{"passport":{"unfragile":{"@version":"1.0","version":"2026-05","artifact":{"id":"runway-ml","slug":"runway-ml","name":"Runway ML","type":"product","url":"https://runwayml.com","page_url":"https://unfragile.ai/runway-ml","categories":["video-generation"],"tags":[],"pricing":{"model":"freemium","free":true,"starting_price":"$12/mo"},"status":"active","verified":false},"capabilities":[{"id":"runway-ml__cap_0","uri":"capability://image.visual.text.to.video.generation.with.diffusion.based.synthesis","name":"text-to-video generation with diffusion-based synthesis","description":"Generates video sequences from natural language text prompts using Gen-4.5 diffusion models running asynchronously in Runway's cloud infrastructure. The system accepts free-form text descriptions and outputs video files through a credit-metered consumption model (625 credits/month on Standard tier = ~25 seconds of video). Processing occurs server-side with no local inference capability, returning completed videos to the web editor or via API after variable latency (specific timing unknown).","intents":["I want to generate a 10-second video clip from a text description without filming or animation","I need to rapidly prototype video concepts for storyboarding before production","I want to create background footage or B-roll from text prompts for content assembly"],"best_for":["content creators and filmmakers prototyping video ideas quickly","marketing teams generating product demo videos from briefs","indie creators with limited budgets for traditional video production"],"limitations":["Async processing with unknown latency (likely minutes to hours per generation)","Hard credit ceiling: Standard tier limited to ~25 seconds of Gen-4.5 video per month","No deterministic output or seed control mentioned; reproducibility unknown","Maximum video length per generation unknown; long-form narratives require manual stitching","Prompt engineering required; quality highly dependent on text description specificity"],"requires":["Runway account (free tier provides 125 one-time credits; Standard tier $12/month for 625 credits)","Text prompt describing desired video content","Sufficient credits in account (Gen-4.5 costs 25 credits per 25 seconds of output)"],"input_types":["text (natural language prompt, 1-500 characters estimated)","optional parameters (aspect ratio, duration, style guidance unknown)"],"output_types":["video file (format/codec unknown; likely MP4 or WebM)","resolution and frame rate unknown"],"categories":["image-visual","generative-ai"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"runway-ml__cap_1","uri":"capability://image.visual.image.to.video.synthesis.with.motion.generation","name":"image-to-video synthesis with motion generation","description":"Converts static images into video sequences by applying learned motion patterns and temporal coherence through Gen-4 or Gen-4 Turbo diffusion models. Users upload an image and optionally provide a text prompt to guide motion direction and style. The system generates video frames that maintain visual consistency with the source image while introducing realistic motion, processed asynchronously in Runway's cloud infrastructure with credit consumption (Gen-4 Turbo costs fewer credits than Gen-4.5 text-to-video).","intents":["I want to animate a static product photo or portrait into a short video clip","I need to create parallax or camera-movement effects from a single image without manual keyframing","I want to generate video variations from existing artwork or photography for content reuse"],"best_for":["e-commerce teams creating product demo videos from catalog images","social media creators repurposing static assets into video content","visual effects artists using AI as a starting point for manual refinement"],"limitations":["Motion patterns are learned from training data; user control over motion direction is indirect (via text prompt only, no frame-level keyframing)","Image quality and composition directly impact output; poorly composed source images degrade results","No multi-image sequencing mentioned; cannot stitch multiple images into coherent narrative","Temporal coherence limited to unknown duration; very long videos likely require manual stitching","Face/human motion quality unknown; potential for uncanny valley artifacts"],"requires":["Runway account with sufficient credits (Gen-4 Turbo cheaper than Gen-4.5; exact cost unknown)","Source image file (format: JPEG, PNG, WebP estimated; dimensions/aspect ratio constraints unknown)","Optional text prompt to guide motion (if omitted, system generates default motion)"],"input_types":["image file (static image, resolution unknown)","text prompt (optional, describing desired motion or style)"],"output_types":["video file (format/codec/resolution unknown)","duration typically 5-30 seconds (exact limits unknown)"],"categories":["image-visual","generative-ai"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"runway-ml__cap_10","uri":"capability://image.visual.aleph.video.editor.with.integrated.generative.tools","name":"aleph video editor with integrated generative tools","description":"Runway's built-in web-based video editor providing timeline-based editing with integrated access to generative capabilities (text-to-video, inpainting, motion brush, background