GoCardless vs Paddle
Paddle scores higher on the AgentReady, 83/100 against 61/100. 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
GoCardless. GoCardless is a payment platform that enables businesses to collect and send payments, minimise failures, and fight fraud.
Paddle. Paddle is a Merchant of Record platform for digital product businesses that manages payments, tax, compliance, and billing across 300+ markets.
Where GoCardless is ahead
GoCardless passes search discoverable, public docs 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, fast time to first request, copyable quickstart, official typescript sdk and official python sdk. Paddle misses those.
Finally, on operate, canonical workflow succeeds, retry behavior documented and observable execution. Paddle misses those.
Where Paddle is ahead
Paddle passes structured api reference, and GoCardless does not. That is understand, whether an agent can read the docs and work out how the API behaves before calling it.
What neither does
Both fail openapi / spec quality, request examples provided, response examples provided, errors and status codes documented, limits / constraints documented, no mandatory sales call, programmatic credential creation, structured, predictable output, machine-readable errors, 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. GoCardless leads 100 to 83. GoCardless misses nothing; Paddle misses search discoverable, public docs discoverable, llms-full.txt / full agent docs.
Understand is whether an agent can read the docs and work out how the API behaves before calling it. Paddle leads 83 to 31. GoCardless misses structured api reference, openapi / spec quality, 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. Paddle leads 100 to 70. GoCardless misses no mandatory sales call, agent-compatible signup flow, programmatic credential creation; 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 44. GoCardless misses structured, predictable output, machine-readable errors, idempotency support, rate-limit behavior predictable, agent compatibility verified; 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
GoCardless does not publish a machine-readable starting price and has a free tier. Paddle does not publish one and has a free tier.
Signal by signal
| Signal | GoCardless | Paddle |
|---|---|---|
| AgentReady | 61 | 83 |
| Discovery | 100 | 83 |
| Understanding | 31 | 83 |
| Adoption | 70 | 100 |
| Operability | 44 | 67 |
| Public API | Yes | Yes |
| MCP server | Yes | Yes |
| OpenAPI spec | Unknown | Yes |
| CLI | Yes | Yes |
| llms.txt | Yes | Yes |
| Self-serve signup | Yes | Yes |
| Free tier | Yes | Yes |
Which to pick
GoCardless clears more of the signals an agent needs, so it is the safer default for unattended use. Full profiles: GoCardless and Paddle. Alternatives to each: GoCardless, Paddle.
An agent can fetch this as data: POST /v1/compare {"slugs": ["gocardless", "paddle"]}