{"passport":{"unfragile":{"@version":"1.0","version":"2026-05","artifact":{"id":"genesis-cloud","slug":"genesis-cloud","name":"Genesis Cloud","type":"platform","url":"https://www.genesiscloud.com","page_url":"https://unfragile.ai/genesis-cloud","categories":["deployment-infra"],"tags":[],"pricing":{"model":"free","free":true,"starting_price":null},"status":"active","verified":false},"capabilities":[{"id":"genesis-cloud__cap_0","uri":"capability://automation.workflow.on.demand.gpu.instance.provisioning.with.per.gpu.billing","name":"on-demand gpu instance provisioning with per-gpu billing","description":"Provisions bare-metal GPU compute nodes (minimum 8 GPUs per HGX node) with hourly per-GPU billing rather than per-node aggregation. Uses Tier 3 data center infrastructure across 8 geographic regions (EU: Norway, France, Spain, Finland; North America: USA, Canada; UK; Netherlands) with claimed instant provisioning. Billing model charges separately per GPU (e.g., $1.60/h per H100 SXM5) rather than bundling costs, enabling fine-grained cost control for multi-GPU workloads while maintaining minimum 8-GPU node commitment for HGX instances.","intents":["Provision H100/H200/B200 GPUs for distributed training without per-node cost aggregation","Spin up GPU instances in EU-sovereign data centers for compliance-sensitive AI workloads","Access latest NVIDIA Blackwell (B200) GPUs for inference or training experiments","Rent consumer-grade GPUs (RTX 4090, RTX 3090, RTX 3080) for cost-sensitive development"],"best_for":["Enterprise AI teams training large models requiring 8+ GPUs","EU-based organizations needing sovereign cloud infrastructure","Teams optimizing GPU utilization costs through per-GPU billing transparency","Researchers requiring latest-generation NVIDIA hardware (H200, B200)"],"limitations":["Minimum 8-GPU node commitment for HGX instances (no single-GPU rental option)","Auto-scaling behavior undocumented — may require manual node provisioning for dynamic workloads","Geographic coverage limited to 8 regions (vs. global providers like AWS/Azure with 30+ regions)","Cold start latency not documented — unknown provisioning time from request to GPU availability","No preemptible/spot instances mentioned — only on-demand and reserved (pricing unknown)"],"requires":["Active Genesis Cloud account with payment method","Application approval for testing period access","Network connectivity to chosen data center region","Custom deployment tooling (no managed ML platform abstractions provided)"],"input_types":["instance configuration parameters (GPU type, count, region, CPU/RAM specs)","storage requirements (block, file, or object storage sizing)"],"output_types":["provisioned bare-metal node with SSH access","instance metadata (IP addresses, RDMA endpoints, storage mount points)","hourly billing records per GPU"],"categories":["automation-workflow","infrastructure-as-a-service"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"genesis-cloud__cap_1","uri":"capability://automation.workflow.multi.region.gpu.instance.selection.with.renewable.energy.sourcing","name":"multi-region gpu instance selection with renewable energy sourcing","description":"Enables selection of GPU instances across 8 data center regions (Norway, France, Spain, Finland, USA, Canada, Great Britain, Netherlands) with infrastructure powered by renewable energy sources. Implements region-specific GPU availability (e.g., H100 available in all regions, B200 Blackwell only in Norway, RTX 4090 only in Great Britain). Uses Tier 3 data center architecture with 99.9% uptime SLA. No documented multi-region failover or load balancing — requires manual region selection per deployment.","intents":["Deploy AI workloads in EU-sovereign data centers for GDPR/data residency compliance","Select GPU instances based on regional availability (e.g., B200 access in Norway only)","Minimize carbon footprint by leveraging 100% renewable energy infrastructure","Reduce latency by choosing geographically proximate data centers"],"best_for":["EU-based enterprises requiring sovereign cloud infrastructure","Organizations with carbon-neutral or ESG computing mandates","Teams needing specific GPU models available only in certain regions","Workloads with geographic latency constraints"],"limitations":["No automatic multi-region failover documented — manual intervention required for region switching","GPU availability varies by region (B200 only in Norway, RTX 4090 only in Great Britain)","Data residency guarantees not documented — unclear if data remains in selected region","No cross-region replication or disaster recovery procedures documented","Renewable energy sourcing claims not independently verified (no PUE metrics or certifications provided)"],"requires":["Genesis Cloud account with regional access enabled","Knowledge of GPU availability per region","Network routing configuration for chosen region","Compliance requirements