{"passport":{"unfragile":{"@version":"1.0","version":"2026-05","artifact":{"id":"tool_antispace","slug":"antispace","name":"Antispace","type":"product","url":"https://www.antispace.sh","page_url":"https://unfragile.ai/antispace","categories":["automation"],"tags":[],"pricing":{"model":"paid","free":false,"starting_price":null},"status":"active","verified":false},"capabilities":[{"id":"tool_antispace__cap_0","uri":"capability://search.retrieval.unified.notification.aggregation.across.platforms","name":"unified-notification-aggregation-across-platforms","description":"Consolidates notifications and messages from email, Slack, GitHub, and calendar into a single AI-indexed feed using a multi-source connector architecture. The system normalizes heterogeneous data formats (IMAP for email, Slack API webhooks, GitHub event streams, CalDAV for calendar) into a unified message schema, then applies semantic ranking to surface high-priority items across all platforms in a single view. This eliminates context-switching by presenting a chronologically and relevance-ordered feed rather than requiring users to check each platform separately.","intents":["I want to see all my notifications from email, Slack, GitHub, and calendar in one place without switching apps","I need to quickly identify which messages across all platforms are actually urgent vs noise","I want to process my inbox holistically rather than context-switching between five different native apps"],"best_for":["remote-first software engineers managing 5+ communication channels","knowledge workers with high notification volume across disparate platforms","teams using GitHub, Slack, and email simultaneously for project coordination"],"limitations":["Aggregation latency depends on API polling frequency — real-time updates not guaranteed for all platforms","GitHub event filtering limited to repository-level webhooks; fine-grained issue/PR filtering requires additional configuration","Calendar integration shows events but lacks deep meeting context (attendee sentiment, pre-meeting notes) available in native calendar apps","No offline access to aggregated feed; requires active internet connection and API availability"],"requires":["Active email account (IMAP-compatible)","Slack workspace with bot token permissions (chat:read, channels:read, users:read)","GitHub personal access token with repo:read and notifications:read scopes","CalDAV-compatible calendar (Google Calendar, Outlook, Apple Calendar)","Antispace account with API credentials configured"],"input_types":["email messages (IMAP protocol)","Slack messages and threads (Slack API)","GitHub notifications and events (GitHub API)","calendar events (CalDAV/iCal format)"],"output_types":["unified feed (JSON or structured message objects)","ranked notification list (with priority scores)","filtered subsets by platform or urgency"],"categories":["search-retrieval","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_antispace__cap_1","uri":"capability://text.generation.language.conversational.email.drafting.and.generation","name":"conversational-email-drafting-and-generation","description":"Enables users to compose emails through natural language prompts rather than traditional text editing, leveraging an LLM to interpret intent and generate contextually appropriate email bodies. The system accepts conversational input (e.g., 'remind John about the deadline next week'), retrieves relevant context from the unified inbox (prior email threads, calendar events, GitHub discussions), and generates a draft email with appropriate tone and detail level. Users can then refine or send the generated draft, with the system learning from edits to improve future generations.","intents":["I want to draft an email by describing what I need to say rather than typing it out manually","I need to generate a professional email response quickly without worrying about tone or formatting","I want the system to pull context from prior conversations and calendar to make my email more relevant"],"best_for":["busy engineers who spend significant time on email composition","non-native English speakers who want assistance with professional tone","teams with high email volume where drafting speed is a bottleneck"],"limitations":["Generated emails may lack nuance for sensitive or emotionally complex communications; human review strongly recommended before sending","Context retrieval limited to indexed inbox data; cannot access external documents or web content unless explicitly provided","Tone calibration depends on training data quality; may default to overly formal or casual depending on user profile","No built-in plagiarism detection; users responsible for ensuring generated content is original","Requires explicit user confirmation before sending; no auto-send capability to prevent accidental sends"],"requires":["Antispace account with email integration configured","Connected email account (Gmail, Outlook, or IMAP-compatible)","Sufficient inbox history (at least 50 prior emails) for context retrieval to be effective","LLM API access (OpenAI, Anthropic, or self-hosted model)"],"input_types":["natural language prompts (text)","optional recipient email address","optional prior email thread ID for context"],"output_types":["email draft (plain text or HTML)","confidence score for tone/appropriateness","suggested subject