{"passport":{"unfragile":{"@version":"1.0","version":"2026-05","artifact":{"id":"tool_pygma","slug":"pygma","name":"Pygma","type":"product","url":"https://www.pygma.me","page_url":"https://unfragile.ai/pygma","categories":["text-writing"],"tags":[],"pricing":{"model":"freemium","free":true,"starting_price":null},"status":"active","verified":false},"capabilities":[{"id":"tool_pygma__cap_0","uri":"capability://text.generation.language.ai.driven.social.media.post.generation.with.platform.specific.formatting","name":"ai-driven social media post generation with platform-specific formatting","description":"Generates original social media content using LLM inference (likely GPT-based) with automatic adaptation to platform constraints (character limits, hashtag conventions, media requirements). The system accepts user briefs, brand context, or content topics and outputs formatted posts ready for immediate scheduling. Architecture likely involves prompt engineering templates that inject platform-specific rules and brand voice parameters into the generation pipeline.","intents":["Generate 5-10 social posts for the week without manually writing each one","Create platform-specific variations of the same message (LinkedIn professional tone vs Instagram casual)","Batch-generate content ideas when I'm out of creative energy","Maintain consistent posting cadence across Twitter, Instagram, LinkedIn, and TikTok simultaneously"],"best_for":["Solo content creators managing 3+ social channels with limited time","Small businesses (1-10 employees) needing daily posting without dedicated social team","Solopreneurs testing content strategy before hiring a social manager"],"limitations":["Generated content lacks distinctive brand voice — outputs are generic and require 30-60% manual editing for brand alignment","No fine-tuning on brand-specific language patterns or tone — uses only prompt-level customization","Cannot learn from past high-performing posts to improve generation quality over time","No A/B testing variants automatically — single output per generation request"],"requires":["Active Pygma account (freemium or paid tier)","Brand context/voice guidelines provided during setup (optional but recommended)","Internet connection for LLM API calls"],"input_types":["text (topic, brief, brand guidelines)","structured metadata (platform selection, content category, tone preference)"],"output_types":["formatted text posts with platform-specific constraints applied","hashtag suggestions","emoji recommendations"],"categories":["text-generation-language","social-media-marketing"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_pygma__cap_1","uri":"capability://automation.workflow.multi.platform.social.media.scheduling.and.publishing.orchestration","name":"multi-platform social media scheduling and publishing orchestration","description":"Manages post scheduling across multiple social platforms (Twitter, Instagram, LinkedIn, TikTok, Facebook) with a unified calendar interface. Posts are queued with scheduled publish times and automatically distributed to each platform's native API at the specified moment. The system handles platform-specific authentication (OAuth tokens), rate limiting per platform, and retry logic for failed publishes. Architecture uses a task queue (likely Celery or similar) to trigger publishes at exact timestamps.","intents":["Schedule 20 posts across 4 platforms for the next month in one batch workflow","Publish at optimal times (e.g., 9 AM EST for LinkedIn, 7 PM PST for Instagram) without manual intervention","Manage posting schedule across time zones for global audience reach","Avoid platform rate limits by spacing posts intelligently"],"best_for":["Content creators managing 3+ social channels who want batch scheduling","Small teams coordinating multi-channel campaigns with preset calendars","Businesses running promotional campaigns with fixed publish schedules"],"limitations":["No real-time optimization — posts publish at fixed times regardless of audience activity or trending topics","Limited platform coverage compared to Buffer/Later — may not support emerging platforms or niche networks","No built-in rescheduling if a post underperforms — requires manual intervention to adjust timing","Scheduling granularity likely limited to 15-30 minute intervals, not second-level precision"],"requires":["OAuth authentication tokens for each connected social platform","Active Pygma account with scheduling tier (likely paid feature)","Platform API access (standard for Twitter, Instagram, LinkedIn, Facebook)"],"input_types":["formatted social media posts (text, images, videos)","scheduled publish timestamps (ISO 8601 or UI date picker)","platform selection (which networks to publish to)"],"output_types":["confirmation of scheduled posts","calendar view of upcoming publishes","publish success/failure logs"],"categories":["automation-workflow","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_pygma__cap_2","uri":"capability://text.generation.language.brand.voice.customization.and.content.tone.control","name":"brand