{"passport":{"unfragile":{"@version":"1.0","version":"2026-05","artifact":{"id":"tool_baselayer","slug":"baselayer","name":"Baselayer","type":"agent","url":"https://baselayerhq.com","page_url":"https://unfragile.ai/baselayer","categories":["automation"],"tags":[],"pricing":{"model":"paid","free":false,"starting_price":null},"status":"active","verified":false},"capabilities":[{"id":"tool_baselayer__cap_0","uri":"capability://finance.automated.business.entity.verification","name":"automated-business-entity-verification","description":"Automatically verifies business entities against global registries and databases to confirm legitimacy and legal status. Uses AI matching algorithms to identify entities with high accuracy across different naming conventions and jurisdictions.","intents":["I need to quickly verify if a business is real and legally registered","I want to check a company's legal status without manual registry lookups","I need to match business entities across multiple global databases automatically"],"best_for":["fintech platforms","alternative lenders","payment processors","enterprise financial institutions"],"limitations":["coverage gaps in emerging markets","may require manual review for edge cases with unusual naming"],"requires":["business name or registration number","API integration with Baselayer","access to global registry data"],"input_types":["text (business name)","text (registration number)","text (jurisdiction)"],"output_types":["verification status (verified/unverified)","confidence score","matched entity details"],"categories":["finance","legal","compliance"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_baselayer__cap_1","uri":"capability://finance.beneficial.ownership.detection","name":"beneficial-ownership-detection","description":"Identifies and validates beneficial owners of business entities by cross-referencing against global registries and ownership databases. Automates the process of determining who ultimately controls or owns a business.","intents":["I need to identify who really owns this business for compliance purposes","I want to detect hidden ownership structures and shell companies","I need to verify beneficial ownership information automatically without manual research"],"best_for":["compliance teams","AML officers","enterprise lenders","fintech platforms"],"limitations":["some jurisdictions have limited beneficial ownership transparency","complex ownership structures may require manual verification"],"requires":["business entity identifier","access to ownership registries","API integration"],"input_types":["text (entity name or ID)","text (jurisdiction)"],"output_types":["beneficial owner list","ownership percentage","confidence scores","risk flags"],"categories":["finance","legal","compliance"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_baselayer__cap_2","uri":"capability://finance.fraud.pattern.detection","name":"fraud-pattern-detection","description":"Uses machine learning models to identify emerging fraud patterns and suspicious transaction behaviors in real-time. Continuously adapts to new fraud tactics without requiring manual rule updates.","intents":["I want to catch fraud attempts before they happen using AI instead of static rules","I need to detect new fraud patterns that my rule-based system misses","I want to reduce false positives while catching real fraud"],"best_for":["financial institutions processing high volumes","fintechs","lenders","payment platforms"],"limitations":["requires sufficient historical fraud data to train models","may have blind spots for entirely novel fraud types"],"requires":["transaction data","historical fraud labels","continuous data feed","API integration"],"input_types":["transaction data (structured)","entity information (structured)","historical patterns (structured)"],"output_types":["fraud risk score","anomaly flags","pattern classification","confidence levels"],"categories":["finance","productivity"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_baselayer__cap_3","uri":"capability://finance.kyc.workflow.automation","name":"kyc-workflow-automation","description":"Automates the entire Know Your Customer (KYC) verification workflow by orchestrating entity verification, beneficial ownership checks, and risk assessment in a single process. Eliminates manual data entry and document review steps.","intents":["I want to onboard customers faster without manual KYC reviews","I need to reduce the time my compliance team spends on repetitive KYC tasks","I want to standardize KYC processes across my organization"],"best_for":["mid-market and enterprise financial institutions","fintechs","alternative lenders"],"limitations":["high transaction volume pricing may be expensive for small operators","some jurisdictions may require manual final approval"],"requires":["customer/entity information","API integration","compliance policies","document submission capability"],"input_types":["customer data (structured)","business information (text/structured)","documents (optional)"],"output_types":["kyc status (approved/rejected/pending)","verification report","risk assessment","audit trail"],"categories":["finance","productivity","legal"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_baselayer__cap_4","uri":"capability://finance.aml.screening.automation","name":"aml-screening-automation","description":"Automates Anti-Money Laundering (AML) screening by checking entities and individuals against sanctions lists, PEP databases, and watchlists. Reduces manual screening time while improving detection accuracy.","intents":["I need to screen customers against sanctions and PEP lists automatically","I want to ensure compliance with AML regulations without hiring more staff","I need to check transactions against global watchlists in real-time"],"best_for":["banks","fintechs","payment processors","enterprise financial institutions"],"limitations":["requires access to current sanctions and PEP databases","false positives still require manual review"],"requires":["entity/individual names","access to watchlist data","API integration","compliance framework"],"input_types":["text (name)","text (jurisdiction)","structured entity data"],"output_types":["match status (hit/no-hit)","match confidence","watchlist source","risk level"],"categories":["finance","legal","compliance"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_baselayer__cap_5","uri":"capability://finance.false.positive.reduction","name":"false-positive-reduction","description":"Uses machine learning to intelligently filter out false positives in compliance screening, reducing unnecessary manual reviews while maintaining security. Learns from historical false positives to improve accuracy over time.","intents":["I want to reduce the number of false fraud alerts my team investigates","I need to focus my compliance team on real risks, not noise","I want to improve the signal-to-noise ratio in my fraud