removal, upscaling). The editor operates as a unified interface combining traditional video editing workflows with AI-powered content generation, allowing users to compose, edit, and enhance videos without context-switching to external tools. Available on Standard tier and above.","intents":["I want to edit video and apply AI effects in a single interface without exporting between tools","I need to compose generated video clips with traditional editing and effects","I want to iterate on video content using both manual editing and generative AI"],"best_for":["content creators and filmmakers integrating AI generation into editing workflows","video editors seeking unified interface for traditional and generative editing","teams collaborating on video projects with shared asset libraries"],"limitations":["Web-based editor may have performance limitations compared to desktop applications (Premiere, Final Cut)","Compatibility with external plugins, codecs, or color grading tools unknown","Export format and codec options unknown","Collaboration and multi-user editing capabilities unknown","Undo/redo depth and history management unknown","Keyboard shortcuts and customization options unknown","Integration with external asset libraries or stock footage unknown"],"requires":["Runway Standard tier or higher ($12/month minimum)","Web browser with WebGL or similar 3D rendering support","Video files to edit (format/codec support unknown)"],"input_types":["video files (format/codec support unknown)","images (for image-to-video or compositing)","text prompts (for generative operations)"],"output_types":["edited video file (format/codec/resolution unknown)","project file (format unknown; likely Runway-proprietary)"],"categories":["image-visual","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"runway-ml__cap_11","uri":"capability://automation.workflow.workflow.automation.and.multi.step.operation.composition","name":"workflow automation and multi-step operation composition","description":"Enables users to define and execute multi-step workflows combining multiple generative and editing operations without manual intervention. Available on Standard tier and above, workflows allow chaining operations (e.g., text-to-video → inpainting → upscaling → watermark removal) with parameter passing between steps. Implementation details unknown, but likely uses a visual workflow builder or scripting language to define operation sequences.","intents":["I want to automate repetitive video editing tasks by chaining multiple operations","I need to apply consistent processing pipelines to multiple videos without manual intervention","I want to define reusable templates for common video generation and editing workflows"],"best_for":["content creators processing large volumes of videos with consistent workflows","teams standardizing video production pipelines across projects","developers building custom video processing applications on Runway"],"limitations":["Workflow language/syntax unknown; may be visual builder or code-based","Conditional logic and branching support unknown","Error handling and retry mechanisms unknown","Workflow complexity limits unknown (maximum steps, nesting depth, etc.)","Debugging and monitoring capabilities unknown","Workflow sharing and version control unknown","Batch processing limits unknown; may not support large-scale automation"],"requires":["Runway Standard tier or higher ($12/month minimum)","Workflow definition (visual builder or code, format unknown)","Input videos or prompts for workflow execution","Sufficient credits for all workflow steps"],"input_types":["workflow definition (format unknown)","input videos, images, or text prompts"],"output_types":["processed video files","workflow execution logs (format unknown)"],"categories":["automation-workflow","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"runway-ml__cap_12","uri":"capability://text.generation.language.text.to.speech.synthesis.with.custom.voice.training","name":"text-to-speech synthesis with custom voice training","description":"Generates spoken audio from text using neural text-to-speech models, with optional custom voice training available on Pro tier and above. Users provide text and select a voice (pre-trained or custom), and the system generates synchronized audio suitable for video voiceovers or avatar lip-sync. Custom voice training allows users to create personalized voices by providing audio samples, enabling branded or character-specific speech synthesis.","intents":["I want to generate voiceovers for videos without recording or hiring voice actors","I need to create custom voices for branded content or character-driven narratives","I want to synchronize speech with video avatars or animated characters"],"best_for":["content creators generating voiceovers for video content","marketing teams creating branded voice experiences","conversational AI developers adding voice to chatbots and avatars","accessibility teams creating audio descriptions for video content"],"limitations":["Pre-trained voice quality and naturalness unknown","Custom voice training requirements unknown (number of samples, duration, quality)","Custom voice training time and cost unknown","Emotion, tone, and prosody control unknown; may be limited to basic parameters","Language