FiscalNote Holdings announced the launch of its PolicyNote Model Context Protocol (MCP) in the OpenAI App Store on March 25, 2026, making structured legislative and regulatory intelligence available directly within ChatGPT‑powered workflows and custom GPTs. The move positions the company at the intersection of policy intelligence and generative AI, a rapidly expanding space as businesses seek to embed regulatory compliance into their day‑to‑day operations.
The PolicyNote MCP is a data‑delivery layer that allows AI models to query structured policy data in real time. By listing the MCP in the OpenAI App Store, FiscalNote removes the need for developers, analysts, and policy professionals to build custom integrations, thereby accelerating adoption of its AI‑driven platform across a broader customer base.
FiscalNote’s Q4 2025 results provide context for the launch. The company reported revenue of $22.2 million, down from $23.01 million expected by analysts, and an earnings per share of –$1.45 versus a consensus of –$0.06. The miss was driven by a combination of lower subscription revenue growth and higher operating costs associated with scaling the new AI platform, while the company maintained a positive adjusted EBITDA of $2.5 million for the quarter, the tenth consecutive positive quarter.
Management emphasized the strategic importance of the launch. CEO Josh Resnik said, "As AI agents become an increasingly important interface for how organizations operate and make decisions, the opportunity is expanding for trusted intelligence to be embedded directly into those workflows." CFO Jon Slabaugh added, "Adjusted EBITDA for the fourth quarter was $2.5 million, exceeding our recent guidance of approximately $2 million and representing the tenth consecutive positive quarter for this important metric."
The announcement was well received by investors, reflecting confidence in FiscalNote’s ability to leverage AI to drive growth and capture a share of the AI‑enabled policy‑tech segment. The launch aligns with the company’s broader turnaround strategy, which includes divestiture of non‑core assets, cost reductions, and a focus on product innovation to achieve positive free cash flow by the end of Q1 2027.
The new distribution channel is expected to broaden FiscalNote’s customer base and create scalable, consumption‑based revenue opportunities. However, the company continues to face headwinds from a recent earnings miss and ongoing competitive pressure in the policy‑intelligence market. The launch signals a strategic pivot toward embedding policy data into generative AI workflows, positioning FiscalNote for long‑term growth while it navigates current financial challenges.
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