{"passport":{"unfragile":{"@version":"1.0","version":"2026-05","artifact":{"id":"tool_booth-ai","slug":"booth-ai","name":"Booth AI","type":"product","url":"https://booth.ai","page_url":"https://unfragile.ai/booth-ai","categories":["automation"],"tags":[],"pricing":{"model":"freemium","free":true,"starting_price":null},"status":"active","verified":false},"capabilities":[{"id":"tool_booth-ai__cap_0","uri":"capability://image.visual.ai.powered.image.generation.with.style.and.prompt.customization","name":"ai-powered image generation with style and prompt customization","description":"Generates images from natural language prompts using underlying generative models (likely Stable Diffusion or similar), with support for style presets, aspect ratio control, and iterative refinement. The capability integrates prompt engineering patterns to translate user intent into model-compatible instructions, handling parameter mapping for resolution, guidance scale, and sampling methods without requiring users to understand model internals.","intents":["Generate product mockups and marketing visuals without hiring a designer","Create multiple variations of an image concept to test different aesthetics","Automate batch image generation for social media content calendars","Produce placeholder images for prototypes and wireframes quickly"],"best_for":["Freelance designers and content creators needing rapid asset generation","Small marketing teams producing social media content at scale","Product teams prototyping visual concepts before design handoff"],"limitations":["Generation quality and consistency vary based on prompt specificity; vague prompts produce unpredictable results","No fine-tuning or custom model training available — limited to pre-trained model capabilities","Batch generation may queue during peak usage; no guaranteed latency SLA","Copyright and licensing of generated images unclear for commercial use cases"],"requires":["Active Booth AI account (freemium or paid tier)","Internet connection for cloud-based generation","Text prompt in English or supported language"],"input_types":["text (natural language prompt)","numeric parameters (aspect ratio, seed for reproducibility)"],"output_types":["image (PNG or JPEG format)","metadata (generation parameters, model version)"],"categories":["image-visual","content-creation"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_booth-ai__cap_1","uri":"capability://automation.workflow.multi.app.workflow.automation.with.ai.triggered.actions","name":"multi-app workflow automation with ai-triggered actions","description":"Orchestrates sequences of actions across 100+ integrated third-party applications (Slack, Google Workspace, Shopify, etc.) triggered by AI outputs or user-defined conditions. Uses a trigger-action model where AI capabilities (image generation, text summarization, data extraction) feed into downstream app actions via API integrations, with conditional logic and variable mapping between steps. Implementation likely uses webhook-based event routing and OAuth/API key authentication for each connected app.","intents":["Automatically post AI-generated images to social media and update inventory systems in real-time","Trigger email notifications with AI-summarized content when specific conditions are met","Create tasks in project management tools based on AI-extracted insights from documents","Sync AI-generated product descriptions across multiple e-commerce platforms simultaneously"],"best_for":["Small teams and freelancers automating repetitive cross-app workflows","E-commerce businesses needing to sync AI-generated content across multiple sales channels","Marketing teams automating content distribution and social media posting"],"limitations":["Integration depth varies significantly by app — some support only basic CRUD operations while others enable advanced features","No built-in error recovery or retry logic; failed steps may require manual intervention","Rate limiting from third-party APIs can cause workflow delays; no intelligent queuing or backoff strategy documented","Complex multi-step workflows with conditional branching lack visual debugging tools, making troubleshooting difficult","Positioning as 'automation platform' overstates capabilities vs. dedicated tools like Zapier or Make, which offer deeper integration sophistication"],"requires":["Booth AI account with automation tier access","OAuth credentials or API keys for each connected third-party app","Supported third-party app (from the 100+ integration list)","Internet connectivity for webhook delivery"],"input_types":["AI outputs (generated images, text summaries, extracted data)","user-defined triggers (time-based, event-based, manual)","conditional logic (if-then rules)"],"output_types":["actions in third-party apps (create record, send message, update field)","execution logs and status reports"],"categories":["automation-workflow","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_booth-ai__cap_10","uri":"capability://automation.workflow.rate.limiting.and.quota.management.for.api.calls.and.ai.generation","name":"rate limiting and quota management for api calls and ai