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Activepieces vs Inngest

Activepieces scores higher on the AgentReady, 63/100 against 61/100. They differ on 10 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

Inngest. Inngest is an event-driven durable execution platform that allows developers to run fast, reliable code on any platform without managing queues, infrastructure, or state.

Where Activepieces is ahead

Activepieces passes search discoverable, and Inngest 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. Inngest misses it.

And on operate, structured, predictable output, retry behavior documented and agent compatibility verified. Inngest misses those.

Where Inngest is ahead

Inngest 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 understand: structured api reference and limits / constraints documented. Activepieces misses those.

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

What neither does

Both fail openapi / spec quality, request examples provided, response examples provided, errors and status codes documented, no mandatory sales call, 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. Activepieces leads 93 to 87. Activepieces misses llms-full.txt / full agent docs; Inngest misses search discoverable.

Understand. Inngest leads 46 to 31. Activepieces misses structured api reference, openapi / spec quality, request examples provided, response examples provided, errors and status codes documented, limits / constraints documented; Inngest misses openapi / spec quality, authentication documented, request examples provided, response examples provided, errors and status codes documented.

Adopt. Inngest leads 70 to 52. Activepieces misses no mandatory sales call, agent-compatible signup flow, programmatic credential creation, official typescript sdk, official python sdk; Inngest misses no mandatory sales call, agent-compatible signup flow, programmatic credential creation.

Operate is whether an agent can run against it in production and recover when a call fails. Activepieces leads 76 to 41. Activepieces misses machine-readable errors, rate-limit behavior predictable; Inngest misses structured, predictable output, machine-readable errors, retry behavior documented, rate-limit behavior predictable, agent compatibility verified.

Pricing

Activepieces does not publish a machine-readable starting price and has a free tier. Inngest starts at $99/mo and has a free tier.

Signal by signal

Which to pick

Signal counts are level here, so fit and price decide it. Full profiles: Activepieces and Inngest. Alternatives to each: Activepieces, Inngest.

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