{"passport":{"unfragile":{"@version":"1.0","version":"2026-05","artifact":{"id":"tool_shape-ai","slug":"shape-ai","name":"Shape AI","type":"product","url":"https://shape-ai.com","page_url":"https://unfragile.ai/shape-ai","categories":["automation"],"tags":[],"pricing":{"model":"paid","free":false,"starting_price":null},"status":"active","verified":false},"capabilities":[{"id":"tool_shape-ai__cap_0","uri":"capability://automation.workflow.multi.step.workflow.automation.with.conditional.logic","name":"multi-step workflow automation with conditional logic","description":"Enables users to chain multiple tasks together with branching logic and conditional execution paths. The system likely uses a directed acyclic graph (DAG) or state machine pattern to represent workflows, allowing sequential execution, parallel branches, and conditional routing based on task outputs. Users can define triggers (webhooks, schedules, manual), map data between steps, and handle errors without writing code.","intents":["I want to automate a multi-step process across different tools without writing code","I need to create workflows that branch based on conditions or data values","I want to reduce manual handoffs between team members by automating task sequences"],"best_for":["Small to mid-sized teams with non-technical operators managing internal processes","Operations teams automating data movement between SaaS tools","Teams seeking to eliminate repetitive multi-tool workflows"],"limitations":["No evidence of advanced error handling strategies like exponential backoff or circuit breakers","Likely limited to simple conditional logic (if/then) rather than complex decision trees","Unknown support for long-running workflows or stateful processes requiring persistence","No public documentation on workflow execution timeout limits or retry policies"],"requires":["Active Shape AI account with workflow builder access","Connected integrations or API credentials for target tools","Basic understanding of workflow design patterns (triggers, actions, conditions)"],"input_types":["structured data from connected integrations","webhook payloads","scheduled triggers","manual form inputs"],"output_types":["task execution results","data passed to downstream workflow steps","webhook responses","audit logs of workflow execution"],"categories":["automation-workflow","task-orchestration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_shape-ai__cap_1","uri":"capability://tool.use.integration.integration.connector.library.with.data.mapping","name":"integration connector library with data mapping","description":"Provides pre-built connectors to external SaaS platforms and APIs, allowing users to authenticate and exchange data without custom code. The system likely maintains a registry of connector definitions (authentication methods, available actions/triggers, field schemas) and includes a visual data mapper to transform outputs from one tool into inputs for another. Connectors probably abstract away API complexity through standardized interfaces.","intents":["I want to connect Shape AI to my existing SaaS stack without writing API integration code","I need to map and transform data fields between different tool formats automatically","I want to add new integrations to my workflows without waiting for platform updates"],"best_for":["Teams using 5-20 SaaS tools who need to sync data between them","Non-technical workflow operators who need visual data mapping","Organizations avoiding custom API integration development"],"limitations":["Breadth of integration ecosystem unknown — no public list of supported platforms","No evidence of support for custom API connectors or SDK for building proprietary integrations","Data mapping likely limited to field-level transformations; unknown support for complex data aggregation or nested object handling","No documentation on connector update frequency or API version compatibility management"],"requires":["API credentials or OAuth tokens for target SaaS platforms","Supported integration already available in Shape AI's connector library","Understanding of target platform's data schema and available actions"],"input_types":["API responses from connected platforms","structured JSON/form data","file uploads from integrations"],"output_types":["transformed data payloads","API requests to target platforms","mapped field values for downstream steps"],"categories":["tool-use-integration","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_shape-ai__cap_2","uri":"capability://data.processing.analysis.workflow.performance.analytics.and.bottleneck.detection","name":"workflow performance analytics and bottleneck detection","description":"Provides a dashboard displaying metrics on automated workflow execution, including success rates, execution times, error frequencies, and data throughput. The system likely aggregates execution logs and telemetry from workflow runs, calculates performance KPIs, and surfaces anomalies or bottlenecks through visualization. Analytics probably include per-step performance breakdowns to identify which tasks slow down overall workflow completion.","intents":["I want to see which workflow steps are causing delays or failures","I need to measure the ROI of automation by tracking time saved and error reduction","I want to identify bottlenecks in my automated processes to optimize them"],"best_for":["Operations managers tracking automation ROI and process efficiency","Teams optimizing workflow performance based on data","Organizations needing visibility into