FiscalNote Announces Enhancements to PolicyNote API, Expanding Access to Authoritative Policy Intelligence for AI Agents and Enterprises
Enables organizations to embed trusted policy intelligence directly into AI Agents, internal systems, and enterprise workflows — with self-serve access and native support for the Model Context Protocol (MCP)
FiscalNote Holdings, Inc. (NYSE:NOTE), a global leader in AI-driven policy and regulatory intelligence, today announced the expansion of its PolicyNote API, enabling organizations to integrate FiscalNote's trusted policy intelligence directly into their own systems, AI agents, and automated workflows. The expansion includes an MCP server to allow AI agents — including those developed by Anthropic, OpenAI, Google Gemini, and Microsoft — to leverage FiscalNote's unique set of policy data to power limitless new applications. The API, currently being used by enterprises such as Lumen Technologies and ICE Data Services, Inc. (a subsidiary of Intercontinental Exchange), makes FiscalNote's unique policy assets available beyond the PolicyNote platform for organizations that prefer to embed structured policy data into internal workflows, automated decision environments, and AI-driven processes.
As AI agents proliferate across industries, the critical constraint is no longer generating answers — it is ensuring those answers are grounded in authoritative, well-governed data. Enterprises deploying AI agents for compliance monitoring, regulatory risk, and government affairs increasingly require a reliable source of truth that can be consumed programmatically, at scale, and with full traceability. The PolicyNote API is built to meet that requirement.
FiscalNote is extending the PolicyNote API's reach into the AI agent ecosystem through native MCP support. The MCP is an emerging open standard for connecting AI models to external data sources and tools. MCP is rapidly becoming the connective tissue of the agentic AI stack — adopted by leading AI platforms including Anthropic, OpenAI, Google, and Microsoft — giving AI agents using these platforms a standardized way to discover and interact with trusted external data in real time.
With native MCP support, FiscalNote's policy intelligence becomes directly accessible to any MCP-compatible AI agent or platform. Rather than requiring custom integrations, AI systems can discover, query, and consume PolicyNote's legislative, regulatory, and stakeholder data as a first-class tool — no additional middleware or bespoke connectors required. This means that as enterprises deploy AI agents across compliance, risk, government affairs, and strategic planning functions, those agents can draw on FiscalNote's intelligence as naturally as they access any other core enterprise system.
Strategically, MCP positions FiscalNote at the infrastructure layer of the AI ecosystem. As agentic systems become embedded across enterprise workflows, organizations will require dependable, programmatically accessible sources of truth. By aligning early with open agent standards, FiscalNote is establishing PolicyNote not just as a research tool or data feed, but as a foundational intelligence service designed to power the next generation of AI-native enterprise systems.
"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," said Josh Resnik, CEO and President of FiscalNote. "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 PolicyNote API delivers programmatic access to FiscalNote's proprietary legislative, regulatory, and stakeholder intelligence datasets — spanning Congress, all 50 states, and more than 100 countries — through a secure, governed architecture designed specifically for machine consumption. AI agents, automated pipelines, and custom enterprise applications can now query structured policy data, verified analysis, and real-time monitoring signals without relying on any user interface.
To accelerate adoption, FiscalNote is building the PolicyNote API with self-serve access in mind, facilitating the company's move towards product-led growth by enabling developers and enterprise teams to provision API keys, explore documentation, and begin integrating policy intelligence into their environments without requiring a custom onboarding process. This self-serve model is designed to lower the barrier to entry for organizations looking to embed authoritative policy data into their workflows quickly and on their own terms.
As enterprises move from AI experimentation to production deployment, demand for authoritative, governed data will only grow. FiscalNote is built to be that foundation: the intelligence layer that makes responsible AI deployment possible in environments where policy and regulatory decisions carry real consequences.
To learn more about the PolicyNote API, please visit: https://fiscalnote.com/products/policynote-api
About FiscalNote
FiscalNote (NYSE:NOTE), the global leader in AI-driven policy intelligence, delivers its deep expertise in legislative tracking, regulatory analysis, and stakeholder engagement through PolicyNote, its flagship platform. Built to ensure the most complete, real-time view of the policy landscape, PolicyNote delivers synthesized, expert-driven analysis integrated with AI-powered monitoring, fueled by the trusted analysis and reporting of CQ and Roll Call, and the grassroots mobilization power of VoterVoice. From the committee room to the board room, FiscalNote's PolicyNote Suite ensures every user has the unmatched clarity and speed needed to understand and impact policy.
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