generation","description":"Enforces rate limits and usage quotas on API calls to third-party apps and AI generation requests, preventing excessive usage and cost overruns. Implements per-user, per-workflow, and per-app rate limiting with configurable thresholds, quota tracking with real-time usage dashboards, and alerts when approaching limits. Rate limiting may use token bucket or sliding window algorithms to smooth traffic, with graceful degradation (queuing or rejection) when limits are exceeded.","intents":["Prevent runaway workflows from making excessive API calls and incurring unexpected costs","Distribute limited API quotas fairly across multiple workflows and team members","Monitor AI generation usage and stay within freemium tier limits","Set spending caps to control costs for paid API integrations"],"best_for":["Teams managing shared API quotas across multiple workflows","Cost-conscious users on freemium tiers with limited usage allowances","Organizations with strict spending controls and budget limits"],"limitations":["Rate limit configuration may be limited to simple per-user or per-workflow thresholds; no fine-grained per-step limits","Quota tracking may have latency; real-time usage may not be immediately reflected in dashboards","No built-in cost estimation or forecasting; users must manually calculate costs based on usage","Rate limiting may cause workflow delays or failures if limits are too strict; no automatic scaling or burst allowance","Quota alerts may not be configurable; default thresholds may not match user needs"],"requires":["Booth AI account with rate limiting capability","Configuration of rate limits and quotas (per-user, per-workflow, or per-app)"],"input_types":["rate limit configuration (requests per minute, API calls per day, etc.)","quota thresholds and alert levels"],"output_types":["real-time usage dashboard","quota alerts and notifications","usage reports and analytics","rate limit enforcement (queuing or rejection)"],"categories":["automation-workflow","safety-moderation"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_booth-ai__cap_11","uri":"capability://automation.workflow.team.collaboration.and.workflow.sharing.with.role.based.access.control","name":"team collaboration and workflow sharing with role-based access control","description":"Enables multiple team members to collaborate on workflow creation, execution, and monitoring with role-based access control (RBAC) to restrict who can view, edit, or execute workflows. Implements user roles (viewer, editor, admin) with granular permissions, workflow sharing via links or team invitations, and activity tracking to see who modified workflows and when. Shared workflows may have separate execution contexts per user (e.g., each user's own API credentials) to prevent credential sharing.","intents":["Share a workflow template with team members so they can execute it with their own credentials","Collaborate on workflow design with multiple team members without overwriting each other's changes","Restrict access to sensitive workflows (e.g., financial data processing) to authorized team members only","Audit who created, modified, and executed workflows for compliance and accountability"],"best_for":["Teams collaborating on workflow design and automation","Organizations with security requirements for access control and audit trails","Distributed teams needing to share workflows across locations or time zones"],"limitations":["No built-in version control or conflict resolution for concurrent workflow edits; last-write-wins may cause data loss","Role-based access control may be limited to basic roles (viewer, editor, admin); no custom roles or fine-grained permissions","Workflow sharing may require manual credential setup for each user; no automatic credential inheritance or delegation","Activity tracking may not capture all modifications; audit trail completeness unclear","No built-in commenting or annotation system for collaborative workflow design"],"requires":["Booth AI account with team collaboration capability","Team members with Booth AI accounts","Workflow to share"],"input_types":["user email or team invitation link","role assignment (viewer, editor, admin)","workflow selection for sharing"],"output_types":["shared workflow access for team members","activity log showing modifications and executions","access control enforcement (read, write, execute permissions)"],"categories":["automation-workflow","safety-moderation"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_booth-ai__cap_2","uri":"capability://automation.workflow.template.based.automation.workflows.with.ai.customization","name":"template-based automation workflows with ai customization","description":"Provides pre-built workflow templates for common use cases (social media posting, email campaigns, content distribution) that users can customize by injecting AI capabilities (image generation, text rewriting) at specific steps. Templates abstract away workflow orchestration complexity, allowing non-technical users to define AI parameters (style, tone, length) via UI forms rather than code. Implementation likely uses a template