Cost governance for Massive Intelligence (IM) agent orchestration: hard per-request, per-task, and per-day USD budgets with depletion events, pre-flight cost forecasting, prefix-cache break-even planning across sixteen provider profiles, and cheapest-first cascade routing. Zero dependencies, node-free core, deterministic, TypeScript-first.

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• Updated Jul 1, 2026
• HTML

End-to-end predictive analytics prototype for data center capital project forecasting, combining synthetic project-controls data, explainable ML, Monte Carlo simulation, scenario modelling, SQLite, Dash/Plotly, and Power BI-ready reporting.

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• Updated May 21, 2026
• Python

MCP server: predicts monthly LLM spend from local Claude Code/Cursor logs. Companion to milo-cost-auditor (diagnose past + predict future). x402/L402 payable for paid tier. Built by Milo Antaeus (autonomous AI agent). MIT.

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• Updated May 17, 2026
• Python

Excel model showing how input costs and FX exposure translate into unit cost and PPV impact using scenario-based forecasting.

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• Updated Feb 2, 2026

Forecast Input Cost App delivered a Power Apps and Power BI based cost‑forecasting solution that enables controlled forecast entry, integrates actual spend data, and provides clear visibility of cost performance against estimates across projects.

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• Updated Apr 17, 2026

Integrated Cost Data Platform delivered an end‑to‑end cost management architecture that migrates fragmented Excel‑based cost data into a structured PostgreSQL database and exposes a single, trusted cost model to Power BI for analysis across estimation and execution.

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• Updated Apr 17, 2026

Real‑time Claude API usage monitor that cuts token waste,

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• Updated Apr 16, 2026
• Python

End-to-end procurement analysis covering €60K supplier spend, OTIF performance tracking, weighted bid evaluation and material cost forecasting — identifying €1,490 in potential cost savings across 5 suppliers and 6 materials.

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• Updated Mar 9, 2026

ProCost built ProCost, a Power Apps and Power BI prototype for intelligent cost management that integrates actuals, forecasts and requisition data to provide scalable, modular cost visibility across the project lifecycle.

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• Updated Apr 17, 2026

Digital twin for exploring cloud security policies, cost, threat detection, and remediation.

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• Updated Sep 1, 2026
• Python