support unknown; likely limited to major languages","Audio quality and sample rate unknown","Lip-sync accuracy with video avatars unknown"],"requires":["Runway account (text-to-speech available on all tiers; custom voices require Pro tier or higher)","Text to synthesize","Voice selection (pre-trained or custom)","For custom voices: audio samples of desired voice (format/duration unknown)"],"input_types":["text (speech content to synthesize)","voice selection (pre-trained voice ID or custom voice name)","optional audio samples (for custom voice training)"],"output_types":["audio file (format/codec/sample rate unknown)","duration matches text length (reading speed unknown)"],"categories":["text-generation-language","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"runway-ml__cap_13","uri":"capability://automation.workflow.credit.metered.consumption.model.with.tiered.access","name":"credit-metered consumption model with tiered access","description":"Runway implements a proprietary credit-based consumption system where each generative operation consumes a fixed number of credits based on output length, model, and quality tier. Users purchase monthly credit allowances (Free: 125 one-time, Standard: 625/month, Pro: 2,250/month, Unlimited: 2,250/month + relaxed-rate exploration) that are consumed per operation. Credits do not roll over, and the system enforces hard limits on monthly usage, creating a predictable cost model but also usage ceilings.","intents":["I want to understand and predict the cost of using Runway for video generation and editing","I need to manage my video generation budget and track credit consumption","I want to choose the right tier based on my expected monthly video output"],"best_for":["individual creators and small teams with predictable monthly video generation needs","organizations seeking transparent, metered pricing without per-API-call surprises","budget-conscious teams evaluating cost-per-minute of video generation"],"limitations":["Credits do not roll over; unused credits expire at month end","Hard monthly ceiling creates artificial usage limits; exceeding requires tier upgrade","Credit cost per operation not transparent in UI; requires calculation from pricing page","No mention of credit gifting, sharing, or team pooling","Unlimited tier still limited to 2,250 credits/month for standard quality; 'relaxed rate' quality/latency unknown","No mention of credit refunds or adjustments for failed operations","Enterprise tier pricing not transparent; requires sales contact"],"requires":["Runway account with payment method on file","Selection of tier based on monthly credit needs","Understanding of credit costs per operation (Gen-4.5: 25 credits per 25 seconds)"],"input_types":["tier selection (Free, Standard, Pro, Unlimited, Enterprise)","monthly budget or expected video output"],"output_types":["credit allowance (monthly or one-time)","usage tracking and billing statements"],"categories":["automation-workflow","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"runway-ml__cap_14","uri":"capability://automation.workflow.multi.project.workspace.management.with.asset.organization","name":"multi-project workspace management with asset organization","description":"Provides project-based organization of video generation and editing work, with separate asset storage and collaboration spaces per project. Free tier allows 3 projects; Standard and higher tiers allow unlimited projects. Each project includes asset storage (5GB free, 100GB standard, 500GB pro) for organizing source materials, generated videos, and project files. Implementation details unknown, but likely uses cloud storage with project-level access controls.","intents":["I want to organize multiple video projects without mixing assets and work","I need to manage asset storage across different clients or campaigns","I want to share projects with team members while maintaining access control"],"best_for":["teams managing multiple concurrent video projects","agencies handling multiple client projects with separate asset libraries","content creators organizing videos by series, campaign, or client"],"limitations":["Project collaboration and sharing capabilities unknown","Asset versioning and history unknown","Storage quota enforcement and overage handling unknown","Project archival or deletion policies unknown","Cross-project asset sharing or linking unknown","Project-level permissions and role-based access control unknown"],"requires":["Runway account (Free tier: 3 projects; Standard+: unlimited)","Project creation and naming","Asset upload and organization"],"input_types":["project name and description","asset files (videos, images, audio)"],"output_types":["project workspace with organized assets","project-level access controls and sharing links"],"categories":["automation-workflow","memory-knowledge"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"runway-ml__cap_2","uri":"capability://image.visual.motion.brush.directional.control.for.video.editing","name":"motion brush directional control for video editing","description":"Allows users to paint directional strokes onto video frames to guide and control the direction and intensity of motion in generated or edited video sequences. Users draw strokes (up, down, left, right, circular, etc.) on