Install
npm install @rive-app/canvasTry itExperimental
See what an agent can do with Rive before you ever sign up. Pick a story: recorded sessions replay real probe-harness transcripts; commands tagged live-capable can re-run against the real endpoint from our edge, right now (▶ run live — the exact same request, live and recorded lines always labeled); sandboxed self-drive sessions are designed and gated (docs/TRY-IT.md).
$curl -sL https://rive.app/docs/llms.txt | head -3recorded session — replayed, not liveVerified integrations
No integration evidence found in our corpus for this product yet — that means none was found, never that it doesn’t integrate.
By theme — the product's score on each story themeBy theme
Agent design — stories about agent design in this arenaAgent designevidence →
Stories about agent design in this arena
Agenticness — how well agents can access and operate the productAgenticnessevidence →
How well agents can access and operate the product
Ai design — stories about ai design in this arenaAi designevidence →
Stories about ai design in this arena
Automation depth — how much of the product can run unattendedAutomation depthevidence →
How much of the product can run unattended
Collaboration multiplayer — stories about collaboration multiplayer in this arenaCollaboration multiplayerevidence →
Stories about collaboration multiplayer in this arena
Components design systems — stories about components design systems in this arenaComponents design systemsevidence →
Stories about components design systems in this arena
Dev handoff — stories about dev handoff in this arenaDev handoffevidence →
Stories about dev handoff in this arena
Openness — open source, data portability, and self-hosting storiesOpennessevidence →
Open source, data portability, and self-hosting stories
Plugins extensibility — stories about plugins extensibility in this arenaPlugins extensibilityevidence →
Stories about plugins extensibility in this arena
Pricing plans — plan structure and value — what each tier costs and what it unlocksPricing plansevidence →
Plan structure and value — what each tier costs and what it unlocks
Privacy posture — data-handling and privacy storiesPrivacy postureevidence →
Data-handling and privacy stories
n/a
Prototyping — stories about prototyping in this arenaPrototypingevidence →
Stories about prototyping in this arena
Vector editing — stories about vector editing in this arenaVector editingevidence →
Stories about vector editing in this arena
Versioning export — stories about versioning export in this arenaVersioning exportevidence →
Stories about versioning export in this arena
Story verdicts — every judged story with its evidenceStory verdicts
What’s free: 6 free · 0 paid · 0 enterprise · 18 not stated in evidence
Follow the green: where the map greys out is where Rive stops today. ✓ full · ~ partial · ! disputed · — none · n/a not applicable.
Agent design — stories about agent design in this arenaAgent design
Stories about agent design in this arena
Agenticness — how well agents can access and operate the productAgenticness
How well agents can access and operate the product
API surface
Drive the product through a documented public API
✓8/10
unlocks → Webhooks · Machine-readable spec · Versioning policy · Full data export · An agent can render and export designs — screenshots, images, or production formats — through a documented programmatic surface · A documented plugin API with typings and samples lets me build and distribute my own editor extensions · Extend the editor from a large plugin community or marketplace — icons, data fillers, accessibility checkers, and more
Subscribe to events via webhooks
—–
Build against official SDKs
✓8/10
Issue scoped/least-privilege API credentials for an agent
n/an/a
Connect an agent via an official MCP server
✓8/10
Download a machine-readable API spec (OpenAPI or equivalent)
—0/10
Rely on versioned APIs with a documented deprecation policy
—0/10
Test against a sandbox environment without touching production data
n/an/a
Explore an interactive API reference with runnable examples
—0/10
Agentic features
Delegate tasks to a built-in AI assistant inside the product
✓8/10
Operate the product with natural-language commands
~6/10
unlocks → Autonomous automations
Plug MCP servers into this product so it can use their tools
✓7/10
Get AI-generated insights and suggestions from my data inside the product
n/an/a
Set up automations that run autonomously in the background
—0/10
Ai design — stories about ai design in this arenaAi design
Stories about ai design in this arena
