COMPARE // XI VS STATSIG

Statsig flags features.
Xi runs marketing experiments.

Statsig is the modern product experimentation platform: feature flags, statistical engines, ML personalization, all wired into your application code. Xi captures the layer above the code: the contract that says what you are testing, what kills it, and when you decide.

Run your first experimentHow Xi works
MCP for your agents · unlimited archive · no card required
THE_BREAKDOWN // dimension by dimension

Where the two tools actually differ.

Dimension
Xi
Statsig
Unit of work
A contract (hypothesis, metric, kill threshold, end date)
A feature flag with a statistical engine evaluating exposure
Where it runs
Outside the codebase, channel-agnostic
Inside the codebase, via SDK calls and flag evaluations
Best surface
Marketing: paid, content, outbound, pricing, onboarding, habits
Product: feature rollouts, in-app variants, ML targeting
Decision rule
Pre-committed kill and success thresholds, time-bound
Statistical significance on the exposed variant
Agent / MCP
Remote MCP server. Your agent runs the contract
No native MCP. SDK + REST APIs
Free plan
Unlimited experiments, unlimited archive, no card required
Free tier capped on events; paid plans scale by exposure
THE_HONEST_TAKE // not every tool fits every job

When each tool is the right call.

Statsig is the right call when
  • You ship product features behind flags and want to measure exposure with a statistical engine.
  • You need ML-driven personalization and dynamic targeting wired into the app.
  • You have a product engineering team that owns flag rollouts and SDK integration.
  • Your experiments live entirely inside the application surface.
Xi is the right call when
  • Your experiments are not feature rollouts. They are marketing decisions that need a contract.
  • You want to run a pricing test, a content test, and an outbound test in the same archive, with the same discipline.
  • You want an agent to commit, log, and confirm experiments via MCP, not a flag SDK.
  • You want a free plan with unlimited archive and zero codebase footprint.
FAQ // the questions buyers actually ask

Common questions, short answers.

How is Xi different from product experimentation platforms?

Product experimentation platforms are product-first: feature flags, statistical engines, ML personalization. Xi is marketing-first: a single contract per experiment, a verdict at the end, and an archive you can reuse. No flags, no SDK in your codebase.

Can I use Xi alongside Statsig?

Yes. Use Statsig for in-app feature experiments where flags and a stats engine are the right fit. Use Xi for everything outside the app: the marketing experiments, the pricing changes, the outreach pushes, the onboarding rewrites. The contract layer is what Xi adds, and it is orthogonal to flag-based experimentation.

Does Xi have a stats engine?

Xi does not run statistical significance tests. The decision rule is the contract: a kill threshold and a success threshold set up front, with an end date. This is intentional. Marketing experiments often run on small N where chasing significance is worse than committing to a threshold and shipping the verdict.

Do I need to install an SDK?

No. Xi has zero codebase footprint. You write the contract in plain language, attach the metric you already track, and log values manually or through the Claude MCP integration. Statsig requires SDK integration and flag evaluation in your application code.

Take one idea. Turn it into an experiment.

Free plan, unlimited archive, no card required. See it in Claude / Cursor / Codex in 30 seconds.

Run your first experimentSee all comparisons