The closest match on shape and on silence. Both are enterprise AI agent platforms with no pricing page (sierra.ai/pricing also returns 404) and a pricing philosophy published only as a blog post. Sierra leads with outcomes where Decagon leads with conversations, and Sierra rules out seats outright where Decagon never addresses them.
The counterexample. Lorikeet publishes a full rate card, credit rates per channel and worked examples at lorikeetcx.ai/pricing, plus a machine-readable mirror. Decagon publishes no figure of any kind.
Fin is sold standalone onto an existing help desk, the same posture Decagon takes. Intercom publishes $0.99 per outcome, which handoffs bill and which do not, and a reopen refund rule. Decagon publishes none of those.
Enterprise AI agent competitor that also gates its price behind sales, but documents a four-role seat model where Decagon names no roles and no seat concept at all.
Overlaps on autonomous resolution over an existing help desk, at a smaller and less enterprise-weighted deployment size.
6 of 9 not published by Decagon, checked