{"passport":{"unfragile":{"@version":"1.0","version":"2026-05","artifact":{"id":"runway-api","slug":"runway-api","name":"Runway API","type":"api","url":"https://dev.runwayml.com","page_url":"https://unfragile.ai/runway-api","categories":["video-generation","testing-quality"],"tags":[],"pricing":{"model":"free","free":true,"starting_price":null},"status":"active","verified":false},"capabilities":[{"id":"runway-api__cap_0","uri":"capability://image.visual.text.to.video.generation.with.motion.control","name":"text-to-video generation with motion control","description":"Converts natural language prompts into video sequences using Gen-3 Alpha's diffusion-based video synthesis model. The API accepts text descriptions and optional motion parameters (camera movement, object trajectories) to guide generation, producing videos with coherent temporal consistency and physics-aware motion. Requests are queued asynchronously and polled via task IDs, enabling non-blocking video generation at scale.","intents":["Generate marketing videos from product descriptions without filming","Create animated storyboards from screenplay text for pre-visualization","Produce background footage for streaming content based on scene descriptions","Automate video asset creation for A/B testing multiple creative variations"],"best_for":["Content creators and agencies automating video production workflows","Game developers generating cinematic sequences programmatically","Marketing teams creating product demos and promotional content at scale"],"limitations":["Generation latency ranges 30-120 seconds depending on video length and complexity","Output resolution capped at 1080p; 4K generation not yet supported","Motion control parameters require structured input; free-form motion descriptions have lower fidelity","No real-time preview or iterative refinement within a single API call","Generated videos may exhibit temporal artifacts or motion discontinuities at scene transitions"],"requires":["Runway API key (obtain from dev.runwayml.com)","HTTP/REST client capable of async polling","Understanding of prompt engineering for video generation (specificity improves output quality)","Webhook endpoint or polling mechanism to handle asynchronous task completion"],"input_types":["text (natural language prompt, 10-500 characters recommended)","optional JSON object with motion parameters (camera_movement, duration_seconds)"],"output_types":["video file (MP4 format, H.264 codec)","task metadata (task_id, status, progress_percentage, estimated_completion_time)"],"categories":["image-visual","video-generation"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"runway-api__cap_1","uri":"capability://image.visual.image.to.video.synthesis.with.temporal.extension","name":"image-to-video synthesis with temporal extension","description":"Transforms static images into video sequences by predicting plausible future frames based on visual content and optional motion prompts. The API uses optical flow estimation and conditional diffusion to generate temporally coherent video continuations that respect the image's composition and lighting. Supports variable output lengths (2-30 seconds) with frame interpolation for smooth playback.","intents":["Animate still photographs or artwork into short video clips","Create video previews from product photography for e-commerce","Generate dynamic backgrounds from static design assets","Extend existing video clips by predicting and synthesizing additional frames"],"best_for":["E-commerce platforms converting product images to video content","Social media creators animating static posts into video format","Visual effects artists generating motion from reference images","Real estate and architectural visualization teams creating walkthroughs from still renders"],"limitations":["Motion prediction is conservative; dramatic or complex movements may not be synthesized","Output quality degrades with highly abstract or stylized input images","Cannot control specific motion direction without additional prompt guidance","Frame interpolation adds ~15-30% latency overhead for smooth playback","Limited to 30-second maximum output length per request"],"requires":["Runway API key","Input image in JPEG, PNG, or WebP format (max 8MB, min 512x512px)","Optional motion prompt as text string","Polling mechanism or webhook for async task completion"],"input_types":["image file (JPEG, PNG, WebP)","optional text prompt describing desired motion","optional duration parameter (2-30 seconds)"],"output_types":["video file (MP4, H.264)","task metadata with frame count and actual duration"],"categories":["image-visual","video-generation"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"runway-api__cap_2","uri":"capability://image.visual.video.to.video.style.transfer.and.editing","name":"video-to-video style transfer and editing","description":"Applies stylistic transformations, motion modifications, or content edits to existing video sequences while preserving temporal coherence and motion structure. The API uses frame-by-frame diffusion with optical flow guidance to ensure consistency across the entire video. Supports style transfer (e.g., 'anime', 'oil painting'), motion