{
  "system": "AKI Agentic Web Intelligence Engine™ (AWI-1.0)",
  "version": "1.0.0",
  "protocol": "Zero-Incentive-Protocol (ZIP-1.0)",
  "as_of": "2026-10-01T00:00:00Z",
  "canonical_url": "https://aki1k.com/agentic-web",
  "composite_score": 80.7,
  "layers": [
    {
      "layerId": "L1",
      "name": "Connectivity & Ingestion",
      "measurementFocus": "HTTP/3, Edge Anycast, C2PA Provenance & Raw Ingestion Rates",
      "currentIntensity": 88.4,
      "growthRateYoy": 42.1,
      "evidenceNodesCount": 1420,
      "topSearchTerms": [
        "http3 adoption",
        "edge anycast routing",
        "c2pa provenance cryptographic",
        "ingress throughput"
      ],
      "status": "ACTIVE",
      "protocolStack": "HTTP/3 (QUIC) • TLS 1.3 0-RTT • Cloudflare Anycast BGP",
      "empiricalAnchor": "Edge Anycast Mesh serving 240+ global PoPs under 15ms TTFB"
    },
    {
      "layerId": "L2",
      "name": "Semantic Structuring",
      "measurementFocus": "JSON-LD, Microdata, OpenGraph & Deep Entity Graphs",
      "currentIntensity": 92.1,
      "growthRateYoy": 56.4,
      "evidenceNodesCount": 2180,
      "topSearchTerms": [
        "schema.org dataset",
        "json-ld entity extraction",
        "opengraph bot tags",
        "structured web telemetry"
      ],
      "status": "ACTIVE",
      "protocolStack": "Schema.org ItemList / TechArticle • W3C RDFa • JSON-LD 1.1",
      "empiricalAnchor": "99.1% structured data density across primary canonical entities"
    },
    {
      "layerId": "L3",
      "name": "Machine Content Negotiation",
      "measurementFocus": "llms.txt, Route 2 Markdown, DOM Token Savings & Clean Text Streams",
      "currentIntensity": 96.8,
      "growthRateYoy": 148.5,
      "evidenceNodesCount": 3420,
      "topSearchTerms": [
        "llms.txt standard",
        "markdown content negotiation",
        "dom token reduction",
        "llm-friendly html"
      ],
      "status": "ACTIVE",
      "protocolStack": "RFC 9110 Content Negotiation • Markdown / text/x-markdown • llms.txt standard",
      "empiricalAnchor": "74.5% average token reduction vs bloated client SPA DOMs"
    },
    {
      "layerId": "L4",
      "name": "Protocol Discovery & Agent Cards",
      "measurementFocus": "A2A v1.0, /.well-known/agent-card.json & Agentic Registry Discovery",
      "currentIntensity": 84.2,
      "growthRateYoy": 312,
      "evidenceNodesCount": 1850,
      "topSearchTerms": [
        "agent-to-agent protocol",
        "agent card discovery",
        "well-known manifest",
        "autonomous identity"
      ],
      "status": "ACTIVE",
      "protocolStack": "A2A Protocol v1.0 • /.well-known/agent-card.json • DID / W3C Verifiable Credentials",
      "empiricalAnchor": "Self-describing agent capability cards with cryptographic provenance"
    },
    {
      "layerId": "L5",
      "name": "Action Execution & Tooling",
      "measurementFocus": "WebMCP, Model Context Protocol, OpenAPI 3.1 & Tool Invocations",
      "currentIntensity": 94.5,
      "growthRateYoy": 482,
      "evidenceNodesCount": 4120,
      "topSearchTerms": [
        "model context protocol",
        "webmcp tool invocation",
        "openapi 3.1 agent execution",
        "agentic apis"
      ],
      "status": "ACTIVE",
      "protocolStack": "Anthropic Model Context Protocol (MCP 2024-11-05) • OpenAPI 3.1 • JSON-RPC 2.0",
      "empiricalAnchor": "97.2M monthly MCP SDK downloads across 10,000+ enterprise servers"
    },
    {
      "layerId": "L6",
      "name": "Economic Settlement & Autonomy",
      "measurementFocus": "HTTP 402, Base L2 USDC Micropayments & Smart Resource Routing",
      "currentIntensity": 78.6,
      "growthRateYoy": 620,
      "evidenceNodesCount": 980,
      "topSearchTerms": [
        "http 402 payment required",
        "base l2 usdc micro-metering",
        "coinbase agentic settlement",
        "autonomous licensing"
      ],
      "status": "ACTIVE",
      "protocolStack": "HTTP 402 Payment Required • Base L2 USDC (Coinbase) • Smart Token Metering",
      "empiricalAnchor": "$50.2M autonomous transaction volume across 480k unique agent wallets"
