{"passport":{"unfragile":{"@version":"1.0","version":"2026-05","artifact":{"id":"tool_magicpublish-ai","slug":"magicpublish-ai","name":"MagicPublish.ai","type":"product","url":"https://www.magicpublish.ai","page_url":"https://unfragile.ai/magicpublish-ai","categories":["text-writing"],"tags":[],"pricing":{"model":"freemium","free":true,"starting_price":null},"status":"active","verified":false},"capabilities":[{"id":"tool_magicpublish-ai__cap_0","uri":"capability://text.generation.language.ai.generated.youtube.video.title.optimization.with.multi.variant.generation","name":"ai-generated youtube video title optimization with multi-variant generation","description":"Generates multiple SEO-optimized YouTube video titles by analyzing video content, keywords, and YouTube's ranking signals through a language model. The system likely ingests video metadata (duration, category, upload context) and applies prompt engineering to produce 3-5 title variations that balance keyword density, click-through rate optimization, and character limits (60 chars for full display). Each variant is ranked by estimated CTR potential based on learned patterns from high-performing YouTube content.","intents":["I need 5 different title options for my video that will rank better and get more clicks","I want to A/B test titles without manually brainstorming SEO variations","I need titles that include my target keywords but still sound natural and clickable"],"best_for":["YouTube creators with 1K-100K subscribers who upload weekly but lack SEO expertise","Content teams managing multiple channels who need rapid metadata iteration","Creators testing new niches who want data-driven title suggestions"],"limitations":["Cannot predict actual YouTube algorithm ranking impact—title optimization is only one of 200+ ranking factors","No access to real-time YouTube search trends or competitor title analysis","Generated titles may not reflect creator's brand voice or tone without manual refinement","Cannot validate if suggested keywords have sufficient search volume or low competition"],"requires":["YouTube video URL or video metadata (title, description, category)","Active internet connection to call AI model API","User account with MagicPublish.ai (freemium tier available)"],"input_types":["text (existing video title)","text (video description or transcript snippet)","text (target keywords or topic)"],"output_types":["text (3-5 title variations, typically 40-60 characters each)","structured data (titles ranked by estimated CTR score)"],"categories":["text-generation-language","seo-optimization"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_magicpublish-ai__cap_1","uri":"capability://text.generation.language.automated.youtube.video.description.generation.with.seo.keyword.integration","name":"automated youtube video description generation with seo keyword integration","description":"Generates full YouTube video descriptions (typically 1000-5000 characters) by synthesizing video content, target keywords, and YouTube's description ranking factors. The system injects keywords naturally throughout the description structure (hook, body paragraphs, calls-to-action, timestamps) while maintaining readability. Likely uses template-based generation with variable insertion points for keywords, links, and creator-specific content (channel links, social media, affiliate URLs).","intents":["I need a full description with timestamps, keywords, and CTAs without writing it manually","I want keywords distributed naturally throughout my description for SEO without keyword stuffing","I need to include my channel links, social media, and affiliate URLs in a structured format"],"best_for":["Creators uploading 2+ videos per week who want to save 10-15 minutes per upload","Non-native English speakers who need grammatically correct, SEO-aware descriptions","Channels with consistent structure (tutorials, reviews, vlogs) where templated descriptions work well"],"limitations":["Cannot automatically extract timestamps from video—requires manual input or separate video analysis","Generated descriptions may feel generic or lack personality without significant manual editing","No integration with YouTube Analytics to measure if description changes actually improve CTR or watch time","Cannot optimize for YouTube's internal ranking of descriptions (algorithm details are proprietary)"],"requires":["Video title and topic/keywords","Optional: video transcript or outline","Optional: creator's channel links, social media handles, affiliate URLs","MagicPublish.ai account (freemium tier available)"],"input_types":["text (video title)","text (video topic, keywords, or transcript)","text (creator metadata: channel links, social handles)"],"output_types":["text (1000-5000 character description with keyword integration)","structured text (description with sections: hook, body, timestamps, CTAs, links)"],"categories":["text-generation-language","seo-optimization"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_magicpublish-ai__cap_2","uri":"capability://text.generation.language.automated.youtube.tag.suggestion.and.optimization","name":"automated youtube tag suggestion and optimization","description":"Generates 10-30 optimized YouTube tags by analyzing video content, title, description, and category to suggest tags that balance search volume, competition, and relevance. The system likely uses keyword extraction from video metadata combined with YouTube's tag ranking algorithm heuristics (tag length, specificity, category alignment). Tags are probably ranked by estimated search volume and competition score to prioritize high-impact tags within YouTube's 500-character tag limit.","intents":["I need 15-20 tags that will help my video rank without wasting tag space on