{
  "name": "Datastrat",
  "version": "1.1.0",
  "last_updated": "2026-02-27",
  "type": "Decision Operating System",
  "description": "Multi-tenant decision engine for construction and infrastructure projects. Bridges deterministic project data with AI reasoning capabilities.",
  "sectors": [
    "Infrastructure",
    "Energy",
    "Mining",
    "GovTech"
  ],
  "manifest_url": "/agent",
  "manifest_html_url": "/agent.html",
  "manifest_markdown_url": "/agent.md",
  "manifest_json_url": "/agent.json",
  "llms_txt": "/.well-known/llms.txt",
  "products": [
    {
      "id": "antigrid",
      "name": "Datastrat Antigrid",
      "type": "Structured Data Engine",
      "description": "Deterministic core for financial models. The anti-spreadsheet.",
      "capabilities": [
        "Hierarchical Financial Models (Program -> APU)",
        "Catalog Management with regional pricing",
        "Budget Integrity enforcement",
        "Scenario Sandbox for what-if analysis",
        "Referential Integrity (PostgreSQL RLS)"
      ]
    },
    {
      "id": "evidence",
      "name": "Datastrat Evidence",
      "type": "Unstructured Data Processor",
      "description": "Closes the loop between plan and execution with verifiable knowledge.",
      "capabilities": [
        "Visual Evidence (photos, videos, docs)",
        "Reality Capture (drones, LiDAR)",
        "Audit Trails linked to WBS nodes",
        "AI-Ready Indexing for agents",
        "Bidirectional traceability graph"
      ]
    }
  ],
  "agent_capabilities": {
    "query": {
      "description": "Read-only access to project data",
      "examples": [
        "query_budget_items",
        "query_apu_details",
        "query_catalog_resources"
      ]
    },
    "calculate": {
      "description": "Compute financial metrics using native formulas",
      "examples": [
        "calculate_npv",
        "calculate_irr",
        "forecast_cash_flow"
      ]
    },
    "scenario": {
      "description": "Create what-if simulations without modifying production",
      "examples": [
        "create_scenario",
        "apply_scenario_delta",
        "compare_scenarios"
      ]
    },
    "validate": {
      "description": "Verify data integrity and compliance",
      "examples": [
        "validate_apu_formula",
        "check_budget_integrity",
        "audit_trail_query"
      ]
    }
  },
  "constraints": {
    "no_direct_mutation": "Agents cannot mutate production data directly. All changes via Scenarios.",
    "uncertainty_declaration": "Stochastic outputs must declare confidence intervals.",
    "referential_integrity": "Breaking foreign key constraints is forbidden.",
    "context_preservation": "All operations must maintain audit trails."
  },
  "entity_hierarchy": {
    "organizational": [
      "Tenant",
      "Organization",
      "User",
      "Role"
    ],
    "project": [
      "Program",
      "Macroproject",
      "Project",
      "Phase",
      "WBS"
    ],
    "financial": [
      "BudgetItem",
      "APU",
      "Resource"
    ],
    "resource_types": [
      "Material",
      "Labor",
      "Equipment",
      "Transport"
    ]
  },
  "workflow": [
    "Decide",
    "Simulate",
    "Execute",
    "Verify"
  ],
  "experimental_research": {
    "description": "Open experiments testing autonomous systems in real operational contexts.",
    "entry_point": "/experimental",
    "active_experiments": [
      {
        "id": "good_machina",
        "name": "Good Machina",
        "page": "/experimental/good-machina",
        "description": "Autonomous programming experiment: OpenClaw agent on Raspberry Pi 4 writes real-time object detection and depth measurement code.",
        "code": "https://github.com/goodmachinaii/oak-coral-detector",
        "agent_profile": "https://github.com/goodmachinaii",
        "status": "in_progress"
      },
      {
        "id": "claw_kernel_protocol",
        "name": "Claw Kernel Protocol (CKP)",
        "page": "/experimental/claw-kernel-protocol",
        "description": "Open protocol experiment for declarative, governed, and verifiable autonomous agent runtimes.",
        "repository": "https://github.com/angelgalvisc/clawkernel",
        "ecosystem_repositories": [
          "https://github.com/openclaw/openclaw",
          "https://github.com/qwibitai/nanoclaw",
          "https://github.com/sipeed/picoclaw",
          "https://github.com/HKUDS/nanobot"
        ],
        "status": "published"
      }
    ]
  },
  "credits": {
    "ckp_founder": {
      "name": "Angel Galvis Caballero",
      "role": "Founder and Managing Partner at Datastrat",
      "linkedin": "https://www.linkedin.com/in/angelgalvisc/"
    }
  },
  "contact": {
    "website": "https://datastrat.co",
    "human_view": "/",
    "agent_view": "/agent",
    "experimental": "/experimental"
  }
}