    }
  ],
  "indexes": [
    {
      "indexId": 1,
      "ticker": "ACT",
      "name": "Agentic Activity Index™",
      "currentValue": 84.6,
      "direction": "up",
      "deltaPercentage": 14.2,
      "weightAllocation": 0.15,
      "kpiFocus": "Multi-Source Machine Interaction Velocity & RPS",
      "evidenceHash": "0x9a8f44bc1122aaff99887766554433221100",
      "calculationId": "CALC_AWI_ACT_20261001",
      "methodologyVersion": "AWI-1.0",
      "whySummary": "Aggregate volume of autonomous agent requests scaling across cloud origin servers globally.",
      "sparkline": [
        74.2,
        76.5,
        78.9,
        81.2,
        82.8,
        84.6
      ]
    },
    {
      "indexId": 2,
      "ticker": "BEH",
      "name": "Agentic Behaviour Index™",
      "currentValue": 78.4,
      "direction": "up",
      "deltaPercentage": 9.8,
      "weightAllocation": 0.15,
      "kpiFocus": "URL Traversal Depth, DOM Extraction & Stale Retries",
      "evidenceHash": "0x88c211da4455bbcc11223344556677889900",
      "calculationId": "CALC_AWI_BEH_20261001",
      "methodologyVersion": "AWI-1.0",
      "whySummary": "Behavioral fingerprinting measuring recursive link traversal and targeted DOM parsing efficiency.",
      "sparkline": [
        71.4,
        72.8,
        74.5,
        76,
        77.2,
        78.4
      ]
    },
    {
      "indexId": 3,
      "ticker": "QRY",
      "name": "Machine Query & Grounding™",
      "currentValue": 69.2,
      "direction": "up",
      "deltaPercentage": 18.4,
      "weightAllocation": 0.1,
      "kpiFocus": "Live Search Synthesis, RAG Grounding & Citation Rate",
      "evidenceHash": "0x77b355ee2233aabbccddeeff001122334455",
      "calculationId": "CALC_AWI_QRY_20261001",
      "methodologyVersion": "AWI-1.0",
      "whySummary": "Proportion of agent prompts triggering live edge retrieval rather than relying on frozen model weights.",
      "sparkline": [
        58.4,
        60.9,
        63.2,
        65.8,
        67.5,
        69.2
      ]
    },
    {
      "indexId": 4,
      "ticker": "DSC",
      "name": "Agentic Discovery Index™",
      "currentValue": 88.5,
      "direction": "up",
      "deltaPercentage": 24.1,
      "weightAllocation": 0.12,
      "kpiFocus": "Agent Card Ingestion, Sitemap Manifests & llms.txt Depth",
      "evidenceHash": "0x66a488aa3344bbccddeeff00112233445566",
      "calculationId": "CALC_AWI_DSC_20261001",
      "methodologyVersion": "AWI-1.0",
      "whySummary": "Velocity at which autonomous crawlers ingest standardized machine manifests and A2A discovery cards.",
      "sparkline": [
        71.2,
        74.8,
        78.5,
        82,
        85.6,
        88.5
      ]
    },
    {
      "indexId": 5,
      "ticker": "A2A",
      "name": "Agent-to-Agent Protocol Index™",
      "currentValue": 72.8,
      "direction": "up",
      "deltaPercentage": 36.5,
      "weightAllocation": 0.1,
      "kpiFocus": "A2A v1.0 Cross-Swarm Coordination & Identity Exchange",
      "evidenceHash": "0x55d599ff4455ccddeeff0011223344556677",
      "calculationId": "CALC_AWI_A2A_20261001",
      "methodologyVersion": "AWI-1.0",
      "whySummary": "Direct agent-to-agent negotiations bypassing traditional human-centric web interfaces.",
      "sparkline": [
        53.2,
        57,
        61.8,
        66.2,
        69.5,
        72.8
      ]
    },
    {
      "indexId": 6,
      "ticker": "PRF",
      "name": "Agentic Performance & Latency™",
      "currentValue": 91.2,
      "direction": "up",
      "deltaPercentage": 4.8,
      "weightAllocation": 0.13,
      "kpiFocus": "Task Success Rate, p95 Execution Latency & Zero Dropouts",
      "evidenceHash": "0x44e633cc5566ddeeff001122334455667788",
      "calculationId": "CALC_AWI_PRF_20261001",
      "methodologyVersion": "AWI-1.0",
      "whySummary": "Mathematical task success rate factored against exponential latency decay for slow API backends.",
      "sparkline": [
        87,
        88.1,
        89.2,
        90,
        90.8,
        91.2
      ]
    },
    {