voice customization and content tone control","description":"Allows users to define brand voice parameters (tone, vocabulary, style, values) that are injected into the LLM prompt during content generation. Users provide examples of on-brand content, tone descriptors (professional, casual, humorous, etc.), and brand values, which are encoded as system prompts or few-shot examples. The generation pipeline uses these parameters to constrain output style, though effectiveness depends on prompt engineering quality rather than model fine-tuning.","intents":["Ensure all AI-generated posts sound like my brand, not generic corporate speak","Define tone guidelines (e.g., 'witty and irreverent' for a startup vs 'professional and authoritative' for a law firm)","Provide example posts so the AI learns my brand voice pattern","Maintain consistent voice across multiple team members posting on the same account"],"best_for":["Brands with strong, distinctive voice (startups, creators, niche communities)","Teams wanting to enforce brand consistency across social channels","Businesses concerned about brand dilution from generic AI content"],"limitations":["Voice customization is prompt-level only — no model fine-tuning, so brand voice adherence degrades with complex or unusual brand personalities","Requires manual example provision and tone description — no automatic voice extraction from historical posts","No feedback loop to improve voice matching over time based on user edits","Cannot handle nuanced brand voice variations (e.g., different tone for different audience segments)"],"requires":["Brand voice guidelines document or examples provided by user","Tone descriptors and vocabulary preferences defined in settings","Optional: 3-5 example posts demonstrating desired brand voice"],"input_types":["text (brand voice description, tone keywords, brand values)","example posts (3-5 samples of on-brand content)"],"output_types":["stored brand voice profile","generated posts styled to match voice profile"],"categories":["text-generation-language","memory-knowledge"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_pygma__cap_3","uri":"capability://automation.workflow.content.calendar.visualization.and.batch.scheduling.workflow","name":"content calendar visualization and batch scheduling workflow","description":"Provides a unified calendar interface showing all scheduled posts across platforms with drag-and-drop rescheduling, bulk editing, and content preview. The calendar supports month/week/day views and displays posts color-coded by platform. Users can batch-select posts, apply changes (reschedule, edit, delete), and preview how content will appear on each platform before publishing. Architecture uses client-side state management (React/Vue) with backend sync for persistence.","intents":["See all my social posts for the next 30 days in one view","Drag a post from Tuesday to Thursday to reschedule without re-entering details","Bulk-edit 10 posts to add a campaign hashtag across all platforms","Preview how a post looks on Instagram vs LinkedIn before publishing"],"best_for":["Content teams planning monthly campaigns with visual oversight","Solo creators wanting to batch-plan content in advance","Managers coordinating multi-person social strategies"],"limitations":["Calendar view may become cluttered with 50+ posts per month — no filtering or grouping by campaign/category","Drag-and-drop rescheduling likely limited to same-day or next-day changes — bulk date shifts may require manual selection","Preview may not perfectly match actual platform rendering (especially Instagram Stories, TikTok formatting)","No integration with external calendars (Google Calendar, Outlook) for cross-team visibility"],"requires":["Active Pygma account with scheduling feature","Modern web browser (Chrome, Firefox, Safari, Edge)","JavaScript enabled for interactive calendar UI"],"input_types":["scheduled posts (from generation or manual entry)","drag-and-drop interactions for rescheduling","bulk selection for batch editing"],"output_types":["calendar view with color-coded posts","post preview with platform-specific rendering","updated schedule after drag-and-drop or bulk edits"],"categories":["automation-workflow","planning-reasoning"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_pygma__cap_4","uri":"capability://data.processing.analysis.basic.social.media.analytics.and.post.performance.tracking","name":"basic social media analytics and post performance tracking","description":"Tracks engagement metrics (likes, comments, shares, impressions, reach) for published posts by querying platform APIs (Twitter Analytics API, Instagram Insights API, LinkedIn Analytics API). Metrics are aggregated in a dashboard showing post-level performance, engagement trends over time, and basic comparisons (best-performing post type, optimal posting time). Architecture uses scheduled API polling (daily or weekly) to fetch metrics and store in a