low-volume keywords","I want tags that match my video category and content without over-optimizing","I need to understand which tags are high-priority vs. filler so I can stay under the 500-character limit"],"best_for":["Creators who understand tags matter but lack time for keyword research per video","Channels with consistent content types (gaming, tutorials, reviews) where tag patterns repeat","Creators optimizing for YouTube's search and discovery rather than relying solely on browse features"],"limitations":["YouTube's tag ranking algorithm is proprietary—suggestions are based on heuristics, not actual ranking data","Cannot predict tag performance for emerging or niche keywords with low historical data","Tags have diminishing returns after 5-10 well-chosen tags; additional tags add minimal ranking value","No A/B testing capability to validate if suggested tags actually improve impressions or CTR"],"requires":["Video title, description, and category","MagicPublish.ai account (freemium tier available)","Optional: video transcript or keywords for more accurate suggestions"],"input_types":["text (video title)","text (video description or transcript)","text (video category or topic)"],"output_types":["text (10-30 tags, typically 2-5 words each)","structured data (tags ranked by estimated search volume and competition score)"],"categories":["text-generation-language","search-retrieval","seo-optimization"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_magicpublish-ai__cap_3","uri":"capability://text.generation.language.batch.metadata.generation.for.multiple.videos.with.consistency.enforcement","name":"batch metadata generation for multiple videos with consistency enforcement","description":"Processes multiple YouTube videos in a single workflow, generating optimized titles, descriptions, and tags for each while maintaining channel-level consistency (brand voice, keyword themes, link structure). The system likely batches API calls to the language model, applies channel-specific templates or style guides, and outputs metadata in a format ready for bulk upload (CSV, JSON, or direct YouTube Studio integration). Consistency enforcement probably includes keyword theme mapping across videos and standardized CTA/link placement.","intents":["I have 10 videos to upload this week and need metadata for all of them without doing each one individually","I want all my videos to have consistent branding, keyword themes, and link placement across titles and descriptions","I need to export metadata in a format I can bulk-upload to YouTube Studio or review in a spreadsheet"],"best_for":["Content teams managing 5+ videos per week across multiple creators","Channels with consistent content types (daily vlogs, weekly tutorials) where batch processing saves significant time","Creators preparing content calendars and needing metadata before upload day"],"limitations":["Batch processing may reduce personalization—generated metadata may feel less tailored to individual video nuances","No real-time feedback loop; creators cannot iterate on batch results before bulk upload","Consistency enforcement may create repetitive keyword patterns that YouTube's algorithm penalizes as over-optimization","Unknown whether batch API calls have rate limits or pricing tiers that affect cost-per-video"],"requires":["List of 2+ videos with titles, descriptions, or transcripts","Optional: channel-level style guide or keyword themes","MagicPublish.ai account (likely paid tier for batch processing)","YouTube Studio access for bulk upload (if using direct integration)"],"input_types":["text (video titles and descriptions for 2+ videos)","structured data (CSV or JSON with video metadata)","text (channel-level keywords, brand guidelines, or style preferences)"],"output_types":["structured data (CSV or JSON with optimized metadata for all videos)","text (bulk-uploadable format compatible with YouTube Studio)","text (consistency report showing keyword themes and link placement across batch)"],"categories":["text-generation-language","automation-workflow","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_magicpublish-ai__cap_4","uri":"capability://search.retrieval.keyword.research.and.trend.analysis.for.youtube.video.topics","name":"keyword research and trend analysis for youtube video topics","description":"Analyzes trending topics, search volume, and competition for YouTube keywords by integrating with YouTube's public search data, Google Trends, or proprietary keyword databases. The system likely returns keyword suggestions ranked by search volume, competition level, and trend trajectory (rising, stable, declining). Recommendations probably include long-tail keyword opportunities and seasonal trends relevant to the creator's niche. May include competitor keyword analysis if the creator provides competitor channel URLs.","intents":["I want to know which keywords are trending in my niche so I can plan video topics with better ranking potential","I need to understand search volume and competition for my target keywords before committing to a video topic","I want to find long-tail keywords that have decent search volume but low competition for easier ranking"],"best_for":["Creators planning content calendars and wanting data-driven topic selection","Channels entering new niches who need keyword landscape analysis before investing in production","Creators competing in saturated niches (gaming, fitness, finance) where keyword research directly impacts visibility"],"limitations":["YouTube's search volume data is approximate and not real-time; exact search volumes are proprietary","Keyword competition scores are estimates based on heuristics, not actual YouTube ranking difficulty","Seasonal trends may not be predictable for emerging