      "indexId": 7,
      "ticker": "CMR",
      "name": "Agentic Commerce & Settlement™",
      "currentValue": 64.9,
      "direction": "up",
      "deltaPercentage": 48.2,
      "weightAllocation": 0.12,
      "kpiFocus": "Autonomous Checkout, x402 Micropayments & Base L2 Volume",
      "evidenceHash": "0x33f722bb6677eeff00112233445566778899",
      "calculationId": "CALC_AWI_CMR_20261001",
      "methodologyVersion": "AWI-1.0",
      "whySummary": "Adoption rate of autonomous checkout rails and machine-to-machine micro-settlement contracts.",
      "sparkline": [
        43.8,
        48.2,
        53,
        57.5,
        61.4,
        64.9
      ]
    },
    {
      "indexId": 8,
      "ticker": "RDN",
      "name": "Agentic Web Readiness Index™",
      "currentValue": 96.4,
      "direction": "up",
      "deltaPercentage": 12.6,
      "weightAllocation": 0.08,
      "kpiFocus": "Structured Data Density, Tool Exits & Machine Friendliness",
      "evidenceHash": "0x22a811aa7788ff00112233445566778899aa",
      "calculationId": "CALC_AWI_RDN_20261001",
      "methodologyVersion": "AWI-1.0",
      "whySummary": "Composite compliance score evaluating origin capability to serve LLM agents with zero friction.",
      "sparkline": [
        85.6,
        88,
        90.4,
        92.8,
        94.6,
        96.4
      ]
    },
    {
      "indexId": 9,
      "ticker": "MCP",
      "name": "Browser & WebMCP Surface Index™",
      "currentValue": 82.1,
      "direction": "up",
      "deltaPercentage": 54,
      "weightAllocation": 0.05,
      "kpiFocus": "Model Context Protocol Endpoints & Web Tooling Support",
      "evidenceHash": "0x11b900ff889900112233445566778899aabb",
      "calculationId": "CALC_AWI_MCP_20261001",
      "methodologyVersion": "AWI-1.0",
      "whySummary": "Density of enterprise websites exposing native MCP servers and tools to frontier AI assistants.",
      "sparkline": [
        53.3,
        59.8,
        66.4,
        72,
        77.5,
        82.1
      ]
    }
  ],
  "lifecycle_stages": [
    {
      "stageId": 0,
      "stageCode": "STAGE_00",
      "stageName": "Authenticate",
      "intentDescription": "Agent identity handshake & cryptographic mTLS token exchange",
      "exampleBehavior": "Agent submits ECDSA signature or Turnstile bypass token in HTTP header",
      "primaryMetric": "Handshake Latency",
      "benchmarkValue": 24.5,
      "unit": "ms",
      "riskTier": "LOW"
    },
    {
      "stageId": 1,
      "stageCode": "STAGE_01",
      "stageName": "Discover",
      "intentDescription": "Origin discovery via /.well-known/agent-card.json & sitemaps",
      "exampleBehavior": "Crawler pulls machine discovery card and taxonomy manifests",
      "primaryMetric": "Discovery Completeness",
      "benchmarkValue": 98.4,
      "unit": "%",
      "riskTier": "LOW"
    },
    {
      "stageId": 2,
      "stageCode": "STAGE_02",
      "stageName": "Negotiate",
      "intentDescription": "Content negotiation for text/markdown or application/json",
      "exampleBehavior": "Client agent issues Accept: text/markdown to bypass client SPA hydration",
      "primaryMetric": "Token Savings Ratio",
      "benchmarkValue": 74.5,
      "unit": "%",
      "riskTier": "LOW"
    },
    {
      "stageId": 3,
      "stageCode": "STAGE_03",
      "stageName": "Traverse",
      "intentDescription": "Autonomous traversal of links and entity relationships",
      "exampleBehavior": "Bot navigates nested canonical taxonomies with deterministic rate cap",
      "primaryMetric": "Traversal Efficiency",
      "benchmarkValue": 185,
      "unit": "urls/s",
      "riskTier": "MEDIUM"
    },
    {
      "stageId": 4,
      "stageCode": "STAGE_04",
      "stageName": "Parse & Ground",
      "intentDescription": "Extraction of semantic JSON-LD graph nodes into context",
      "exampleBehavior": "Agent maps Schema.org ItemList directly into its working memory",
      "primaryMetric": "Entity Extraction F1 Score",
      "benchmarkValue": 0.94,
      "unit": "F1",
      "riskTier": "LOW"
    },
    {
      "stageId": 5,
      "stageCode": "STAGE_05",
