For developers building GTM agents, Clearskies is a context layer that unifies CRM, calls, email, calendar, and Slack into a single context graph, resolving identities and mapping relationships so agents run revenue analysis with full business context.
Presence & Market Position
#81 of 113
GTM Developer Tools
Measures earned, engagement-weighted share of voice across the GTM voices panel. Methodology →
Clearskies positions itself as infrastructure: a context layer unifying CRM, calls, email, calendar, and Slack into a single graph so revenue AI agents can run analysis with full business context, framing this as work most revenue teams cannot replicate on their own engineering budget. The company is early in the GTM conversation, having just launched. Its visibility so far comes mostly through recurring placement alongside a small set of other AI-native revenue-tooling vendors in category roundups, plus initial coverage introducing the context-layer framing itself. Beyond the launch window, the broader practitioner conversation is still early.
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Business Profile
Clearskies is built by the team behind Scratchpad, a revenue workflow platform, and carries that operator lineage into a context-layer product aimed at engineers and revenue teams building AI workflows rather than end users clicking through a UI. The company doesn't publish funding or headcount, and its public customer evidence is early, with a testimonial from Stratus describing how the company stitched CRM, call, and communication data together into one build. Pricing is usage-based, tied to workflow volume rather than per-seat licensing, positioning it as infrastructure teams build on top of rather than a seat-priced application.
Agent Readiness
Measures how easily your agents can build on it — API, MCP, CLI, SDK, docs depth. Methodology →
Clearskies ships as an API and an MCP server, positioned so any AI tool, in-house build or established assistant, can read a maintained context graph instead of pulling raw CRM, call, and calendar data separately. Its documentation frames the product for teams building agent workflows directly, offering to get a working integration running in hours rather than months, though the build-out beyond the current API and MCP surfaces isn't detailed on the public record yet.
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