editing (speed, direction changes), and selective content replacement within specified regions.","intents":["Convert video footage to different artistic styles without re-shooting","Modify motion speed or direction in existing video clips","Apply consistent visual effects across multi-shot sequences","Replace or augment specific objects or regions in video while maintaining motion"],"best_for":["Post-production teams applying effects to existing footage","Content creators stylizing videos for brand consistency","Game developers generating alternative visual styles from gameplay footage","Archival projects converting old video to modern visual styles"],"limitations":["Processing time scales linearly with video length; 5-minute clips may require 5-10 minutes processing","Style transfer quality varies significantly based on input video resolution and motion complexity","Motion editing cannot reverse or completely invert motion direction","Selective region editing requires precise mask input; imprecise masks cause visible artifacts","Temporal consistency may degrade in high-motion or fast-cut sequences"],"requires":["Runway API key","Input video file (MP4, MOV, WebM; max 500MB, max 10 minutes)","Style description as text prompt or predefined style identifier","Optional mask or region specification for selective editing (PNG with alpha channel)"],"input_types":["video file (MP4, MOV, WebM)","text prompt describing desired style or transformation","optional PNG mask for region-specific editing","optional motion parameters (speed_multiplier, direction_angle)"],"output_types":["video file (MP4, H.264, same resolution as input)","task metadata with processing progress and estimated completion"],"categories":["image-visual","video-generation"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"runway-api__cap_3","uri":"capability://tool.use.integration.asynchronous.task.management.with.polling.and.webhooks","name":"asynchronous task management with polling and webhooks","description":"Manages long-running video generation jobs through a task queue system with multiple completion notification patterns. The API returns a task_id immediately upon request submission, allowing clients to poll status endpoints or register webhooks for push notifications. Supports task cancellation, progress tracking with percentage completion, and estimated time-to-completion calculations based on queue position and model load.","intents":["Integrate video generation into web applications without blocking user requests","Monitor generation progress and provide real-time status updates to end users","Batch process multiple video generation requests with automatic retry logic","Trigger downstream workflows (encoding, publishing, notifications) upon completion"],"best_for":["Web application developers building video generation features","Batch processing systems handling thousands of generation requests","Teams building video production pipelines with multiple processing stages","Developers requiring reliable job completion notifications"],"limitations":["Polling adds latency; webhook delivery may be delayed 5-30 seconds in high-load scenarios","Task metadata expires after 7 days; long-term job history requires external logging","No built-in retry mechanism; clients must implement exponential backoff for failed requests","Webhook delivery is not guaranteed; clients must implement idempotency and fallback polling","Queue position estimates are approximate and may shift based on priority and system load"],"requires":["Runway API key with appropriate rate limits","HTTP client capable of polling or webhook server for push notifications","Webhook endpoint must be publicly accessible and respond within 5 seconds","Database or cache for storing task_id mappings and completion status"],"input_types":["task_id (returned from initial generation request)","optional webhook URL for push notifications","optional polling interval parameter (1-60 seconds)"],"output_types":["JSON task status object (status, progress_percentage, estimated_completion_time, error_message if failed)","webhook POST payload with task metadata and download URL upon completion"],"categories":["tool-use-integration","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"runway-api__cap_4","uri":"capability://tool.use.integration.multi.model.inference.with.automatic.fallback.and.load.balancing","name":"multi-model inference with automatic fallback and load balancing","description":"Routes generation requests across multiple model versions (Gen-3 Alpha variants, legacy models) with automatic fallback to alternative models if primary model is overloaded or unavailable. The API uses request-time model selection based on input characteristics (prompt complexity, image resolution, video length) and current system load. Implements intelligent queue management to minimize wait times while maintaining output quality consistency.","intents":["Ensure reliable video generation even during peak load periods","Optimize generation latency by routing requests to least-loaded model instances","Support legacy workflows while gradually migrating to newer model versions","Maintain consistent output quality across different