      "stageName": "Verify Provenance",
      "intentDescription": "Verification of C2PA manifest and cryptographic citation hashes",
      "exampleBehavior": "Agent audits SHA-256 hash against public R2 immutable ledger",
      "primaryMetric": "Provenance Confidence",
      "benchmarkValue": 99.2,
      "unit": "%",
      "riskTier": "LOW"
    },
    {
      "stageId": 6,
      "stageCode": "STAGE_06",
      "stageName": "Tool Invocation",
      "intentDescription": "WebMCP function calling or REST API execution",
      "exampleBehavior": "Agent calls get_agentic_pulse or inspect_passport via JSON-RPC",
      "primaryMetric": "Tool Invocation Success Rate",
      "benchmarkValue": 98.6,
      "unit": "%",
      "riskTier": "MEDIUM"
    },
    {
      "stageId": 7,
      "stageCode": "STAGE_07",
      "stageName": "Plan & Reason",
      "intentDescription": "Internal multi-step trajectory evaluation and validation",
      "exampleBehavior": "Agent plans subagent tree and checks constraints before committing actions",
      "primaryMetric": "Task Planning Precision",
      "benchmarkValue": 92.4,
      "unit": "%",
      "riskTier": "LOW"
    },
    {
      "stageId": 8,
      "stageCode": "STAGE_08",
      "stageName": "Transact",
      "intentDescription": "Autonomous procurement, reservation or parameter checkout",
      "exampleBehavior": "Agent submits structured order envelope with signed customer intent",
      "primaryMetric": "Cart Intent Conversion",
      "benchmarkValue": 54,
      "unit": "%",
      "riskTier": "HIGH"
    },
    {
      "stageId": 9,
      "stageCode": "STAGE_09",
      "stageName": "Settle (x402)",
      "intentDescription": "Cryptographic micropayment on Base L2 USDC rail",
      "exampleBehavior": "Agent clears HTTP 402 challenge with signed Base L2 payment header",
      "primaryMetric": "Settlement Finality",
      "benchmarkValue": 1.8,
      "unit": "s",
      "riskTier": "HIGH"
    },
    {
      "stageId": 10,
      "stageCode": "STAGE_10",
      "stageName": "Feedback & Loop",
      "intentDescription": "Returning completion telemetry and execution feedback",
      "exampleBehavior": "Agent logs execution latency, token burn, and outcome status to origin",
      "primaryMetric": "Feedback Loop Latency",
      "benchmarkValue": 45,
      "unit": "ms",
      "riskTier": "LOW"
    },
    {
      "stageId": 11,
      "stageCode": "STAGE_11",
      "stageName": "Cache Invalidate",
      "intentDescription": "Signaling edge KV stale-while-revalidate invalidation",
      "exampleBehavior": "Agent triggers edge KV purge hook following verified database update",
      "primaryMetric": "Cache Propagation Time",
      "benchmarkValue": 12,
      "unit": "ms",
      "riskTier": "LOW"
    },
    {
      "stageId": 12,
      "stageCode": "STAGE_12",
      "stageName": "Memory Commit",
      "intentDescription": "Storing canonical facts into long-term vector store",
      "exampleBehavior": "Agent commits verified fact vector to long-term memory store",
      "primaryMetric": "Memory Recall Precision",
      "benchmarkValue": 96.8,
      "unit": "%",
      "riskTier": "LOW"
    },
    {
      "stageId": 13,
      "stageCode": "STAGE_13",
      "stageName": "Audit & Attest",
      "intentDescription": "Generating daily Merkle tree audit log and public hash",
      "exampleBehavior": "Origin compiles cryptographic daily root and persists receipt in R2 bucket",
      "primaryMetric": "Audit Attestation Integrity",
      "benchmarkValue": 100,
      "unit": "%",
      "riskTier": "LOW"
    }
  ],
  "watchers": [
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      "watcherId": "watch-robots",
      "name": "robots.txt AI Policy Watcher",
      "targetProtocol": "RFC 9309 Robots Exclusion Protocol",
      "status": "OPTIMAL",
      "observedLatencyMs": 14.2,
      "complianceRate": 99.8,
      "lastCheckedEpoch": 1759276800,
      "primaryStandardUrl": "https://aki1k.com/robots.txt",
      "description": "Tracks autonomous crawler directives, GPTBot/ClaudeBot rules, and zero-spam enforcement."
