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Rank #2 of 8 in Design & Prototyping

1.2k358/yrnpm 827k/wk

Try 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 live
recorded 2026-09-14 · exit 0 · captured verbatim by our probe harness, secrets redacted · pure-HTTP probe — ▶ run live re-runs it from our edge

Verified 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

39.1/100

Agenticness — how well agents can access and operate the productAgenticnessevidence →

How well agents can access and operate the product

43.3/100

Ai design — stories about ai design in this arenaAi designevidence →

Stories about ai design in this arena

24.0/100

Automation depth — how much of the product can run unattendedAutomation depthevidence →

How much of the product can run unattended

28.0/100

Collaboration multiplayer — stories about collaboration multiplayer in this arenaCollaboration multiplayerevidence →

Stories about collaboration multiplayer in this arena

14.4/100

Components design systems — stories about components design systems in this arenaComponents design systemsevidence →

Stories about components design systems in this arena

34.3/100

Dev handoff — stories about dev handoff in this arenaDev handoffevidence →

Stories about dev handoff in this arena

80.0/100

Openness — open source, data portability, and self-hosting storiesOpennessevidence →

Open source, data portability, and self-hosting stories

15.6/100

Plugins extensibility — stories about plugins extensibility in this arenaPlugins extensibilityevidence →

Stories about plugins extensibility in this arena

0.0/100

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

0.0/100

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

46.7/100

Vector editing — stories about vector editing in this arenaVector editingevidence →

Stories about vector editing in this arena

17.4/100

Versioning export — stories about versioning export in this arenaVersioning exportevidence →

Stories about versioning export in this arena

12.0/100

Story verdicts — every judged story with its evidenceStory verdicts

What’s free: 6 free · 0 paid · 0 enterprise · 18 not stated in evidence

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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 userAgenticness — how well agents can access and operate the productAgenticness3full8/10T

Delegate tasks to a built-in AI assistant inside the product G

Agentic features

ai-native userAgenticness — how well agents can access and operate the productAgenticness3full8/10C

Drive the product through a documented public API G

Agent access

ai-native userAgenticness — how well agents can access and operate the productAgenticness3fullfree8/10T

Plug MCP servers into this product so it can use their tools G

Agent access

ai-native userAgenticness — how well agents can access and operate the productAgenticness3full7/10T

Build against official SDKs G

Agent access

ai-native userAgenticness — how well agents can access and operate the productAgenticness2fullfree8/10C

Point an agent at llms.txt or agent-oriented docs G

Agent access

ai-native userAgenticness — how well agents can access and operate the productAgenticness2full7/10T

Operate the product with natural-language commands G

Agentic features

ai-native userAgenticness — how well agents can access and operate the productAgenticness2partial6/10T

Run the product headlessly / in CI for automation G

Agent access

ai-native userAgenticness — how well agents can access and operate the productAgenticness2partialfree4/10C

Use an official CLI G

Agent access

ai-native userAgenticness — how well agents can access and operate the productAgenticness2partial3/10C

Download a machine-readable API spec (OpenAPI or equivalent) G

Api quality

ai-native userAgenticness — how well agents can access and operate the productAgenticness2none0/10

Explore an interactive API reference with runnable examples G

Api quality

ai-native userAgenticness — how well agents can access and operate the productAgenticness2none0/10

Rely on versioned APIs with a documented deprecation policy G

Api quality

ai-native userAgenticness — how well agents can access and operate the productAgenticness2none0/10

Set up automations that run autonomously in the background G

Agentic features

ai-native userAgenticness — how well agents can access and operate the productAgenticness2none0/10

Get AI-generated insights and suggestions from my data inside the product G

Agentic features

ai-native userAgenticness — how well agents can access and operate the productAgenticness2n/auntestednone yet

Issue scoped/least-privilege API credentials for an agent G

Agent access

ai-native userAgenticness — how well agents can access and operate the productAgenticness2n/auntestednone yet

Subscribe to events via webhooks G

Agent access

ai-native userAgenticness — how well agents can access and operate the productAgenticness2noneuntestednone yet

Test against a sandbox environment without touching production data G

Api quality

ai-native userAgenticness — how well agents can access and operate the productAgenticness1n/auntestednone yet

Build reusable components with variants and per-instance overrides that stay linked to their source C

Design systems

designerComponents design systems — stories about components design systems in this arenaComponents design systems3full8/10C

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 userAgent design — stories about agent design in this arenaAgent design3partial5/10T

Define rules that trigger actions automatically on events G

ai-native userAutomation depth — how much of the product can run unattendedAutomation depth3partial4/10C

Export all of my data in open formats and leave G

ai-native userOpenness — open source, data portability, and self-hosting storiesOpenness3disputed4/10D

My whole team can edit the same file simultaneously with live cursors and instant sync C

Collaboration

designerCollaboration multiplayer — stories about collaboration multiplayer in this arenaCollaboration multiplayer3partial4/10C

I get professional vector tools — pen and path editing, boolean operations, precise alignment — for real interface design work C

Canvas

designerVector editing — stories about vector editing in this arenaVector editing3disputed3/10D

Self-host the core product G

ai-native userOpenness — open source, data portability, and self-hosting storiesOpenness3none0/10

Inspect any layer and get measurements, styles, assets, and code snippets (CSS/iOS/Android) without an editor seat G

Handoff

developerDev handoff — stories about dev handoff in this arenaDev handoff3n/auntestednone yet