Automation depth — how much of the product can run unattendedAutomation depth
How much of the product can run unattended
Collaboration multiplayer — stories about collaboration multiplayer in this arenaCollaboration multiplayer
Stories about collaboration multiplayer in this arena
Components design systems — stories about components design systems in this arenaComponents design systems
Stories about components design systems in this arena
Design systems
Dev handoff — stories about dev handoff in this arenaDev handoff
Stories about dev handoff in this arena
Openness — open source, data portability, and self-hosting storiesOpenness
Open source, data portability, and self-hosting stories
Plugins extensibility — stories about plugins extensibility in this arenaPlugins extensibility
Stories about plugins extensibility in this arena
Pricing plans — plan structure and value — what each tier costs and what it unlocksPricing plans
Plan structure and value — what each tier costs and what it unlocks
Privacy posture — data-handling and privacy storiesPrivacy posture
Data-handling and privacy stories
Prototyping — stories about prototyping in this arenaPrototyping
Stories about prototyping in this arena
Vector editing — stories about vector editing in this arenaVector editing
Stories about vector editing in this arena
Versioning export — stories about versioning export in this arenaVersioning export
Stories about versioning export in this arena
Sorted by importance (agentic first) (high → low) · 53/53 stories · click a row’s chevron for the rationale and evidence
Connect an agent via an official MCP server G Agent access | ai-native user | Agenticness — how well agents can access and operate the productAgenticness | 3 | full | 8/10 | Tprobed | |
Delegate tasks to a built-in AI assistant inside the product G Agentic features | ai-native user | Agenticness — how well agents can access and operate the productAgenticness | 3 | full | 8/10 | Cclaimed | |
Drive the product through a documented public API G Agent access | ai-native user | Agenticness — how well agents can access and operate the productAgenticness | 3 | fullfree | 8/10 | Tprobed | |
Plug MCP servers into this product so it can use their tools G Agent access | ai-native user | Agenticness — how well agents can access and operate the productAgenticness | 3 | full | 7/10 | Tprobed | |
Build against official SDKs G Agent access | ai-native user | Agenticness — how well agents can access and operate the productAgenticness | 2 | fullfree | 8/10 | Cclaimed | |
Point an agent at llms.txt or agent-oriented docs G Agent access | ai-native user | Agenticness — how well agents can access and operate the productAgenticness | 2 | full | 7/10 | Tprobed | |
Operate the product with natural-language commands G Agentic features | ai-native user | Agenticness — how well agents can access and operate the productAgenticness | 2 | partial | 6/10 | Tprobed | |
Run the product headlessly / in CI for automation G Agent access | ai-native user | Agenticness — how well agents can access and operate the productAgenticness | 2 | partialfree | 4/10 | Cclaimed | |
Use an official CLI G Agent access | ai-native user | Agenticness — how well agents can access and operate the productAgenticness | 2 | partial | 3/10 | Cclaimed | |
Download a machine-readable API spec (OpenAPI or equivalent) G Api quality | ai-native user | Agenticness — how well agents can access and operate the productAgenticness | 2 | none | 0/10 | ||
Explore an interactive API reference with runnable examples G Api quality | ai-native user | Agenticness — how well agents can access and operate the productAgenticness | 2 | none | 0/10 | ||
Rely on versioned APIs with a documented deprecation policy G Api quality | ai-native user | Agenticness — how well agents can access and operate the productAgenticness | 2 | none | 0/10 | ||
Set up automations that run autonomously in the background G Agentic features | ai-native user | Agenticness — how well agents can access and operate the productAgenticness | 2 | none | 0/10 | ||
Get AI-generated insights and suggestions from my data inside the product G Agentic features | ai-native user | Agenticness — how well agents can access and operate the productAgenticness | 2 | n/a | untested | none yet | |
Issue scoped/least-privilege API credentials for an agent G Agent access | ai-native user | Agenticness — how well agents can access and operate the productAgenticness | 2 | n/a | untested | none yet | |
