Integry App Functions for AI

The honest pitch here is that Integry is selling the boring half of agentic integrations. Plenty of vendors will give your LLM a pile of endpoints and let it hallucinate its way into a Slack channel that doesn't exist. Integry's Function Prediction picks the function, Supporting Data surfaces the helper call you forgot (Get Channels before you post), and the review UI gives a human a chance to correct the arguments before the write goes out. For anyone who has shipped an assistant that confidently updated the wrong Salesforce record, that sequence is worth real money. Strengths: the Starter tier includes all apps, Function Prediction AI, Headless Calling, the Passthrough API, Custom Fields, the Auth Marketplace, and unlimited team members at no cost for 10 end users — that's a genuine evaluation environment, not a sandbox. Authentication covers over a dozen protocols, so you're not writing OAuth flows for every one of the 280+ apps. Call Logs with per-invocation detail give you the debugging surface agent workflows usually lack. Integry claims 200,000+ integrations and 1B+ API calls monthly in production. Weaknesses: log retention is capped at 30 days on both Starter and Growth, so compliance or long-running audit trails force an Enterprise conversation. Connect-to-any-API, two-way sync, import/export, custom integrations, and embedding are all Growth, which is contract-priced with no published number. Custom Functions and the Custom UI SDK are still marked coming soon on the vendor's own page, so don't architect around them today. It's cloud-only — no self-hosting, no air-gapped option. Where it fits: developer teams embedding an action layer inside their own AI product, and platforms that need whitelabel auth, workspaces, and custom throughput at Enterprise. Where it doesn't: solo builders wanting a visual builder, and anyone whose integration needs stop at two-step triggers — Zapier or Make will be cheaper to learn and operate for that shape of problem.