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The builder compiles visual workflows into executable automation tasks that can be scheduled or triggered by webhooks, eliminating the need for traditional scripting in workflow orchestration.","intents":["I need to automate a multi-step data pipeline without writing code","I want to visually map out how data flows between different systems","I need to set up conditional logic and error handling in my automation"],"best_for":["Financial analysts and researchers building market data workflows","Non-technical business users automating compliance and reporting tasks","Teams migrating from spreadsheet-based processes to automated pipelines"],"limitations":["Visual workflows become difficult to manage beyond 20-30 nodes due to canvas complexity","No version control or branching for workflow iterations — changes are applied directly","Limited ability to express complex nested logic compared to imperative code"],"requires":["Web browser with modern JavaScript support","Active Bricklayer AI account with workflow creation permissions","API credentials for any third-party data sources being integrated"],"input_types":["structured data (CSV, JSON)","API responses","database query results","webhook payloads"],"output_types":["structured data (JSON, CSV)","API requests","database writes","webhook notifications"],"categories":["automation-workflow","low-code-platform"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_bricklayer-ai__cap_1","uri":"capability://tool.use.integration.native.financial.data.source.integration","name":"native financial data source integration","description":"Provides pre-built connectors to Bloomberg Terminal, Reuters, and academic financial databases with authentication handling and real-time data streaming capabilities. These connectors abstract away API complexity and handle rate limiting, data normalization, and credential management through a unified interface, allowing workflows to directly query market data without custom API code.","intents":["I need to pull real-time stock prices and market data into my analysis workflow","I want to fetch compliance data from Bloomberg without managing API authentication","I need to combine Reuters news feeds with internal research data automatically"],"best_for":["Quantitative research teams with Bloomberg Terminal subscriptions","Compliance and risk teams automating regulatory data collection","Financial advisory firms building automated market research pipelines"],"limitations":["Requires active Bloomberg Terminal or Reuters subscription — no free tier access","Data freshness depends on source API rate limits; real-time updates may lag 5-15 seconds","Limited to pre-configured data fields; custom field extraction requires manual API integration"],"requires":["Bloomberg Terminal account or Reuters subscription","API credentials provisioned by your financial data provider","Network access to Bloomberg/Reuters servers (may require VPN in corporate environments)"],"input_types":["ticker symbols","date ranges","query parameters (e.g., sector, market cap filters)"],"output_types":["time-series data (OHLCV)","fundamental data (earnings, ratios)","news feeds","compliance records"],"categories":["tool-use-integration","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_bricklayer-ai__cap_10","uri":"capability://automation.workflow.real.time.data.streaming.and.webhooks","name":"real-time data streaming and webhooks","description":"Accepts incoming data via webhook endpoints and processes it through workflows in near-real-time (latency <1 second). Webhooks support multiple authentication methods (API key, OAuth, HMAC signature verification) and can be configured to retry failed deliveries with exponential backoff. Workflows triggered by webhooks can emit their own webhooks to downstream systems, enabling event-driven architectures.","intents":["I need to process market data updates as they arrive from Bloomberg in real-time","I want to trigger a compliance check whenever new regulatory data is published","I need to send alerts to Slack immediately when a workflow detects an anomaly"],"best_for":["Financial teams building real-time trading or risk monitoring workflows","Compliance teams automating event-driven regulatory responses","Research teams processing streaming data from multiple sources"],"limitations":["Webhook processing latency is ~500ms-1s due to network and processing overhead; sub-100ms latency requires direct API integration","No built-in message queuing — high-volume webhook traffic may cause dropped events if processing falls behind","Webhook retry logic is fixed (exponential backoff up to 24 hours); no customizable retry policies"],"requires":["Publicly accessible webhook URL or Bricklayer-provided endpoint","For authentication: API key or HMAC secret configured in workflow","Sender must support webhook delivery (most modern APIs do)"],"input_types":["JSON payloads","form-encoded data","raw text"],"output_types":["HTTP 200 response (acknowledgment)","workflow execution triggered","outbound webhooks to downstream systems"],"categories":["automation-workflow","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_bricklayer-ai__cap_2","uri":"capability://automation.workflow.scheduled.and.event.triggered.workflow.execution","name":"scheduled and event-triggered workflow execution","description":"Executes automation workflows on a configurable schedule (cron-based intervals) or in response to external events via webhook endpoints. The execution engine maintains a task queue, handles