Subscribe to events via webhooks G Agent access | ai-native user | Agenticness — how well agents can access and operate the productAgenticness | 2 | none | untested | none yet | |
Test against a sandbox environment without touching production data G Api quality | ai-native user | Agenticness — how well agents can access and operate the productAgenticness | 1 | n/a | untested | none yet | |
Build reusable components with variants and per-instance overrides that stay linked to their source C Design systems | designer | Components design systems — stories about components design systems in this arenaComponents design systems | 3 | full | 8/10 | Cclaimed | |
My coding agent can pull real design context — frames, variables, screenshots, component mappings — through an MCP server or API to implement the design C Agent ops | ai-native user | Agent design — stories about agent design in this arenaAgent design | 3 | partial | 5/10 | Tprobed | |
Define rules that trigger actions automatically on events G | ai-native user | Automation depth — how much of the product can run unattendedAutomation depth | 3 | partial | 4/10 | Cclaimed | |
Export all of my data in open formats and leave G | ai-native user | Openness — open source, data portability, and self-hosting storiesOpenness | 3 | disputed | 4/10 | Dcontradicted | |
My whole team can edit the same file simultaneously with live cursors and instant sync C Collaboration | designer | Collaboration multiplayer — stories about collaboration multiplayer in this arenaCollaboration multiplayer | 3 | partial | 4/10 | Cclaimed | |
I get professional vector tools — pen and path editing, boolean operations, precise alignment — for real interface design work C Canvas | designer | Vector editing — stories about vector editing in this arenaVector editing | 3 | disputed | 3/10 | Dcontradicted | |
Self-host the core product G | ai-native user | Openness — open source, data portability, and self-hosting storiesOpenness | 3 | none | 0/10 | ||
Inspect any layer and get measurements, styles, assets, and code snippets (CSS/iOS/Android) without an editor seat G Handoff | developer | Dev handoff — stories about dev handoff in this arenaDev handoff | 3 | n/a | untested | none yet | |
Prevent my data from being used to train AI models G | ai-native user | Privacy posture — data-handling and privacy storiesPrivacy posture | 3 | n/a | untested | none yet | |
An agent can create or modify designs programmatically — through a write-capable API, plugin surface, or MCP tools — not just read them C Agent ops | ai-native user | Agent design — stories about agent design in this arenaAgent design | 2 | full | 8/10 | Tprobed | |
Designs map to production code — component-to-code mappings or direct design-to-code output I can actually ship C Handoff | developer | Dev handoff — stories about dev handoff in this arenaDev handoff | 2 | fullfree | 8/10 | Cclaimed | |
Full version history lets me name milestones, compare, and restore any earlier state of a file C Files | designer | Versioning export — stories about versioning export in this arenaVersioning export | 2 | partial | 6/10 | Cclaimed | |
Generate or edit designs from a natural-language prompt — first drafts, layouts, or full mockups the tool actually produces C Ai | designer | Ai design — stories about ai design in this arenaAi design | 2 | partial | 6/10 | Tprobed | |
Perform bulk operations across many items at once G | ai-native user | Automation depth — how much of the product can run unattendedAutomation depth | 2 | partial | 6/10 | Cclaimed | |
Do everything through the API that I can do in the UI G | ai-native user | Openness — open source, data portability, and self-hosting storiesOpenness | 2 | partial | 5/10 | Tprobed | |
Frames can behave responsively — auto layout, constraints, and grids resize designs the way real UIs flex C Canvas | designer | Vector editing — stories about vector editing in this arenaVector editing | 2 | partial | 5/10 | Cclaimed | |
Read the product's source under an open license G | ai-native user | Openness — open source, data portability, and self-hosting storiesOpenness | 2 | partialfree | 5/10 | Xcommunity | |
Wire screens into clickable prototypes with triggers, transitions, and overlays — no code required C | designer | Prototyping — stories about prototyping in this arenaPrototyping | 2 | partial | 5/10 | Cclaimed | |
An agent can render and export designs — screenshots, images, or production formats — through a documented programmatic surface C Agent ops | ai-native user | Agent design — stories about agent design in this arenaAgent design | 2 | disputed | 4/10 | Dcontradicted | |
