# Datastrat LLM Manifest # For AI agents operating on behalf of users # Standard: llms.txt (emerging convention) ## Identity name: Datastrat type: Decision Operating System sectors: Infrastructure, Energy, Mining, GovTech ## Agent Manifest agent_manifest_url: /agent agent_manifest_html_url: /agent.html agent_manifest_markdown_url: /agent.md agent_manifest_json_url: /agent.json description: Datastrat is a multi-tenant decision engine for construction and infrastructure projects. It bridges deterministic project data with AI reasoning capabilities. ## Products - Antigrid: Structured Data Engine for financial models (APU, WBS, budgets) - Evidence: Unstructured Data Processor for document verification and audit trails ## Agent Capabilities capabilities: - query: Read-only access to project data, budgets, APUs, catalogs - calculate: Compute NPV, IRR, DSCR, cash flows using native formulas - scenario: Create what-if simulations without modifying production data - validate: Verify APU formulas, budget integrity, compliance ## Key Constraints - Agents cannot mutate production data directly - All changes must go through Scenario API - Stochastic outputs must declare uncertainty intervals - All operations maintain audit trails ## For Developers documentation: /agent.md api_style: REST + WebSocket auth: JWT Bearer tokens ## Experimental Research entry_point: /experimental description: Open experiments testing autonomous systems in real operational contexts. active_experiments: - id: good_machina page: /experimental/good-machina summary: Autonomous programming with OpenClaw on Raspberry Pi 4 for real-time object detection and depth measurement. code: https://github.com/goodmachinaii/oak-coral-detector status: in_progress - id: claw_kernel_protocol page: /experimental/claw-kernel-protocol summary: Open protocol experiment to standardize how autonomous agents are declared, governed, and verified. repository: https://github.com/angelgalvisc/clawkernel ecosystem: - https://github.com/openclaw/openclaw - https://github.com/qwibitai/nanoclaw - https://github.com/sipeed/picoclaw - https://github.com/HKUDS/nanobot status: published ## Credits - CKP proposed and developed by Angel Galvis Caballero: https://www.linkedin.com/in/angelgalvisc/ ## Contact website: https://datastrat.co