specific regions of a video, and the system interprets these as motion vectors that influence how the generative model synthesizes movement in those areas. Implementation details unknown, but likely uses stroke-to-vector conversion and spatial masking to localize motion control.","intents":["I want to make a specific object or character move in a particular direction without regenerating the entire video","I need to add subtle camera pan or object motion to a static or partially-generated video","I want to control which parts of a scene move and which remain static"],"best_for":["video editors and VFX artists refining motion in generated content","content creators adding subtle motion effects without manual keyframing","filmmakers iterating on motion direction during post-production"],"limitations":["Mechanism for converting strokes to motion vectors unknown; precision and responsiveness unclear","No mention of stroke history, undo depth, or multi-stroke composition","Effectiveness likely depends on underlying video content and motion plausibility","Frame-level precision unknown; may only work at keyframe intervals","No mention of motion intensity/magnitude control; stroke thickness may not map to motion speed"],"requires":["Runway Standard tier or higher ($12/month minimum) to access motion brush feature","Video file loaded in Aleph editor (Runway's built-in video editor)","Credits available for re-generation if motion brush triggers new synthesis pass"],"input_types":["video file (source video to apply motion brush to)","directional strokes (user-drawn paths on video frames indicating motion direction)"],"output_types":["modified video file with motion applied to brushed regions","format/codec same as input (unknown specifics)"],"categories":["image-visual","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"runway-ml__cap_3","uri":"capability://image.visual.inpainting.and.region.based.video.editing","name":"inpainting and region-based video editing","description":"Enables selective editing of video regions by masking areas and providing text prompts describing desired changes. Users define a region (inpaint mask) in a video frame and supply a text description of what should appear in that region, and the generative model synthesizes new content within the masked area while preserving the surrounding context. Processing is asynchronous and credit-metered, with implementation details (mask propagation across frames, temporal consistency mechanisms) unknown.","intents":["I want to remove or replace an object in a video without manual frame-by-frame rotoscoping","I need to change the background of a video while keeping the foreground subject intact","I want to add or modify text, logos, or other elements in specific video regions"],"best_for":["video editors performing object removal or replacement in post-production","content creators fixing continuity issues or unwanted elements in footage","VFX artists using AI as a starting point for manual refinement"],"limitations":["Mask propagation across video frames unknown; may require per-frame masking or automatic tracking","Temporal consistency of inpainted regions unknown; potential for flickering or discontinuity across frames","Quality depends on surrounding context; complex backgrounds or multiple objects may degrade results","No mention of mask feathering, edge blending, or anti-aliasing controls","Inpainted content must be plausible given surrounding context; cannot generate arbitrary content"],"requires":["Runway Standard tier or higher ($12/month minimum)","Video file loaded in Aleph editor","Mask definition tool (brush, selection, or automatic detection unknown)","Text prompt describing desired inpainted content","Credits available for inpainting operation (cost unknown)"],"input_types":["video file (source video to inpaint)","mask region (user-defined or auto-detected area to edit)","text prompt (description of desired content in masked region)"],"output_types":["video file with inpainted regions","format/codec/resolution same as input (unknown specifics)"],"categories":["image-visual","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"runway-ml__cap_4","uri":"capability://image.visual.background.removal.and.transparent.video.generation","name":"background removal and transparent video generation","description":"Automatically detects and removes video backgrounds, generating videos with transparent or alpha-channel backgrounds suitable for compositing. The system analyzes video frames to identify foreground subjects (people, objects) and separates them from background elements, outputting video with transparency information. Available on Standard tier and above, suggesting use of semantic segmentation or matting models running on Runway's infrastructure.","intents":["I want to remove the background from a video for compositing over custom backgrounds","I need to create a transparent video of a person or product for use in presentations or marketing","I want to isolate a subject from its background without manual rotoscoping"],"best_for":["video editors and motion graphics artists compositing videos over custom backgrounds","e-commerce teams creating product videos with transparent backgrounds","content creators removing distracting backgrounds from recorded