engine with variable substitution and conditional step inclusion based on user selections.","intents":["Set up a social media posting workflow without understanding API integration or workflow logic","Customize a pre-built email campaign template to generate personalized product descriptions via AI","Reuse a template across multiple projects with different AI parameters and connected apps","Reduce time-to-automation for common business processes from hours to minutes"],"best_for":["Non-technical small business owners and freelancers","Marketing teams needing rapid deployment of AI-powered content workflows","Users with limited technical knowledge of APIs and workflow orchestration"],"limitations":["Template library is finite; custom workflows outside pre-built templates require manual configuration","Limited flexibility within templates — advanced conditional logic or multi-branch workflows not supported","Template customization UI may not expose all underlying AI parameters, constraining power users","No version control or rollback for template modifications; changes are immediate and irreversible"],"requires":["Booth AI account with template access","Selection of a compatible pre-built template","Credentials for apps referenced in the template"],"input_types":["template selection (UI dropdown)","AI parameter customization (form fields for style, tone, length)","app credential input (OAuth or API keys)"],"output_types":["configured workflow ready for execution","execution history and logs"],"categories":["automation-workflow","planning-reasoning"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_booth-ai__cap_3","uri":"capability://image.visual.batch.image.generation.and.processing.with.scheduling","name":"batch image generation and processing with scheduling","description":"Processes multiple image generation requests in a single batch operation, with support for scheduling batch jobs to run at specific times or intervals. Implements a job queue system that accepts bulk input (CSV with prompts, parameters) and generates images asynchronously, returning results via webhook or downloadable archive. Scheduling likely uses cron-like expressions or UI date/time pickers to defer execution, useful for off-peak processing or time-zone-aware content distribution.","intents":["Generate 50+ product images for an e-commerce catalog in one operation","Schedule daily batch generation of social media content to run overnight during off-peak hours","Process bulk image variations with different styles or aspect ratios without manual iteration","Automate image generation for content calendars weeks in advance"],"best_for":["E-commerce teams managing large product catalogs","Content creators producing bulk social media assets","Marketing teams planning content calendars with AI-generated visuals"],"limitations":["Batch processing may queue during peak usage; no guaranteed completion time or SLA","Input format limited to CSV or JSON; no support for database-driven batch sources","No built-in deduplication or quality filtering; all generated images returned regardless of quality","Batch size limits not documented; very large batches (1000+) may timeout or fail","Results delivery via webhook or archive download only; no streaming or incremental result delivery"],"requires":["Booth AI account with batch processing tier","Bulk input file (CSV or JSON) with prompts and parameters","Webhook endpoint for result delivery OR manual download capability"],"input_types":["CSV or JSON file with image prompts and parameters","scheduling parameters (cron expression or UI date/time picker)","batch configuration (number of variations, output format)"],"output_types":["generated images (PNG/JPEG)","batch execution report (success/failure count, generation times)","downloadable archive or webhook delivery"],"categories":["image-visual","automation-workflow","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_booth-ai__cap_4","uri":"capability://data.processing.analysis.ai.powered.content.summarization.and.extraction.for.workflow.automation","name":"ai-powered content summarization and extraction for workflow automation","description":"Extracts structured data and summaries from unstructured content (documents, emails, web pages) using NLP models, with output formatted for downstream automation steps. Supports multiple extraction patterns (key-value pairs, lists, structured JSON) and can be configured via UI or prompt templates. Extracted data feeds directly into workflow actions (create database records, populate email templates, trigger conditional logic) without manual data entry, using variable mapping to route extracted fields to appropriate app fields.","intents":["Extract key details from customer emails and auto-create CRM records with structured fields","Summarize long documents and automatically post summaries to team Slack channels","Extract product specifications from supplier documents and auto-populate e-commerce listings","Parse invoices and automatically create expense records in accounting software"],"best_for":["Teams processing high volumes of unstructured documents or emails","E-commerce businesses