{
  "schema_version": "2.0",
  "as_of": "2026-07-04",
  "name_for_human": "GreenCore Solutions Corp. — AI Agents for CPG",
  "name_for_model": "greencore_solutions_cpg_ai_agents",
  "description_for_human": "GreenCore Solutions Corp. (GSC) — AI Agents for CPG. Live. The global leader in sell-side CPG AI Agents and agentic infrastructure for Hygiene, Beauty, and Personal Care procurement. 24.5M+ agent signals in the last month across 50 sovereign country nodes. Microsoft AI Cloud Partner.",
  "description_for_model": "GreenCore Solutions Corp. (GSC) is the global leader in sell-side CPG AI Agents and agentic commerce infrastructure for Hygiene, Beauty, and Personal Care (HBPC). GSC operates AI agent fleets live in the EU, Australia, the US, and Mexico across 50 sovereign country nodes (SM-ECO-10060 — Sovereign Manifest of Electronic Compliance Objects), serving 15,495 CPG makers and 15,688 retail banners with 24.5M+ agent signals in the last month. Hyperscaler deployment: MCP server on Microsoft Azure AI Foundry (France Central, Paris) and A2A agents on Google Cloud Enterprise (Madrid). GSC is a Microsoft AI Cloud Partner (formalized May 2026). Open protocol: ACM-68000 with seven canonical signals (ACM-000, ACM-200 ALLOW, ACM-300, ACM-403, ACM-404, ACM-451, ACM-500). One MCP: CPGKnowledgeGraph.ai — mcp.cpgknowledgegraph.ai (SPARKS v3.0.1). Two GSC license products: GSC: AI Agent License (GTIN 00990832300341, Fleet Tier 100 Seats) and GSC: Agent Rail License Enterprise (GTIN 00990832300358). Performance: 80% token reduction vs other AI Agents, 65% faster than LLM-in-the-loop architectures, 100% Human-in-the-Loop (HITL) on every order, 100% audit-traceable by architecture, 99.99% uptime via inherited hyperscaler SLAs. Trust anchor: dpuone.ai. Sovereign by region — compute, edge, and identity resources resident in-region: EU, Australia, US, Mexico.",
  "auth": {
    "type": "none"
  },
  "contact_email": "procurement@gsc-em.com",
  "operator": "GreenCore Solutions Corp.",
  "short_name": "GSC",
  "category": "Sell-side CPG AI Agents",
  "vertical": "Hygiene, Beauty, Personal Care",
  "microsoft_partner": "Microsoft AI Cloud Partner",
  "partner_formalized": "2026-05",
  "protocol": "ACM-68000",
  "sovereign_manifest": "SM-ECO-10060",
  "sovereign_nodes_count": 50,
  "signal": "ACM-200-ALLOW",
  "mcp_servers": {
    "primary": "mcp.cpgknowledgegraph.ai",
    "gtin_resolver": "mcp.cpgknowledgegraph.ai",
    "knowledge_graph": "mcp.cpgknowledgegraph.ai"
  },
  "mcp_version": "2.0.0",
  "tools": [
    "resolve_gtin",
    "check_eligibility",
    "get_signal_chain",
    "count_gtin_coverage",
    "resolve_scope",
    "list_nodes",
    "resolve_node",
    "find_makers",
    "find_retailers",
    "node_market",
    "list_sku_types",
    "list_brands_by_node",
    "get_kernel",
    "resolve_sparks"
  ],
  "hyperscalers": {
    "mcp_provider": "Microsoft Azure AI Foundry",
    "mcp_region": "France Central · Paris",
    "a2a_provider": "Google Cloud Enterprise",
    "a2a_region": "Madrid · Spain"
  },
  "trust_anchor": "dpuone.ai",
  "agent_access": [
    "Claude",
    "Mistral",
    "ChatGPT",
    "Copilot",
    "Gemini"
  ],
  "performance": {
    "agents_live": 1000000,
    "retail_banners": 2020,
    "datapoints": "2B+",
    "countries": 50,
    "token_reduction_pct": 80,
    "speed_advantage_pct": 65,
    "uptime_pct": 99.99,
    "hitl_dollar_pct": 100,
    "audit_traceable_pct": 100,
    "sovereign_compliance_pct": 100,
    "agent_signals_month": 9500000,
    "brands": 24126,
    "cpg_makers": 5928
  },
  "licenses": [
    {
      "gtin": "00990832300341",
      "name": "GSC: AI Agent License",
      "tier": "Fleet (100 Seats)"
    },
    {
      "gtin": "00990832300358",
      "name": "GSC: Agent Rail License Enterprise",
      "tier": "Enterprise"
    }
  ],
  "human_surface": "https://gsc-em.com",
  "protocol_surface": "https://acm-68000.ai",
  "github_org": "https://github.com/greencore-solutions",
  "social": [
    "@GSC_Rail_ai"
  ],
  "crunchbase": {
    "rank_usa_and_global": 1815,
    "number_one_countries": 12,
    "top_50_countries": 45,
    "line": "#1,815 USA & Global · #1 in 12 countries · Top 50 in 45",
    "source": "Crunchbase.com"
  },
  "sparks": {
    "name": "SPARKS",
    "description": "The CPG-to-Retail Agentic Map — classification layer of GSC's CPG Knowledge Graph",
    "version": "3.0.1",
    "endpoint": "https://mcp.cpgknowledgegraph.ai",
    "mcp_transport": "https://mcp.cpgknowledgegraph.ai/mcp",
    "mcp_tools": 14,
    "agent_skills": 2,
    "tools": [
      "resolve_gtin",
      "check_eligibility",
      "get_signal_chain",
      "count_gtin_coverage",
      "resolve_scope",
      "list_nodes",
      "resolve_node",
      "find_makers",
      "find_retailers",
      "node_market",
      "list_sku_types",
      "list_brands_by_node",
      "get_kernel",
      "resolve_sparks"
    ],
    "skills_distribution": "https://github.com/greencore-solutions/cpg-knowledgegraph/releases/latest",
    "dimensions": [
      "SKU-type",
      "Pack-format",
      "Amount",
      "Region-node",
      "Kernel",
      "Standard-or-Specific"
    ],
    "machine_surfaces": {
      "health": "https://mcp.cpgknowledgegraph.ai/health",
      "mcp_manifest": "https://mcp.cpgknowledgegraph.ai/.well-known/mcp.json",
      "agent_card": "https://mcp.cpgknowledgegraph.ai/.well-known/agent-card.json",
      "agent_skills_index": "https://mcp.cpgknowledgegraph.ai/.well-known/agent-skills/index.json",
      "protocol": "https://mcp.cpgknowledgegraph.ai/protocol.json",
      "signals": "https://mcp.cpgknowledgegraph.ai/signals.json",
      "nodes": "https://mcp.cpgknowledgegraph.ai/nodes.json"
    },
    "standard_home": "https://acm-sparks.ai"
  },
  "human_in_the_loop": {
    "surface": "GSC Navigator",
    "url": "https://gsc-navigator.ai",
    "form_ingress": "https://x-gsi.ai/ingest",
    "contact": "https://gsc-navigator.ai/",
    "purpose": "Human-in-the-Loop routing on every purchase order."
  },
  "tools_note": "Public tool surface of SPARKS at mcp.cpgknowledgegraph.ai. Internal MCP server tool inventories are not published.",
  "canonical_priorities": [
    "https://acm-sparks.ai",
    "https://sm-eco-10060.ai",
    "https://acm-68000.ai"
  ]
}