retries with exponential backoff, and provides execution logs with step-by-step debugging information. Workflows can be paused, resumed, or manually triggered through the UI or API.","intents":["I need to run a data analysis every morning at 9 AM before market open","I want to trigger a compliance report whenever new regulatory data arrives","I need to retry failed data imports automatically with backoff"],"best_for":["Financial teams with time-sensitive market data workflows","Compliance teams automating daily/weekly regulatory reporting","Research groups processing batch data on a fixed schedule"],"limitations":["Minimum scheduling granularity is 5 minutes; sub-minute triggers require webhook-based execution","No built-in workflow dependency management — parallel workflows may create race conditions on shared data","Execution logs retained for 30 days only; long-term audit trails require external logging integration"],"requires":["Active Bricklayer AI account with workflow execution permissions","For webhooks: publicly accessible endpoint or Bricklayer-provided webhook URL","For scheduling: timezone configuration in account settings"],"input_types":["cron schedule expressions","webhook JSON payloads","manual trigger via UI"],"output_types":["execution status (success/failure/timeout)","execution logs with timestamps","workflow output data"],"categories":["automation-workflow","planning-reasoning"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_bricklayer-ai__cap_3","uri":"capability://data.processing.analysis.data.transformation.and.field.mapping","name":"data transformation and field mapping","description":"Provides a visual data mapper that transforms input data structures to output schemas through field-level mapping, type conversion, and expression-based transformations. Supports conditional field inclusion, array flattening, and nested object restructuring. The mapper generates transformation code (JavaScript or Python) that can be inspected and edited for advanced use cases, bridging visual and code-based approaches.","intents":["I need to map Bloomberg data fields to my internal database schema","I want to flatten nested JSON responses from multiple APIs into a single table","I need to convert date formats and numeric precision across different data sources"],"best_for":["Data analysts integrating multiple financial data sources with different schemas","Teams standardizing data formats across legacy and modern systems","Researchers normalizing academic and commercial data for analysis"],"limitations":["Complex transformations (e.g., multi-step aggregations) are easier to express in code than the visual mapper","No built-in support for fuzzy matching or deduplication — requires custom expressions","Performance degrades on datasets >100MB; batch processing requires external data warehouse"],"requires":["Sample input data to infer schema","Target output schema definition (manual or auto-inferred)","For advanced expressions: basic JavaScript or Python knowledge"],"input_types":["JSON objects","CSV rows","database records","API response payloads"],"output_types":["transformed JSON","CSV exports","database-ready records","webhook payloads"],"categories":["data-processing-analysis","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_bricklayer-ai__cap_4","uri":"capability://automation.workflow.workflow.error.handling.and.monitoring","name":"workflow error handling and monitoring","description":"Provides step-level error catching with configurable retry policies, fallback paths, and alerting. Failed workflow executions are logged with full context (input data, error message, step where failure occurred), and alerts can be sent via email, Slack, or webhook. The monitoring dashboard displays workflow health metrics including success rate, average execution time, and failure trends over time.","intents":["I need to know immediately when a critical data import fails","I want to automatically retry failed API calls with exponential backoff","I need to see which workflows are failing most frequently and why"],"best_for":["Financial teams running mission-critical compliance and trading workflows","Operations teams managing multiple automated data pipelines","Compliance officers auditing workflow execution for regulatory requirements"],"limitations":["Alert routing is limited to email, Slack, and generic webhooks — no native PagerDuty or Opsgenie integration","Execution logs do not include input data by default (privacy concern) — requires explicit opt-in to log sensitive data","Monitoring dashboard shows only last 30 days of history; long-term trend analysis requires data export"],"requires":["Slack workspace or email address for alerts","For webhook alerts: publicly accessible endpoint","Workflow must have error handlers configured for each step"],"input_types":["workflow execution events","step-level errors","timeout conditions"],"output_types":["alert notifications (email/Slack/webhook)","execution logs with error context","health metrics and dashboards"],"categories":["automation-workflow","safety-moderation"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_bricklayer-ai__cap_5","uri":"capability://automation.workflow.conditional.logic.and.branching.in.workflows","name":"conditional logic and branching in workflows","description":"Allows workflows to branch based on data conditions using if-then-else logic, with support for multiple conditions (AND/OR), comparison operators, and regex pattern matching. Branches can be nested and combined with loops to iterate over array data. The conditional