{
  "name": "Intelligence Aeternum",
  "description": "Compliance-ready AI training datasets from 7 world museums. 56,500+ artworks with 111-field Golden Codex provenance metadata. AB 2013 + EU AI Act Article 53 compliant. Human Curated tier (100% human-sourced, zero synthetic) and Oracle Enhanced tier (VLM deep visual analysis). The antidote to model collapse and synthetic data degradation.",
  "url": "https://iaeternum.ai",
  "provider": {
    "organization": "Metavolve Labs, Inc.",
    "location": "San Francisco, CA",
    "url": "https://metavolvelabsinc.com",
    "contact": "data@iaeternum.ai",
    "enterprise_contact": "enterprise@iaeternum.ai"
  },
  "version": "2.0.0",
  "capabilities": {
    "streaming": false,
    "pushNotifications": false,
    "x402_payments": true,
    "mcp_server": true,
    "compliance_manifests": true
  },
  "skills": [
    {
      "id": "search_alexandria",
      "name": "Search Alexandria Aeternum",
      "description": "FREE — Search 56,500+ museum artworks by keyword, artist, movement, medium, museum. Returns artifact IDs, titles, artists, dates, classification.",
      "inputModes": ["text"],
      "outputModes": ["data"]
    },
    {
      "id": "get_curated_metadata",
      "name": "Get Human Curated Metadata",
      "description": "FREE (5/day) — Full GCX v1.0.0-curated record (500-1,200 tokens). 100% human-sourced from Museum API + Wikipedia + Wikidata + Getty ULAN. Zero synthetic content.",
      "inputModes": ["text"],
      "outputModes": ["data"]
    },
    {
      "id": "get_oracle_metadata",
      "name": "Get Oracle Enhanced Metadata",
      "description": "PAID ($0.10 USDC via x402) — Full GCX v1.0.0 record (2,000-6,000 tokens). Adds VLM deep visual analysis: composition, color palette, lighting, emotional journey, symbolism, archetypal elements.",
      "inputModes": ["text"],
      "outputModes": ["data"]
    },
    {
      "id": "get_compliance_manifest",
      "name": "Get Compliance Manifest",
      "description": "FREE — Auto-generated AB 2013 (California, 12-field) and EU AI Act Article 53 compliance manifests for any dataset. Ready for regulatory submission.",
      "inputModes": ["text"],
      "outputModes": ["data"]
    },
    {
      "id": "purchase_batch",
      "name": "Batch Download",
      "description": "PAID ($0.05/image via x402, min 100) — Bulk download with 2-hour signed GCS URLs and full Golden Codex metadata.",
      "inputModes": ["text"],
      "outputModes": ["data"]
    },
    {
      "id": "enrich_image",
      "name": "Enrichment-as-a-Service",
      "description": "PAID ($1-5 USDC via x402) — Submit your own images for Golden Codex enrichment. NEST Oracle reading, C2PA signing, hash registration, optional Arweave + NFT.",
      "inputModes": ["text"],
      "outputModes": ["data"]
    }
  ],
  "authentication": {
    "schemes": ["x402", "apiKey", "bearer"],
    "x402_details": {
      "network": "base",
      "currency": "USDC",
      "facilitator": "https://x402.org/facilitator",
      "settlement": "~2 seconds"
    }
  },
  "defaultInputModes": ["text"],
  "defaultOutputModes": ["text", "data"],
  "endpoints": {
    "api_base": "https://data-portal-172867820131.us-west1.run.app",
    "search": "https://data-portal-172867820131.us-west1.run.app/agent/search",
    "curated": "https://data-portal-172867820131.us-west1.run.app/agent/artifact/{artifact_id}",
    "oracle": "https://data-portal-172867820131.us-west1.run.app/agent/artifact/{artifact_id}/oracle",