line"],"categories":["text-generation-language","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_antispace__cap_10","uri":"capability://text.generation.language.ai.powered.email.tone.and.sentiment.analysis","name":"ai-powered-email-tone-and-sentiment-analysis","description":"Analyzes incoming emails and generated email drafts for tone, sentiment, and potential issues (e.g., overly harsh, unclear, potentially offensive) and provides feedback to users. The system can flag emails that may damage relationships or cause miscommunication, and suggest rewrites with improved tone. For outgoing drafts, it provides tone guidance before sending to help users communicate more effectively.","intents":["I want to know if an incoming email is angry, sarcastic, or contains hidden criticism before I respond","I need feedback on the tone of my email draft before sending it","I want to avoid sending emails that might damage relationships or cause miscommunication"],"best_for":["non-native English speakers who want tone feedback","remote teams where written communication is critical and tone is easily misunderstood","professionals in high-stakes communications (customer support, executive correspondence)"],"limitations":["Tone analysis may be culturally biased; different cultures have different communication norms","Sarcasm and irony often misdetected by sentiment analysis models","Tone feedback may be overly cautious or conservative, flagging neutral messages as potentially problematic","No support for domain-specific tone (e.g., technical vs business communication)","Tone suggestions may not align with user's personal communication style or company culture"],"requires":["Antispace account with tone analysis feature enabled","Connected email integration","LLM or sentiment analysis model API access"],"input_types":["incoming email message (text)","outgoing email draft (text)"],"output_types":["sentiment score (negative, neutral, positive)","tone classification (angry, sarcastic, formal, casual, etc.)","tone issues flagged (harsh language, unclear, potentially offensive)","suggested rewrites with improved tone","tone feedback score (0-1 scale)"],"categories":["text-generation-language","safety-moderation"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_antispace__cap_11","uri":"capability://data.processing.analysis.unified.data.export.and.compliance.reporting","name":"unified-data-export-and-compliance-reporting","description":"Enables users to export their unified inbox data (emails, Slack messages, GitHub activity, calendar events, tasks, notes) in standardized formats (JSON, CSV, PDF) for backup, compliance, or migration purposes. The system can generate compliance reports (e.g., data retention, access logs, deletion records) and supports GDPR/CCPA data subject access requests by exporting all personal data in a portable format.","intents":["I need to export all my communication data for backup or archival purposes","I want to migrate my data from Antispace to another tool","I need to generate compliance reports for regulatory requirements (GDPR, CCPA)"],"best_for":["enterprises with strict data governance and compliance requirements","users concerned about data portability and vendor lock-in","teams migrating from other tools to Antispace or vice versa"],"limitations":["Export performance may be slow for very large data sets (100k+ messages); may require background job processing","Exported data format may not be directly importable into other tools; requires custom transformation","Compliance reports limited to data Antispace has access to; cannot include data from external sources","No support for incremental exports; full export required each time","Data anonymization not supported; exported data contains full message content and metadata"],"requires":["Antispace account with export feature enabled","Sufficient storage space for exported data","Optional: compliance/legal team to review exported data"],"input_types":["export request (format, date range, data types)","compliance report request (type, date range)"],"output_types":["exported data files (JSON, CSV, PDF)","compliance report (PDF or structured format)","data manifest (list of exported data with metadata)"],"categories":["data-processing-analysis","safety-moderation"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_antispace__cap_2","uri":"capability://data.processing.analysis.ai.driven.message.prioritization.and.filtering","name":"ai-driven-message-prioritization-and-filtering","description":"Applies machine learning-based classification to incoming messages across all platforms to automatically rank and filter by urgency, relevance, and action-required status. The system learns from user behavior (which messages are opened, replied to, or marked as important) and explicit feedback to refine its classification model. Messages are tagged with priority scores and categorized (urgent, actionable, informational, spam) without requiring manual rule configuration, allowing users to focus on high-signal items first.","intents":["I want the system to automatically separate urgent messages from noise without me having to create filters","I need to see only messages that require my action, not informational updates I can read later","I want the system to learn what I consider important based on how I interact with