{"passport":{"unfragile":{"@version":"1.0","version":"2026-05","artifact":{"id":"hn-47721255","slug":"eve-managed-openclaw-for-work","name":"Eve – Managed OpenClaw for work","type":"agent","url":"https://eve.new/login","page_url":"https://unfragile.ai/eve-managed-openclaw-for-work","categories":["ai-agents"],"tags":["hackernews","show-hn"],"pricing":{"model":"unknown","free":false,"starting_price":null},"status":"active","verified":false},"capabilities":[{"id":"hn-47721255__cap_0","uri":"capability://tool.use.integration.managed.openai.api.abstraction.layer","name":"managed-openai-api-abstraction-layer","description":"Provides a managed wrapper around OpenAI's API that handles authentication, rate limiting, request queuing, and error recovery without requiring developers to manage API keys directly or implement retry logic. The system likely uses a proxy architecture that intercepts API calls, applies organizational policies, and routes requests through Eve's infrastructure to enforce usage controls and audit trails.","intents":["I want my team to use OpenAI without managing individual API keys or billing accounts","I need to enforce usage quotas and cost controls across my organization's AI usage","I want audit logs and visibility into which team members are using AI and for what","I need to switch between different LLM providers without changing application code"],"best_for":["teams and enterprises managing multiple developers' AI tool access","organizations requiring compliance and audit trails for AI usage","companies wanting to centralize LLM costs and prevent key sprawl"],"limitations":["adds network latency for every API call (proxy hop adds ~50-200ms)","depends on Eve's infrastructure availability — no local fallback option","likely limited to OpenAI initially; multi-provider support unknown","requires organizational account setup and team member provisioning"],"requires":["Eve account with organizational workspace setup","team member invitations and role assignments","integration with application code (SDK or API endpoint configuration)"],"input_types":["text prompts","structured API parameters (temperature, max_tokens, etc.)","conversation history"],"output_types":["text completions","structured JSON responses","streaming tokens"],"categories":["tool-use-integration","enterprise-api-management"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"hn-47721255__cap_1","uri":"capability://safety.moderation.team.access.control.and.provisioning","name":"team-access-control-and-provisioning","description":"Implements role-based access control (RBAC) and team member provisioning that allows administrators to grant/revoke AI tool access, set usage quotas per user or team, and manage API key distribution without exposing secrets. The system likely uses a permission matrix tied to organizational hierarchy and tracks access through session tokens or OAuth-style delegation.","intents":["I want to grant AI tool access only to specific team members or departments","I need to set spending limits per user or project to prevent runaway costs","I want to revoke access immediately when someone leaves the team","I need to audit which team members accessed which AI capabilities and when"],"best_for":["mid-to-large organizations with multiple teams and departments","companies with compliance requirements (SOC2, HIPAA, etc.)","teams practicing principle-of-least-privilege access"],"limitations":["provisioning delays if manual approval workflows are required","no fine-grained capability-level permissions (likely team or user level only)","quota enforcement may have eventual consistency delays","no built-in integration with external identity providers (LDAP, SAML) — unknown"],"requires":["Eve organizational account with admin role","team member email addresses or identity provider integration","defined access policies and quota amounts"],"input_types":["user/team identifiers","role assignments","quota configurations"],"output_types":["access tokens","permission matrices","audit logs"],"categories":["safety-moderation","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"hn-47721255__cap_2","uri":"capability://data.processing.analysis.usage.monitoring.and.cost.analytics","name":"usage-monitoring-and-cost-analytics","description":"Tracks all API calls made through Eve's managed layer, aggregates metrics by user/team/project, and provides dashboards showing token consumption, cost breakdown, and usage trends. The system likely logs request metadata (prompt length, completion length, model used, timestamp) and computes costs in real-time based on provider pricing, enabling cost attribution and forecasting.","intents":["I want to see how much my organization is spending on AI per month and per team","I need to identify which projects or users are consuming the most tokens","I want to forecast AI costs based on current usage trends","I need to generate cost reports for finance or chargeback to departments"],"best_for":["finance and operations teams managing AI infrastructure budgets","engineering leaders tracking cost efficiency of AI-powered