Prevent my data from being used to train AI models G

ai-native userPrivacy posture — data-handling and privacy storiesPrivacy posture3n/auntestednone 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 userAgent design — stories about agent design in this arenaAgent design2full8/10T

Designs map to production code — component-to-code mappings or direct design-to-code output I can actually ship C

Handoff

developerDev handoff — stories about dev handoff in this arenaDev handoff2fullfree8/10C

Full version history lets me name milestones, compare, and restore any earlier state of a file C

Files

designerVersioning export — stories about versioning export in this arenaVersioning export2partial6/10C

Generate or edit designs from a natural-language prompt — first drafts, layouts, or full mockups the tool actually produces C

Ai

designerAi design — stories about ai design in this arenaAi design2partial6/10T

Perform bulk operations across many items at once G

ai-native userAutomation depth — how much of the product can run unattendedAutomation depth2partial6/10C

Do everything through the API that I can do in the UI G

ai-native userOpenness — open source, data portability, and self-hosting storiesOpenness2partial5/10T

Frames can behave responsively — auto layout, constraints, and grids resize designs the way real UIs flex C

Canvas

designerVector editing — stories about vector editing in this arenaVector editing2partial5/10C

Read the product's source under an open license G

ai-native userOpenness — open source, data portability, and self-hosting storiesOpenness2partialfree5/10X

Wire screens into clickable prototypes with triggers, transitions, and overlays — no code required C

designerPrototyping — stories about prototyping in this arenaPrototyping2partial5/10C

An agent can render and export designs — screenshots, images, or production formats — through a documented programmatic surface C

Agent ops

ai-native userAgent design — stories about agent design in this arenaAgent design2disputed4/10D

Comment directly on designs, mention teammates, and resolve threads so review happens in the file, not in email C

Collaboration

product managerCollaboration multiplayer — stories about collaboration multiplayer in this arenaCollaboration multiplayer2none0/10

Export production assets — PNG, SVG, PDF, and more — with per-layer presets, scales, and slices C

Files

designerVersioning export — stories about versioning export in this arenaVersioning export2none0/10

Manage design tokens or variables — colors, spacing, typography — with modes or themes applied across designs C

Design systems

designerComponents design systems — stories about components design systems in this arenaComponents design systems2none0/10

Self-host the full design platform on my own infrastructure under an open-source license C

Files

developerVersioning export — stories about versioning export in this arenaVersioning export2none0/10

Shared libraries publish components and styles across files and projects, with controlled updates when the source changes C

Design systems

designerComponents design systems — stories about components design systems in this arenaComponents design systems2none0/10

The free tier supports real design work — usable editor and collaboration without a paid seat G

Pricing

designerPricing plans — plan structure and value — what each tier costs and what it unlocksPricing plans2none0/10

A documented plugin API with typings and samples lets me build and distribute my own editor extensions C

Plugins

developerPlugins extensibility — stories about plugins extensibility in this arenaPlugins extensibility2noneuntestednone yet

Choose where my data is stored (region/residency) G

ai-native userPrivacy posture — data-handling and privacy storiesPrivacy posture2n/auntestednone yet

Control data retention and deletion G

ai-native userPrivacy posture — data-handling and privacy storiesPrivacy posture2n/auntestednone yet

Extend the editor from a large plugin community or marketplace — icons, data fillers, accessibility checkers, and more G

Plugins

designerPlugins extensibility — stories about plugins extensibility in this arenaPlugins extensibility2noneuntestednone yet

Opt out of telemetry and usage tracking G

ai-native userPrivacy posture — data-handling and privacy storiesPrivacy posture2n/auntestednone yet

Schedule recurring jobs or workflows G

ai-native userAutomation depth — how much of the product can run unattendedAutomation depth2n/auntestednone yet

Prototypes can carry advanced behavior — animation between states, conditions or variables, scroll effects — to feel like the real product C

designerPrototyping — stories about prototyping in this arenaPrototyping1full8/10X

The file format is open or documented, so my designs stay portable and toolable outside the vendor's editor C

Files

developerVersioning export — stories about versioning export in this arenaVersioning export1disputedfree4/10D

Version, review, and roll back my automations G

ai-native userAutomation depth — how much of the product can run unattendedAutomation depth1partial4/10C

Built-in AI handles asset chores — image generation, background removal, content-aware fills, copy suggestions — inside the editor C

Ai

designerAi design — stories about ai design in this arenaAi design1none0/10

Published plan pricing makes seat types, tiers, and AI-feature gating clear before procurement G

Pricing

product managerPricing plans — plan structure and value — what each tier costs and what it unlocksPricing plans1none0/10

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.

  1. 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.

  2. 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.

  3. 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.

  4. 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.

  5. 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.

  6. 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.

  7. 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.

  8. 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

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 contradictedintegrity 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)
Unverified (8)
Contradicted (3)
Undersold (11)
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 ↗
Suggest a story for these →

Business model

free-tiersubscription-per-seatenterprise-custom

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.

PA Score29 (Sep 14 '26)31 (Sep 16 '26)
Agent-ready47 (Sep 14 '26)57 (Sep 16 '26)

Try Experimental

Run it in the microterminal →

Recorded agent sessions — and a live MCP handshake where the vendor ships one.

Flag

⚑ Flag a verdict

Think a verdict is wrong? Opens a prefilled GitHub issue — or use the ⚑ next to any verdict above.

Badge

Embed this product's score badge →

Hotlinked SVG — always shows the live current score.

For agents

Data