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June vs Plausible

Plausible scores higher on the AgentReady, 48/100 against 39/100. They differ on 6 of the 41 signals. Which ones decides whether an agent can adopt them without a person watching.

What each one is

June. June was a product analytics tool for B2B SaaS companies, focused on helping companies build better products and prevent customer churn.

Plausible. Plausible Analytics is a simple, privacy-friendly alternative to Google Analytics.

Where June is ahead

June passes copyable quickstart and official python sdk, and Plausible does not. That is adopt, whether an agent can get a key and make its first successful call without a human in the loop.

Where Plausible is ahead

Plausible passes search discoverable, and June does not. That is discover, whether an agent can find the product at all without being told it exists.

It also holds understand: authentication documented. June misses it.

And on adopt, self-service signup. June misses it.

Finally, on operate, observable execution. June misses it.

What neither does

Both fail llms.txt published, llms-full.txt / full agent docs, 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, fast time to first request, 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. Plausible leads 73 to 60. June misses search discoverable, llms.txt published, llms-full.txt / full agent docs, mcp discoverable; Plausible misses llms.txt published, llms-full.txt / full agent docs, mcp discoverable.

Understand. Plausible leads 31 to 23. June misses structured api reference, openapi / spec quality, authentication documented, request examples provided, response examples provided, errors and status codes documented, limits / constraints documented; Plausible misses structured api reference, openapi / spec quality, request examples provided, response examples provided, errors and status codes documented, limits / constraints documented.

Adopt. Plausible leads 52 to 50. June misses self-service signup, programmatic credential creation, fast time to first request, cli available, mcp integration available; Plausible misses programmatic credential creation, fast time to first request, copyable quickstart, official python sdk, cli available, mcp integration available.

Operate. Plausible leads 35 to 24. June misses structured, predictable output, machine-readable errors, retry behavior documented, idempotency support, rate-limit behavior predictable, observable execution, agent compatibility verified; Plausible misses structured, predictable output, machine-readable errors, retry behavior documented, idempotency support, rate-limit behavior predictable, agent compatibility verified.

Pricing

June does not publish a machine-readable starting price with no free tier. Plausible starts at $9/mo with no free tier.

Signal by signal

Which to pick

Plausible clears more of the signals an agent needs, so it is the safer default for unattended use. Full profiles: June and Plausible. Alternatives to each: June, Plausible.

An agent can fetch this as data: POST /v1/compare {"slugs": ["june", "plausible"]}