model versions"],"best_for":["Production systems requiring high availability and low latency","Teams managing long-term projects with evolving model versions","Applications with variable load patterns and unpredictable traffic spikes","Organizations gradual migrating between model versions"],"limitations":["Output quality may vary slightly between model versions; no guarantee of deterministic results","Fallback model selection is opaque; clients cannot specify preferred model version","Load balancing decisions are made server-side; clients have no visibility into routing logic","Switching between models mid-batch may cause inconsistent output styles","No SLA guarantees for specific model version availability"],"requires":["Runway API key","Understanding that output may vary based on automatic model selection","Acceptance of potential quality variations between model versions"],"input_types":["generation request (text, image, or video input)","optional model_version parameter (if not specified, automatic selection occurs)"],"output_types":["video file (MP4)","task metadata including actual_model_version used for generation"],"categories":["tool-use-integration","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"runway-api__cap_5","uri":"capability://automation.workflow.batch.video.generation.with.cost.optimization","name":"batch video generation with cost optimization","description":"Processes multiple video generation requests in a single batch operation with automatic request grouping, priority queuing, and cost-per-request optimization. The API accepts arrays of generation requests and returns batch_id for tracking collective progress. Implements intelligent scheduling to group similar requests (same model, similar input size) for improved throughput and reduced per-request overhead.","intents":["Generate hundreds of video variations for A/B testing in a single batch operation","Process large content libraries with consistent styling or transformations","Reduce per-request API overhead by batching similar generation tasks","Implement cost-aware video generation with budget constraints"],"best_for":["Content agencies processing bulk video generation orders","E-commerce platforms generating video variants for product catalogs","Research teams exploring model behavior across large input datasets","Teams with flexible timelines willing to wait for batch processing"],"limitations":["Batch processing introduces additional latency (5-30 minutes for large batches) compared to individual requests","No priority control within batch; all requests processed with equal priority","Partial batch failures require manual retry of failed requests; no automatic recovery","Batch size limits (max 1000 requests per batch) require splitting very large jobs","Cost savings are modest (5-15%) and only apply to compute, not API call overhead"],"requires":["Runway API key with batch processing enabled","Array of generation request objects (text, image, or video inputs)","Batch processing quota (separate from per-request rate limits)","Polling mechanism or webhook for batch completion notification"],"input_types":["JSON array of generation requests, each containing input (text/image/video) and parameters","optional batch_priority parameter (low, normal, high)","optional cost_limit parameter for budget-aware processing"],"output_types":["batch_id for tracking","JSON array of task_ids for individual requests within batch","batch status object with overall progress and per-request status"],"categories":["automation-workflow","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"runway-api__cap_6","uri":"capability://image.visual.camera.movement.and.motion.parameter.specification","name":"camera movement and motion parameter specification","description":"Allows developers to specify precise camera movements (pan, tilt, zoom, dolly) and object motion trajectories as structured parameters rather than relying solely on text prompts. The API accepts motion parameters as JSON objects with keyframe-based specifications, enabling frame-accurate control over camera behavior and object movement paths. Supports both absolute coordinates and relative motion specifications for flexible composition control.","intents":["Create cinematic camera movements (dolly, crane, pan) with precise timing","Specify object trajectories and movement paths for predictable motion","Generate video sequences with consistent camera behavior across multiple clips","Control motion intensity and speed for different narrative pacing requirements"],"best_for":["Filmmakers and cinematographers generating shot sequences programmatically","Game developers creating cinematic sequences with controlled camera movement","Advertising agencies producing consistent motion across multiple video variations","VFX artists generating motion reference footage with specific camera behavior"],"limitations":["Motion parameters require precise specification; imprecise values produce unpredictable results","Complex multi-object trajectories may exceed parameter complexity limits","Motion parameters interact with text prompts in non-obvious ways; tuning requires experimentation","No real-time preview of motion