Comment directly on designs, mention teammates, and resolve threads so review happens in the file, not in email C Collaboration | product manager | Collaboration multiplayer — stories about collaboration multiplayer in this arenaCollaboration multiplayer | 2 | none | 0/10 | ||
Export production assets — PNG, SVG, PDF, and more — with per-layer presets, scales, and slices C Files | designer | Versioning export — stories about versioning export in this arenaVersioning export | 2 | none | 0/10 | ||
Manage design tokens or variables — colors, spacing, typography — with modes or themes applied across designs C Design systems | designer | Components design systems — stories about components design systems in this arenaComponents design systems | 2 | none | 0/10 | ||
Self-host the full design platform on my own infrastructure under an open-source license C Files | developer | Versioning export — stories about versioning export in this arenaVersioning export | 2 | none | 0/10 | ||
Shared libraries publish components and styles across files and projects, with controlled updates when the source changes C Design systems | designer | Components design systems — stories about components design systems in this arenaComponents design systems | 2 | none | 0/10 | ||
The free tier supports real design work — usable editor and collaboration without a paid seat G Pricing | designer | Pricing plans — plan structure and value — what each tier costs and what it unlocksPricing plans | 2 | none | 0/10 | ||
A documented plugin API with typings and samples lets me build and distribute my own editor extensions C Plugins | developer | Plugins extensibility — stories about plugins extensibility in this arenaPlugins extensibility | 2 | none | untested | none yet | |
Choose where my data is stored (region/residency) G | ai-native user | Privacy posture — data-handling and privacy storiesPrivacy posture | 2 | n/a | untested | none yet | |
Control data retention and deletion G | ai-native user | Privacy posture — data-handling and privacy storiesPrivacy posture | 2 | n/a | untested | none yet | |
Extend the editor from a large plugin community or marketplace — icons, data fillers, accessibility checkers, and more G Plugins | designer | Plugins extensibility — stories about plugins extensibility in this arenaPlugins extensibility | 2 | none | untested | none yet | |
Opt out of telemetry and usage tracking G | ai-native user | Privacy posture — data-handling and privacy storiesPrivacy posture | 2 | n/a | untested | none yet | |
Schedule recurring jobs or workflows G | ai-native user | Automation depth — how much of the product can run unattendedAutomation depth | 2 | n/a | untested | none yet | |
Prototypes can carry advanced behavior — animation between states, conditions or variables, scroll effects — to feel like the real product C | designer | Prototyping — stories about prototyping in this arenaPrototyping | 1 | full | 8/10 | Xcommunity | |
The file format is open or documented, so my designs stay portable and toolable outside the vendor's editor C Files | developer | Versioning export — stories about versioning export in this arenaVersioning export | 1 | disputedfree | 4/10 | Dcontradicted | |
Version, review, and roll back my automations G | ai-native user | Automation depth — how much of the product can run unattendedAutomation depth | 1 | partial | 4/10 | Cclaimed | |
Built-in AI handles asset chores — image generation, background removal, content-aware fills, copy suggestions — inside the editor C Ai | designer | Ai design — stories about ai design in this arenaAi design | 1 | none | 0/10 | ||
Published plan pricing makes seat types, tiers, and AI-feature gating clear before procurement G Pricing | product manager | Pricing plans — plan structure and value — what each tier costs and what it unlocksPricing plans | 1 | none | 0/10 |
Opportunities — the stories that would move this product's scores, from its own judged verdictsOpportunitiestop 8 of 30 stories with headroom
What would move Rive’s scores — derived from its own judged verdicts, biggest headroom first. Each line quotes what the judge found missing; shipping it (or evidencing it publicly) is the fix.
Openness — open source, data portability, and self-hosting storiesSelf-host the core product
nonemoves PA Scoreimpact 30
Rive's core product is the proprietary Editor (a SaaS/desktop app); only a subset of the runtime rendering layer is open-source (MIT), and community evidence explicitly notes the editor itself cannot be self-hosted and requires the hosted tool to author content.
