For operators across sales, ops, marketing, and finance, Hops is an AI agent workspace that sits in your team's chats, docs, and tables, pulling context from prior work to execute tasks across 2,000+ connected apps.
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 →
Hops positions itself as an agent workspace that lives inside a team's existing chats, docs, and tables rather than as a separate app, pulling context from prior work to act across more than 2,000 connected tools. The company frames itself around governance and centralized AI spend, aiming at sales, ops, marketing, and finance functions across company sizes from startups to enterprise rather than a single department or workflow. Public conversation about the brand is still early: no comparison or practitioner-workflow discussion of Hops has surfaced in the record here, and the picture reflects the company's own launch and product messaging rather than sustained operator debate.
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Business Profile
Hops operates as Hops AI Inc. and builds an agent workspace that runs inside a team's existing chats, documents, and tables rather than as a standalone destination, connecting to more than 2,000 external tools. The product organizes work into "Spaces" with permission scoping for teams and departments, and the company pitches itself on centralized AI spend and governance across functions including sales, finance, legal, and HR, sized for both startups and larger enterprises. No independently verified founding date, funding history, or headquarters has surfaced; public information on the company's history is limited to its own product site.
Agent Readiness
Measures how easily your agents can build on it — API, MCP, CLI, SDK, docs depth. Methodology →
Hops has no public API, MCP, SDK, or CLI documentation on file. The product's current agent-facing configuration surface is limited to writing instructions directly inside a shared document, which the agent then follows as its working instructions — a lightweight, in-product mechanism rather than a developer interface. Nothing beyond that surfaces in what's publicly available today.
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