before generation; iteration requires multiple API calls","Extreme motion values (very fast pan, extreme zoom) may produce artifacts or temporal inconsistencies"],"requires":["Runway API key","Understanding of motion parameter schema (camera_type, keyframes, duration, easing functions)","Familiarity with coordinate systems and relative vs absolute positioning","Optional motion preview tool or visualization for parameter validation"],"input_types":["JSON object with camera_movement parameters (type, keyframes, duration_ms, easing)","optional object_trajectories array with position, rotation, scale keyframes","text prompt describing scene content","optional image or video input for image-to-video or video-to-video"],"output_types":["video file (MP4) with specified camera and motion behavior","task metadata including actual motion parameters applied"],"categories":["image-visual","video-generation"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"runway-api__cap_7","uri":"capability://text.generation.language.prompt.engineering.guidance.and.optimization","name":"prompt engineering guidance and optimization","description":"Provides API documentation and examples demonstrating effective prompt structures for different generation tasks (text-to-video, style transfer, motion control). The API returns detailed error messages and suggestions when prompts are ambiguous or suboptimal, helping developers refine inputs iteratively. Includes prompt templates for common use cases (product videos, cinematic shots, style transfers) that can be customized and reused.","intents":["Learn effective prompt structures for high-quality video generation","Understand why generated videos don't match expectations and how to refine prompts","Reuse proven prompt templates for consistent results across multiple generations","Optimize prompts for specific visual styles or motion characteristics"],"best_for":["Developers new to video generation learning best practices","Teams building prompt engineering pipelines for consistent output","Content creators experimenting with different visual styles and descriptions","Organizations documenting effective prompts for internal knowledge sharing"],"limitations":["Prompt optimization is heuristic-based; no guarantee of improved results","Suggestions are generic; domain-specific optimization requires manual experimentation","Prompt templates may not apply to novel or highly specific use cases","Error messages may not identify root cause of poor output quality","No automated prompt generation or optimization service; manual refinement required"],"requires":["Runway API documentation and examples","Willingness to experiment with multiple prompt variations","Understanding of video generation model capabilities and limitations"],"input_types":["text prompt for generation","optional feedback on previous generation quality"],"output_types":["detailed error messages with suggestions for prompt improvement","prompt templates and examples for common use cases","best practices documentation"],"categories":["text-generation-language","planning-reasoning"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"runway-api__cap_8","uri":"capability://tool.use.integration.rate.limiting.and.quota.management.with.tiered.access","name":"rate limiting and quota management with tiered access","description":"Implements request rate limiting with tiered quota systems (free, pro, enterprise) that control requests-per-minute, concurrent jobs, and monthly generation minutes. The API returns rate limit headers with remaining quota and reset times, allowing clients to implement backoff strategies. Supports quota pooling across multiple API keys for teams and organizations managing shared generation budgets.","intents":["Prevent API abuse and ensure fair resource allocation across users","Implement graceful degradation when approaching rate limits","Track generation usage and costs for billing and budgeting","Manage shared quotas across team members or organizational units"],"best_for":["SaaS platforms offering video generation as a feature to end users","Teams managing shared API budgets across multiple projects","Organizations implementing usage-based billing models","Developers building resilient applications with rate limit handling"],"limitations":["Rate limits are enforced per API key; no per-user or per-project granularity without additional infrastructure","Quota reset times are fixed (daily, monthly); no custom reset schedules","Quota pooling requires manual configuration; no automatic load balancing across keys","Burst traffic may exceed rate limits even with proper backoff implementation","No priority queue for high-value requests; all requests treated equally within tier"],"requires":["Runway API key with appropriate tier","HTTP client capable of reading rate limit headers","Backoff strategy implementation (exponential backoff recommended)","Monitoring and alerting for quota exhaustion"],"input_types":["HTTP request with API key in header","optional quota_pool parameter for shared quota management"],"output_types":["HTTP response headers with rate limit metadata (X-RateLimit-Remaining, X-RateLimit-Reset)","429 Too Many Requests