Agenticness — how well agents can access and operate the productSet up automations that run autonomously in the background
nonemoves Built-in AIimpact 30
Rive's docs describe an AI agent, MCP integration, and CLI that generate animations/code when invoked by a user, but there is no evidence of scheduled, unattended, or continuously running background automations — all AI features described are user-triggered, session-based interactions within the Editor.
Agenticness — how well agents can access and operate the productSubscribe to events via webhooks
nonemoves agent-readyimpact 30
No evidence anywhere in the pack mentions webhooks, event subscriptions, or any push-notification API for Rive; the product is documented as a design/animation tool with editor, runtime, and MCP/AI-agent integrations, none of which reference webhook-based event delivery.
Agenticness — how well agents can access and operate the productExplore an interactive API reference with runnable examples
nonemoves API qualityimpact 30
While Rive has extensive documentation (runtime parameters, data binding, RML), there is no evidence of an interactive API reference with runnable/live code examples, and the OpenAPI probe returned 404s with no playground or sandbox mentioned.
Agenticness — how well agents can access and operate the productDownload a machine-readable API spec (OpenAPI or equivalent)
nonemoves API qualityimpact 30
A direct probe for OpenAPI/swagger spec endpoints (openapi.json, swagger.json, etc.) returned 404 for all candidates, and no docs mention a machine-readable API spec being downloadable.
Agenticness — how well agents can access and operate the productRely on versioned APIs with a documented deprecation policy
nonemoves API qualityimpact 30
No evidence of any versioned API scheme or documented deprecation policy for Rive's runtimes, editor APIs, or MCP integration; OpenAPI probes returned 404s and no changelog/versioning docs are cited.
Agenticness — how well agents can access and operate the productUse an official CLI
partialq3/10moves agent-readyimpact 21
Missing: dedicated CLI docs/reference, install instructions, command examples, and independent/hands-on corroboration of the CLI working.
Plugins extensibility — stories about plugins extensibility in this arenaA documented plugin API with typings and samples lets me build and distribute my own editor extensions
nonemoves PA Scoreimpact 20
No evidence of a documented editor plugin/extension API, typings, or samples for building third-party editor extensions; the evidence only covers runtimes, data binding, AI agent/MCP integration, and RML scripting, none of which document an extensibility API for building/distributing editor plugins.
Showing the top 8 of 30 — every none/partial verdict in the story verdicts table is headroom.
Think a verdict is wrong? Every verdicts-table row has a Flag link — see the methodology.
Coverage map — which docs area, API section, or community source covers which judged storiesCoverage map6 surfaces · 28 covered stories
Where the cited evidence behind each covered verdict came from — the same citations the verdicts table shows, no extra judging.
docs28 stories
- An agent can create or modify designs programmatically — through a write-capable API, plugin surface, or MCP tools — not just read them
- An agent can render and export designs — screenshots, images, or production formats — through a documented programmatic surface
- My coding agent can pull real design context — frames, variables, screenshots, component mappings — through an MCP server or API to implement the design
- Point an agent at llms.txt or agent-oriented docs
- Run the product headlessly / in CI for automation
- Plug MCP servers into this product so it can use their tools
- Connect an agent via an official MCP server
- Use an official CLI
- Drive the product through a documented public API
- Build against official SDKs
- Delegate tasks to a built-in AI assistant inside the product
- Operate the product with natural-language commands
- Generate or edit designs from a natural-language prompt — first drafts, layouts, or full mockups the tool actually produces
- Perform bulk operations across many items at once
- Define rules that trigger actions automatically on events
- Version, review, and roll back my automations
- My whole team can edit the same file simultaneously with live cursors and instant sync
- Build reusable components with variants and per-instance overrides that stay linked to their source