time-series database for historical analysis.","intents":["See which of my posts got the most engagement this month","Understand if my audience prefers video or text posts","Track follower growth and engagement rate trends over time","Identify the best time of day to post based on historical engagement"],"best_for":["Solo creators wanting basic performance insights without complex analytics","Small businesses tracking social ROI at a high level","Teams needing simple engagement dashboards for reporting"],"limitations":["Analytics are basic and lack advanced metrics (sentiment analysis, audience demographics, conversion tracking) compared to Buffer/Later","Metrics depend on platform API availability — some platforms (TikTok, Instagram) have limited free API access, so data may be delayed or incomplete","No predictive analytics or AI-driven recommendations for content optimization","No UTM tracking or link click attribution — cannot measure traffic driven to external websites","Reporting limited to basic charts and tables — no custom report generation or scheduled email reports"],"requires":["Active Pygma account with analytics tier (likely paid feature)","Platform API access with analytics permissions (may require platform-specific approval)","Published posts on connected social platforms (at least 7-14 days old for meaningful metrics)"],"input_types":["published social media posts","platform API credentials with analytics scope"],"output_types":["engagement metrics (likes, comments, shares, impressions)","performance dashboard with charts and trends","post-level performance comparison"],"categories":["data-processing-analysis","search-retrieval"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_pygma__cap_5","uri":"capability://automation.workflow.freemium.tier.with.limited.daily.monthly.post.quota","name":"freemium tier with limited daily/monthly post quota","description":"Implements a freemium model with restricted posting limits (e.g., 5-10 posts/month free, unlimited on paid tier) enforced via quota tracking in the backend. The system counts published posts against the user's monthly allowance and blocks publishing when quota is exhausted, with upgrade prompts to paid plans. Quota resets on a monthly billing cycle. Architecture uses a simple counter in the user database with monthly reset logic.","intents":["Test Pygma's content generation quality before committing to paid plan","Use Pygma for occasional posting (1-2 posts/week) without paying","Evaluate if Pygma's brand voice customization is worth upgrading to paid"],"best_for":["Solo creators and small businesses with minimal social media budget","Users wanting to test Pygma before committing to subscription","Casual posters with low posting frequency (1-5 posts/month)"],"limitations":["Free tier quota is restrictive (5-10 posts/month) — insufficient for active social media managers","No analytics or advanced features on free tier — limits ability to evaluate full product value","Quota resets monthly, not on billing cycle — users may lose unused quota if they don't post regularly","No free trial period for paid features — must upgrade to access scheduling, analytics, or brand voice customization"],"requires":["Pygma account creation (email or social login)","No payment method required for free tier"],"input_types":["social media post generation requests"],"output_types":["published posts (up to quota limit)","quota usage tracking","upgrade prompts when quota exhausted"],"categories":["automation-workflow","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_pygma__cap_6","uri":"capability://tool.use.integration.multi.platform.oauth.authentication.and.token.management","name":"multi-platform oauth authentication and token management","description":"Handles OAuth 2.0 authentication flows for connecting social media accounts (Twitter, Instagram, LinkedIn, Facebook, TikTok) to Pygma. The system stores encrypted OAuth tokens, manages token refresh (some platforms require periodic refresh), and handles authentication errors gracefully. Architecture uses a secure token vault (likely AWS Secrets Manager or similar) with automatic refresh logic triggered before token expiration.","intents":["Connect my Twitter, Instagram, and LinkedIn accounts to Pygma in one setup flow","Ensure Pygma can publish to my accounts without storing my passwords","Automatically refresh expired tokens so scheduling doesn't break"],"best_for":["Users wanting secure, password-free authentication to social platforms","Teams managing multiple social accounts with different team members","Businesses requiring OAuth compliance for security audits"],"limitations":["OAuth token refresh logic may fail silently — users may not realize authentication expired until publish fails","Some platforms (TikTok, Instagram) have restrictive OAuth scopes — may not support all Pygma features","Requires user to authorize Pygma in each platform's OAuth consent screen — adds friction to setup","No support for service accounts or API keys — only