Clearskies alternative for revenue teams

Clearskies gives your AI the full picture. Fluint shows it which plays win.

Both connect your CRM, calls, and email and serve them to Claude over MCP. Fluint keeps going: it rebuilds a year of your deal history, measures what moved each deal at every stage, and serves the next play your own data backs.

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Checklist of six context layer steps: Clearskies partly keeps change history and serves context over MCP, with the other four steps not shown in its public docs; Fluint covers all six.

What's the difference between Clearskies and Fluint?

Both are context layers for your GTM data. Clearskies focuses on giving your AI complete, unified context across your tools. Fluint also learns from how your deals turned out: which behaviors moved each stage, and which plays won.

Does Clearskies import your CRM history?

Not according to its docs. Clearskies records field changes on accounts and deals going forward from the day you turn it on, past changes aren't imported, and a 90-day look-back comes back empty at first. Fluint pulls your full CRM history when you connect and rebuilds the last 365 days as a time series. So you can see any deal exactly as it stood on any date, and from there every change to opps, contact roles, emails, meetings, and calls is kept.

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See the context graph

Timeline at the moment of connecting: Clearskies has no imported history and tracks accounts and deals going forward; Fluint rebuilds 365 days from CRM history and keeps every change after.

Clearskies grades a deal against a rubric with an LLM; Fluint scores predictors like next_step_booked and cfo_attended against the stage minimum.

How does Clearskies score deals compared to Fluint?

Clearskies scores deals by having an LLM grade them against a rubric you write, like MEDDPICC or BANT. Fluint scores them against your own outcomes: it tracks Predictors (your hypotheses about what moves a deal) on every deal at every date, then measures which ones actually raise the odds and the minimum score each stage needs to convert. Clearskies makes a fair point in its principles, that pre-built scoring breaks because your process isn't the average company's, which is exactly why the grading should come from your deals.

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Can Clearskies tell you which sales plays win?

Clearskies gives you a win-loss read on request, written by an LLM from your deal context, which is useful. Its public docs don't show it measuring how much a specific play moved stage conversion. Fluint does: it measures each play's share of impact at every stage, so when your agent calls next_play over MCP, it gets the move your data says will work on this deal, and why.

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See the Context MCP

Clearskies /winloss writes a win/loss narrative; Fluint recommends sending the CFO an exec summary before Evaluation ends, a +12 point stage conversion impact measured on 41 similar deals, served as next_play over the Context MCP.

“Fluint gave us months of AI engineering work with a single integration. Now everything we build is grounded in how we win, with the right context for every agent and seller.”

Quincy Landingham

GTM AI Lead

Comparison Table

Fluint vs Clearskies: complete context, and context that learns

Features

Clearskies

Get started

Connect and serve

Connects CRM, calls, email, and meetings

Matches the same account and person across tools

Serves Claude, ChatGPT, and your agents over MCP

Workflows that act on deals and write back to the CRM

Workflow builder

Proactive agents

History

Imports CRM history when you connect

Recorded going forward only

Full history, 365-day rebuild

Change history covers

Accounts and deals

Opps, contact roles, activities, emails, meetings

Any deal as it stood on any past date

Not shown in public docs

Learning from outcomes

How deals get scored

An LLM grades against your rubric

Predictors scored on every deal at every date

What moves conversion at each stage

Win-loss narrative on request

Measured, with stage minimums

Each play's share of impact

Not shown in public docs

Every stage

Next step ranked by measured impact

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next_play

Pricing

Starting price

$250 in credits, then $0.30 per call or $1,250/mo (up to 10 GTM people)

Free up to 50 reps · Growth $1,200/mo for 10 sellers

Based on Clearskies' public site and docs as of November 2026. See something out of date? Tell us.

FAQ

Common questions about Clearskies and Fluint

Is Fluint a Clearskies alternative, or should I use both?

Both are context layers that serve your AI over MCP, so most teams pick one. Clearskies puts more sources in front of your AI. Fluint learns from how your deals turned out and serves the plays that win. If you need Slack, support, and engineering context today, plus proven plays, running both is reasonable.

How much data does Fluint need?

There's no minimum time on Fluint. It starts from the deal history already in your CRM and rebuilds the last 365 days when you connect. More history makes the Predictors sharper, but you don't wait months to start.

When is Clearskies the better fit?

When your main gap is breadth: your AI needs Slack, Teams, support tickets, and engineering context in one place, and you'd rather write your own scoring rubric. Clearskies has 18 live sources and a strong workflow builder.

How does pricing compare?

Close. Clearskies starts at $1,250/mo for up to 10 GTM people, counting everyone whose activity flows in. Fluint Growth is $1,200/mo for 10 sellers, and the free tier covers up to 50 reps.

Let’s see if there’s a good fit

We’ll look at how other GTM teams are already:

Engaging exec-level buyers

Engaging exec-level buyers with a strong point of view.

Driving 10.4X sales velocity

Driving 10.4X sales velocity with more calm, less chaos.

Confidently forecasting

Confidently forecasting, with deal reviews based on written evidence.

Enabling champions

Enabling champions to multithreaded and sell internally.

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