extracting product data from supplier documents","Customer service teams automating ticket creation from email content"],"limitations":["Extraction accuracy depends on document structure and clarity; poorly formatted or handwritten documents may fail","No built-in validation or confidence scoring; extracted data may be incorrect without verification","Extraction patterns must be pre-defined; dynamic or novel document formats require manual configuration","No OCR for scanned documents or images; text-based input only","Extracted data may require post-processing or cleanup before use in downstream systems"],"requires":["Booth AI account with content extraction capability","Unstructured content source (document, email, web page)","Extraction pattern definition (via UI template or custom prompt)"],"input_types":["text (document content, email body, web page text)","extraction pattern specification (JSON schema or natural language template)"],"output_types":["structured data (JSON, key-value pairs, lists)","summary text","confidence scores (if available)"],"categories":["data-processing-analysis","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_booth-ai__cap_5","uri":"capability://tool.use.integration.oauth.based.multi.app.credential.management.and.secure.api.integration","name":"oauth-based multi-app credential management and secure api integration","description":"Manages OAuth tokens and API credentials for 100+ integrated third-party applications, storing credentials securely and handling token refresh automatically. Implements a credential vault with encryption at rest, OAuth flow orchestration for apps supporting OAuth 2.0, and fallback to API key storage for apps without OAuth support. Credentials are scoped to specific workflows or users, preventing unauthorized access and enabling audit trails for credential usage.","intents":["Connect to multiple Slack workspaces, Google accounts, and Shopify stores without managing tokens manually","Revoke access to a third-party app without disrupting other connected apps","Audit which workflows have accessed which apps and when","Securely share workflows with team members without exposing API keys"],"best_for":["Teams managing multiple third-party app integrations across different users","Organizations with security requirements for credential management and audit trails","Users needing to connect multiple instances of the same app (e.g., multiple Slack workspaces)"],"limitations":["Credential storage and encryption implementation details not documented; security audit status unknown","Token refresh logic may fail silently, causing workflow failures without clear error messages","No built-in credential rotation or expiration policies; manual credential updates required","Audit trail may not capture all credential access events; compliance with SOC 2 or similar standards unclear","Credential sharing between team members may require manual re-authentication for each user"],"requires":["Booth AI account with multi-app integration capability","OAuth credentials or API keys for each connected app","Supported OAuth 2.0 flow or API key authentication method"],"input_types":["OAuth authorization code (from OAuth flow)","API key or token (for non-OAuth apps)","credential scope and permissions"],"output_types":["authenticated API client ready for workflow use","credential status and expiration information","audit log entries"],"categories":["tool-use-integration","safety-moderation"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_booth-ai__cap_6","uri":"capability://automation.workflow.visual.workflow.builder.with.drag.and.drop.automation.composition","name":"visual workflow builder with drag-and-drop automation composition","description":"Provides a visual interface for composing multi-step workflows using drag-and-drop blocks representing AI capabilities, app actions, and conditional logic. Implements a node-based graph editor where users connect blocks to define execution flow, with automatic validation of block connections and type checking between outputs and inputs. The builder generates executable workflow definitions (likely JSON or YAML) that are interpreted by the execution engine, enabling non-technical users to build complex automations without code.","intents":["Build a multi-step workflow connecting image generation, content extraction, and app actions without writing code","Visualize workflow logic to identify bottlenecks or errors before execution","Reuse workflow components across multiple automations by copying and pasting blocks","Debug failed workflows by inspecting intermediate outputs at each step"],"best_for":["Non-technical business users building custom automations","Teams collaborating on workflow design with mixed technical backgrounds","Users preferring visual composition over code-based workflow definition"],"limitations":["Visual editor may become cluttered with complex workflows (10+ steps); no built-in layout optimization or collapsible groups","Limited ability to express advanced logic (loops, recursion, dynamic branching) through visual blocks alone","No version control or diff visualization for workflow