OAuth, limiting enterprise use cases"],"requires":["Active social media accounts on platforms to connect (Twitter, Instagram, LinkedIn, etc.)","OAuth app registration with each platform (Pygma handles this, but requires platform approval)","Internet connection to complete OAuth redirect flow"],"input_types":["platform selection (which social networks to connect)","OAuth authorization (user grants permission in platform's login flow)"],"output_types":["encrypted OAuth tokens stored in Pygma","authenticated connection status per platform","error messages if authentication fails"],"categories":["tool-use-integration","safety-moderation"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_pygma__cap_7","uri":"capability://text.generation.language.content.idea.generation.and.topic.suggestions","name":"content idea generation and topic suggestions","description":"Generates content topic ideas and post concepts based on user input (industry, audience, brand), trending topics, or historical post performance. The system uses LLM inference to brainstorm content angles, hooks, and themes that align with the user's brand and audience. Ideas are presented as prompts that can be directly fed into the post generation capability. Architecture likely uses prompt templates that inject industry context and trending data into the LLM.","intents":["Generate 10 content ideas for next week when I'm out of inspiration","Get trending topic suggestions relevant to my industry","Brainstorm content angles based on my best-performing posts","Create content calendar themes for the month"],"best_for":["Content creators struggling with ideation or writer's block","Small teams wanting to batch-plan content themes before writing","Creators wanting to capitalize on trending topics in their niche"],"limitations":["Idea generation is generic and not personalized to audience insights — no audience segmentation or demographic targeting","No integration with trending data APIs — ideas may not reflect current trends or viral topics","Ideas are text-based suggestions only — no visual content ideation (image themes, video concepts)","No feedback loop to improve idea quality based on user acceptance or post performance"],"requires":["Brand context or industry provided by user","Optional: historical post data for personalization"],"input_types":["text (industry, audience description, brand values)","optional: historical post performance data"],"output_types":["list of content ideas (5-10 suggestions)","topic themes and angles","hooks and headlines for posts"],"categories":["text-generation-language","planning-reasoning"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":39,"verified":false,"data_access_risk":"high","permissions":["Active Pygma account (freemium or paid tier)","Brand context/voice guidelines provided during setup (optional but recommended)","Internet connection for LLM API calls","OAuth authentication tokens for each connected social platform","Active Pygma account with scheduling tier (likely paid feature)","Platform API access (standard for Twitter, Instagram, LinkedIn, Facebook)","Brand voice guidelines document or examples provided by user","Tone descriptors and vocabulary preferences defined in settings","Optional: 3-5 example posts demonstrating desired brand voice","Active Pygma account with scheduling feature"],"failure_modes":["Generated content lacks distinctive brand voice — outputs are generic and require 30-60% manual editing for brand alignment","No fine-tuning on brand-specific language patterns or tone — uses only prompt-level customization","Cannot learn from past high-performing posts to improve generation quality over time","No A/B testing variants automatically — single output per generation request","No real-time optimization — posts publish at fixed times regardless of audience activity or trending topics","Limited platform coverage compared to Buffer/Later — may not support emerging platforms or niche networks","No built-in rescheduling if a post underperforms — requires manual intervention to adjust timing","Scheduling granularity likely limited to 15-30 minute intervals, not second-level precision","Voice customization is prompt-level only — no model fine-tuning, so brand voice adherence degrades with complex or unusual brand personalities","Requires manual example provision and tone description — no automatic voice extraction from historical posts","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":"2026-05-24T12:16:32.438Z","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=pygma","compare_url":"https://unfragile.ai/compare?artifact=pygma"}},"signature":"Ho4gU4kZyeryGCvVcyHFUk1buTbBnLbV39zZl44l9MG7EyZ3EBYkA+aRoIiOgXU1Dbf9TdOa4ekLu2c9PhI2BQ==","signedAt":"2026-06-22T01:09:28.699Z","signedBy":"unfragile.ai","version":1},"_links":{"self":"https://unfragile.ai/api/v1/passport/pygma","artifact":"https://unfragile.ai/pygma","verify":"https://unfragile.ai/api/v1/verify?slug=pygma","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"}}