features","organizations implementing chargeback models for AI usage"],"limitations":["cost calculations depend on Eve's pricing data staying in sync with OpenAI's current rates","historical data retention period unknown (may have limits)","no built-in cost optimization recommendations","real-time dashboards may have 5-15 minute data latency"],"requires":["Eve account with analytics/admin permissions","active API usage to generate metrics","access to Eve's dashboard or API for retrieving reports"],"input_types":["API call logs (automatically captured)","date range filters","team/user/project grouping parameters"],"output_types":["usage dashboards","CSV/JSON cost reports","trend visualizations","cost breakdowns by dimension"],"categories":["data-processing-analysis","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"hn-47721255__cap_3","uri":"capability://safety.moderation.policy.enforcement.and.usage.guardrails","name":"policy-enforcement-and-usage-guardrails","description":"Enforces organizational policies on AI usage by intercepting requests and applying rules such as blocking certain model types, enforcing prompt content filters, rate limiting per user, or preventing API calls outside business hours. The system likely uses a policy engine that evaluates each request against a rule set before forwarding to the LLM provider, with configurable actions (allow, deny, log, alert).","intents":["I want to prevent my team from using expensive models (e.g., GPT-4) without approval","I need to block requests containing sensitive data patterns (PII, credentials)","I want to enforce rate limits to prevent accidental token waste","I need to ensure AI usage complies with company security policies"],"best_for":["regulated industries (finance, healthcare) with strict data governance","enterprises managing security and compliance risks","organizations with cost-control mandates"],"limitations":["policy evaluation adds latency to every request (likely 10-50ms per rule)","no built-in content filtering for sensitive data — likely requires custom rules","policy rules are static; no dynamic/contextual policies based on user behavior","enforcement is reactive (blocks requests) not preventive (educates users)"],"requires":["Eve account with policy administration permissions","defined organizational policies and rules","understanding of policy syntax/configuration format"],"input_types":["policy rule definitions","API requests (automatically intercepted)","user/team context"],"output_types":["allow/deny decisions","audit logs of policy violations","alerts for blocked requests"],"categories":["safety-moderation","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"hn-47721255__cap_4","uri":"capability://automation.workflow.multi.workspace.and.organization.isolation","name":"multi-workspace-and-organization-isolation","description":"Supports multiple isolated organizational workspaces within a single Eve instance, with separate billing, team rosters, policies, and audit logs per workspace. The system likely uses tenant isolation patterns (database row-level security, namespace prefixes, or separate data stores) to ensure data and configuration from one organization cannot leak into another.","intents":["I want to manage AI usage separately for different business units or subsidiaries","I need to isolate AI infrastructure for different clients (if we're an agency)","I want to prevent cross-team visibility of usage data and costs","I need to apply different policies to different organizational units"],"best_for":["enterprises with multiple business units or divisions","agencies or consulting firms managing AI for multiple clients","organizations with strict data isolation requirements"],"limitations":["workspace switching may require re-authentication","cross-workspace analytics or consolidated reporting likely not supported","workspace creation/deletion may require admin intervention","no shared resources or policies across workspaces"],"requires":["Eve account with multi-workspace support enabled","separate workspace setup for each organization/unit","admin role to create and manage workspaces"],"input_types":["workspace identifiers","team member assignments per workspace","workspace-specific configurations"],"output_types":["isolated audit logs per workspace","workspace-specific dashboards","separate billing records"],"categories":["automation-workflow","safety-moderation"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"hn-47721255__cap_5","uri":"capability://safety.moderation.api.key.and.credential.management","name":"api-key-and-credential-management","description":"Centralizes API key generation, rotation, and revocation for team members, eliminating the need for developers to manage OpenAI credentials directly. The system likely generates short-lived tokens or session keys tied to Eve's authentication layer, with automatic rotation policies and audit trails for key creation/revocation events.","intents":["I want to generate API keys for my team without exposing OpenAI credentials","I need to rotate keys automatically to reduce exposure risk","I want to