documentation (for EU sovereignty claims)"],"input_types":["region selection (Norway, France, Spain, Finland, USA, Canada, Great Britain, Netherlands)","GPU type and quantity requirements","compliance/residency requirements"],"output_types":["region-specific instance endpoints","data center location metadata","renewable energy sourcing certification (if available)"],"categories":["automation-workflow","infrastructure-as-a-service"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"genesis-cloud__cap_10","uri":"capability://automation.workflow.99.9.uptime.sla.with.tier.3.data.center.infrastructure","name":"99.9% uptime sla with tier 3 data center infrastructure","description":"Provides 99.9% uptime SLA backed by Tier 3 data center infrastructure across 8 regions. Tier 3 classification implies redundant power, cooling, and network infrastructure with N+1 redundancy. No documentation on failover procedures, RTO/RPO guarantees, or incident response SLAs. No multi-region failover or automatic recovery mechanisms documented — SLA appears to be per-region only.","intents":["Deploy production AI workloads with 99.9% availability guarantee","Ensure infrastructure reliability for mission-critical training jobs","Meet SLA requirements for enterprise deployments"],"best_for":["Enterprise teams requiring production-grade availability","Workloads with strict uptime requirements","Organizations with SLA compliance mandates"],"limitations":["SLA applies per-region only — no multi-region failover documented","RTO (Recovery Time Objective) and RPO (Recovery Point Objective) not specified","Incident response SLA not documented","No documented automatic failover or recovery procedures","SLA credit policy and remediation procedures not documented","Tier 3 classification implies N+1 redundancy but specific architecture not documented"],"requires":["Genesis Cloud account with SLA coverage","Understanding of Tier 3 data center architecture","Incident response procedures and escalation contacts"],"input_types":["instance configuration","region selection"],"output_types":["99.9% uptime guarantee","SLA documentation and credits (if applicable)"],"categories":["automation-workflow","infrastructure-as-a-service"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"genesis-cloud__cap_11","uri":"capability://safety.moderation.iso.27001.compliance.certification.for.information.security","name":"iso 27001 compliance certification for information security","description":"Genesis Cloud holds ISO 27001 certification for information security management systems. Implies documented security controls, access management, and incident response procedures. No documentation on data encryption, network security, or compliance with other standards (SOC 2, HIPAA, GDPR). Certification scope and audit date not provided.","intents":["Deploy workloads on infrastructure with certified information security controls","Meet compliance requirements for regulated industries","Ensure data protection and access management standards"],"best_for":["Organizations requiring ISO 27001 compliance","Teams handling sensitive data with security requirements","Enterprise deployments with compliance mandates"],"limitations":["ISO 27001 scope and audit date not documented","No documentation on encryption at rest or in transit","Network security architecture not documented","Compliance with other standards (SOC 2, HIPAA, GDPR) not mentioned","Data residency and sovereignty guarantees not detailed","Incident response procedures and SLAs not documented"],"requires":["Genesis Cloud account","Understanding of ISO 27001 requirements","Compliance documentation and audit procedures"],"input_types":["compliance requirements","data classification"],"output_types":["ISO 27001 certification documentation","security controls attestation"],"categories":["safety-moderation","infrastructure-as-a-service"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"genesis-cloud__cap_12","uri":"capability://automation.workflow.cost.competitive.pricing.with.claimed.80.savings.vs.legacy.providers","name":"cost-competitive pricing with claimed 80% savings vs. legacy providers","description":"Genesis Cloud claims 80% cost savings compared to legacy cloud providers (AWS, Azure, GCP) through per-GPU billing, zero egress fees, and renewable energy infrastructure. Pricing: H100 $1.60/h per GPU, H200 $2.80/h per GPU, B200 $2.80/h per GPU, RTX 4090 $0.55/h, RTX 3090 $0.20/h, RTX 3080 $0.08/h. No competitor pricing comparison provided to substantiate 80% claim. Reserved instance pricing not documented.","intents":["Reduce GPU compute costs for large-scale training workloads","Avoid egress fees that typically inflate cloud costs","Optimize total cost of ownership for distributed training"],"best_for":["Cost-sensitive teams with large GPU compute requirements","Organizations with data-intensive workloads (high egress costs elsewhere)","Teams optimizing for