detection"],"best_for":["high-volume financial operations","compliance teams","fraud analysts"],"limitations":["requires sufficient historical data to train models","may miss edge cases"],"requires":["alert data","resolution outcomes","feedback loop","ml model training"],"input_types":["alert data (structured)","resolution labels (structured)"],"output_types":["filtered alert list","confidence scores","priority ranking"],"categories":["finance","productivity"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_baselayer__cap_6","uri":"capability://productivity.api.based.compliance.integration","name":"api-based-compliance-integration","description":"Provides REST APIs and webhooks to integrate Baselayer's verification and fraud detection capabilities directly into existing banking, lending, and fintech infrastructure. Enables seamless data flow without custom development.","intents":["I want to integrate fraud detection into my existing lending platform","I need to add KYC verification to my onboarding flow without rebuilding it","I want to receive real-time alerts when suspicious activity is detected"],"best_for":["technical teams","platform engineers","fintech developers"],"limitations":["requires API integration work","rate limits may apply at scale"],"requires":["API credentials","technical integration capability","webhook endpoints"],"input_types":["json (entity data)","json (transaction data)","json (customer info)"],"output_types":["json (verification results)","json (risk scores)","webhooks (alerts)"],"categories":["productivity","finance"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_baselayer__cap_7","uri":"capability://finance.global.registry.matching","name":"global-registry-matching","description":"Matches business entities against comprehensive global registries and databases spanning multiple jurisdictions. Uses fuzzy matching and entity resolution to handle naming variations and incomplete data.","intents":["I need to find a business in global registries even with incomplete or misspelled names","I want to verify businesses across multiple countries in one query","I need to handle entity name variations and abbreviations automatically"],"best_for":["international financial institutions","global fintechs","multinational lenders"],"limitations":["coverage gaps in emerging markets","some jurisdictions have limited public registry data"],"requires":["business name or identifier","jurisdiction information","access to global registries"],"input_types":["text (business name)","text (jurisdiction)","text (registration number)"],"output_types":["matched entities","match confidence","registry source","entity details"],"categories":["finance","legal"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_baselayer__cap_8","uri":"capability://legal.compliance.audit.trail.generation","name":"compliance-audit-trail-generation","description":"Automatically generates detailed audit trails and compliance documentation for all verification and screening activities. Creates records suitable for regulatory review and internal compliance audits.","intents":["I need to prove to regulators that we performed proper KYC/AML checks","I want to maintain detailed records of all verification activities for audits","I need to generate compliance reports for regulatory submissions"],"best_for":["compliance officers","audit teams","regulated financial institutions"],"limitations":["audit trail retention depends on system configuration"],"requires":["verification activity logs","compliance framework","storage capability"],"input_types":["verification events (structured)","user actions (structured)"],"output_types":["audit report (pdf/json)","compliance documentation","timestamp records"],"categories":["legal","compliance","productivity"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_baselayer__cap_9","uri":"capability://finance.risk.scoring.and.assessment","name":"risk-scoring-and-assessment","description":"Generates comprehensive risk scores for entities and transactions based on multiple factors including verification status, fraud patterns, and watchlist matches. Provides actionable risk levels for decision-making.","intents":["I want a single risk score to decide whether to approve or reject a customer","I need to prioritize which customers to review manually based on risk","I want to understand what factors contributed to a customer's risk score"],"best_for":["underwriters","risk managers","compliance teams","loan officers"],"limitations":["risk models may not capture all contextual factors","requires calibration for specific business needs"],"requires":["entity data","transaction history","verification results","ml models"],"input_types":["structured entity data","transaction data","verification results"],"output_types":["risk score (numeric)","risk level (low/medium/high)","risk factors breakdown"],"categories":["finance","productivity"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":51,"verified":false,"data_access_risk":"low","permissions":["business name or registration number","API integration with Baselayer","access to global registry data","business entity identifier","access to ownership registries","API integration","transaction data","historical fraud labels","continuous data feed","customer/entity information"],"failure_modes":["coverage gaps in emerging markets","may require manual review for edge cases with unusual naming","some jurisdictions have limited beneficial ownership transparency","complex ownership structures may require manual verification","requires sufficient historical fraud data to train models","may have blind spots for entirely novel fraud types","high transaction volume pricing may be expensive for small operators","some jurisdictions may require manual final approval","requires access to current sanctions and PEP databases","false positives still require manual review","builder identity is not verified yet","no observed match outcomes yet"],"rank_breakdown":{"adoption":0.43333333333333335,"quality":0.86,"ecosystem":0.25,"match_graph":0.25,"freshness":0.75,"weights":{"adoption":0.25,"quality":0.25,"ecosystem":0.1,"match_graph":0.28,"freshness":0.12}},"observed_outcomes":{"matches":0,"success_rate":0,"avg_confidence":0,"top_intents":[],"last_matched_at":null},"maintenance":{"status":"active","updated_at":"2026-05-24T12:16:29.134Z","last_scraped_at":"2026-04-05T13:23:42.537Z","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=baselayer","compare_url":"https://unfragile.ai/compare?artifact=baselayer"}},"signature":"FY5uwoIhdYWmz29cAPoKjhYYornkewiuhW7ckrAO1UvUtmXmeOO1uEwIFwmSos7kCd/8EonUUTlCDG4b3+ZcBg==","signedAt":"2026-06-22T18:33:59.329Z","signedBy":"unfragile.ai","version":1},"_links":{"self":"https://unfragile.ai/api/v1/passport/baselayer","artifact":"https://unfragile.ai/baselayer","verify":"https://unfragile.ai/api/v1/verify?slug=baselayer","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"}}