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Integrates directly with Raygun's REST API endpoints to query the full crash reporting database without local caching, enabling real-time access to the latest incident data.","intents":["I need to pull all crashes from the last 24 hours for a specific application to analyze trends","I want to filter crashes by severity level to prioritize critical issues","I need to retrieve crash metadata including stack traces, affected users, and timestamps"],"best_for":["DevOps engineers integrating crash data into incident response workflows","Development teams building custom dashboards on top of Raygun data","Automated monitoring systems that need programmatic access to error events"],"limitations":["API rate limiting applies — Raygun enforces request throttling that may impact high-frequency polling","Pagination required for large result sets — no built-in streaming, requires manual iteration through pages","Filtering capabilities limited to Raygun's API schema — cannot perform complex multi-field queries beyond API support"],"requires":["Raygun API key with read permissions","Valid Raygun account with active applications","Network access to Raygun's API endpoints (api.raygun.io)"],"input_types":["application_id (string)","time_range (ISO 8601 dates or relative)","severity_filter (enum: critical, error, warning, info)","status_filter (enum: new, assigned, resolved)"],"output_types":["JSON array of crash report objects","structured metadata (timestamps, user counts, affected versions)","stack trace data (raw and parsed)"],"categories":["search-retrieval","monitoring"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-raygun__cap_1","uri":"capability://data.processing.analysis.real.user.monitoring.metrics.aggregation","name":"real-user-monitoring-metrics-aggregation","description":"Aggregates Real User Monitoring (RUM) data from Raygun including page load times, JavaScript errors, network performance, and user session metrics. Queries Raygun's analytics endpoints to compute time-series metrics and percentile distributions (p50, p95, p99) for performance analysis. Structures raw telemetry into actionable performance KPIs without requiring manual data transformation.","intents":["I want to check current page load performance metrics across all users","I need to identify which pages have the highest error rates in production","I want to compare performance metrics between different application versions or environments"],"best_for":["Performance engineers monitoring production application health","Product teams tracking user experience metrics for SLA compliance","Site reliability engineers building automated performance alerting"],"limitations":["RUM data collection requires Raygun JavaScript SDK deployed in production — cannot retroactively collect historical data","Aggregation granularity limited by Raygun's retention policies — older data may be sampled or unavailable","Custom metric definitions not supported — limited to Raygun's pre-defined RUM metrics"],"requires":["Raygun RUM SDK installed and configured in target application","Raygun API key with analytics read permissions","Active RUM data collection (requires end-user traffic)"],"input_types":["application_id (string)","time_window (ISO 8601 or relative duration)","metric_type (enum: page_load, js_errors, network, session)","grouping_dimension (optional: page_url, browser, device_type)"],"output_types":["JSON object with aggregated metrics","percentile distributions (p50, p95, p99)","time-series data points","user session summaries"],"categories":["data-processing-analysis","monitoring"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-raygun__cap_2","uri":"capability://automation.workflow.error.group.management.and.annotation","name":"error-group-management-and-annotation","description":"Manages error group lifecycle in Raygun including status transitions (new → assigned → resolved), bulk operations on grouped crashes, and annotation/comment addition for collaboration. Implements state machine logic for error group workflows and supports batch updates across multiple related crashes. Enables team coordination on error resolution without requiring manual Raygun UI interaction.","intents":["I want to mark a group of related crashes as resolved after deploying a fix","I need to assign an error group to a team member and add context about the root cause","I want to bulk-update the status of multiple error groups based on deployment events"],"best_for":["Development teams automating error triage workflows","DevOps engineers triggering error status updates from CI/CD pipelines","Incident response teams coordinating crash investigation across multiple team members"],"limitations":["Batch operations limited to Raygun API constraints — typically 100-1000 items per request","Annotations are append-only — no edit or delete capability for existing comments","Assignment requires valid Raygun user accounts — cannot assign to external stakeholders"],"requires":["Raygun API key with write permissions (not read-only)","Valid Raygun user account for assignment operations","Error group IDs from prior crash report queries"],"input_types":["error_group_id (string)","new_status (enum: new, assigned, resolved, ignored)","assigned_user_id (string, optional)","annotation_text (string, optional)","batch_group_ids (array of strings, optional)"],"output_types":["confirmation response with updated status","updated error group metadata","operation success/failure status"],"categories":["automation-workflow","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-raygun__cap_3","uri":"capability://data.processing.analysis.deployment.tracking.and.error.correlation","name":"deployment-tracking-and-error-correlation","description":"Tracks application deployments in Raygun and correlates crash spikes with deployment events to identify regression-causing changes. Queries deployment history and cross-references with error group timelines to detect when new crashes appeared relative to code releases. Implements time-series correlation logic to surface deployment-error relationships without manual timeline analysis.","intents":["I want to see if a crash spike correlates with a recent deployment","I need to identify which deployment introduced a new error pattern","I want to compare error rates before and after a specific release"],"best_for":["Release engineers investigating deployment-related regressions","Development teams performing post-deployment validation","Automated systems detecting and alerting on deployment-induced errors"],"limitations":["Correlation detection requires manual interpretation — no built-in ML-based causality detection","Deployment tracking depends on Raygun's deployment API integration — requires explicit deployment event logging","Time-series granularity limited by Raygun's data retention and sampling policies"],"requires":["Raygun deployment tracking enabled (requires API integration or SDK configuration)","Deployment events logged to Raygun (via API or CI/CD integration)","Error data with