total cost of ownership"],"limitations":["80% savings claim not substantiated with competitor pricing comparison","Comparison methodology not documented","Reserved instance pricing not documented","Minimum 8-GPU node commitment increases upfront costs vs. single-GPU rental","No volume discounts or long-term commitment pricing documented","Pricing comparison may not account for managed service features (auto-scaling, load balancing)"],"requires":["Genesis Cloud account with payment method","Understanding of per-GPU billing model","Comparison with competitor pricing for accurate ROI calculation"],"input_types":["GPU type and quantity","usage duration (hours/month)","data transfer volume (GB)"],"output_types":["hourly billing rate per GPU","monthly cost estimate","cost comparison vs. competitors (if calculated externally)"],"categories":["automation-workflow","infrastructure-as-a-service"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"genesis-cloud__cap_2","uri":"capability://data.processing.analysis.s3.compatible.object.storage.with.zero.egress.fees","name":"s3-compatible object storage with zero egress fees","description":"Provides S3-compatible object storage API ($0.03/GB/month) integrated with GPU instances, with explicit zero ingress/egress fees and no traffic charges for data movement. Supports standard S3 operations (PUT, GET, DELETE) through compatible tooling (boto3, AWS CLI, etc.). Includes snapshot functionality ($0.02/GB/month) for point-in-time backups. No documented replication, versioning, or lifecycle policies — appears to be basic object storage without advanced data management features.","intents":["Store training datasets and model checkpoints without egress cost penalties","Integrate with existing S3-compatible tooling (boto3, AWS CLI) without code changes","Snapshot training data for reproducibility and disaster recovery","Avoid egress fees when moving data between GPU instances and storage"],"best_for":["Teams with large training datasets requiring cost-effective storage","Workloads with frequent data movement between compute and storage","Organizations already using S3-compatible tooling","ML pipelines requiring checkpoint snapshots"],"limitations":["No replication or multi-region failover documented","Versioning, lifecycle policies, and access control details not documented","Snapshot retention policies not specified — unclear if snapshots persist indefinitely","No documented encryption at rest or in transit","Storage performance characteristics (throughput, latency) not documented"],"requires":["S3-compatible client library (boto3, AWS CLI, etc.)","Genesis Cloud account with storage access credentials","Network connectivity to storage endpoints","Understanding of S3 API semantics"],"input_types":["object data (binary, text, model checkpoints)","S3 API operations (PUT, GET, DELETE, LIST)","snapshot configuration (source bucket, retention)"],"output_types":["stored objects accessible via S3 API","snapshot metadata and recovery points","storage usage metrics and billing records"],"categories":["data-processing-analysis","infrastructure-as-a-service"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"genesis-cloud__cap_3","uri":"capability://data.processing.analysis.high.speed.file.storage.with.rdma.networking","name":"high-speed file storage with rdma networking","description":"Provides high-speed file storage ($0.10/GB/month) integrated with 3.2 Tbps InfiniBand RDMA networking on HGX nodes, enabling low-latency data access for distributed training. Supports direct GPU-to-storage communication via RDMA without CPU bottlenecks. Node configuration includes 30.72 TB NVMe SSD (4x 7.68 TB) for local caching. No documented file system type (NFS, Lustre, etc.), replication, or performance SLAs — appears to be basic high-speed storage without advanced parallel file system features.","intents":["Accelerate distributed training by providing low-latency data access via RDMA","Avoid CPU bottlenecks in data loading pipelines through GPU-direct storage access","Cache large datasets on local NVMe for repeated training iterations","Reduce training time by minimizing data movement latency"],"best_for":["Large-scale distributed training requiring sub-millisecond data access","Teams with multi-node training jobs (8+ GPUs) where data loading is a bottleneck","Workloads with repeated dataset access (fine-tuning, hyperparameter search)","Organizations optimizing for training throughput over cost"],"limitations":["File system type not documented — unclear if NFS, Lustre, or proprietary implementation","RDMA performance characteristics (latency, throughput) not specified","Replication and failover behavior not documented","Local NVMe capacity (30.72 TB) may be insufficient for very large datasets","No documented backup or disaster recovery for file storage","Pricing ($0.10/GB/month) is 3.3x higher than object storage ($0.03/GB/month)"],"requires":["HGX