    "compliance": "https://data-portal-172867820131.us-west1.run.app/agent/compliance/{dataset_id}",
    "catalog": "https://data-portal-172867820131.us-west1.run.app/catalog/datasets",
    "docs": "https://data-portal-172867820131.us-west1.run.app/docs",
    "mcp": "https://data-portal-172867820131.us-west1.run.app/mcp"
  },
  "pricing": {
    "free_tier": [
      {"endpoint": "/agent/search", "cost": "FREE", "limit": "Unlimited"},
      {"endpoint": "/agent/artifact/{id}", "cost": "FREE", "limit": "5/day per IP", "over_quota": "$0.02 USDC"},
      {"endpoint": "/agent/compliance/{id}", "cost": "FREE", "limit": "Unlimited"},
      {"endpoint": "/catalog/datasets", "cost": "FREE", "limit": "Unlimited"},
      {"endpoint": "/catalog/datasets/{id}/preview", "cost": "FREE", "limit": "10/day"}
    ],
    "paid_tier": [
      {"endpoint": "/agent/artifact/{id}/oracle", "cost": "$0.10 USDC", "scheme": "exact"},
      {"endpoint": "/agent/image/{id}", "cost": "$0.10 USDC", "scheme": "exact"},
      {"endpoint": "/agent/batch", "cost": "$0.05/image USDC", "scheme": "exact", "min_quantity": 100}
    ],
    "enterprise": {
      "annual_license": "$150,000/year",
      "includes": ["Synchronized GCS bucket mirror", "Full legal indemnification", "Pre-built Article 53 disclosure templates", "Dedicated support"],
      "contact": "enterprise@iaeternum.ai"
    }
  },
  "compliance": {
    "ab_2013_california": true,
    "eu_ai_act_article_53": true,
    "gdpr_article_6": true,
    "dsm_directive_article_4": true,
    "c2pa_content_credentials": true,
    "vra_core_4": true,
    "schema_org": true,
    "source_license": "CC0 1.0 Public Domain",
    "pii_status": "Zero PII — museum artworks only"
  },
  "datasets": {
    "total_artifacts": 56500,
    "total_museums": 7,
    "museums": [
      "Metropolitan Museum of Art",
      "National Gallery of Art",
      "Art Institute of Chicago",
      "Cleveland Museum of Art",
      "Rijksmuseum",
      "Smithsonian Institution",
      "Paris Elite Collection (Louvre, Orsay, Rodin)"
    ],
    "schema": {
      "name": "Golden Codex",
      "version": "1.0.0-curated",
      "fields_per_artifact": 111,
      "sections": 14
    },
    "tiers": {
      "human_curated": {
        "tokens": "500-1,200",
        "synthetic_content": false,
        "sources": "Museum API + Wikipedia + Wikidata + Getty ULAN"
      },
      "oracle_enhanced": {
        "tokens": "2,000-6,000",
        "synthetic_content": true,
        "synthetic_labeled": true,
        "sources": "All curated sources + Vertex AI VLM deep visual analysis"
      }
    }
  },
  "research": {
    "publications": [
      {"title": "Alexandria Aeternum Dataset", "doi": "10.5281/zenodo.18359131"},
      {"title": "The Density Imperative", "doi": "10.5281/zenodo.18667735"},
      {"title": "Cognitive Nutrition", "doi": "10.5281/zenodo.18667742"},
      {"title": "Perceptual Compute Offloading", "doi": "10.5281/zenodo.18667749"}
    ],
    "key_finding": "Dense 111-field metadata improves VLM visual perception by +25.5%, semantic coverage by +159.6%. Sparse captions destroy model capabilities by -54.0%.",
    "huggingface": "https://huggingface.co/datasets/Metavolve-Labs/alexandria-aeternum-genesis"
  },
  "patents": [
    "U.S. Provisional No. 63/983,304",
    "U.S. Provisional No. 63/984,299",
    "U.S. Provisional No. 63/985,213"
  ],
  "llms_txt": "https://iaeternum.ai/llms-full.txt"
}