    },
    {
      "watcherId": "watch-llmstxt",
      "name": "llms.txt Context Stream Watcher",
      "targetProtocol": "llms.txt Standard (AnswerDotAI)",
      "status": "OPTIMAL",
      "observedLatencyMs": 11.5,
      "complianceRate": 100,
      "lastCheckedEpoch": 1759276800,
      "primaryStandardUrl": "https://aki1k.com/llms.txt",
      "description": "Monitors structured LLM markdown manifests and full token-dense context feeds."
    },
    {
      "watcherId": "watch-agentcard",
      "name": "A2A Agent Card Discovery Watcher",
      "targetProtocol": "A2A Protocol v1.0 (.well-known/agent-card.json)",
      "status": "OPTIMAL",
      "observedLatencyMs": 18,
      "complianceRate": 98.4,
      "lastCheckedEpoch": 1759276800,
      "primaryStandardUrl": "https://aki1k.com/.well-known/agent-card.json",
      "description": "Validates origin agent capability manifests, cryptographic endpoints, and contact metadata."
    },
    {
      "watcherId": "watch-webmcp",
      "name": "WebMCP Tool Surface Watcher",
      "targetProtocol": "Model Context Protocol (2024-11-05)",
      "status": "OPTIMAL",
      "observedLatencyMs": 22.4,
      "complianceRate": 97.6,
      "lastCheckedEpoch": 1759276800,
      "primaryStandardUrl": "https://api.aki1k.com/v1/mcp",
      "description": "Monitors SSE and JSON-RPC tool availability, execution reliability, and schema validation."
    },
    {
      "watcherId": "watch-x402",
      "name": "HTTP 402 Base L2 Settlement Watcher",
      "targetProtocol": "x402 Payment-Required Specification",
      "status": "ACTIVE",
      "observedLatencyMs": 28.5,
      "complianceRate": 96.2,
      "lastCheckedEpoch": 1759276800,
      "primaryStandardUrl": "https://api.aki1k.com/api/v1/awi/depth",
      "description": "Tracks micro-settlement challenges, USDC transaction confirmation times, and nonces."
    },
    {
      "watcherId": "watch-c2pa",
      "name": "C2PA Content Provenance Watcher",
      "targetProtocol": "Coalition for Content Provenance and Authenticity (C2PA)",
      "status": "OPTIMAL",
      "observedLatencyMs": 31,
      "complianceRate": 99.1,
      "lastCheckedEpoch": 1759276800,
      "primaryStandardUrl": "https://c2pa.org/specifications",
      "description": "Audits digital media signatures, tamper-evident watermarks, and verification keys."
    },
    {
      "watcherId": "watch-openapi",
      "name": "OpenAPI 3.1 Contract Watcher",
      "targetProtocol": "OpenAPI Specification 3.1.0",
      "status": "OPTIMAL",
      "observedLatencyMs": 15.6,
      "complianceRate": 100,
      "lastCheckedEpoch": 1759276800,
      "primaryStandardUrl": "https://api.aki1k.com/openapi.json",
      "description": "Verifies strict REST API schemas, parameter types, and machine discoverability."
    },
    {
      "watcherId": "watch-sitemap",
      "name": "Tiered XML Sitemap Freshness Watcher",
      "targetProtocol": "Sitemaps.org Protocol 0.9",
      "status": "OPTIMAL",
      "observedLatencyMs": 19.8,
      "complianceRate": 100,
      "lastCheckedEpoch": 1759276800,
      "primaryStandardUrl": "https://aki1k.com/sitemap.xml",
      "description": "Monitors 14,300+ canonical URL freshness dates and multi-search-engine IndexNow pings."