videos"],"limitations":["Foreground/background detection quality depends on contrast and subject clarity; poor lighting degrades results","No mention of edge refinement, feathering, or anti-aliasing controls","Transparency handling in output format unknown (PNG sequence, ProRes with alpha, etc.)","Hair, fur, and fine details likely have degraded edge quality (common limitation of matting algorithms)","No mention of per-frame adjustment or manual refinement tools"],"requires":["Runway Standard tier or higher ($12/month minimum)","Video file with clear foreground/background separation","Output format supporting transparency (PNG sequence, MOV with alpha, WebM with alpha, etc.)"],"input_types":["video file (source video with background to remove)"],"output_types":["video file with alpha channel/transparency","format unknown (likely PNG sequence or ProRes with alpha)"],"categories":["image-visual","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"runway-ml__cap_5","uri":"capability://image.visual.watermark.removal.and.video.cleanup","name":"watermark removal and video cleanup","description":"Removes watermarks, logos, and other unwanted visual elements from video frames using inpainting-like techniques. Available on Standard tier and above, this feature uses generative models to synthesize replacement content that blends seamlessly with surrounding video context. Implementation likely similar to inpainting but with automatic watermark detection rather than manual masking.","intents":["I want to remove a watermark or logo from video footage I have rights to edit","I need to clean up video artifacts or unwanted visual elements before compositing","I want to remove branding from stock footage for repurposing"],"best_for":["video editors removing watermarks from licensed or owned footage","content creators cleaning up video artifacts before post-production","filmmakers removing unwanted elements from location footage"],"limitations":["Watermark detection mechanism unknown; may require manual selection or automatic detection","Removal quality depends on background complexity; complex or textured backgrounds degrade results","Temporal consistency across frames unknown; potential for flickering or discontinuity","Large or complex watermarks may leave visible artifacts or blending seams","No mention of batch processing or automated watermark detection across multiple videos"],"requires":["Runway Standard tier or higher ($12/month minimum)","Video file with watermark or unwanted element","Credits available for watermark removal operation (cost unknown)"],"input_types":["video file (source video with watermark)"],"output_types":["video file with watermark removed","format/codec/resolution same as input (unknown specifics)"],"categories":["image-visual","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"runway-ml__cap_6","uri":"capability://image.visual.resolution.upscaling.and.video.enhancement","name":"resolution upscaling and video enhancement","description":"Upscales video resolution using learned super-resolution models, enhancing video quality and enabling export at higher resolutions than the source. Available on Standard tier and above, this feature processes video frames to increase resolution while maintaining or improving visual quality. Implementation likely uses diffusion-based or neural upscaling models running asynchronously on Runway's infrastructure.","intents":["I want to upscale low-resolution video to 4K for broadcast or archival","I need to enhance video quality before compositing or final export","I want to improve the resolution of generated or archived footage"],"best_for":["video editors enhancing video quality for broadcast or streaming","content creators upscaling archived or low-resolution footage","filmmakers improving generated video quality for final output"],"limitations":["Maximum upscaling factor unknown (likely 2x or 4x)","Output resolution caps unknown; may not support arbitrary target resolutions","Upscaling quality depends on source content; highly compressed or degraded video may not improve significantly","Processing time and credit cost unknown; likely scales with output resolution","No mention of per-frame adjustment or quality controls"],"requires":["Runway Standard tier or higher ($12/month minimum)","Video file to upscale","Credits available for upscaling operation (cost unknown)"],"input_types":["video file (source video at lower resolution)"],"output_types":["video file at higher resolution","format/codec same as input (unknown specifics)","maximum output resolution unknown"],"categories":["image-visual","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"runway-ml__cap_7","uri":"capability://image.visual.gwm.1.world.model.interactive.environment.generation","name":"gwm-1 world model interactive environment generation","description":"Generates explorable 3D environments and worlds from text prompts or images using Runway's proprietary GWM-1 (Generative World Model) architecture. Users describe a scene or environment, and the system generates a navigable 3D space that can be explored interactively in real-time. Implementation uses world models trained on large-scale video datasets to learn spatial and temporal dynamics, enabling real-time rendering of novel viewpoints without pre-computed 3D