task automation health"],"limitations":["No evidence of predictive analytics or ML-based anomaly detection","Unknown support for custom metrics or KPI definitions beyond standard execution metrics","Likely limited to real-time and recent historical data; no indication of long-term trend analysis or forecasting","No documentation on data retention policies or export capabilities for external analysis"],"requires":["Active workflows running in Shape AI to generate execution data","Access to analytics dashboard (likely role-based)","Minimum execution history to populate meaningful metrics"],"input_types":["workflow execution logs","task completion times","error/failure events","data throughput metrics"],"output_types":["dashboard visualizations","performance KPI summaries","bottleneck alerts","execution timeline reports"],"categories":["data-processing-analysis","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_shape-ai__cap_3","uri":"capability://automation.workflow.scheduled.and.event.triggered.workflow.execution","name":"scheduled and event-triggered workflow execution","description":"Supports multiple trigger mechanisms to initiate workflows: time-based schedules (cron-like intervals), webhook events from external systems, and manual user invocation. The system likely uses a job scheduler (possibly Quartz, APScheduler, or cloud-native equivalent) for scheduled triggers and maintains webhook endpoints for event-driven execution. Triggers probably support filtering or conditions to selectively execute workflows based on payload content.","intents":["I want to run a workflow on a schedule (daily, weekly, monthly) without manual intervention","I need workflows to trigger automatically when an external system sends a webhook event","I want to manually kick off a workflow with custom parameters when needed"],"best_for":["Teams automating recurring tasks (daily reports, weekly syncs, monthly reconciliations)","Event-driven automation scenarios (new customer signup → onboarding workflow)","Operations teams needing flexible trigger mechanisms"],"limitations":["No documentation on schedule precision (minute-level vs hour-level granularity)","Unknown support for complex scheduling patterns (e.g., business days only, timezone handling)","Webhook reliability unknown — no mention of retry logic, delivery guarantees, or idempotency handling","No evidence of trigger filtering or conditional execution based on event payload content"],"requires":["Cron expression syntax knowledge for scheduled triggers","Webhook URL and authentication setup for event-triggered workflows","Access to Shape AI's webhook endpoint configuration"],"input_types":["cron schedule expressions","webhook payloads (JSON)","manual trigger parameters","event filter conditions"],"output_types":["workflow execution initiation","execution status/confirmation","webhook response (200 OK or error)"],"categories":["automation-workflow","planning-reasoning"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_shape-ai__cap_4","uri":"capability://automation.workflow.error.handling.and.workflow.failure.recovery","name":"error handling and workflow failure recovery","description":"Provides mechanisms to handle task failures within workflows, including retry policies, error branching, and fallback actions. The system likely supports configurable retry strategies (exponential backoff, max attempts) and conditional error handling paths that execute alternative actions when primary tasks fail. Error logs probably capture failure reasons and stack traces for debugging.","intents":["I want failed workflow steps to retry automatically before marking the workflow as failed","I need to execute alternative actions when a primary task fails (e.g., send alert, log to backup system)","I want detailed error logs to debug why a workflow failed"],"best_for":["Teams running mission-critical workflows requiring resilience","Operations managing workflows across unreliable external APIs","Organizations needing audit trails of workflow failures"],"limitations":["No documentation on retry strategy options (fixed delay vs exponential backoff vs jitter)","Unknown support for circuit breaker patterns or rate-limit handling","Error branching likely limited to simple if-error-then-action patterns; no evidence of complex error classification","No mention of dead-letter queues or persistent error storage for later analysis"],"requires":["Workflow definition with error handling rules configured","Understanding of task failure modes and appropriate recovery strategies","Access to error logs and debugging tools"],"input_types":["task failure events","error messages and status codes","retry configuration parameters"],"output_types":["retry execution attempts","error branch execution","error logs and audit trails","failure notifications"],"categories":["automation-workflow","safety-moderation"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_shape-ai__cap_5","uri":"capability://automation.workflow.workflow.versioning.and.deployment.management","name":"workflow versioning and deployment management","description":"Allows users to create, test, and deploy multiple versions of workflows with version control and rollback capabilities. The system likely maintains a version history of workflow definitions, supports staging/testing environments separate from production, and enables rollback to previous versions if issues arise. Deployment probably includes approval workflows or change management for production releases.","intents":["I want to test workflow