Frigade Assist API

The Frigade Assist API makes the AI agent you already built an expert in your product. With one tool call, your agent can answer product questions and guide users through workflows, right inside the agent you already built. Frigade presents it simply: you add Frigade in one call, and your agent answers questions and guides users through your product. The API is described as a lightweight SDK and two primitives — you register it as a tool your agent can call in a few lines, and your agent can then run a live product tour or return a grounded product answer. It is aimed at product and engineering teams who have built their own agents and want those agents to know the product. It is also available to teams with no agent yet, since Frigade ships a full in-product assistant that learns your product and guides users in real time, with no code required. The problem Frigade addresses is that most in-app AI agents answer "how do I do this?" with a wall of text, because they cannot see the screen. As Frigade puts it, your agent has read your docs but has never used your product. Written documentation is accurate exactly once; Frigade shows a help center article updated nine months ago, featuring a broken 404 screenshot, telling users to open "Webhooks (formerly Integrations)" and paste a URL. Answers like that go stale the day you ship. The Assist API closes that gap by giving your agent the same product your user is looking at, so it can walk them through the workflow instead of linking a document from two releases ago. Integration is deliberately small. The example in Frigade's documentation defines a single tool, frigade_guide_tool, with a description telling the agent to call it to answer product questions or guide the user through a task, and a query parameter describing what the user is asking or wants to do. The tool's run function calls frigade.assist({ query }), and you add that tool to your agent's existing toolset. It is framework-agnostic by design: it works cleanly with the Vercel AI SDK today, and any agent that can call a tool can call Frigade, regardless of how the agent was built or which models it runs. Your agent keeps its own reasoning and voice, decides when to call Frigade, and decides what to do with the result. Frigade learns your product by using it. It deploys agents that work through your real workflows the way your users do, documenting how each one behaves and taking in your existing knowledge base. The site describes this in three steps: you invite Frigade the way you would a user, with nothing to document or configure first; it works through real workflows, clicking the same paths your users click and mapping how features actually connect; and it re-learns on every release, so the map updates itself and your agent is never a version behind. A visual list of product areas — Security, Retention, Dashboards, Webhooks, Notifications, Environments, Provisioning, Custom fields, Imports, Integrations, Data export, and Members — shows items marked as relearned, moved, mapped, or unchanged after a September release. Guidance is one of the two primitives. Rather than returning text alone, Frigade draws a step-by-step guide right on the page. In an example settings screen, a Frigade panel shows "Step 1 / 3" and instructs the user to "Open Security to manage SSO. Follow the highlight," with the real steps rendered inside your own UI. In another example, while a user adds a webhook, the guide reads: "Add the URL and I'll send a test event to confirm it's live," with a step counter showing 4 of 6 and navigation controls. The Assist API also tells the agent what the user is looking at, which is what allows the guide to be placed in context. Answers are grounded and controlled by your team. Frigade generates answers from how your product works in the current release, so they hold up even when the help center is two releases behind. Your team stays in control: anyone can rate any answer and write the behavior they want instead — no code required — and the change holds from the next conversation onward. An example conversation shows an agent answering whether the Growth plan includes SSO, with a note underneath: "Also mention SAML is on Enterprise only," which is saved without code. Frigade calls this steering: the more your team puts in, the better it gets. Frigade logs every reply your agent gives. You can see every conversation your agent handled through Frigade in the dashboard, in Slack, or over the API. A list of example queries shows how calls resolve: "Does the Growth plan include SSO?" resolved, "How do I connect Slack?" guided, "Our contractor needs API access" guided, "I want to cancel my account" handoff, "Why did my sync fail last night?" guided, and "Delete our workspace and all data" handoff. Insights let you see where users get stuck, where the agent helps, and where it hands off. Frigade also knows its limits: when it cannot help it says so and passes the conversation to your team, returning fast so your agent never stalls or burns latency. Alongside answering and guiding, Frigade can proactively surface the right feature to a user when they would benefit from it — the same idea as Frigade's Suggestions product — helping drive feature adoption and expansion revenue. Underneath the tool call, Frigade describes an entire engine that relearns your product, plus a platform your team manages with no code. Four components are named: the product model, built by using your product and rebuilt every release; grounded answers, written from your actual product rather than just your docs; guidance, the real steps rendered inside your own UI; and steering, where the more your team puts in, the better it gets. The company frames the difference bluntly: it is not just a tool call. The benefits are described throughout. Your agent stops linking stale documents and starts walking users through the workflow. Answers stay current because Frigade relearns on every release, so you do not have to retrain the agent or rewrite prompts. Support, CS, and CX teams own the answers without filing tickets to engineering. Every answer is logged, giving your team visibility in the dashboard or over the API. The agent stays in control of the conversation — Frigade adds product expertise, it never takes over. And when Frigade cannot help, it hands off cleanly. A customer story from Valley reports that Frigade solved over 400 queries a month that would otherwise have gone to support, equivalent to two hires the company did not have to make, paying for itself within the first two months. Typical scenarios appear directly in Frigade's content. A user asks whether the Growth plan includes SSO and gets a grounded answer about turning it on under Settings, then Security. A user needs to add a webhook: the agent starts a guided flow in the app, the user pastes an endpoint URL, and the guide confirms it will send a test event. A user asks how to set up SAML, connect Slack, or grant API access to a contractor, and the agent guides them. A user asks to cancel an account or delete a workspace and all data, and Frigade hands the conversation to the human team. A user asks why a sync failed or why a webhook stopped firing and gets guided help. Morning Consult reported a working prototype deployed in less than a few hours of automated training, able to generate product tours on the fly without manual configuration. Frigade Assist API is used by product and engineering teams who want the agents they built to gain real expertise in their product. Frigade says it is trusted by teams building the best products, naming Sanity, Arc, Merge, Productboard, Legora, Retell, Logicbroker, Hotplate, Spellbook, Perfect Venue, Simplify, and Typewise, and quotes Vercel CEO Guillermo Rauch calling Frigade "mind-blowingly good." On integration, the Vercel AI SDK is supported and the API stays framework-agnostic. On security, Frigade is SOC 2 Type II certified and fully GDPR compliant, with data encrypted in transit with TLS 1.2+ and at rest with AES-256, EU data residency, a zero-retention LLM policy, and automatic PII scrubbing. Guidance runs with the user's own permissions, so the agent only sees what the user can already see, and teams needing full data control can self-host Frigade with their own LLM keys. Pricing starts at $1,000 per month with usage-based scaling, and enterprise plans with custom pricing are available. For teams that have built their own agents, the Frigade Assist API is one tool call that turns those agents into product experts — grounded in the live product, able to draw step-by-step guidance inside your own UI, tunable by your team without code, and able to hand off cleanly when it cannot help. Frigade's own summary puts it simply: give your agent product superpowers.