node instance (minimum 8 GPUs) — not available on consumer GPU instances","RDMA-capable network drivers and client libraries","Training framework with RDMA support (PyTorch, TensorFlow, etc.)","Understanding of RDMA programming model"],"input_types":["training datasets (images, text, structured data)","RDMA read/write operations from GPU kernels","file system mount configuration"],"output_types":["low-latency data streams to GPU memory","RDMA performance metrics (throughput, latency)","storage usage and billing records"],"categories":["data-processing-analysis","infrastructure-as-a-service"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"genesis-cloud__cap_4","uri":"capability://data.processing.analysis.block.storage.with.snapshot.and.replication.capabilities","name":"block storage with snapshot and replication capabilities","description":"Provides block storage ($0.04/GB/month) for persistent volumes attached to GPU instances, with snapshot functionality ($0.02/GB/month) for point-in-time backups. Supports standard block storage operations (create, attach, detach, delete). Snapshot retention policies and replication behavior not documented — appears to be basic block storage without advanced data protection features. No documented encryption, compression, or performance tiers.","intents":["Persist training state and model checkpoints across instance restarts","Create point-in-time backups of training data and model artifacts","Attach persistent volumes to multiple instances for shared access","Implement disaster recovery through snapshot-based recovery"],"best_for":["Teams requiring persistent storage for long-running training jobs","Workloads with checkpoint-based recovery requirements","Organizations implementing backup and disaster recovery procedures","Cost-sensitive deployments (cheaper than high-speed file storage)"],"limitations":["Snapshot retention policies not documented — unclear if snapshots persist indefinitely or have TTL","Replication and failover behavior not specified","No documented encryption at rest or in transit","Performance characteristics (IOPS, throughput, latency) not specified","Multi-instance attachment behavior not documented","No documented backup scheduling or lifecycle policies"],"requires":["Genesis Cloud account with block storage access","GPU instance with block storage attachment capability","File system driver support (ext4, XFS, etc.)","Snapshot management tooling or API integration"],"input_types":["storage size specification (GB)","snapshot source volume","attachment configuration (instance ID, mount point)"],"output_types":["block device accessible as /dev/sdX","snapshot metadata and recovery points","storage usage and billing records"],"categories":["data-processing-analysis","infrastructure-as-a-service"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"genesis-cloud__cap_5","uri":"capability://automation.workflow.cpu.instance.provisioning.for.non.gpu.workloads","name":"cpu instance provisioning for non-gpu workloads","description":"Provisions CPU-only instances with AMD EPYC 7552 processors in configurations from 2-24 vCPUs with 4-48 GiB RAM, priced at $0.10-$1.20/h. Enables cost-effective compute for preprocessing, inference serving, and non-GPU workloads. Shares same zero-egress-fee and renewable-energy infrastructure as GPU instances. No documented auto-scaling, load balancing, or managed service abstractions — bare-metal CPU provisioning only.","intents":["Run data preprocessing pipelines before GPU training without GPU costs","Deploy CPU-based inference servers for low-latency model serving","Execute batch jobs and ETL workflows on cost-effective CPU instances","Provision control plane and orchestration services for distributed training"],"best_for":["Teams with mixed GPU/CPU workloads seeking unified infrastructure","Organizations optimizing costs by separating CPU and GPU compute","Preprocessing pipelines and data preparation workflows","CPU-based inference serving and batch processing"],"limitations":["CPU performance characteristics (clock speed, cache, memory bandwidth) not documented","No auto-scaling or load balancing documented","No managed service abstractions (Kubernetes, container orchestration) mentioned","Pricing range ($0.10-$1.20/h) is broad — unclear which configuration maps to which price","No documented CPU instance availability across all 8 regions"],"requires":["Genesis Cloud account with CPU instance access","Custom deployment tooling (no managed abstractions provided)","Network connectivity to chosen data center region","Understanding of bare-metal provisioning"],"input_types":["CPU configuration (vCPU count, RAM size)","region selection","storage attachment configuration"],"output_types":["provisioned CPU instance with SSH access","instance metadata (IP addresses, CPU specs)","hourly billing