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Activepieces vs SuperTokens

Activepieces scores higher on the AgentReady, 63/100 against 54/100. They differ on 11 of the 41 signals. Which ones decides whether an agent can adopt them without a person watching.

What each one is

Activepieces. AI automation platform that lets teams build agents and automations through chat, with enterprise-grade governance and 760+ integrations

SuperTokens. Open source user authentication platform that helps developers build fast, maintain control, and reduce costs.

Where Activepieces is ahead

Activepieces passes self-service signup and fast time to first request, and SuperTokens does not. That is adopt, whether an agent can get a key and make its first successful call without a human in the loop.

It also holds operate: structured, predictable output, retry behavior documented, idempotency support, observable execution and agent compatibility verified. SuperTokens misses those.

Where SuperTokens is ahead

SuperTokens passes llms-full.txt / full agent docs, and Activepieces 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, official typescript sdk and official python sdk. Activepieces misses those.

What neither does

Both fail structured api reference, openapi / spec quality, request examples provided, response examples provided, errors and status codes documented, limits / constraints documented, agent-compatible signup flow, programmatic credential creation, machine-readable errors, 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. SuperTokens leads 100 to 93. Activepieces misses llms-full.txt / full agent docs; SuperTokens misses nothing.

Understand. Both sit at 31/100 here. Activepieces misses structured api reference, openapi / spec quality, request examples provided, response examples provided, errors and status codes documented, limits / constraints documented; SuperTokens misses structured api reference, openapi / spec quality, request examples provided, response examples provided, errors and status codes documented, limits / constraints documented.

Adopt. SuperTokens leads 60 to 52. Activepieces misses no mandatory sales call, agent-compatible signup flow, programmatic credential creation, official typescript sdk, official python sdk; SuperTokens misses self-service signup, agent-compatible signup flow, programmatic credential creation, fast time to first request.

Operate is whether an agent can run against it in production and recover when a call fails. Activepieces leads 76 to 24. Activepieces misses machine-readable errors, rate-limit behavior predictable; SuperTokens misses structured, predictable output, machine-readable errors, retry behavior documented, idempotency support, rate-limit behavior predictable, observable execution, agent compatibility verified.

Pricing

Activepieces does not publish a machine-readable starting price and has a free tier. SuperTokens starts at $0.02/MAU and has a free tier.

Signal by signal

Which to pick

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

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