messages"],"best_for":["knowledge workers receiving 100+ messages daily across multiple platforms","engineering teams where GitHub notifications and Slack messages often contain false urgency","remote-first organizations where notification overload is a productivity blocker"],"limitations":["Classification accuracy depends on sufficient historical data; new users may experience poor prioritization for first 1-2 weeks","False negatives (missed urgent messages) are possible, especially for novel communication patterns or emergencies","System cannot distinguish context-dependent urgency (e.g., a message urgent only if a specific project is active); requires explicit user feedback to improve","No transparency into classification reasoning; users cannot easily understand why a message was marked as low-priority","Bias risk: system may over-prioritize messages from frequent senders or certain platforms based on historical patterns"],"requires":["Antispace account with at least 2 weeks of message history for training data","Connected integrations (email, Slack, GitHub, calendar)","User feedback loop enabled (ability to mark messages as correctly/incorrectly prioritized)","ML model inference capability (cloud-based or local, depending on deployment)"],"input_types":["message metadata (sender, timestamp, platform, thread context)","message content (subject, body, attachments)","user interaction signals (open, reply, mark as important, delete)"],"output_types":["priority score (0-1 scale)","urgency classification (urgent, actionable, informational, spam)","confidence score for classification","filtered message lists by priority tier"],"categories":["data-processing-analysis","planning-reasoning"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_antispace__cap_3","uri":"capability://text.generation.language.slack.message.automation.and.response.generation","name":"slack-message-automation-and-response-generation","description":"Automates Slack interactions by generating contextually appropriate responses to messages and threads, and automatically posting summaries or alerts to channels based on triggers from other platforms. The system monitors Slack conversations, understands thread context and mentions, and can draft replies or channel messages using the same conversational interface as email. Integration with GitHub and email allows Antispace to post relevant updates (e.g., 'PR merged', 'deadline approaching') to designated Slack channels without manual posting.","intents":["I want to respond to Slack messages conversationally without typing in Slack's UI","I need to automatically post GitHub or email updates to Slack channels without manual copy-paste","I want to generate summaries of Slack threads and post them to a channel for visibility"],"best_for":["engineering teams using Slack as primary communication hub","teams coordinating across GitHub, email, and Slack simultaneously","distributed teams where async Slack updates reduce meeting overhead"],"limitations":["Generated Slack responses may lack tone nuance; risk of appearing robotic or missing sarcasm/context in casual conversations","Thread context retrieval limited to Slack API's message history window (typically 90 days); older context unavailable","Cannot generate responses to complex discussions requiring deep domain knowledge or sensitive judgment calls","Automated channel posts may create notification fatigue if trigger rules are too broad","No native support for Slack workflows or custom integrations; limited to standard message posting"],"requires":["Slack workspace with bot token (chat:write, channels:read, users:read, reactions:read)","Antispace account with Slack integration configured","GitHub and/or email integrations for cross-platform trigger support","Designated Slack channels for automated posts (to prevent spam in general channels)"],"input_types":["Slack message or thread (via Slack API)","natural language prompt for response generation","GitHub event or email trigger (for automated posts)"],"output_types":["Slack message draft (plain text or formatted blocks)","posted message to channel or thread","summary of thread (formatted for Slack)"],"categories":["text-generation-language","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_antispace__cap_4","uri":"capability://data.processing.analysis.github.notification.triage.and.action.suggestion","name":"github-notification-triage-and-action-suggestion","description":"Monitors GitHub notifications (pull requests, issues, mentions, reviews) and automatically categorizes them by type and urgency, then suggests actions (review, merge, comment, close) based on PR/issue status and user role. The system understands GitHub-specific context (code diff size, review status, CI/CD results, issue labels) and can generate draft comments or review suggestions. Integration with email and Slack allows Antispace to surface critical GitHub events (failing CI, blocked PRs, assigned reviews) in the unified inbox and post summaries to Slack.","intents":["I want to see all my GitHub notifications (PRs, issues, mentions) in one place without checking GitHub constantly","I need the system to suggest what action I should take on each PR or issue based on its status","I want to generate code review comments or PR feedback without leaving Antispace"],"best_for":["software engineers managing