precise timestamps for correlation"],"input_types":["application_id (string)","deployment_id (string, optional)","time_window (ISO 8601 dates)","error_group_id (string, optional)"],"output_types":["deployment timeline with associated error metrics","error rate before/after deployment comparison","correlation analysis (errors introduced, errors resolved)"],"categories":["data-processing-analysis","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-raygun__cap_4","uri":"capability://data.processing.analysis.user.impact.and.affected.user.analysis","name":"user-impact-and-affected-user-analysis","description":"Analyzes user impact metrics for crashes including affected user counts, unique user segments, and user session context. Queries Raygun's user tracking data to identify which users experienced specific errors and their session context (browser, device, location, custom user attributes). Enables impact-driven prioritization by surfacing how many users were affected and their characteristics.","intents":["I want to know how many users were affected by a critical crash","I need to identify if a crash is affecting a specific user segment (e.g., mobile users, specific region)","I want to prioritize fixes based on user impact rather than error frequency"],"best_for":["Product managers prioritizing bug fixes based on user impact","Support teams identifying affected customers for targeted communication","Engineering teams making triage decisions based on user reach"],"limitations":["User tracking depends on Raygun SDK configuration — requires explicit user identification setup","Privacy constraints may limit user data availability — PII redaction policies apply","User segmentation limited to Raygun's pre-defined attributes — custom segments require additional configuration"],"requires":["Raygun SDK with user tracking enabled","User identification configured in application","Raygun API key with user data read permissions"],"input_types":["error_group_id (string)","time_window (ISO 8601 dates)","segment_filter (optional: browser, device_type, location, custom_attribute)"],"output_types":["affected user count (total and unique)","user segment breakdown (browser, device, location)","user session context (timestamps, session duration)","custom user attributes"],"categories":["data-processing-analysis","search-retrieval"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-raygun__cap_5","uri":"capability://data.processing.analysis.custom.grouping.and.error.pattern.detection","name":"custom-grouping-and-error-pattern-detection","description":"Applies custom grouping rules to crashes based on stack trace patterns, error messages, and custom attributes to surface related errors that Raygun's default grouping may miss. Implements pattern matching logic to identify error families and create synthetic error groups for analysis. Enables detection of systemic issues that manifest as multiple distinct error signatures.","intents":["I want to group errors by root cause even though they have different stack traces","I need to identify all errors related to a specific feature or component","I want to detect error patterns that indicate a systemic issue rather than isolated bugs"],"best_for":["Engineering teams analyzing error patterns across multiple error signatures","Platform teams identifying systemic issues affecting multiple services","Data analysts building custom error taxonomies for reporting"],"limitations":["Pattern matching limited to available error metadata — cannot infer patterns from error behavior alone","Custom grouping rules are stateless — no persistent rule storage or versioning","Performance impact scales with error volume — pattern matching on large datasets may be slow"],"requires":["Access to error group data with stack traces and error messages","Pattern definition capability (regex, string matching, or custom logic)","Sufficient error volume to validate pattern accuracy"],"input_types":["error_groups (array of error group objects)","pattern_rules (array of matching criteria: stack_trace_pattern, error_message_pattern, custom_attribute_match)","grouping_strategy (enum: union, intersection, custom_logic)"],"output_types":["synthetic error groups (grouped by pattern)","pattern match confidence scores","error family summaries"],"categories":["data-processing-analysis","planning-reasoning"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":31,"verified":false,"data_access_risk":"high","permissions":["Raygun API key with read permissions","Valid Raygun account with active applications","Network access to Raygun's API endpoints (api.raygun.io)","Raygun RUM SDK installed and configured in target application","Raygun API key with analytics read permissions","Active RUM data collection (requires end-user traffic)","Raygun API key with write permissions (not read-only)","Valid Raygun user account for assignment operations","Error group IDs from prior crash report queries","Raygun deployment tracking enabled (requires API integration or SDK configuration)"],"failure_modes":["API rate limiting applies — Raygun enforces request throttling that may impact high-frequency polling","Pagination required for large result sets — no built-in streaming, requires manual iteration through pages","Filtering capabilities limited to Raygun's API schema — cannot perform complex multi-field queries beyond API support","RUM data collection requires Raygun JavaScript SDK deployed in production — cannot retroactively collect historical data","Aggregation granularity limited by Raygun's retention policies — older data may be sampled or unavailable","Custom metric definitions not supported — limited to Raygun's pre-defined RUM metrics","Batch operations limited to Raygun API constraints — typically 100-1000 items per request","Annotations are append-only — no edit or delete capability for existing comments","Assignment requires valid Raygun user accounts — cannot assign to external stakeholders","Correlation detection requires manual interpretation — no built-in ML-based causality detection","builder identity is not verified yet","no observed match outcomes yet"],"rank_breakdown":{"adoption":0.05,"quality":0.22,"ecosystem":0.39999999999999997,"match_graph":0.25,"freshness":1,"weights":{"adoption":0.25,"quality":0.25,"ecosystem":0.15,"match_graph":0.23,"freshness":0.12}},"observed_outcomes":{"matches":0,"success_rate":0,"avg_confidence":0,"top_intents":[],"last_matched_at":null},"maintenance":{"status":"active","updated_at":"2026-06-17T09:51:04.048Z","last_scraped_at":"2026-05-03T14:00:15.503Z","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=raygun","compare_url":"https://unfragile.ai/compare?artifact=raygun"}},"signature":"TLE3SD4T6klCumcuCPF6FnFjhqmibgk/+zhYTrbS1lHl/AKiUvDyYDPUM5U3N8IXOpMz4AKz9Zj8vf1iSxUKAg==","signedAt":"2026-06-17T21:41:02.845Z","signedBy":"unfragile.ai","version":1},"_links":{"self":"https://unfragile.ai/api/v1/passport/raygun","artifact":"https://unfragile.ai/raygun","verify":"https://unfragile.ai/api/v1/verify?slug=raygun","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"}}