response when limits exceeded","quota usage dashboard (web UI)"],"categories":["tool-use-integration","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"runway-api__cap_9","uri":"capability://tool.use.integration.error.handling.and.generation.failure.recovery.with.detailed.diagnostics","name":"error handling and generation failure recovery with detailed diagnostics","description":"Returns structured error responses with specific error codes, human-readable messages, and diagnostic information (e.g., why a prompt was rejected, which parameter caused failure). Supports automatic retry with exponential backoff for transient failures (rate limits, temporary service degradation) while distinguishing from permanent failures (invalid parameters, unsupported content). Provides suggestions for correcting common errors (e.g., 'prompt too long, reduce to under 500 characters').","intents":["Implement intelligent retry logic that distinguishes transient from permanent failures","Provide users with actionable error messages and suggestions for fixing invalid requests","Log and monitor generation failures to identify systemic issues or problematic prompts","Implement graceful degradation in applications when video generation fails"],"best_for":["Applications with user-facing video generation requiring helpful error messages","Monitoring and alerting systems tracking generation failures and error trends","Batch processing pipelines implementing intelligent retry and recovery strategies"],"limitations":["Error messages are advisory; exact wording may change across API versions","Diagnostic information is limited to request-level issues; runtime failures may lack detail","Retry suggestions are heuristic-based and may not resolve all issues","No built-in circuit breaker or fallback mechanism; clients must implement their own"],"requires":["Runway API key","HTTP client capable of parsing JSON error responses"],"input_types":["API request (any video generation request)"],"output_types":["error response (JSON): {error_code: string, message: string, details: object, suggestion: string, retry_after: int}"],"categories":["tool-use-integration","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"runway-api__headline","uri":"capability://image.visual.ai.powered.video.generation.api","name":"ai-powered video generation api","description":"Runway API is an advanced video generation API that allows users to create high-quality videos programmatically using text-to-video, image-to-video, and video-to-video capabilities, making video content creation accessible and efficient.","intents":["best video generation API","video generation API for creative projects","top API for text-to-video creation","API for automated video content","video generation solutions for developers"],"best_for":[],"limitations":[],"requires":[],"input_types":[],"output_types":[],"categories":["image-visual"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":59,"verified":false,"data_access_risk":"high","permissions":["Runway API key (obtain from dev.runwayml.com)","HTTP/REST client capable of async polling","Understanding of prompt engineering for video generation (specificity improves output quality)","Webhook endpoint or polling mechanism to handle asynchronous task completion","Runway API key","Input image in JPEG, PNG, or WebP format (max 8MB, min 512x512px)","Optional motion prompt as text string","Polling mechanism or webhook for async task completion","Input video file (MP4, MOV, WebM; max 500MB, max 10 minutes)","Style description as text prompt or predefined style identifier"],"failure_modes":["Generation latency ranges 30-120 seconds depending on video length and complexity","Output resolution capped at 1080p; 4K generation not yet supported","Motion control parameters require structured input; free-form motion descriptions have lower fidelity","No real-time preview or iterative refinement within a single API call","Generated videos may exhibit temporal artifacts or motion discontinuities at scene transitions","Motion prediction is conservative; dramatic or complex movements may not be synthesized","Output quality degrades with highly abstract or stylized input images","Cannot control specific motion direction without additional prompt guidance","Frame interpolation adds ~15-30% latency overhead for smooth playback","Limited to 30-second maximum output length per request","builder identity is not verified yet","no observed match outcomes yet"],"rank_breakdown":{"adoption":0.7,"quality":0.9,"ecosystem":0.25,"match_graph":0.25,"freshness":0.75,"weights":{"adoption":0.25,"quality":0.25,"ecosystem":0.1,"match_graph":0.28,"freshness":0.12}},"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-api","compare_url":"https://unfragile.ai/compare?artifact=runway-api"}},"signature":"oWEf2uxJvVBcFdE5LHWI4VTxm0QXIX8Y/0ZvW6fQJTfk//mGegPFSE3qfP4PJM/Ou1GdA0qoacuyCK+zplXyDg==","signedAt":"2026-06-20T19:53:44.110Z","signedBy":"unfragile.ai","version":1},"_links":{"self":"https://unfragile.ai/api/v1/passport/runway-api","artifact":"https://unfragile.ai/runway-api","verify":"https://unfragile.ai/api/v1/verify?slug=runway-api","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"}}