{"passport":{"unfragile":{"@version":"1.0","version":"2026-05","artifact":{"id":"tool_abyss","slug":"abyss","name":"Abyss","type":"product","url":"https://www.abysshub.com","page_url":"https://unfragile.ai/abyss","categories":["app-builders","automation"],"tags":[],"pricing":{"model":"freemium","free":true,"starting_price":null},"status":"active","verified":false},"capabilities":[{"id":"tool_abyss__cap_0","uri":"capability://automation.workflow.visual.widget.based.workflow.builder","name":"visual widget-based workflow builder","description":"Provides a drag-and-drop interface for constructing automation workflows without code, using a visual canvas where users connect pre-built widget components (triggers, actions, conditions) to define data flow and execution logic. The builder abstracts API complexity by exposing only high-level configuration parameters for each widget, with the platform handling underlying HTTP calls, authentication, and payload transformation internally.","intents":["I need to connect Slack notifications to a Google Sheet update without writing code","I want to build a workflow that triggers when an email arrives and performs multiple downstream actions","I need to create conditional logic (if/then) in my automation without learning a programming language"],"best_for":["non-technical operations managers building 3-5 core workflows","solo entrepreneurs automating repetitive business tasks","small teams without dedicated DevOps or integration engineers"],"limitations":["Widget abstraction limits access to advanced API features not exposed in the UI","Complex conditional logic beyond simple if/then/else requires workarounds or custom code","No version control or rollback mechanism for workflow changes"],"requires":["Web browser with modern JavaScript support","Account credentials for connected services (Slack, email, spreadsheets, etc.)","Basic understanding of workflow concepts (triggers, actions, data mapping)"],"input_types":["widget configuration (form fields, dropdowns, text input)","connected service credentials (OAuth tokens, API keys)"],"output_types":["executable workflow definition (likely JSON or proprietary format)","visual workflow diagram for documentation"],"categories":["automation-workflow","no-code-platform"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_abyss__cap_1","uri":"capability://tool.use.integration.conversational.ai.widget.integration","name":"conversational ai widget integration","description":"Embeds large language model capabilities directly into workflow widgets, allowing users to define natural language prompts that process data flowing through automation pipelines. The widget likely wraps an LLM API (OpenAI, Anthropic, or similar) with pre-configured prompts for common tasks like text classification, summarization, or data extraction, handling token management and response parsing automatically.","intents":["I want to classify incoming emails by sentiment or category using AI without writing prompt engineering code","I need to extract structured data from unstructured text in my workflow","I want to generate summaries or responses based on data flowing through my automation"],"best_for":["operations teams needing intelligent data classification in workflows","customer support teams automating email triage with AI","small businesses extracting insights from unstructured customer data"],"limitations":["LLM response latency adds 1-5 seconds per workflow execution","No fine-tuning or custom model support — limited to base model capabilities","Token costs for LLM calls may accumulate with high-volume workflows","Prompt engineering is abstracted, limiting control over model behavior for edge cases"],"requires":["Active Abyss account with AI widget feature enabled","LLM API credits or subscription (if using external models)","Text or structured data input from upstream workflow steps"],"input_types":["text (email body, chat message, document content)","structured data (JSON, CSV rows)","natural language prompt configuration"],"output_types":["text (classification label, summary, generated response)","structured data (extracted fields, confidence scores)"],"categories":["tool-use-integration","text-generation-language"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_abyss__cap_2","uri":"capability://tool.use.integration.multi.service.credential.management.and.oauth.orchestration","name":"multi-service credential management and oauth orchestration","description":"Manages authentication tokens and API credentials for connected services (Slack, email providers, Google Workspace, etc.) through a centralized credential store, handling OAuth 2.0 flows, token refresh, and secure credential injection into workflow execution contexts. The platform abstracts authentication complexity by managing token lifecycle and re-authentication without user intervention.","intents":["I want to connect my Slack workspace to Abyss without manually managing API tokens","I need my workflows to automatically refresh authentication when tokens expire","I want to securely store credentials for multiple email accounts without exposing them in workflow definitions"],"best_for":["teams managing workflows across multiple SaaS tools","organizations with security policies requiring centralized credential management","users without technical knowledge of OAuth or API authentication"],"limitations":["Credential storage security depends on Abyss infrastructure — no option for self-hosted credential management","Limited visibility into token expiration or refresh failures","No support for service-to-service authentication (e.g., mTLS, client certificates)"],"requires":["OAuth-compatible service (Slack, Google, Microsoft, etc.) or API key","Permission to authorize Abyss as a third-party application","Active Abyss account"],"input_types":["OAuth authorization grant (via browser redirect)","API key or service account credentials"],"output_types":["secure credential reference (token ID, not the token itself)","authentication status (valid, expired, revoked)"],"categories":["tool-use-integration","safety-moderation"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_abyss__cap_3","uri":"capability://automation.workflow.trigger.based.workflow.execution.with.event.routing","name":"trigger-based