    },
    {
      "watcherId": "watch-content-signal",
      "name": "Content-Signal Header Watcher",
      "targetProtocol": "IETF Machine Attribution Headers",
      "status": "OPTIMAL",
      "observedLatencyMs": 8.4,
      "complianceRate": 100,
      "lastCheckedEpoch": 1759276800,
      "primaryStandardUrl": "https://aki1k.com",
      "description": "Validates presence of Content-Signal: search=yes, ai-train=yes, use=reference."
    },
    {
      "watcherId": "watch-citation-directive",
      "name": "X-Citation-Directive Watcher",
      "targetProtocol": "AEO Academic & AI Citation Standard",
      "status": "OPTIMAL",
      "observedLatencyMs": 9.1,
      "complianceRate": 100,
      "lastCheckedEpoch": 1759276800,
      "primaryStandardUrl": "https://aki1k.com",
      "description": "Ensures copy-ready citations (BibTeX, APA, ISO-690) are emitted across all edge endpoints."
    },
    {
      "watcherId": "watch-ghost-bot",
      "name": "GHOST Lab Automation Fingerprinter",
      "targetProtocol": "AKI Behavioral Fingerprinting Invariant",
      "status": "ACTIVE",
      "observedLatencyMs": 16.2,
      "complianceRate": 98.8,
      "lastCheckedEpoch": 1759276800,
      "primaryStandardUrl": "https://aki1k.com/ghost-detection",
      "description": "Measures automation confidence (0-100) with strict non-attribution protocol."
    },
    {
      "watcherId": "watch-ratelimit",
      "name": "Deterministic Rate Limit Watcher",
      "targetProtocol": "IETF RateLimit Header Field",
      "status": "OPTIMAL",
      "observedLatencyMs": 7.8,
      "complianceRate": 99.4,
      "lastCheckedEpoch": 1759276800,
      "primaryStandardUrl": "https://api.aki1k.com/v1/tools",
      "description": "Maintains 120 req/min baseline caps with burst protection for unauthenticated crawlers."
    },
    {
      "watcherId": "watch-merkle-roots",
      "name": "Daily Merkle Root Ledger Watcher",
      "targetProtocol": "R2 Cryptographic Audit Archive",
      "status": "OPTIMAL",
      "observedLatencyMs": 34.2,
      "complianceRate": 100,
      "lastCheckedEpoch": 1759276800,
      "primaryStandardUrl": "https://aki1k.com/internal/architecture",
      "description": "Monitors immutable daily SHA-256 tree root snapshots and proof archives."
    },
    {
      "watcherId": "watch-distributed-state",
      "name": "Distributed State Mesh Watcher",
      "targetProtocol": "Global Distributed Cache Mesh",
      "status": "OPTIMAL",
      "observedLatencyMs": 6.2,
      "complianceRate": 99.9,
      "lastCheckedEpoch": 1759276800,
      "primaryStandardUrl": "https://api.aki1k.com",
      "description": "Monitors sub-5ms hot cache hits across global edge points of presence."
    }
  ],
  "passports": [
    {
      "passportId": "passport-web-aki1k",
      "entityTarget": "aki1k.com (AKI Edge Platform)",
      "agenticWebReadiness": 96.4,
      "discoverability": 98.2,
      "structuredData": 99.1,
      "llmsTxt": 100,
      "markdownCoverage": 98.5,
      "mcpA2aSurface": 94.5,
      "actionability": 92,
      "agentTrafficShare": 57.4,
      "citationVelocity": 98,
      "a2aDiscovery": 96.2,
      "mcpActivity": 93.8,
      "verificationStatus": "Verified",
      "freshnessScore": 98,
      "evidenceDepth": 94,
      "coverageScore": 97,
      "conflictsCount": 0,
      "knownUnknownsCount": 2,
      "evidenceHash": "0x88f2cc9941a90101bbed0012",
      "merkleRoot": "0x71e3aa4881cc42ef9019aa77",
      "lastVerifiedEpoch": 1759276800,
      "auditUri": "https://aki1k.com/agentic-web",
      "role": "ORIGIN"
    },
    {
      "passportId": "passport-agent-claude",
      "entityTarget": "Claude 3.5 Sonnet (Anthropic)",
      "agenticWebReadiness": 94.8,
      "discoverability": 96.5,
      "structuredData": 95,
      "llmsTxt": 98,
      "markdownCoverage": 99,
      "mcpA2aSurface": 92,
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}