geometry.","intents":["I want to generate an explorable 3D environment from a text description for game prototyping or visualization","I need to create interactive world content for metaverse or immersive applications without 3D modeling","I want to explore different camera angles and viewpoints in a generated scene"],"best_for":["game developers prototyping environments without 3D modeling","metaverse and immersive media creators generating interactive worlds","architects and designers visualizing spaces before construction","researchers studying world model capabilities and spatial reasoning"],"limitations":["Real-time performance requirements unknown; latency and frame rate not specified","Hardware requirements for real-time rendering unknown (likely GPU-intensive)","Maximum environment size and complexity unknown","Photorealism and visual quality unknown; may be stylized or abstract","No mention of physics simulation, object interaction, or dynamic elements","Export format and compatibility with game engines unknown","Temporal consistency and stability during extended exploration unknown"],"requires":["Runway account (tier requirements unknown; likely Pro or higher)","Text prompt or image describing desired environment","Web browser or client application supporting real-time 3D rendering","Credits for world generation (cost unknown)"],"input_types":["text prompt (description of desired environment)","optional image (reference for environment style or composition)"],"output_types":["interactive 3D environment (real-time explorable world)","format/export options unknown"],"categories":["image-visual","planning-reasoning"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"runway-ml__cap_8","uri":"capability://image.visual.gwm.1.avatar.and.character.generation.from.single.image","name":"gwm-1 avatar and character generation from single image","description":"Generates conversational video avatars from a single image input using GWM-1 Avatars/Characters variant. Users provide a portrait or character image, and the system creates a real-time video agent capable of responding to text prompts with synchronized speech and facial expressions. Accessed via Runway Characters API, this feature enables zero-shot avatar creation without fine-tuning or training, using learned priors from large-scale video and speech datasets.","intents":["I want to create a conversational video avatar from a photo for customer service or educational applications","I need to generate a talking head video from a single image without filming or animation","I want to build a chatbot interface with a video avatar for more engaging user interaction"],"best_for":["customer service teams creating video avatars for support interactions","educational content creators generating talking head videos from photos","conversational AI developers adding video interfaces to chatbots","marketing teams creating personalized video messages at scale"],"limitations":["Avatar quality depends on source image quality and lighting; poor photos degrade results","Facial expression and emotion control unknown; may be limited to default expressions","Speech synchronization quality and latency unknown","No mention of custom voice training or voice cloning at lower tiers","Real-time performance requirements and hardware dependencies unknown","Avatar personality and behavior customization unknown; may be limited to text-to-speech","Multi-character interaction not mentioned; appears to support single avatar only","Runway Characters API rate limits, response time, and pricing unknown"],"requires":["Runway account with API access (tier requirements unknown)","Runway Characters API key and endpoint","Source image (portrait or character photo, dimensions/format unknown)","Text input for avatar speech (via API or web interface)","Credits for avatar generation (cost unknown)"],"input_types":["image file (portrait or character photo)","text prompt (speech content for avatar to speak)"],"output_types":["video stream (real-time or pre-rendered video of speaking avatar)","format/codec/resolution unknown"],"categories":["image-visual","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"runway-ml__cap_9","uri":"capability://image.visual.gwm.1.robotics.simulation.and.physical.interaction.prediction","name":"gwm-1 robotics simulation and physical interaction prediction","description":"Simulates robotic behavior and physical interactions using GWM-1 Robotics variant, enabling prediction of how robots will interact with environments and objects. Users define a robot, environment, and task, and the system generates video predictions of robotic motion and physical outcomes. Implementation uses world models trained on robotic video datasets to learn physics-aware dynamics, enabling zero-shot prediction without explicit physics simulation.","intents":["I want to simulate robotic behavior and predict task outcomes before physical deployment","I need to generate training data for robotic learning systems without expensive real-world experiments","I want to validate robot designs and control policies in simulation before hardware testing"],"best_for":["robotics researchers validating control policies and behavior predictions","robotics engineers simulating robot designs before hardware fabrication","autonomous systems