Plausible vs Statsig
Statsig scores higher on the AgentReady, 51/100 against 48/100. They differ on 7 of the 41 signals. Which ones decides whether an agent can adopt them without a person watching.
What each one is
Plausible. Plausible Analytics is a simple, privacy-friendly alternative to Google Analytics.
Statsig. Statsig is a unified platform for feature flags, A/B testing, and product analytics that helps teams ship, measure, and learn.
Where Plausible is ahead
Plausible passes authentication documented, and Statsig does not. That is understand, whether an agent can read the docs and work out how the API behaves before calling it.
It also holds adopt: no mandatory sales call. Statsig misses it.
Where Statsig is ahead
Statsig passes llms.txt published and llms-full.txt / full agent docs, and Plausible does not. That is discover, whether an agent can find the product at all without being told it exists.
It also holds adopt: fast time to first request, copyable quickstart and official python sdk. Plausible misses those.
What neither does
Both fail mcp discoverable, structured api reference, openapi / spec quality, request examples provided, response examples provided, errors and status codes documented, limits / constraints documented, programmatic credential creation, cli available, mcp integration available, structured, predictable output, machine-readable errors, retry behavior documented, idempotency support, rate-limit behavior predictable, agent compatibility verified. If your agent needs any of those, you will be building it yourself either way.
Score, pillar by pillar
The AgentReady splits into four pillars, scored separately, because a product can be easy to find and still impossible to adopt.
Discover is whether an agent can find the product at all without being told it exists. Statsig leads 87 to 73. Plausible misses llms.txt published, llms-full.txt / full agent docs, mcp discoverable; Statsig misses mcp discoverable.
Understand. Plausible leads 31 to 23. Plausible misses structured api reference, openapi / spec quality, request examples provided, response examples provided, errors and status codes documented, limits / constraints documented; Statsig misses structured api reference, openapi / spec quality, authentication documented, request examples provided, response examples provided, errors and status codes documented, limits / constraints documented.
Adopt. Statsig leads 60 to 52. Plausible misses programmatic credential creation, fast time to first request, copyable quickstart, official python sdk, cli available, mcp integration available; Statsig misses no mandatory sales call, programmatic credential creation, cli available, mcp integration available.
Operate. Both sit at 35/100 here. Plausible misses structured, predictable output, machine-readable errors, retry behavior documented, idempotency support, rate-limit behavior predictable, agent compatibility verified; Statsig misses structured, predictable output, machine-readable errors, retry behavior documented, idempotency support, rate-limit behavior predictable, agent compatibility verified.
Pricing
Plausible starts at $9/mo with no free tier. Statsig does not publish one and has a free tier.
| Plausible plans | Statsig plans |
|---|---|
| Starter $9/mo | - |
| Growth $14/mo | - |
| Business $19/mo | - |
Signal by signal
| Signal | Plausible | Statsig |
|---|---|---|
| AgentReady | 48 | 51 |
| Discovery | 73 | 87 |
| Understanding | 31 | 23 |
| Adoption | 52 | 60 |
| Operability | 35 | 35 |
| Public API | Yes | Yes |
| MCP server | Unknown | Unknown |
| OpenAPI spec | Unknown | Unknown |
| CLI | Unknown | Unknown |
| llms.txt | Unknown | Yes |
| Self-serve signup | Yes | Yes |
| Free tier | No | Yes |
Which to pick
Statsig clears more of the signals an agent needs, so it is the safer default for unattended use. Full profiles: Plausible and Statsig. Alternatives to each: Plausible, Statsig.
An agent can fetch this as data: POST /v1/compare {"slugs": ["plausible", "statsig"]}