multiple GitHub repositories","engineering teams with high PR volume and complex review workflows","maintainers of open-source projects with many incoming issues and PRs"],"limitations":["Action suggestions limited to common patterns (e.g., 'needs review', 'ready to merge'); cannot handle complex domain-specific decisions","Code diff analysis limited to text-based diffs; cannot understand visual changes or architecture implications without explicit context","Generated code review comments may lack specificity or miss subtle bugs; human review of generated feedback recommended","GitHub API rate limits may throttle real-time notification updates if monitoring many repositories","No support for GitHub Enterprise or self-hosted GitHub instances (API endpoints differ)"],"requires":["GitHub personal access token with repo:read, notifications:read, pull_requests:read, issues:read scopes","Antispace account with GitHub integration configured","At least one GitHub repository with active PRs or issues for meaningful triage","Optional: Slack integration for cross-platform notifications"],"input_types":["GitHub notifications (via GitHub API)","PR/issue metadata (title, description, labels, status)","code diffs (for review suggestion)","CI/CD status (from GitHub Actions or linked services)"],"output_types":["categorized notification list (by type: PR, issue, mention, review request)","action suggestions (review, merge, comment, close)","draft code review comments","summary of critical GitHub events"],"categories":["data-processing-analysis","planning-reasoning"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_antispace__cap_5","uri":"capability://memory.knowledge.calendar.aware.task.and.meeting.context.injection","name":"calendar-aware-task-and-meeting-context-injection","description":"Integrates calendar events into the unified inbox and uses meeting context to enhance email and Slack message relevance. The system identifies calendar events related to incoming messages (e.g., a Slack message about a project mentioned in an upcoming meeting) and surfaces that context to the user. It can also generate meeting preparation summaries (relevant emails, GitHub PRs, Slack discussions) and suggest calendar-based task deadlines based on email or GitHub activity.","intents":["I want to see which calendar events are relevant to the messages I'm receiving","I need a summary of relevant emails and discussions before each meeting","I want the system to suggest task deadlines based on my calendar availability"],"best_for":["knowledge workers with back-to-back meetings who need context before each call","project managers coordinating across email, Slack, GitHub, and calendar","teams where meeting preparation is a significant time sink"],"limitations":["Calendar context matching relies on keyword/entity extraction; may miss implicit connections between messages and meetings","Meeting preparation summaries limited to indexed inbox data; cannot access external documents or shared drives","No support for calendar-based task scheduling (e.g., auto-creating tasks from emails); requires manual task creation","Timezone handling may be imperfect for distributed teams; calendar times shown in user's local timezone only","Cannot access meeting notes or recordings; limited to event title, attendees, and time"],"requires":["CalDAV-compatible calendar (Google Calendar, Outlook, Apple Calendar)","Antispace account with calendar integration configured","Email, Slack, and/or GitHub integrations for context matching","At least 2 weeks of calendar history for pattern recognition"],"input_types":["calendar events (title, attendees, time, description)","email messages, Slack messages, GitHub notifications","task or deadline information (from email or GitHub)"],"output_types":["calendar events with related message context","meeting preparation summary (relevant emails, PRs, discussions)","suggested task deadlines","attendee list with relevant context"],"categories":["memory-knowledge","planning-reasoning"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_antispace__cap_6","uri":"capability://text.generation.language.natural.language.task.creation.and.tracking","name":"natural-language-task-creation-and-tracking","description":"Allows users to create and manage tasks through conversational prompts (e.g., 'remind me to review John's PR by Friday') without leaving the unified inbox. The system extracts task intent, deadline, and priority from natural language, creates a task record, and integrates with calendar and reminders. Tasks can be linked to source messages (emails, Slack, GitHub) for context, and the system can generate task summaries or status updates across platforms.","intents":["I want to create tasks from emails or Slack messages without switching to a task management app","I need the system to extract deadlines and priorities from natural language prompts","I want tasks to be linked to their source messages for easy context retrieval"],"best_for":["busy professionals who want to capture tasks without context-switching","teams using Antispace as a unified inbox who want integrated task management","users who prefer conversational task creation over form-based interfaces"],"limitations":["Deadline extraction from natural language is imperfect; ambiguous dates (e.g., 'next week') may be misinterpreted","No native task