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June vs Marqo

June scores higher on the AgentReady, 39/100 against 38/100. They differ on 8 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.

Marqo. Marqo is a search and product discovery platform built for ecommerce that uses LLM-based retrieval to continuously learn from shopper behavior and surface relevant, high-converting products.

Where June is ahead

June passes clear canonical domain and clear product positioning, and Marqo does not. That is discover, whether an agent can find the product at all without being told it exists.

It also holds adopt: no mandatory sales call, agent-compatible signup flow and copyable quickstart. Marqo misses those.

Where Marqo is ahead

Marqo 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: structured api reference. June misses it.

And on operate, observable execution. June misses it.

What neither does

Both fail llms.txt published, llms-full.txt / full agent docs, mcp discoverable, openapi / spec quality, authentication documented, request examples provided, response examples provided, errors and status codes documented, limits / constraints documented, self-service signup, 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. June leads 60 to 53. June misses search discoverable, llms.txt published, llms-full.txt / full agent docs, mcp discoverable; Marqo misses clear canonical domain, clear product positioning, llms.txt published, llms-full.txt / full agent docs, mcp discoverable.

Understand. Marqo leads 38 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; Marqo misses openapi / spec quality, authentication documented, request examples provided, response examples provided, errors and status codes documented, limits / constraints documented.

Adopt is whether an agent can get a key and make its first successful call without a human in the loop. June leads 50 to 25. June misses self-service signup, programmatic credential creation, fast time to first request, cli available, mcp integration available; Marqo misses self-service signup, no mandatory sales call, agent-compatible signup flow, programmatic credential creation, fast time to first request, copyable quickstart, cli available, mcp integration available.

Operate. Marqo 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; Marqo 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. Marqo does not publish one with no free tier.

Signal by signal

SignalJuneMarqo
AgentReady3938
Discovery6053
Understanding2338
Adoption5025
Operability2435
Public APIYesYes
MCP serverNoUnknown
OpenAPI specUnknownYes
CLIUnknownUnknown
llms.txtUnknownUnknown
Self-serve signupNoNo
Free tierNoNo

Which to pick

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

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