records"],"categories":["automation-workflow","infrastructure-as-a-service"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"genesis-cloud__cap_6","uri":"capability://automation.workflow.inference.endpoint.deployment.undocumented.capability","name":"inference endpoint deployment (undocumented capability)","description":"Genesis Cloud lists 'Inference Endpoints' as a product offering, but no technical documentation, pricing, or implementation details are provided. Inferred capability: managed inference serving for deployed models on GPU or CPU instances. No information on auto-scaling, request routing, model versioning, or API gateway functionality. This capability is mentioned but not substantiated in available documentation.","intents":["Deploy trained models as inference endpoints for production serving","Serve multiple model versions with automatic routing","Scale inference serving based on request volume"],"best_for":["Teams deploying inference workloads on Genesis Cloud infrastructure"],"limitations":["CRITICAL: No technical documentation provided — implementation unknown","Pricing not documented","Auto-scaling behavior unknown","Model versioning and routing unknown","API gateway and request handling unknown","SLA and availability guarantees unknown"],"requires":["Genesis Cloud account","Trained model artifact","Unknown: API key, authentication mechanism, deployment format"],"input_types":["model artifact (format unknown)","inference request (format unknown)"],"output_types":["inference result (format unknown)","endpoint metadata (unknown)"],"categories":["automation-workflow","infrastructure-as-a-service"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"genesis-cloud__cap_7","uri":"capability://planning.reasoning.mlops.platform.integration.undocumented.capability","name":"mlops platform integration (undocumented capability)","description":"Genesis Cloud lists 'MLOps Platform' as a product offering, but no technical documentation, features, or integration details are provided. Inferred capability: managed ML workflow orchestration, experiment tracking, or model registry. No information on supported frameworks, CI/CD integration, or data lineage tracking. This capability is mentioned but not substantiated in available documentation.","intents":["Orchestrate multi-step ML workflows on Genesis Cloud infrastructure","Track experiments and model versions","Integrate with CI/CD pipelines for automated training"],"best_for":["Teams seeking integrated MLOps tooling on Genesis Cloud"],"limitations":["CRITICAL: No technical documentation provided — implementation unknown","Supported frameworks unknown","CI/CD integration unknown","Experiment tracking features unknown","Model registry capabilities unknown","Pricing not documented"],"requires":["Genesis Cloud account","Unknown: MLOps platform access, configuration, API keys"],"input_types":["workflow definition (format unknown)","training scripts (language/framework unknown)"],"output_types":["experiment results (format unknown)","model artifacts (format unknown)"],"categories":["planning-reasoning","infrastructure-as-a-service"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"genesis-cloud__cap_8","uri":"capability://automation.workflow.nvidia.reference.architecture.based.infrastructure.design","name":"nvidia reference architecture-based infrastructure design","description":"Genesis Cloud claims infrastructure is 'built on NVIDIA's reference architecture' for HGX nodes, but no technical documentation substantiates this claim. Inferred capability: HGX node configuration (8x H100/H200/B200 GPUs, 2x Intel Xeon CPUs, 3.2 Tbps InfiniBand, 2TB DDR5 RAM) follows NVIDIA's recommended topology for distributed training. No documentation on custom modifications, optimization, or divergence from reference architecture.","intents":["Deploy training infrastructure optimized for NVIDIA's recommended topology","Leverage NVIDIA's reference architecture for distributed training","Ensure compatibility with NVIDIA's software stack (CUDA, cuDNN, NCCL)"],"best_for":["Teams familiar with NVIDIA reference architecture","Workloads optimized for NVIDIA's recommended topology"],"limitations":["No technical documentation substantiating 'reference architecture' claim","Custom modifications or optimizations not documented","Divergence from NVIDIA reference architecture not disclosed","No NVIDIA certification or validation mentioned","Compatibility with NVIDIA software stack not explicitly documented"],"requires":["Understanding of NVIDIA HGX node topology","NVIDIA CUDA and cuDNN software stack","Familiarity with NVIDIA reference architecture"],"input_types":["training scripts optimized for NVIDIA topology"],"output_types":["HGX node instance with NVIDIA-optimized configuration"],"categories":["automation-workflow","infrastructure-as-a-service"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"genesis-cloud__cap_9","uri":"capability://data.processing.analysis.vast.data.platform.integration.for.ai.data.management","name":"vast