superflows
Superflows provides an embeddable AI assistant platform that integrates with a SaaS product's APIs and OpenAPI docs to answer analytics queries, take actions on behalf of users, and provide in-app documentation and guidance without requiring an in-house AI team.
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Quick Overview
Best for: AI Agents
What it does
AI Agents software for decision-makers comparing workflow fit and alternatives.
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superflows
Superflows is a platform for adding an AI assistant directly into a software product without needing an in-house AI team. It connects to a product's APIs and documentation (including OpenAPI specs) to answer analytics queries, generate plots, and perform actions on behalf of users, while allowing product teams to control behavior and answer formats. The product targets SaaS product teams and is positioned to reduce time-to-insight for users, increase engagement and retention, and save engineering time by delivering a production-ready assistant in weeks rather than months.
AI assistant for email and SaaS products, enabling AI-powered replies and user support.
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Claim this listingKey Features
Analytics (data queries & plots)
Calls your product's APIs to get data, writes code to crunch numbers, and returns analytics answers and plots so users get insights in seconds.
Actions (perform product actions)
Prepares actions for users and asks for confirmation before completing them so the assistant can perform any action the product supports.
Documentation & in-product help
Provides users with a product expert within the UI to help them get the most from the software and reference docs.
API & OpenAPI integration
Supports uploading OpenAPI specs and product docs to define available endpoints and allow the assistant to reference them.
One-line integration & developer tools
Integrate the assistant into a frontend with a single code snippet; includes a developer dashboard and a playground for testing.
Control & governance
Allows product teams to approve answer formats and configure assistant behavior to keep responses within trusted bounds.
User interaction analytics
Collects and surfaces what users ask, and feedback on which answers are useful to iterate on assistant behavior.
Pricing
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Use Cases
Embedded analytics assistant
Let users ask complex analytics questions in natural language and receive plots and insights without building dedicated dashboards.
Actionable AI copilot (CRM Copilot example)
Enable users to ask and command the product via chat—e.g., prioritise deals, create tasks, or run outreach analyses—improving activation and retention for CRM-style products.
In-product documentation and onboarding
Provide contextual help and a product expert inside the UI so non-technical users can solve problems without escalation to engineers.
Integrations
OpenAPI / product APIs
Upload OpenAPI specs and define product endpoints the assistant may call to fetch data and perform actions.
Frontend embedding (one-line snippet)
Integrate the assistant into your product UI with a single code snippet for immediate usage.
Developer dashboard & playground
Developer tools and a playground for testing and configuring the assistant before launch.
GitHub / open source components
Public repositories and UI components are mentioned (e.g., Superflows API, chat UI) for developers to follow and extend. (page references GitHub and repo names)
Benefits
Limitations
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Frequently Asked Questions
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Getting Started
- 1 Connect your API & docs: define available endpoints and provide documentation (upload OpenAPI spec).
- 2 Customize and control behavior: configure assistant answers and approve answer formats.
- 3 Integrate in one line of code: add the provided frontend snippet to go live.
- 4 Test and iterate: use the playground, configure authentication, analyze user interactions, collect feedback, and adjust before going live.
Support
Docs
Product documentation and integration guides available from the site (referenced as Docs, Integration Guide, API Specification).
Demo / Sales
"Book a demo" and workshop / POC offering to evaluate requirements and build proofs of concept.
GitHub
Open source repos and releases on GitHub for following updates and making feature suggestions.
Playground
In-product playground for testing the assistant with configured APIs and authentication.
API
Integration Guide and API Specification are referenced on the site; upload OpenAPI spec is supported.
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