workflow execution with event routing","description":"Monitors external events (email arrival, Slack message, webhook calls, scheduled intervals) and automatically initiates workflow execution when trigger conditions are met. The platform likely uses event listeners or polling mechanisms to detect triggers, then routes the event payload to the appropriate workflow instance with context preservation (e.g., email metadata, message content).","intents":["I want a workflow to automatically run every time someone posts in a specific Slack channel","I need to trigger an automation when a new email arrives with specific keywords","I want to run a workflow on a schedule (daily, weekly) without manual intervention"],"best_for":["teams automating reactive workflows (event-driven automation)","operations requiring scheduled, recurring tasks","users building notification or alert systems"],"limitations":["Webhook-based triggers may have latency (seconds to minutes) depending on polling frequency","No guaranteed delivery for high-volume event streams","Limited trigger filtering — complex event matching may require downstream conditional logic","Scheduled triggers may not support sub-minute intervals"],"requires":["Connected service with event support (Slack, email, webhooks)","Workflow definition with at least one trigger configured","Abyss service running and monitoring for events"],"input_types":["event metadata (email headers, Slack message, webhook payload)","trigger configuration (keywords, channel names, schedule expressions)"],"output_types":["workflow execution context (event data passed to first action)","execution logs and status"],"categories":["automation-workflow","planning-reasoning"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_abyss__cap_4","uri":"capability://data.processing.analysis.data.transformation.and.field.mapping.between.services","name":"data transformation and field mapping between services","description":"Enables users to map and transform data flowing between workflow steps, converting field formats, restructuring nested data, and applying simple transformations (concatenation, case conversion, date formatting) through a visual mapping interface. The platform abstracts JSON path navigation and data type conversion, allowing non-technical users to connect incompatible data schemas without writing code.","intents":["I need to map a Slack user ID to an email address before sending to my CRM","I want to combine first and last name fields from one service into a full name field for another","I need to convert a date format from one service to match another service's expected format"],"best_for":["teams integrating services with incompatible data schemas","workflows requiring simple data transformations","non-technical users building multi-step automations"],"limitations":["Limited to simple transformations — complex logic (regex, conditional transforms) may not be supported","No support for nested data structures beyond basic flattening","Difficult to debug data transformation errors without technical logs","No reusable transformation templates or libraries"],"requires":["Source data with defined schema (from previous workflow step)","Target service with expected field structure","Visual mapping interface or configuration form"],"input_types":["source data (JSON, form fields, API response)","target schema definition"],"output_types":["transformed data matching target schema","mapping configuration (for documentation)"],"categories":["data-processing-analysis","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_abyss__cap_5","uri":"capability://planning.reasoning.conditional.branching.and.decision.logic.in.workflows","name":"conditional branching and decision logic in workflows","description":"Allows workflows to branch execution paths based on data conditions (if/then/else logic), evaluating expressions against data flowing through the workflow and routing to different action sequences. The platform likely provides a visual condition builder with pre-defined operators (equals, contains, greater than) and boolean logic, abstracting expression syntax from non-technical users.","intents":["I want to send different Slack messages based on the priority level of an incoming email","I need to skip certain workflow steps if a condition isn't met","I want to route data to different destinations based on its content or metadata"],"best_for":["workflows requiring intelligent routing or filtering","teams automating decision-based processes","users building conditional notifications or alerts"],"limitations":["Limited to simple boolean logic — complex nested conditions may be difficult to express visually","No support for complex pattern matching or regex conditions","Difficult to test conditions before deploying workflows","No condition reuse or templating across workflows"],"requires":["Data from previous workflow step to evaluate","Condition configuration (field, operator, value)","At least two action branches (true/false paths)"],"input_types":["workflow data (any field from previous steps)","condition expression (field name, operator, comparison value)"],"output_types":["execution path selection (true or false branch)","context passed to selected branch"],"categories":["planning-reasoning","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_abyss__cap_6","uri":"capability://automation.workflow.workflow.execution.logging.and.error.handling","name":"workflow execution logging and error handling","description":"Records execution history for each workflow run, capturing logs, error messages, and execution timelines to help users debug failures. The platform likely stores execution metadata (start time, duration, status) and provides error context (failed step, error message, input data) to aid troubleshooting without requiring technical logs or system access.","intents":["I need to see why my workflow failed and what data caused the error","I want to review the execution history of a workflow to understand its behavior","I need to retry a failed workflow step with the same input data"],"best_for":["teams troubleshooting workflow failures","users monitoring