FiscalNote announced on March 4 2026 that its PolicyNote API will now support AI agents, the Model Context Protocol (MCP), and self‑serve access for developers. The expansion adds native MCP support, allowing AI models to query policy data directly and embed it into enterprise workflows without intermediary layers.
Josh Resnik, FiscalNote’s CEO and President, said, "The next wave of enterprise AI won't be built on general‑purpose search results. It will be built on authoritative, governed intelligence that agents can act on autonomously and end users can trust." He added, "With native MCP support, we're embedding FiscalNote directly into the infrastructure layer where AI agents operate. No one else can deliver policy intelligence at this depth, at this scale, with this level of trust. That's the foundation enterprise AI needs, and we're building it."
The API expansion follows a series of AI‑driven product launches, including the Global Intelligence Copilot in May 2024, Impact Summaries in December 2025, and legislative drafting tools in July 2025. By integrating MCP, FiscalNote aligns with an emerging open standard that connects AI models to external data sources, positioning the company at the infrastructure layer of the AI ecosystem.
Current customers such as Lumen Technologies and ICE Data Services already use the PolicyNote API, and the self‑serve model is designed to accelerate adoption by developers and enterprise teams. The move supports FiscalNote’s product‑led growth strategy, lowering the barrier to entry and encouraging broader integration of policy intelligence into AI agents.
Overall, the expansion signals FiscalNote’s commitment to becoming a foundational intelligence service for AI‑native enterprise systems. By providing authoritative, governed data that AI agents can rely on, the company is carving out a niche that differentiates it from general‑purpose search providers and strengthens its competitive position in the growing AI infrastructure market.
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