engine evaluates expressions at runtime and routes execution to the appropriate branch, enabling dynamic workflow behavior based on data content.","intents":["I need to send different alerts based on whether stock prices moved up or down","I want to skip data processing steps if the input is empty or malformed","I need to loop through multiple tickers and process each one separately"],"best_for":["Financial analysts building workflows with market-dependent logic","Compliance teams automating conditional reporting based on regulatory thresholds","Research teams processing variable-length datasets with conditional transformations"],"limitations":["Complex nested conditionals (>5 levels) become difficult to visualize and debug in the UI","No support for switch-case statements — multiple conditions require nested if-then-else chains","Loop performance degrades on large arrays (>10,000 items); batch processing requires external tools"],"requires":["Understanding of boolean logic and comparison operators","Data schema knowledge to reference correct field paths in conditions"],"input_types":["workflow data (strings, numbers, booleans, arrays)","comparison operators (==, !=, <, >, contains, matches regex)"],"output_types":["branched workflow execution paths","loop iterations over array elements"],"categories":["automation-workflow","planning-reasoning"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_bricklayer-ai__cap_6","uri":"capability://automation.workflow.workflow.versioning.and.deployment","name":"workflow versioning and deployment","description":"Maintains workflow version history with the ability to revert to previous versions, though changes are not branched — only a linear history is maintained. Workflows can be exported as JSON for backup or sharing, and imported into other Bricklayer accounts. Deployment is immediate upon saving; there is no staging environment or approval workflow for production changes.","intents":["I need to revert a workflow to a previous version after a bad change","I want to back up my workflows for disaster recovery","I need to share a workflow template with another team member"],"best_for":["Small teams with simple workflows and low change frequency","Individual analysts building personal automation scripts","Teams with informal change management processes"],"limitations":["No branching or parallel versions — only linear history available","No approval workflow or staging environment — changes go live immediately","Version history retention is unclear (likely 30-90 days); long-term archival requires manual export","No diff view between versions — must manually compare exported JSON files"],"requires":["Workflow must be saved before version history is created","For export/import: JSON file access and import permissions in target account"],"input_types":["workflow modifications","version selection from history"],"output_types":["workflow JSON export","version history list","reverted workflow state"],"categories":["automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_bricklayer-ai__cap_7","uri":"capability://tool.use.integration.api.based.workflow.access.and.management","name":"api-based workflow access and management","description":"Exposes REST API endpoints to create, read, update, and delete workflows programmatically, as well as trigger workflow execution and retrieve execution history. API authentication uses API keys scoped to specific workflows or accounts. This enables external systems to manage Bricklayer workflows as code and integrate workflow execution into larger automation platforms.","intents":["I want to create workflows dynamically based on user input in my application","I need to trigger a Bricklayer workflow from my own backend service","I want to retrieve execution logs and metrics for reporting"],"best_for":["Developers embedding Bricklayer automation into larger applications","Teams building custom workflow management interfaces","Integration specialists connecting Bricklayer to enterprise platforms"],"limitations":["API documentation is sparse; endpoint specifications and rate limits are not clearly documented","No SDK provided for common languages (Python, JavaScript, Go) — requires raw HTTP requests","Rate limiting policy is unclear; high-volume workflow triggers may be throttled without warning"],"requires":["API key provisioned from Bricklayer account settings","HTTP client library (curl, requests, axios, etc.)","Understanding of REST API conventions"],"input_types":["workflow JSON definitions","execution trigger parameters","query filters for history retrieval"],"output_types":["workflow metadata","execution status and results","execution logs"],"categories":["tool-use-integration","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_bricklayer-ai__cap_8","uri":"capability://data.processing.analysis.multi.source.data.aggregation.and.deduplication","name":"multi-source data aggregation and deduplication","description":"Combines data from multiple sources (APIs, databases, files) into a single dataset with automatic deduplication based on configurable key fields. The aggregation engine handles schema mismatches by mapping source fields to a unified schema, and can apply transformations during aggregation (e.g., unit conversion, date normalization). Duplicate detection uses exact matching on key fields; fuzzy matching is not supported.","intents":["I need to combine stock price data from Bloomberg and Reuters into a single dataset","I want to merge customer records from multiple databases and remove duplicates","I need to aggregate