teams generating synthetic training data for learning algorithms","manufacturing teams optimizing robotic workflows and task planning"],"limitations":["Physics accuracy and realism unknown; may be insufficient for precise engineering validation","Robot morphology and environment complexity limits unknown","Simulation fidelity compared to real-world outcomes unknown; sim-to-real gap not addressed","No mention of physics parameters, friction, or material properties control","Integration with robotics frameworks (ROS, Gazebo, etc.) unknown","Determinism and reproducibility unknown; may not support seed-based consistency","Real-time performance and latency unknown"],"requires":["Runway account with GWM-1 Robotics access (tier requirements unknown)","Robot specification (morphology, kinematics, control parameters unknown)","Environment description (objects, surfaces, constraints unknown)","Task definition (goal, constraints, success criteria unknown)","Credits for simulation (cost unknown)"],"input_types":["robot specification (format/schema unknown)","environment description (format/schema unknown)","task definition (format/schema unknown)"],"output_types":["video prediction of robotic behavior","format/codec/resolution unknown"],"categories":["image-visual","planning-reasoning"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"runway-ml__headline","uri":"capability://image.visual.ai.powered.video.generation.suite","name":"ai-powered video generation suite","description":"Runway ML is a pioneering AI creative suite that enables users to generate high-quality videos from text and image prompts, along with a variety of advanced editing tools tailored for filmmakers and content creators.","intents":["best AI video generator","AI tools for video editing","video creation software for filmmakers","how to generate videos from text","top platforms for AI video production"],"best_for":["professional filmmakers","content creators"],"limitations":["requires internet access","may have performance limits on free tier"],"requires":["text or image prompts"],"input_types":["text prompts","image prompts","video files"],"output_types":["generated videos","edited videos"],"categories":["image-visual"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":54,"verified":false,"data_access_risk":"low","permissions":["Runway account (free tier provides 125 one-time credits; Standard tier $12/month for 625 credits)","Text prompt describing desired video content","Sufficient credits in account (Gen-4.5 costs 25 credits per 25 seconds of output)","Runway account with sufficient credits (Gen-4 Turbo cheaper than Gen-4.5; exact cost unknown)","Source image file (format: JPEG, PNG, WebP estimated; dimensions/aspect ratio constraints unknown)","Optional text prompt to guide motion (if omitted, system generates default motion)","Runway Standard tier or higher ($12/month minimum)","Web browser with WebGL or similar 3D rendering support","Video files to edit (format/codec support unknown)","Workflow definition (visual builder or code, format unknown)"],"failure_modes":["Async processing with unknown latency (likely minutes to hours per generation)","Hard credit ceiling: Standard tier limited to ~25 seconds of Gen-4.5 video per month","No deterministic output or seed control mentioned; reproducibility unknown","Maximum video length per generation unknown; long-form narratives require manual stitching","Prompt engineering required; quality highly dependent on text description specificity","Motion patterns are learned from training data; user control over motion direction is indirect (via text prompt only, no frame-level keyframing)","Image quality and composition directly impact output; poorly composed source images degrade results","No multi-image sequencing mentioned; cannot stitch multiple images into coherent narrative","Temporal coherence limited to unknown duration; very long videos likely require manual stitching","Face/human motion quality unknown; potential for uncanny valley artifacts","builder identity is not verified yet","no observed match outcomes yet"],"rank_breakdown":{"adoption":0.7,"quality":0.9,"ecosystem":0.15000000000000002,"match_graph":0.25,"freshness":0.75,"weights":{"adoption":0.25,"quality":0.25,"ecosystem":0.1,"match_graph":0.35,"freshness":0.05}},"observed_outcomes":{"matches":0,"success_rate":0,"avg_confidence":0,"top_intents":[],"last_matched_at":null},"maintenance":{"status":"active","updated_at":"2026-05-24T12:16:25.061Z","last_scraped_at":null,"last_commit":null},"community":{"stars":null,"forks":null,"weekly_downloads":null,"model_downloads":null,"model_likes":null}},"distribution":{"claim_url":"https://unfragile.ai/submit?claim=runway-ml","compare_url":"https://unfragile.ai/compare?artifact=runway-ml"}},"signature":"qf3IZL1p1nWbAoQWZyCJareBtALZDWxa8f0wqJujSimyPam+o541IYT9tIJe3pCS+qEa8iyUJauLk4+o2LRnDA==","signedAt":"2026-06-22T07:55:39.847Z","signedBy":"unfragile.ai","version":1},"_links":{"self":"https://unfragile.ai/api/v1/passport/runway-ml","artifact":"https://unfragile.ai/runway-ml","verify":"https://unfragile.ai/api/v1/verify?slug=runway-ml","publicKey":"https://unfragile.ai/api/v1/trust-passport-public-key","spec":"https://unfragile.ai/trust","schema":"https://unfragile.ai/schema.json","docs":"https://unfragile.ai/docs"}}