Commodity Price Analyzer is an AI agent that turns complex commodity-linked contracts into a continuously running economic model. Rather than manually pulling prices and applying contract formulas in spreadsheets, the agent fetches live market data, applies encoded business rules, and returns a plain-English interpretation of realized vs. theoretical value across multiple contract structures and counterparties. The agent connects to real-time commodity data and regulatory information sources via MCP tools registered in Airia's gateway. It normalizes prices across different units, frequencies, and index conventions, then runs those figures through deterministic contract logic covering payable structures, floor and ceiling provisions, profit-share triggers, and grade-adjusted valuations. A second AI model synthesizes the computed results into a narrative that explains not just the numbers, but the commercial drivers behind them — why a particular provision has triggered, what a price move means for realized margins, and how sensitive the position is to index changes. Built on Airia's orchestration platform, the system enforces strict tool scoping and audit logging, so every run is traceable back to the exact prices and contract parameters used. The architecture separates concerns cleanly: the language model handles intent parsing and data retrieval, Python handles all arithmetic, and a second model handles interpretation — ensuring calculations are always deterministic and auditable regardless of how the question is phrased. The core insight behind the project is that contracts and data schemas must converge. Making an AI agent reason correctly over commercial terms requires pinning every index reference, grade multiplier, and payable percentage to a specific, consistent identifier all the way from the legal document to the code. Once that mapping exists, the contract effectively becomes a live model rather than a static document.

Built With

  • airia
  • alphavantage
  • defeatbeta
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