- Designs map to production code — component-to-code mappings or direct design-to-code output I can actually ship
- Do everything through the API that I can do in the UI
- Export all of my data in open formats and leave
- Read the product's source under an open license
- Prototypes can carry advanced behavior — animation between states, conditions or variables, scroll effects — to feel like the real product
- Wire screens into clickable prototypes with triggers, transitions, and overlays — no code required
- Frames can behave responsively — auto layout, constraints, and grids resize designs the way real UIs flex
- I get professional vector tools — pen and path editing, boolean operations, precise alignment — for real interface design work
- The file format is open or documented, so my designs stay portable and toolable outside the vendor's editor
- Full version history lets me name milestones, compare, and restore any earlier state of a file
GitHub README9 stories
- An agent can render and export designs — screenshots, images, or production formats — through a documented programmatic surface
- Run the product headlessly / in CI for automation
- Drive the product through a documented public API
- Build against official SDKs
- Designs map to production code — component-to-code mappings or direct design-to-code output I can actually ship
- Do everything through the API that I can do in the UI
- Export all of my data in open formats and leave
- Read the product's source under an open license
- The file format is open or documented, so my designs stay portable and toolable outside the vendor's editor
rive.app7 stories
- An agent can create or modify designs programmatically — through a write-capable API, plugin surface, or MCP tools — not just read them
- Run the product headlessly / in CI for automation
- Use an official CLI
- Delegate tasks to a built-in AI assistant inside the product
- Operate the product with natural-language commands
- Generate or edit designs from a natural-language prompt — first drafts, layouts, or full mockups the tool actually produces
- Frames can behave responsively — auto layout, constraints, and grids resize designs the way real UIs flex
Hacker News6 stories
- An agent can render and export designs — screenshots, images, or production formats — through a documented programmatic surface
- Export all of my data in open formats and leave
- Read the product's source under an open license
- Prototypes can carry advanced behavior — animation between states, conditions or variables, scroll effects — to feel like the real product
- I get professional vector tools — pen and path editing, boolean operations, precise alignment — for real interface design work
- The file format is open or documented, so my designs stay portable and toolable outside the vendor's editor
Probe proofs — replayable recordings from the probe harnessProbe proofs
Replayable recordings from our probe harness — see the Prove-It protocol to submit one.
$curl -sL https://rive.app/docs/llms.txt | head -3reproduced$ curl -sL https://rive.app/docs/llms.txt | head -3 # Rive - [Introduction](https://rive.app/docs/getting-started/introduction.md): Rive is where designers, animators, and developers build interactive experiences. Design, animate, and code in one place. What you build in the editor is what ships in your app, game, or website. No mockups, no prototypes, no handoff. The real thing.
$curl -sL https://rive.app/docs/editor/ai/mcp.md | grep -iE 'MCP|state machine' | head -5reproduced$ curl -sL https://rive.app/docs/editor/ai/mcp.md | grep -iE 'MCP|state machine' | head -5 # Rive MCP Integration MCP integration is currently available only in the desktop Editor for Windows and macOS. You can connect the Rive Editor to AI tools through MCP (Model Context Protocol). The first set of tools are designed to let AI handle repetitive tasks, like creating complex View Models, State Machines with hundreds of states/layers, Layouts, Shapes, and more. * **Create animation and interaction** — edit linear animations, state machines, states, transitions, conditions, [redacted]frames, and interpolation. <Step title="Add custom MCP">
Claims vs evidence — vendor claims reconciled against independent verdictsClaims vs evidence
5 of 16 testable claims verified · 3 contradicted → integrity 0/100
21 distinct capability claims found in Rive’s own claimed-docs/GitHub materials, reconciled against our judge’s independent verdicts.