niches or new keywords","No integration with YouTube Analytics to validate if suggested keywords actually drive traffic to creator's channel"],"requires":["Video topic or niche category","Optional: creator's channel URL for competitor analysis","MagicPublish.ai account (freemium or paid tier)"],"input_types":["text (video topic, niche, or keyword)","text (competitor channel URL, optional)"],"output_types":["structured data (keywords ranked by search volume, competition, trend trajectory)","text (keyword recommendations with search volume and competition scores)","structured data (seasonal trend data or long-tail keyword opportunities)"],"categories":["search-retrieval","data-processing-analysis","seo-optimization"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_magicpublish-ai__cap_5","uri":"capability://planning.reasoning.video.performance.prediction.based.on.metadata.optimization","name":"video performance prediction based on metadata optimization","description":"Estimates potential video performance (impressions, CTR, watch time) by analyzing optimized metadata against historical performance data from similar videos. The system likely uses machine learning to correlate metadata patterns (title length, keyword placement, tag count) with performance outcomes, then scores the creator's metadata on estimated impact. Predictions probably include confidence intervals and comparisons to channel averages or category benchmarks. May highlight which metadata elements (title vs. description vs. tags) have highest impact on performance.","intents":["I want to know if my optimized metadata will actually improve my video's performance before uploading","I need to understand which metadata elements (title, tags, description) have the biggest impact on my channel's performance","I want to compare my metadata quality to other videos in my category to see if I'm competitive"],"best_for":["Data-driven creators who want quantitative feedback on metadata quality before upload","Channels with 6+ months of historical data where performance patterns are statistically meaningful","Creators A/B testing metadata changes and wanting to measure predicted impact"],"limitations":["Predictions are based on historical correlation, not causation—metadata optimization alone cannot guarantee performance improvement","YouTube's algorithm is proprietary and constantly changing; historical patterns may not predict future performance","Predictions require sufficient historical data (6+ months); new channels or niches lack data for accurate modeling","Cannot account for external factors (trending topics, viral events, algorithm changes) that dramatically affect performance","No integration with YouTube Analytics to validate predictions against actual performance post-upload"],"requires":["Creator's YouTube channel with 6+ months of historical data","YouTube API access or channel analytics export (likely requires OAuth connection)","MagicPublish.ai account (likely paid tier for predictive features)","Video metadata (title, description, tags) to score"],"input_types":["text (video title, description, tags)","structured data (channel historical performance data from YouTube Analytics)","text (video category or niche)"],"output_types":["structured data (predicted impressions, CTR, watch time with confidence intervals)","text (performance prediction report with metadata impact breakdown)","structured data (comparison to channel averages or category benchmarks)"],"categories":["planning-reasoning","data-processing-analysis","seo-optimization"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_magicpublish-ai__cap_6","uri":"capability://data.processing.analysis.youtube.analytics.integration.for.metadata.performance.measurement","name":"youtube analytics integration for metadata performance measurement","description":"Connects to YouTube Analytics via OAuth to pull performance data (impressions, CTR, watch time, traffic source) for videos with optimized metadata, enabling measurement of whether metadata changes actually improved performance. The system likely tracks metadata versions (original vs. optimized) and correlates them with performance metrics over time. May provide dashboards showing which metadata elements (title, tags, description) correlate with higher impressions or CTR, and alerts when performance deviates from predictions.","intents":["I want to measure whether the metadata MagicPublish generated actually improved my video's impressions and CTR","I need to see which metadata elements (title vs. tags vs. description) have the biggest impact on my channel's performance","I want to track how metadata changes affect my videos over time and optimize based on real data"],"best_for":["Creators with 1K+ subscribers who have sufficient traffic to measure metadata impact statistically","Channels uploading weekly or more frequently where metadata changes can be isolated and measured","Data-driven creators who want to validate SEO assumptions with actual YouTube Analytics data"],"limitations":["YouTube Analytics data is delayed by 24-48 hours; real-time measurement is not possible","Metadata changes are only one of 200+ ranking factors; isolating their impact requires statistical rigor and time","Correlation between metadata and performance does not prove causation—external factors (trending topics, algorithm changes) confound results","Small channels (<10K subscribers) may lack sufficient traffic to measure metadata impact with statistical confidence","YouTube API rate limits and data retention policies may restrict historical analysis"],"requires":["YouTube channel with 1K+ subscribers (YouTube Partner Program requirement for Analytics API access)","OAuth connection to YouTube Analytics API","MagicPublish.ai account (likely paid tier for Analytics integration)","6+ weeks of historical data post-metadata optimization to measure impact"],"input_types":["OAuth token (YouTube Analytics API access)","structured data (video metadata versions: original and optimized)"],"output_types":["structured data (performance metrics: impressions, CTR, watch time, traffic source by video)","text (dashboard showing metadata impact on performance over time)","structured data (correlation analysis: which metadata elements correlate with higher impressions/CTR)"],"categories":["data-processing-analysis","tool-use-integration","memory-knowledge"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_magicpublish-ai__cap_7","uri":"capability://data.processing.analysis.competitor.metadata.analysis.and.benchmarking","name":"competitor metadata analysis and benchmarking","description":"Analyzes metadata (titles, descriptions, tags) from top-ranking competitor videos in the creator's niche to identify patterns, keyword strategies, and structural approaches. The system likely extracts metadata from competitor videos, identifies common keywords and tag patterns, and benchmarks the creator's metadata against competitors. May provide insights like average title length, keyword placement patterns, tag count, and description structure used by high-performing competitors. Recommendations probably highlight gaps where the creator's metadata lags behind competitors.","intents":["I want to see what metadata strategies my top competitors are using so I can match or exceed their optimization","I need to understand if my titles, tags, and descriptions are competitive compared to videos ranking above mine","I want to identify keyword gaps where competitors are ranking but I'm not"],"best_for":["Creators in competitive niches (gaming, fitness, finance, tech) where competitor analysis is critical","Channels trying to break into saturated categories and needing data on what works","Creators optimizing for specific keywords and wanting to see how competitors structure metadata around those keywords"],"limitations":["Competitor metadata analysis is surface-level; cannot see YouTube's internal ranking factors or algorithm weighting","Copying competitor metadata strategies may result in generic, non-differentiated content that doesn't stand out","YouTube's algorithm may penalize metadata that closely mimics competitors (potential duplicate content signals)","Competitor analysis is static; cannot track how competitors iterate metadata over time or respond to algorithm changes","Cannot access private or unlisted videos; analysis is limited to public competitor content"],"requires":["Competitor channel URLs or video URLs","MagicPublish.ai account (freemium or paid tier)","Creator's own video metadata for comparison"],"input_types":["text (competitor channel URLs or video URLs)","text (creator's video metadata for benchmarking)"],"output_types":["structured data (competitor metadata analysis: title patterns, keyword frequency, tag count, description structure)","text (benchmarking report: creator's metadata vs. competitor averages)","structured data (keyword gaps and opportunities where competitors rank but creator doesn't)"],"categories":["data-processing-analysis","search-retrieval","seo-optimization"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":39,"verified":false,"data_access_risk":"high","permissions":["YouTube video URL or video metadata (title, description, category)","Active internet connection to call AI model API","User account with MagicPublish.ai (freemium tier available)","Video title and topic/keywords","Optional: video transcript or outline","Optional: creator's channel links, social media handles, affiliate URLs","MagicPublish.ai account (freemium tier available)","Video title, description, and category","Optional: video transcript or keywords for more accurate suggestions","List of 2+ videos with titles, descriptions, or transcripts"],"failure_modes":["Cannot predict actual YouTube algorithm ranking impact—title optimization is only one of 200+ ranking factors","No access to real-time YouTube search trends or competitor title analysis","Generated titles may not reflect creator's brand voice or tone without manual refinement","Cannot validate if suggested keywords have sufficient search volume or low competition","Cannot automatically extract timestamps from video—requires manual input or separate video analysis","Generated descriptions may feel generic or lack personality without significant manual editing","No integration with YouTube Analytics to measure if description changes actually improve CTR or watch time","Cannot optimize for YouTube's internal ranking of descriptions (algorithm details are proprietary)","YouTube's tag ranking algorithm is proprietary—suggestions are based on heuristics, not actual ranking data","Cannot predict tag performance for emerging or niche keywords with low historical data","builder identity is not verified yet","no observed match outcomes yet"],"rank_breakdown":{"adoption":0.31666666666666665,"quality":0.67,"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":"2026-05-24T12:16:31.857Z","last_scraped_at":"2026-04-05T13:23:42.560Z","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=magicpublish-ai","compare_url":"https://unfragile.ai/compare?artifact=magicpublish-ai"}},"signature":"pWDA+wqE7X98sakvBYoip2fQxaV943QW1WNoUql2z94T76metR2fNfOryEyORTLMB2ybdoXlNdg//dyXgxjCCA==","signedAt":"2026-06-20T22:43:26.158Z","signedBy":"unfragile.ai","version":1},"_links":{"self":"https://unfragile.ai/api/v1/passport/magicpublish-ai","artifact":"https://unfragile.ai/magicpublish-ai","verify":"https://unfragile.ai/api/v1/verify?slug=magicpublish-ai","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"}}