persistence; tasks stored in Antispace only, not synced to external task managers (Todoist, Asana, etc.)","Task reminders limited to Antispace notifications; no integration with OS-level reminders or calendar alerts","No support for recurring tasks or complex task dependencies","Task status updates require manual user input; no automatic status detection from linked messages"],"requires":["Antispace account with task management feature enabled","Connected email, Slack, and/or GitHub integrations for task source linking","Optional: calendar integration for deadline visualization"],"input_types":["natural language task prompt (text)","optional source message ID (email, Slack, GitHub)","optional deadline or priority specification"],"output_types":["task record (with title, deadline, priority, source link)","task list (filtered by deadline, priority, or status)","task reminder notification","task summary or status update"],"categories":["text-generation-language","planning-reasoning"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_antispace__cap_7","uri":"capability://search.retrieval.multi.platform.search.and.retrieval.with.semantic.ranking","name":"multi-platform-search-and-retrieval-with-semantic-ranking","description":"Provides a unified search interface across email, Slack, GitHub, and calendar using semantic search (embedding-based) rather than keyword matching. Users can search for concepts or intents (e.g., 'discussions about the API redesign') and retrieve relevant messages from all platforms ranked by semantic relevance. The system maintains embeddings for all indexed messages and uses vector similarity to surface contextually related items even if keywords don't match exactly.","intents":["I want to search across all my communication platforms with a single query","I need to find discussions about a topic even if the exact keywords aren't in the message","I want to retrieve context from past conversations across email, Slack, and GitHub"],"best_for":["knowledge workers who frequently need to retrieve context from past communications","teams with large message archives where keyword search is insufficient","users who want to avoid manually searching each platform separately"],"limitations":["Semantic search quality depends on embedding model quality; may miss domain-specific or technical concepts","Search latency higher than keyword search due to vector similarity computation; may be slow for very large message archives","Embedding generation and storage requires significant compute and storage resources; may impact system performance","No support for complex boolean queries or field-specific filtering (e.g., 'from:john AND before:2024-01-01')","Privacy concern: embeddings may leak information about message content if stored insecurely"],"requires":["Antispace account with search feature enabled","Connected integrations (email, Slack, GitHub, calendar)","Sufficient message history (at least 100 messages) for meaningful search results","Embedding model API access (OpenAI, Anthropic, or self-hosted)"],"input_types":["natural language search query (text)","optional filters (platform, date range, sender)"],"output_types":["ranked list of messages (with relevance scores)","message snippets with highlighted context","aggregated results by platform"],"categories":["search-retrieval","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_antispace__cap_8","uri":"capability://text.generation.language.intelligent.note.synthesis.from.communications","name":"intelligent-note-synthesis-from-communications","description":"Automatically generates notes or summaries from email threads, Slack conversations, GitHub discussions, and meetings by extracting key decisions, action items, and context. The system can create meeting notes from calendar events and related messages, or generate project summaries from GitHub activity and email discussions. Notes are stored in the unified inbox and can be linked to source messages for easy reference.","intents":["I want the system to automatically generate meeting notes from emails and Slack discussions before/after a meeting","I need summaries of project progress extracted from GitHub PRs, issues, and email discussions","I want to capture key decisions and action items from email threads without manual note-taking"],"best_for":["project managers and team leads who need to track decisions and action items","distributed teams where async communication is primary and notes are critical","knowledge workers who want to reduce manual note-taking overhead"],"limitations":["Note synthesis quality depends on message content clarity; may miss implicit decisions or context","Action item extraction may be incomplete or inaccurate; requires human review and correction","No support for custom note templates or structured note formats; notes are free-form text","Cannot synthesize notes from external documents or sources outside the unified inbox","No integration with note-taking apps (Notion, OneNote, Obsidian); notes stored in Antispace only"],"requires":["Antispace account with note synthesis feature enabled","Connected integrations (email, Slack, GitHub, calendar)","Sufficient message history and context for meaningful synthesis","LLM API access for summarization"],"input_types":["email thread (multiple messages)","Slack conversation or thread","GitHub