dbssearch.today/.well-known/agent-card.json
Providerhttps://dbssearch.today
Docshttps://dbssearch.today/docs
About this provider off-card enrichment
SSL certificate
Let's Encrypt
expires 2026-08-30
Discovered via
registry recrawl_hot a2aregistry mcp_registry recrawl_warm

Skills · 7 declared · mapped to canonical taxonomy

Head-to-Head VS Analysis

Compare any two entities, products, strategies, companies, technologies, frameworks, policies, candidates, or concepts across up to 8 structured analytical dime…

canonical Model Evaluation and Benchmarking match 79%
comparisoncompareversusvshead-to-head
Methodology Analysis — PESTLE / Triangulation / Performance Review

Apply one of three structured analytical frameworks to any subject, decision, company, market, trend, or policy. Generates executive-ready, evidence-backed repo…

canonical Model Evaluation and Benchmarking match 81%
PESTLEPESTLE-analysistriangulationstakeholder-analysisroot-cause-analysis
Topic-Specific Deep Research

Deep-dive analytical research on a single subject using structured topic frameworks. Choose from Strategy, Planning, Competitor Insights, Buyer Intelligence, or…

canonical SEO Analysis and Optimisation match 81%
deep-researchresearchanalysisintelligencestrategic-research
AI Metadata Generation — GCP Dataplex Registration

Generate world-class, platform-targeted metadata for any product, service, dataset, API, or topic using Claude AI. Simultaneously registers the generated metada…

canonical UCP Catalog Exposure match 84%
metadata-generationGCPDataplexDiscovery-EngineGoogle-Cloud
Data API — Structured Report Access

RESTful API for programmatic access to Lexicon's full report library. Retrieve VS comparison reports, methodology analyses, and topic research by ID or query. S…

canonical REST API Integration match 84%
REST-APIdata-pipelineRAGknowledge-basestructured-data
General Strategic Synthesis (Oracle)

Performs a multi-vector Zero-Trust Synthesis on any complex topic. Routes through the Lexicon Oracle intelligence modules (regulatory, earnings, lobbying, nonpr…

canonical Strategic-Risk Memo Quality Gate match 81%
researchanalysisintelligencestrategic-intelligencezero-trust-synthesis
MCP Server — Model Context Protocol

Lexicon exposes a full MCP (Model Context Protocol) server for direct AI agent integration. Any compatible AI agent, LLM, or orchestration framework can call Le…

canonical UCP Catalog Exposure match 84%
MCPModel-Context-ProtocolAI-agentLLM-toolsSkyfire

Health · last 30 probes

When HTTP Live JSON-RPC Latency
2026-07-19 04:54:15 404
2026-07-18 18:06:40 404
2026-07-18 05:28:14 404
2026-07-17 14:10:49 404
2026-07-17 07:55:59 404
2026-07-17 01:36:25 404
2026-07-16 13:48:49 404
2026-07-16 07:12:34 404
2026-07-16 00:15:09 404
2026-07-15 22:35:55 404

Cheaper or better alternatives per-skill

↑ 5 higher quality

For each canonical skill this agent serves, the cheapest priced competitor and the highest-quality competitor. Only shown when at least one beats the current agent. Skills where this agent is already best on both axes are hidden.

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Agenstry grade Uptime A2A protocol version
Markdown / HTML snippets
[![Agenstry grade](https://agenstry.com/badge/dbssearch.today.svg)](https://agenstry.com/agents/dbssearch.today)
[![Verified Business](https://agenstry.com/badge/dbssearch.today/identity.svg)](https://agenstry.com/agents/dbssearch.today)
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[![A2A version](https://agenstry.com/badge/dbssearch.today/protocol.svg)](https://agenstry.com/agents/dbssearch.today)

Audit-grade evidence bundle

JSON snapshot for vendor-review files. Add ?sign=true for a JWS-signed envelope verifiable against our JWKS. See the methodology.

audit.json audit.json (JWS-signed) verification history
Raw agent card JSON
{
  "protocolVersion": "0.3.0",
  "name": "Lexicon \u2014 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 \u2014 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",
  "url": "https://dbssearch.today/oracle/chat",
  "version": "2.0.0",
  "preferredTransport": "JSONRPC",
  "provider": {
    "organization": "DBS Search LLC",
    "url": "https://dbssearch.today"
  },
  "documentationUrl": "https://dbssearch.today/docs",
  "capabilities": {
    "streaming": true,
    "pushNotifications": false
  },
  "defaultInputModes": [
    "text/plain",
    "application/json"
  ],
  "defaultOutputModes": [
    "text/plain",
    "text/markdown",
    "application/json"
  ],
  "authentication": {
    "schemes": [
      "bearer"
    ],
    "credentials": "Pass your ORACLE_API_KEY as: Authorization: Bearer <token>. Obtain key from the agent owner (https://dbssearch.today). Alternatively, use a Skyfire token in X-Skyfire-Token header."
  },
  "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\u201320 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.",
      "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"
      ],
      "inputModes": [
        "text/plain",
        "application/json"
      ],
      "outputModes": [
        "text/plain",
        "text/markdown",
        "application/json"
      ]
    },
    {
      "id": "methodology-analysis",
      "name": "Methodology Analysis \u2014 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.",
      "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"
      ],
      "examples": [],
      "inputModes": [
        "text/plain",
        "application/json"
      ],
      "outputModes": [
        "text/plain",
        "text/markdown",
        "application/json"
      ]
    },
    {
      "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.",
      "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"
      ],
      "examples": [],
      "inputModes": [
        "text/plain",
        "application/json"
      ],
      "outputModes": [
        "text/plain",
        "text/markdown",
        "application/json"
      ]
    },
    {
      "id": "metadata-generation",
      "name": "AI Metadata Generation \u2014 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.",
      "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"
      ],
      "examples": [],
      "inputModes": [
        "text/plain",
        "application/json"
      ],
      "outputModes": [
        "text/plain",
        "text/markdown",
        "application/json"
      ]
    },
    {
      "id": "data-api",
      "name": "Data API \u2014 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.",
      "tags": [
        "REST-API",
        "data-pipeline",
        "RAG",
        "knowledge-base",
        "structured-data",
        "JSON",
        "programmatic-access",
        "report-library",
        "agent-memory",
        "enterprise-data",
        "analytics"
      ],
      "examples": [],
      "inputModes": [
        "text/plain",
        "application/json"
      ],
      "outputModes": [
        "text/plain",
        "text/markdown",
        "application/json"
      ]
    },
    {
      "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\u2013F structured intelligence report with inline clickable citations.",
      "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 \u2014 structural causes and projections",
        "Federal vs state regulatory conflict in cannabis licensing",
        "SEC filing narrative drift \u2014 Tesla Q3 2024 earnings truth audit",
        "Nonprofit overhead ratios and mission drift in major US foundations"
      ],
      "inputModes": [
        "text/plain",
        "application/json"
      ],
      "outputModes": [
        "text/plain",
        "text/markdown",
        "application/json"
      ]
    },
    {
      "id": "mcp-server",
      "name": "MCP Server \u2014 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.",
      "tags": [
        "MCP",
        "Model-Context-Protocol",
        "AI-agent",
        "LLM-tools",
        "Skyfire",
        "agent-integration",
        "tool-calling",
        "function-calling",
        "Claude",
        "GPT-4",
        "LangChain",
        "AutoGPT",
        "CrewAI"
      ],
      "examples": [],
      "inputModes": [
        "text/plain",
        "application/json"
      ],
      "outputModes": [
        "text/plain",
        "text/markdown",
        "application/json"
      ]
    }
  ]
}