compliance data from different regulatory sources with consistent formatting"],"best_for":["Financial analysts consolidating market data from multiple vendors","Compliance teams aggregating regulatory data from different sources","Research teams combining academic and commercial datasets"],"limitations":["Deduplication uses exact key matching only — no fuzzy matching for near-duplicates","Aggregation performance degrades on datasets >1GB; requires external data warehouse for large-scale consolidation","No built-in conflict resolution when sources have conflicting values for the same record — requires manual specification of priority rules"],"requires":["Multiple data sources configured with credentials","Unified schema definition or auto-inferred from sample data","Deduplication key fields specified"],"input_types":["API responses","database query results","CSV/JSON files","webhook payloads"],"output_types":["deduplicated dataset (JSON, CSV)","aggregation statistics (record counts, duplicate counts)","conflict reports"],"categories":["data-processing-analysis","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_bricklayer-ai__cap_9","uri":"capability://safety.moderation.compliance.and.audit.logging.for.workflows","name":"compliance and audit logging for workflows","description":"Automatically logs all workflow executions with timestamps, input data (if enabled), output data, user who triggered the workflow, and execution status. Logs are immutable and retained for a configurable period (default 30 days). Audit logs can be exported for compliance reporting and include metadata for regulatory requirements (e.g., data lineage, transformation history). Access to logs is role-based, with read-only access for auditors.","intents":["I need to prove to regulators that our data processing is auditable and traceable","I want to track who triggered which workflows and when for compliance purposes","I need to export execution logs for regulatory reporting"],"best_for":["Financial services firms subject to SEC, FINRA, or other regulatory requirements","Compliance teams automating regulatory workflows with audit trail requirements","Risk teams documenting data lineage for model validation"],"limitations":["Audit logs retained for 30 days by default; longer retention requires enterprise plan or external logging integration","No built-in data lineage tracking — cannot automatically trace which source data fed into which outputs","Immutability is enforced at the application level, not cryptographically — determined by Bricklayer's internal controls"],"requires":["Compliance-grade audit logging enabled in account settings","For sensitive data: explicit opt-in to log input/output (disabled by default for privacy)","Role-based access control configured for audit log viewers"],"input_types":["workflow execution events","user actions (trigger, modify, delete)","system events (errors, retries)"],"output_types":["immutable audit logs","compliance reports (CSV, PDF)","data lineage documentation"],"categories":["safety-moderation","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":39,"verified":false,"data_access_risk":"high","permissions":["Web browser with modern JavaScript support","Active Bricklayer AI account with workflow creation permissions","API credentials for any third-party data sources being integrated","Bloomberg Terminal account or Reuters subscription","API credentials provisioned by your financial data provider","Network access to Bloomberg/Reuters servers (may require VPN in corporate environments)","Publicly accessible webhook URL or Bricklayer-provided endpoint","For authentication: API key or HMAC secret configured in workflow","Sender must support webhook delivery (most modern APIs do)","Active Bricklayer AI account with workflow execution permissions"],"failure_modes":["Visual workflows become difficult to manage beyond 20-30 nodes due to canvas complexity","No version control or branching for workflow iterations — changes are applied directly","Limited ability to express complex nested logic compared to imperative code","Requires active Bloomberg Terminal or Reuters subscription — no free tier access","Data freshness depends on source API rate limits; real-time updates may lag 5-15 seconds","Limited to pre-configured data fields; custom field extraction requires manual API integration","Webhook processing latency is ~500ms-1s due to network and processing overhead; sub-100ms latency requires direct API integration","No built-in message queuing — high-volume webhook traffic may cause dropped events if processing falls behind","Webhook retry logic is fixed (exponential backoff up to 24 hours); no customizable retry policies","Minimum scheduling granularity is 5 minutes; sub-minute triggers require webhook-based execution","builder identity is not verified yet","no observed match outcomes yet"],"rank_breakdown":{"adoption":0.2833333333333333,"quality":0.6799999999999999,"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":"2026-05-24T12:16:29.715Z","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=bricklayer-ai","compare_url":"https://unfragile.ai/compare?artifact=bricklayer-ai"}},"signature":"U2z7qlGMwivoVPWkRc6cn956Bg1EbRrV6E3Z9pR6igvdvopzJDN9irJqi9pe+SrHKqSnLTgsoBgGznSY3axoBg==","signedAt":"2026-06-21T07:13:44.799Z","signedBy":"unfragile.ai","version":1},"_links":{"self":"https://unfragile.ai/api/v1/passport/bricklayer-ai","artifact":"https://unfragile.ai/bricklayer-ai","verify":"https://unfragile.ai/api/v1/verify?slug=bricklayer-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"}}