discussion or issue thread","calendar event with related messages"],"output_types":["meeting notes (with decisions, action items, attendees)","project summary (with progress, blockers, next steps)","decision log (with date, context, decision)","action item list (with owner, deadline, status)"],"categories":["text-generation-language","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_antispace__cap_9","uri":"capability://automation.workflow.cross.platform.context.aware.automation.rules","name":"cross-platform-context-aware-automation-rules","description":"Allows users to define automation rules that trigger actions across multiple platforms based on conditions from any platform. For example, a rule might automatically post a Slack message when a GitHub PR is merged, or create a task when an email with a specific keyword is received. Rules use a condition-action model where conditions can reference message content, metadata, or user behavior, and actions can span email, Slack, GitHub, calendar, and tasks.","intents":["I want to automatically post GitHub updates to Slack without manual copy-paste","I need to create tasks automatically when emails with certain keywords arrive","I want to trigger actions across platforms based on conditions from any platform"],"best_for":["engineering teams with repetitive cross-platform workflows","teams using multiple tools and wanting to reduce manual integration work","power users comfortable with rule-based automation"],"limitations":["Rule complexity limited to simple condition-action pairs; no support for complex logic or branching","No built-in debugging or logging for failed automation rules; troubleshooting requires manual investigation","Rule execution latency may be high (seconds to minutes) depending on platform API availability","No support for conditional logic (if-then-else); rules are simple trigger-action pairs","Risk of automation loops (e.g., rule A triggers rule B which triggers rule A); no built-in loop detection"],"requires":["Antispace account with automation rules feature enabled","Connected integrations (email, Slack, GitHub, calendar, tasks)","Understanding of rule syntax and available conditions/actions","API permissions for all platforms involved in rules"],"input_types":["rule definition (condition + action)","condition parameters (message content, metadata, user behavior)","action parameters (target platform, message content, task details)"],"output_types":["rule execution log (success/failure)","triggered actions (emails, Slack messages, tasks, calendar events)","rule status and statistics"],"categories":["automation-workflow","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":40,"verified":false,"data_access_risk":"high","permissions":["Active email account (IMAP-compatible)","Slack workspace with bot token permissions (chat:read, channels:read, users:read)","GitHub personal access token with repo:read and notifications:read scopes","CalDAV-compatible calendar (Google Calendar, Outlook, Apple Calendar)","Antispace account with API credentials configured","Antispace account with email integration configured","Connected email account (Gmail, Outlook, or IMAP-compatible)","Sufficient inbox history (at least 50 prior emails) for context retrieval to be effective","LLM API access (OpenAI, Anthropic, or self-hosted model)","Antispace account with tone analysis feature enabled"],"failure_modes":["Aggregation latency depends on API polling frequency — real-time updates not guaranteed for all platforms","GitHub event filtering limited to repository-level webhooks; fine-grained issue/PR filtering requires additional configuration","Calendar integration shows events but lacks deep meeting context (attendee sentiment, pre-meeting notes) available in native calendar apps","No offline access to aggregated feed; requires active internet connection and API availability","Generated emails may lack nuance for sensitive or emotionally complex communications; human review strongly recommended before sending","Context retrieval limited to indexed inbox data; cannot access external documents or web content unless explicitly provided","Tone calibration depends on training data quality; may default to overly formal or casual depending on user profile","No built-in plagiarism detection; users responsible for ensuring generated content is original","Requires explicit user confirmation before sending; no auto-send capability to prevent accidental sends","Tone analysis may be culturally biased; different cultures have different communication norms","builder identity is not verified yet","no observed match outcomes yet"],"rank_breakdown":{"adoption":0.31666666666666665,"quality":0.72,"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":"2026-05-24T12:16:29.133Z","last_scraped_at":"2026-04-05T13:23:42.561Z","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=antispace","compare_url":"https://unfragile.ai/compare?artifact=antispace"}},"signature":"Jgz+PsubuJyeIE0FFq94+NoZztOpg76/QEPL2pyWgEWuuYvLbG1ZPIVPywwCXxcpA1XOzNJIBK4oSeHKbBjGBg==","signedAt":"2026-06-19T21:30:03.367Z","signedBy":"unfragile.ai","version":1},"_links":{"self":"https://unfragile.ai/api/v1/passport/antispace","artifact":"https://unfragile.ai/antispace","verify":"https://unfragile.ai/api/v1/verify?slug=antispace","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"}}