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Adobe vs Deepset

Adobe scores higher on the AgentReady, 51/100 against 44/100. They differ on 9 of the 41 signals. Which ones decides whether an agent can adopt them without a person watching.

What each one is

Adobe. Adobe products and services empower developers to create memorable digital experiences through developer creativity

Deepset. Deepset is a company that provides Haystack, an open platform to build, run, and govern AI agents and applications.

Where Adobe is ahead

Adobe passes clear product positioning and llms-full.txt / full agent docs, and Deepset 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. Deepset misses it.

And on adopt, official typescript sdk. Deepset misses it.

Finally, on operate, agent compatibility verified. Deepset misses it.

Where Deepset is ahead

Deepset passes llms.txt published, and Adobe does not. That is discover, whether an agent can find the product at all without being told it exists.

It also holds understand: pricing understandable. Adobe misses it.

And on adopt, self-service signup and free trial or free allowance. Adobe misses those.

What neither does

Both fail public docs discoverable, openapi / spec quality, authentication documented, request examples provided, response examples provided, errors and status codes documented, limits / constraints documented, no mandatory sales call, agent-compatible signup flow, programmatic credential creation, fast time to first request, copyable quickstart, structured, predictable output, machine-readable errors, retry behavior documented, idempotency support, rate-limit behavior predictable. 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. Adobe leads 80 to 67. Adobe misses public docs discoverable, llms.txt published; Deepset misses clear product positioning, public docs discoverable, llms-full.txt / full agent docs.

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

Adopt. Deepset leads 50 to 40. Adobe misses self-service signup, no mandatory sales call, agent-compatible signup flow, programmatic credential creation, free trial or free allowance, fast time to first request, copyable quickstart; Deepset misses no mandatory sales call, agent-compatible signup flow, programmatic credential creation, fast time to first request, copyable quickstart, official typescript sdk.

Operate is whether an agent can run against it in production and recover when a call fails. Adobe leads 53 to 35. Adobe misses structured, predictable output, machine-readable errors, retry behavior documented, idempotency support, rate-limit behavior predictable; Deepset misses structured, predictable output, machine-readable errors, retry behavior documented, idempotency support, rate-limit behavior predictable, agent compatibility verified.

Pricing

Adobe does not publish a machine-readable starting price. Deepset starts at $0/mo and has a free tier.

Adobe plansDeepset plans
-Studio $0
-Enterprise Custom

Signal by signal

SignalAdobeDeepset
AgentReady5144
Discovery8067
Understanding3123
Adoption4050
Operability5335
Public APIYesYes
MCP serverYesYes
OpenAPI specYesUnknown
CLIYesYes
llms.txtUnknownYes
Self-serve signupUnknownYes
Free tierUnknownYes

Which to pick

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

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