automation reliability","operations teams auditing workflow execution"],"limitations":["Log retention may be limited (e.g., 30 days) depending on plan tier","Limited filtering and search capabilities for large execution histories","Error messages may be abstracted and lack technical detail","No real-time execution monitoring or alerts for failures"],"requires":["Executed workflow with available logs","Access to workflow execution history (likely in dashboard)"],"input_types":["workflow execution ID or date range"],"output_types":["execution logs (step-by-step execution trace)","error details (failed step, error message, timestamp)","execution metrics (duration, data processed)"],"categories":["automation-workflow","safety-moderation"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_abyss__cap_7","uri":"capability://automation.workflow.freemium.workflow.quota.and.usage.tracking","name":"freemium workflow quota and usage tracking","description":"Implements usage limits and quota tracking for free-tier users, monitoring workflow executions, API calls, and storage to enforce plan boundaries. The platform tracks metrics (executions per month, active workflows, data processed) and provides visibility into usage through a dashboard, with graceful degradation or upgrade prompts when limits are approached.","intents":["I want to understand how many workflow executions I've used this month","I need to know if I'm approaching my plan limits before my workflows stop working","I want to see which workflows consume the most resources"],"best_for":["small teams evaluating Abyss before committing to paid plans","solo entrepreneurs managing costs carefully","organizations tracking usage for billing and compliance"],"limitations":["Free tier limits may be restrictive for production workflows","Usage tracking may have latency (not real-time)","No granular quota allocation across team members","Upgrade path may not be flexible (e.g., no pay-as-you-go option)"],"requires":["Active Abyss account","Access to usage dashboard"],"input_types":["workflow execution data (collected automatically)"],"output_types":["usage metrics (executions, API calls, storage)","quota remaining and reset date","upgrade recommendations"],"categories":["automation-workflow","safety-moderation"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_abyss__cap_8","uri":"capability://tool.use.integration.limited.integration.ecosystem.with.native.connectors","name":"limited integration ecosystem with native connectors","description":"Provides pre-built connectors for a curated set of popular services (Slack, email, Google Workspace, spreadsheets) with native authentication and action/trigger support, but lacks the breadth of integrations available in mature platforms. Each connector encapsulates service-specific API logic, allowing users to interact with services through high-level actions without API knowledge.","intents":["I want to connect my Slack workspace to automate notifications","I need to read and write data to Google Sheets from my workflows","I want to send emails from my automation without managing SMTP"],"best_for":["teams using mainstream SaaS tools (Slack, Google, Microsoft)","small businesses with simple integration needs","users avoiding complex enterprise tool ecosystems"],"limitations":["Many popular enterprise tools lack native connectors (Salesforce, HubSpot, Jira may not be supported)","No webhook or generic HTTP action for unsupported services","Limited customization of connector behavior","No community-contributed connectors or extensibility"],"requires":["Service account or OAuth credentials for connected service","Service must be in Abyss's supported connector list"],"input_types":["service-specific action configuration (e.g., Slack channel, email recipient)"],"output_types":["service-specific response data (e.g., message ID, email status)"],"categories":["tool-use-integration","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":40,"verified":false,"data_access_risk":"high","permissions":["Web browser with modern JavaScript support","Account credentials for connected services (Slack, email, spreadsheets, etc.)","Basic understanding of workflow concepts (triggers, actions, data mapping)","Active Abyss account with AI widget feature enabled","LLM API credits or subscription (if using external models)","Text or structured data input from upstream workflow steps","OAuth-compatible service (Slack, Google, Microsoft, etc.) or API key","Permission to authorize Abyss as a third-party application","Active Abyss account","Connected service with event support (Slack, email, webhooks)"],"failure_modes":["Widget abstraction limits access to advanced API features not exposed in the UI","Complex conditional logic beyond simple if/then/else requires workarounds or custom code","No version control or rollback mechanism for workflow changes","LLM response latency adds 1-5 seconds per workflow execution","No fine-tuning or custom model support — limited to base model capabilities","Token costs for LLM calls may accumulate with high-volume workflows","Prompt engineering is abstracted, limiting control over model behavior for edge cases","Credential storage security depends on Abyss infrastructure — no option for self-hosted credential management","Limited visibility into token expiration or refresh failures","No support for service-to-service authentication (e.g., mTLS, client certificates)","builder identity is not verified yet","no observed match outcomes yet"],"rank_breakdown":{"adoption":0.31666666666666665,"quality":0.67,"ecosystem":0.25,"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":"2026-05-24T12:16:28.696Z","last_scraped_at":"2026-04-05T13:23:42.562Z","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=abyss","compare_url":"https://unfragile.ai/compare?artifact=abyss"}},"signature":"gv52wNXNQTKwBTsoralJvSCCThjfWgotVvL8K/bIaaW9qoqJsnUYdP2Q5b6uBjW9O4msp64tgEWtEGxcJGrpCw==","signedAt":"2026-06-21T10:28:41.266Z","signedBy":"unfragile.ai","version":1},"_links":{"self":"https://unfragile.ai/api/v1/passport/abyss","artifact":"https://unfragile.ai/abyss","verify":"https://unfragile.ai/api/v1/verify?slug=abyss","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"}}