5
Verified
8
Unverified
3
Contradicted
11
Undersold
Verified (6)
“Animate designs with timelines, keyframes, and smooth interpolation”
Prototypes can carry advanced behavior — animation between states, conditions or variables, scroll effects — to feel like the real productfullproof ↗
“Build interactive experiences that react to user input, screen size, scrolling, and app state”
Prototypes can carry advanced behavior — animation between states, conditions or variables, scroll effects — to feel like the real productfullproof ↗
“Built-in AI agent writes code, designs layouts, and generates animation”
Generate or edit designs from a natural-language prompt — first drafts, layouts, or full mockups the tool actually producespartialproof ↗
“Rive Markup Language (RML) lets you create/modify Rive files as text/code, enabling agent-driven workflows”
An agent can create or modify designs programmatically — through a write-capable API, plugin surface, or MCP tools — not just read themfullproof ↗
“Connect the Rive Editor to AI tools via MCP”
Plug MCP servers into this product so it can use their toolsfullproof ↗
“Rive runtimes are open-source libraries for loading and controlling animations in apps”
Read the product's source under an open licensepartialproof ↗
Unverified (8)
“Build layouts that respond and resize responsively”
Frames can behave responsively — auto layout, constraints, and grids resize designs the way real UIs flexpartialproof ↗
“Create reusable components; instances stay linked and update when the source changes”
Build reusable components with variants and per-instance overrides that stay linked to their sourcefullproof ↗
“Built-in AI agent writes code, designs layouts, and generates animation”
Delegate tasks to a built-in AI assistant inside the productfullproof ↗
“Auto-saves work continuously and tracks all changes across collaborators”
My whole team can edit the same file simultaneously with live cursors and instant syncpartialproof ↗
“Non-destructive revision history lets you restore any previous file version”
Full version history lets me name milestones, compare, and restore any earlier state of a filepartialproof ↗
“Design, animate, and code in one place — what you build ships directly with no separate handoff step”
Designs map to production code — component-to-code mappings or direct design-to-code output I can actually shipfullproof ↗
“Runtime library loads .riv files, advances state machines/animations, and renders via an abstract renderer interface”
“Build interactive UI/motion/game experiences in the Editor or generate them via an agent using the CLI”
Contradicted (3)
“Create vector graphics and interface art directly in the editor”
I get professional vector tools — pen and path editing, boolean operations, precise alignment — for real interface design workdisputedproof ↗
“Export a single file and run it across web, mobile, game engines, and other platforms”
The file format is open or documented, so my designs stay portable and toolable outside the vendor's editordisputedproof ↗
“AI automates repetitive tasks like building complex state machines, view models, and layouts”
Built-in AI handles asset chores — image generation, background removal, content-aware fills, copy suggestions — inside the editornoneproof ↗
Undersold (11)
My coding agent can pull real design context — frames, variables, screenshots, component mappings — through an MCP server or API to implement the designpartialproof ↗
Point an agent at llms.txt or agent-oriented docsfullproof ↗
Run the product headlessly / in CI for automationpartialproof ↗
Drive the product through a documented public APIfullproof ↗
Operate the product with natural-language commandspartialproof ↗
Perform bulk operations across many items at oncepartialproof ↗
Define rules that trigger actions automatically on eventspartialproof ↗
Do everything through the API that I can do in the UIpartialproof ↗
Wire screens into clickable prototypes with triggers, transitions, and overlays — no code requiredpartialproof ↗
Claims outside our story set (5)
Real capability claims found in Rive’s own materials, but no story in this arena’s taxonomy covers them yet — that’s feedback on the taxonomy, not a mark against the product.
“Import images, audio, fonts, and other assets from external design tools”
source ↗“Bind animation properties (position, color, layout) to real-time data with two-way sync”
source ↗“Use scripting to create custom procedural animations and behaviors beyond built-in tools”
source ↗“Cache a loaded .riv file in memory for reuse across multiple instances”
source ↗“Built-in GPU renderer supports Metal, Vulkan, D3D11, D3D12, and OpenGL/WebGL backends”
source ↗
Business model
Free plan for learning (3 collaborative files); per-seat Cadet ($17/mo) and Voyager ($39/mo) tiers unlock runtime exports and Libraries; Enterprise at $1,440/seat/year.
pricing ↗Score trend
How this product’s scores have moved as evidence and verdicts are re-derived — a point per change, not per day.
Try Experimental
Run it in the microterminal →Recorded agent sessions — and a live MCP handshake where the vendor ships one.
Flag
⚑ Flag a verdictThink a verdict is wrong? Opens a prefilled GitHub issue — or use the ⚑ next to any verdict above.
For agents