changes; collaboration on shared workflows may cause conflicts","Debugging is limited to inspecting outputs at each step; no breakpoints, step-through execution, or variable inspection","Export/import of workflows may not preserve all metadata or custom configurations"],"requires":["Booth AI account with workflow builder access","Web browser with JavaScript enabled","Basic understanding of workflow logic and app integration concepts"],"input_types":["drag-and-drop block selection","block configuration (parameters, conditions)","connection drawing between blocks"],"output_types":["executable workflow definition (JSON/YAML)","visual workflow diagram","workflow execution logs"],"categories":["automation-workflow","planning-reasoning"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_booth-ai__cap_7","uri":"capability://tool.use.integration.real.time.webhook.based.event.triggering.and.result.delivery","name":"real-time webhook-based event triggering and result delivery","description":"Enables workflows to be triggered by incoming webhooks from external systems and delivers workflow results back via outbound webhooks, supporting real-time event-driven automation. Implements webhook URL generation with signature verification (HMAC-SHA256 or similar) to ensure authenticity, payload parsing and variable extraction from webhook data, and retry logic for failed webhook deliveries. Supports both synchronous (wait for result) and asynchronous (fire-and-forget) webhook patterns, enabling tight integration with external systems without polling.","intents":["Trigger image generation workflow when a new product is added to Shopify via webhook","Send generated images back to the originating system via webhook for immediate use","Integrate Booth AI workflows into custom applications or legacy systems without API client libraries","Build real-time event-driven automations that respond to external system changes instantly"],"best_for":["Developers integrating Booth AI into custom applications or legacy systems","Teams needing real-time event-driven automation without polling","Systems requiring bidirectional integration (trigger + result delivery)"],"limitations":["Webhook payload size limits not documented; large payloads may be rejected","Retry logic for failed deliveries may not be configurable; default retry strategy unknown","Webhook signature verification implementation details not documented; security audit status unclear","No built-in webhook debugging or request/response logging; troubleshooting failed webhooks is difficult","Webhook URLs are long-lived; no automatic rotation or expiration, increasing security risk if exposed"],"requires":["Booth AI account with webhook capability","External system capable of sending HTTP POST requests","Webhook URL provided by Booth AI","Webhook payload in JSON format"],"input_types":["HTTP POST request with JSON payload","webhook signature header (for verification)"],"output_types":["HTTP response with status code","outbound webhook delivery to external system","execution logs and delivery status"],"categories":["tool-use-integration","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_booth-ai__cap_8","uri":"capability://automation.workflow.conditional.logic.and.branching.for.dynamic.workflow.execution","name":"conditional logic and branching for dynamic workflow execution","description":"Supports if-then-else branching and conditional logic within workflows, allowing different execution paths based on AI outputs, extracted data, or external conditions. Implements condition evaluation using simple comparison operators (equals, contains, greater than) and boolean logic (AND, OR, NOT), with support for dynamic condition values from previous workflow steps. Branching is visualized in the workflow builder as diverging paths, with each branch executing independently and results merged at convergence points.","intents":["Route workflow execution to different apps based on AI-extracted data (e.g., send to Slack if urgent, email if routine)","Skip image generation if a product already has images in the database","Execute different content extraction patterns based on document type detected by AI","Implement approval workflows where human review is required for certain conditions"],"best_for":["Workflows requiring intelligent routing based on data or AI outputs","Teams implementing approval or review gates in automated processes","Systems needing to handle exceptions or edge cases without manual intervention"],"limitations":["Condition syntax limited to simple comparisons; complex boolean logic may require multiple nested conditions","No support for loops or recursion; workflows cannot iterate over collections without external workarounds","Condition evaluation is synchronous; no async condition checking or polling for external state changes","No built-in timeout or fallback logic if a condition cannot be evaluated","Debugging conditional branches is difficult; no step-through execution or breakpoint support"],"requires":["Booth AI account with conditional logic capability","Workflow with at least one previous step providing data for condition evaluation","Condition