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Orb vs Paddle

Paddle scores higher on the AgentReady, 83/100 against 49/100. They differ on 12 of the 41 signals. Which ones decides whether an agent can adopt them without a person watching.

What each one is

Orb. Orb automates usage-based billing, streamlines pricing strategy, and gives best-in-class teams the tools they need to accelerate revenue growth.

Paddle. Paddle is a Merchant of Record platform for digital product businesses that manages payments, tax, compliance, and billing across 300+ markets.

Where Orb is ahead

Orb passes search discoverable and llms-full.txt / full agent docs, and Paddle 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. Paddle misses it.

And on adopt, official typescript sdk and official python sdk. Paddle misses those.

Finally, on operate, canonical workflow succeeds and agent compatibility verified. Paddle misses those.

Where Paddle is ahead

Paddle passes llms.txt published, and Orb 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. Orb misses it.

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

What neither does

Both fail public docs discoverable, openapi / spec quality, request examples provided, response examples provided, errors and status codes documented, limits / constraints documented, no mandatory sales call, 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, observable execution. 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. Paddle leads 83 to 80. Orb misses public docs discoverable, llms.txt published; Paddle misses search discoverable, public docs discoverable, llms-full.txt / full agent docs.

Understand. Paddle leads 83 to 38. Orb misses openapi / spec quality, pricing understandable, request examples provided, response examples provided, errors and status codes documented, limits / constraints documented; Paddle 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. Paddle leads 100 to 35. Orb 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, cli available; Paddle misses no mandatory sales call, programmatic credential creation, fast time to first request, copyable quickstart, official typescript sdk, official python sdk.

Operate. Paddle leads 67 to 41. Orb misses structured, predictable output, machine-readable errors, retry behavior documented, idempotency support, rate-limit behavior predictable, observable execution; Paddle misses canonical workflow succeeds, structured, predictable output, machine-readable errors, retry behavior documented, idempotency support, rate-limit behavior predictable, observable execution, agent compatibility verified.

Pricing

Orb does not publish a machine-readable starting price. Paddle does not publish one and has a free tier.

Signal by signal

Which to pick

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

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