revoke a key immediately if it's compromised or a developer leaves","I need to audit who created/revoked keys and when"],"best_for":["security-conscious teams implementing credential rotation policies","organizations with frequent team turnover","teams following zero-trust security principles"],"limitations":["key rotation may cause brief service interruptions if not handled gracefully","no built-in key expiration enforcement (likely manual or policy-based)","lost keys cannot be recovered — users must generate new ones","key audit logs retention period unknown"],"requires":["Eve account with credential management permissions","team member identities to assign keys to","application code updated to use Eve-issued keys instead of OpenAI keys"],"input_types":["key generation requests","key rotation policies","revocation commands"],"output_types":["API keys/tokens","key metadata (creation date, last used, permissions)","audit logs"],"categories":["safety-moderation","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"hn-47721255__cap_6","uri":"capability://safety.moderation.audit.logging.and.compliance.reporting","name":"audit-logging-and-compliance-reporting","description":"Maintains comprehensive audit logs of all API calls, access events, policy violations, and administrative actions, with structured logging that includes user identity, timestamp, request details, and outcome. The system likely stores logs in a tamper-resistant format and provides compliance-ready reports (e.g., for SOC2, HIPAA audits) with filtering and export capabilities.","intents":["I need to prove to auditors that we control who accesses AI tools and how","I want to investigate a security incident by reviewing API call history","I need to generate compliance reports for regulatory requirements","I want to track which users accessed sensitive data through AI"],"best_for":["regulated industries (finance, healthcare, government) with audit requirements","security teams conducting incident investigations","organizations preparing for SOC2, HIPAA, or similar certifications"],"limitations":["log retention period likely limited (30-90 days standard, longer may cost extra)","no real-time alerting on suspicious patterns (likely batch analysis only)","logs may not include full request/response content (privacy/storage constraints)","export formats may be limited (CSV, JSON only — no native SIEM integration)"],"requires":["Eve account with audit log access permissions","compliance/security team to review and interpret logs","understanding of audit log schema and available filters"],"input_types":["date range filters","user/team/action type filters","export format specifications"],"output_types":["structured audit logs (JSON, CSV)","compliance reports","filtered log views","event timelines"],"categories":["safety-moderation","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":39,"verified":false,"data_access_risk":"high","permissions":["Eve account with organizational workspace setup","team member invitations and role assignments","integration with application code (SDK or API endpoint configuration)","Eve organizational account with admin role","team member email addresses or identity provider integration","defined access policies and quota amounts","Eve account with analytics/admin permissions","active API usage to generate metrics","access to Eve's dashboard or API for retrieving reports","Eve account with policy administration permissions"],"failure_modes":["adds network latency for every API call (proxy hop adds ~50-200ms)","depends on Eve's infrastructure availability — no local fallback option","likely limited to OpenAI initially; multi-provider support unknown","requires organizational account setup and team member provisioning","provisioning delays if manual approval workflows are required","no fine-grained capability-level permissions (likely team or user level only)","quota enforcement may have eventual consistency delays","no built-in integration with external identity providers (LDAP, SAML) — unknown","cost calculations depend on Eve's pricing data staying in sync with OpenAI's current rates","historical data retention period unknown (may have limits)","builder identity is not verified yet","no observed match outcomes yet"],"rank_breakdown":{"adoption":0.58,"quality":0.24,"ecosystem":0.21000000000000002,"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":"2026-05-24T12:16:23.326Z","last_scraped_at":"2026-05-04T08:10:14.221Z","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=eve-managed-openclaw-for-work","compare_url":"https://unfragile.ai/compare?artifact=eve-managed-openclaw-for-work"}},"signature":"70tPsCB18CteyrATx0WcAVxZQuRPt7qLVWF+EPpZDOCX5zDVBEKKNQ4Jik6E2uFHS+mzhRLvk82akG0XThFnCQ==","signedAt":"2026-06-20T18:49:19.720Z","signedBy":"unfragile.ai","version":1},"_links":{"self":"https://unfragile.ai/api/v1/passport/eve-managed-openclaw-for-work","artifact":"https://unfragile.ai/eve-managed-openclaw-for-work","verify":"https://unfragile.ai/api/v1/verify?slug=eve-managed-openclaw-for-work","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"}}