definition using supported operators and syntax"],"input_types":["condition specification (left operand, operator, right operand)","dynamic values from previous workflow steps"],"output_types":["boolean result (true/false)","execution path selection (branch A or B)","merged results from converging branches"],"categories":["automation-workflow","planning-reasoning"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_booth-ai__cap_9","uri":"capability://automation.workflow.workflow.execution.history.and.audit.logging.with.step.level.visibility","name":"workflow execution history and audit logging with step-level visibility","description":"Records detailed execution history for each workflow run, including step-by-step logs, intermediate outputs, error messages, and execution timing. Implements a time-series database or log aggregation system to store execution events, with filtering and search capabilities to find specific runs or steps. Audit logs capture who triggered the workflow, when, with what inputs, and what outputs were produced, enabling compliance and troubleshooting. Step-level visibility allows users to inspect intermediate data between workflow steps without re-running the entire workflow.","intents":["Debug a failed workflow by inspecting outputs at each step to identify where the error occurred","Audit which workflows accessed which apps and when for compliance or security investigations","Replay a workflow with the same inputs to reproduce an issue or verify a fix","Monitor workflow performance and identify bottlenecks or slow steps"],"best_for":["Teams troubleshooting complex multi-step workflows","Organizations with compliance requirements for audit trails","DevOps or automation engineers optimizing workflow performance"],"limitations":["Execution history retention period not documented; old logs may be automatically deleted","No built-in data masking for sensitive information in logs (API keys, personal data); logs may expose secrets","Search and filtering capabilities may be limited; complex queries may not be supported","Step-level visibility may not include all intermediate variables; some internal state may be hidden","Audit logs may not capture all events (e.g., credential access, workflow modifications); compliance gaps possible"],"requires":["Booth AI account with execution history access","Completed workflow runs to inspect"],"input_types":["workflow run ID or date range filter","search query (step name, error message, etc.)"],"output_types":["execution timeline with step-by-step logs","intermediate outputs and variables at each step","error messages and stack traces","execution timing and performance metrics","audit log entries (who, what, when)"],"categories":["automation-workflow","safety-moderation"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":40,"verified":false,"data_access_risk":"high","permissions":["Active Booth AI account (freemium or paid tier)","Internet connection for cloud-based generation","Text prompt in English or supported language","Booth AI account with automation tier access","OAuth credentials or API keys for each connected third-party app","Supported third-party app (from the 100+ integration list)","Internet connectivity for webhook delivery","Booth AI account with rate limiting capability","Configuration of rate limits and quotas (per-user, per-workflow, or per-app)","Booth AI account with team collaboration capability"],"failure_modes":["Generation quality and consistency vary based on prompt specificity; vague prompts produce unpredictable results","No fine-tuning or custom model training available — limited to pre-trained model capabilities","Batch generation may queue during peak usage; no guaranteed latency SLA","Copyright and licensing of generated images unclear for commercial use cases","Integration depth varies significantly by app — some support only basic CRUD operations while others enable advanced features","No built-in error recovery or retry logic; failed steps may require manual intervention","Rate limiting from third-party APIs can cause workflow delays; no intelligent queuing or backoff strategy documented","Complex multi-step workflows with conditional branching lack visual debugging tools, making troubleshooting difficult","Positioning as 'automation platform' overstates capabilities vs. dedicated tools like Zapier or Make, which offer deeper integration sophistication","Rate limit configuration may be limited to simple per-user or per-workflow thresholds; no fine-grained per-step limits","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":"2026-05-24T12:16:29.715Z","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=booth-ai","compare_url":"https://unfragile.ai/compare?artifact=booth-ai"}},"signature":"svzbZmTvblCBbzxyrkNt76g8oUiq4uoWDUHM6Mf9jXIojsQ7CUSFdAL4uWSKlp7rD8k+70reKLDW2Px68O/oDQ==","signedAt":"2026-06-20T20:00:52.762Z","signedBy":"unfragile.ai","version":1},"_links":{"self":"https://unfragile.ai/api/v1/passport/booth-ai","artifact":"https://unfragile.ai/booth-ai","verify":"https://unfragile.ai/api/v1/verify?slug=booth-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"}}