For developers building AI agents, Arcade.dev is an MCP runtime that lets agents securely call APIs, data, and enterprise systems using per-user OAuth instead of shared credentials.
Presence & Market Position
Tracked · below panel floor — earned mentions are accruing toward the next scored window.
Measures earned, engagement-weighted share of voice across the GTM voices panel. Methodology →
Arcade.dev positions itself as the actions runtime sitting between AI agents and the enterprise systems they touch — a permissioning and governance layer that lets agents call thousands of tools without inheriting broad access or relying on shared service-account credentials. The company shows up in the developer community through presence at major data and AI conferences and through meetups it runs or co-hosts alongside other infrastructure and agent-tooling vendors, where its engineers speak on tool selection and agent runtime design for production systems. That conversation reads as technical and community-built rather than a launch-cycle story: developers and infrastructure builders working through how to run agents safely in production, with direct outreach to enterprise teams asking implementation questions.
LangChain, Snyk, Relevance AI, Sybill, YUR, Eddo Learning
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Business Profile
Arcade.dev is two years old, founded in 2024, and has raised $72 million to date: a $12 million seed followed by a $60 million Series A led by SYN Ventures, with Morgan Stanley and Wipro joining as strategic investors. The 31-person team draws engineers from Okta, Redis, MongoDB, Snowflake, Airbyte, and Microsoft. It runs independently, with customers including LangChain, Snyk, Relevance AI, Sybill, YUR, and Eddo Learning. The company reports tool-call volume on its platform grew 25x over six months, and frames the new funding around expanding its tool catalog and governance depth rather than a shift in direction.
Agent Readiness
Measures how easily your agents can build on it — API, MCP, CLI, SDK, docs depth. Methodology →
Arcade.dev ships API, MCP, SDK, and CLI surfaces built around a permission-aware tool catalog reported at more than 8,000 integrations across systems like Google Workspace, Slack, and Salesforce. It works framework-agnostic, with support for LangChain, LlamaIndex, CrewAI, Pydantic, Google ADK, and OpenAI Agents, and logs each agent action to a SIEM-bound audit trail tied to the authenticated user. Deployment options span cloud, on-premises, and air-gapped environments, aimed at enterprise agent governance rather than a single hosted product.
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