changes in a staging environment before deploying to production","I need to roll back a workflow to a previous version if a recent change breaks something","I want to track who made changes to workflows and when"],"best_for":["Teams managing multiple workflow versions across environments","Organizations with change management or compliance requirements","Teams needing audit trails of workflow modifications"],"limitations":["No documentation on version control depth (whether it tracks individual step changes or full workflow snapshots)","Unknown support for branching or merging workflows (likely not supported)","No evidence of approval workflows or change management integration","Unclear if versioning extends to connector configurations and data mappings"],"requires":["Access to workflow editor and version control features","Understanding of staging vs production environment separation","Permissions to deploy workflows to production"],"input_types":["workflow definition changes","version selection for rollback","deployment approval requests"],"output_types":["version history records","deployment confirmations","audit logs of changes","rollback execution status"],"categories":["automation-workflow","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_shape-ai__cap_6","uri":"capability://automation.workflow.team.collaboration.and.role.based.access.control","name":"team collaboration and role-based access control","description":"Enables multiple team members to work on workflows with granular permission controls based on roles. The system likely implements role-based access control (RBAC) with predefined roles (admin, editor, viewer) or custom role definitions, controlling who can create, edit, execute, or view workflows. Collaboration features probably include shared workflow libraries, audit logs of user actions, and possibly real-time editing or commenting.","intents":["I want to give different team members different levels of access to workflows","I need to track who executed a workflow and when for compliance purposes","I want to share workflow templates across my team without giving everyone admin access"],"best_for":["Teams with multiple users needing controlled access to workflows","Organizations with compliance or audit requirements","Enterprises managing workflows across departments"],"limitations":["No documentation on RBAC granularity (likely limited to workflow-level permissions, not step-level)","Unknown support for custom roles or attribute-based access control (ABAC)","No evidence of real-time collaboration features (simultaneous editing, comments)","Unclear if audit logs capture all user actions or just workflow executions"],"requires":["Team account with multiple user seats","User management interface to assign roles","Understanding of role definitions and permission models"],"input_types":["user role assignments","permission configuration","workflow sharing requests"],"output_types":["access control enforcement","audit logs of user actions","shared workflow visibility","permission denial notifications"],"categories":["automation-workflow","safety-moderation"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":37,"verified":false,"data_access_risk":"high","permissions":["Active Shape AI account with workflow builder access","Connected integrations or API credentials for target tools","Basic understanding of workflow design patterns (triggers, actions, conditions)","API credentials or OAuth tokens for target SaaS platforms","Supported integration already available in Shape AI's connector library","Understanding of target platform's data schema and available actions","Active workflows running in Shape AI to generate execution data","Access to analytics dashboard (likely role-based)","Minimum execution history to populate meaningful metrics","Cron expression syntax knowledge for scheduled triggers"],"failure_modes":["No evidence of advanced error handling strategies like exponential backoff or circuit breakers","Likely limited to simple conditional logic (if/then) rather than complex decision trees","Unknown support for long-running workflows or stateful processes requiring persistence","No public documentation on workflow execution timeout limits or retry policies","Breadth of integration ecosystem unknown — no public list of supported platforms","No evidence of support for custom API connectors or SDK for building proprietary integrations","Data mapping likely limited to field-level transformations; unknown support for complex data aggregation or nested object handling","No documentation on connector update frequency or API version compatibility management","No evidence of predictive analytics or ML-based anomaly detection","Unknown support for custom metrics or KPI definitions beyond standard execution metrics","builder identity is not verified yet","no observed match outcomes yet"],"rank_breakdown":{"adoption":0.2833333333333333,"quality":0.63,"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":"2026-05-24T12:16:33.096Z","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=shape-ai","compare_url":"https://unfragile.ai/compare?artifact=shape-ai"}},"signature":"JtcYgClB5zUDmfJ1r081seWG9/Jq/P0qmd+ZLMkBA2c0BZZYPgcj9K8fB4X5YS7MbnJnTXU5e6rt8+LikYE5BA==","signedAt":"2026-06-22T12:53:33.353Z","signedBy":"unfragile.ai","version":1},"_links":{"self":"https://unfragile.ai/api/v1/passport/shape-ai","artifact":"https://unfragile.ai/shape-ai","verify":"https://unfragile.ai/api/v1/verify?slug=shape-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"}}