data platform integration for ai data management","description":"Genesis Cloud mentions integration with VAST Data platform for AI data management, but no technical documentation details the integration. Inferred capability: VAST Data's unified file and object storage system integrated with Genesis Cloud GPU instances for optimized data access patterns. No documentation on API integration, performance characteristics, or configuration requirements.","intents":["Leverage VAST Data's unified storage for AI workloads on Genesis Cloud","Optimize data access patterns for distributed training","Integrate existing VAST Data deployments with Genesis Cloud GPU instances"],"best_for":["Organizations already using VAST Data platform","Teams requiring advanced data management for large-scale training"],"limitations":["No technical documentation on integration provided","API and configuration details unknown","Performance characteristics not documented","Pricing and licensing implications unknown","Compatibility with Genesis Cloud storage offerings unclear"],"requires":["VAST Data platform license and deployment","Genesis Cloud account with VAST integration enabled","Network connectivity between VAST Data and Genesis Cloud instances"],"input_types":["VAST Data configuration","training data in VAST Data system"],"output_types":["optimized data access from GPU instances","performance metrics (unknown format)"],"categories":["data-processing-analysis","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"genesis-cloud__headline","uri":"capability://deployment.infra.sustainable.gpu.cloud.provider.for.ai.training.and.inference","name":"sustainable gpu cloud provider for ai training and inference","description":"Genesis Cloud is a sustainable GPU cloud provider focused on AI and machine learning workloads, offering NVIDIA GPU instances powered by renewable energy for competitive pricing and carbon-neutral computing.","intents":["best GPU cloud provider","GPU instances for AI training","sustainable cloud computing solutions","affordable GPU cloud for machine learning","carbon-neutral GPU hosting"],"best_for":["AI developers","machine learning engineers"],"limitations":[],"requires":[],"input_types":[],"output_types":[],"categories":["deployment-infra"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":56,"verified":false,"data_access_risk":"high","permissions":["Active Genesis Cloud account with payment method","Application approval for testing period access","Network connectivity to chosen data center region","Custom deployment tooling (no managed ML platform abstractions provided)","Genesis Cloud account with regional access enabled","Knowledge of GPU availability per region","Network routing configuration for chosen region","Compliance requirements documentation (for EU sovereignty claims)","Genesis Cloud account with SLA coverage","Understanding of Tier 3 data center architecture"],"failure_modes":["Minimum 8-GPU node commitment for HGX instances (no single-GPU rental option)","Auto-scaling behavior undocumented — may require manual node provisioning for dynamic workloads","Geographic coverage limited to 8 regions (vs. global providers like AWS/Azure with 30+ regions)","Cold start latency not documented — unknown provisioning time from request to GPU availability","No preemptible/spot instances mentioned — only on-demand and reserved (pricing unknown)","No automatic multi-region failover documented — manual intervention required for region switching","GPU availability varies by region (B200 only in Norway, RTX 4090 only in Great Britain)","Data residency guarantees not documented — unclear if data remains in selected region","No cross-region replication or disaster recovery procedures documented","Renewable energy sourcing claims not independently verified (no PUE metrics or certifications provided)","builder identity is not verified yet","no observed match outcomes yet"],"rank_breakdown":{"adoption":0.7,"quality":0.9,"ecosystem":0.15000000000000002,"match_graph":0.25,"freshness":0.75,"weights":{"adoption":0.3,"quality":0.25,"ecosystem":0.15,"match_graph":0.25,"freshness":0.05}},"observed_outcomes":{"matches":0,"success_rate":0,"avg_confidence":0,"top_intents":[],"last_matched_at":null},"maintenance":{"status":"active","updated_at":"2026-05-24T12:16:21.549Z","last_scraped_at":null,"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=genesis-cloud","compare_url":"https://unfragile.ai/compare?artifact=genesis-cloud"}},"signature":"TcvKgEckcam2aZr2xFfGPfvqhdAffkFdhak1xwEOPWzQLjYISY7WUzhoT30F/YHfS+DezNwz6JXrISFiz/rEAg==","signedAt":"2026-06-20T19:53:45.112Z","signedBy":"unfragile.ai","version":1},"_links":{"self":"https://unfragile.ai/api/v1/passport/genesis-cloud","artifact":"https://unfragile.ai/genesis-cloud","verify":"https://unfragile.ai/api/v1/verify?slug=genesis-cloud","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"}}