{"slug":"arcade","name":"Arcade","domain":"arcade.dev","verdict":"As of 2026-07-15, ChatGPT, Claude, Gemini, Grok collectively rank Arcade first for ai agent authentication tool (one of 7 leaderboards it appears on). Source: https://modelsagree.com/product/arcade (modelsagree.com, CC BY 4.0).","best_rank":1,"categories":7,"brief":{"category":"best-ai-agent-authentication-tool","title":"Best AI agent authentication tool","rank":1,"of":9,"top":null,"day":"2026-07-16","why":[{"t":"Purpose-built agent authorization","m":["Gemini","Grok","Claude","ChatGPT"],"q":"Purpose-built actions gateway implementing a strict two-identity model"},{"t":"Secure token vaulting","m":["Gemini","Grok","Claude","ChatGPT"],"q":"secure token vaulting/auto-refresh"},{"t":"Per-user, per-tool authorization","m":["Gemini","Grok","Claude","ChatGPT"],"q":"Excellent developer experience for per-user, per-tool authorization"},{"t":"Production tool-calling agents","m":["Gemini","Grok","Claude","ChatGPT"],"q":"broad provider catalog, MCP support, and self-hostable engine suit production tool-calling agents"}],"gap":[],"fix":[{"t":"Not a general identity stack","m":["ChatGPT","Claude"],"q":"not a general identity stack"},{"t":"Vendor lock-in and potential latency","m":["Claude","Gemini"],"q":"introducing vendor lock-in and potential latency issues for existing custom execution stacks"},{"t":"Smaller first-party connector catalog","m":["Grok"],"q":"Smaller first-party connector catalog (~100 vs 800+)"}]},"entries":[{"slug":"best-ai-agent-authentication-tool","title":"Best AI agent authentication tool","rank":1,"of":9,"score":17,"appearances":4,"modelRanks":{"ChatGPT":3,"Claude":2,"Gemini":1,"Grok":1},"reason":"Purpose-built actions gateway implementing a strict two-identity model that evaluates agent and user permissions concurrently, keeping credentials securely isolated in a vault and using just-in-time authorization and URL elicitation to prevent token leakage.","reasons":[{"model":"Gemini","reason":"Purpose-built actions gateway implementing a strict two-identity model that evaluates agent and user permissions concurrently, keeping credentials securely isolated in a vault and using just-in-time authorization and URL elicitation to prevent token leakage."},{"model":"Grok","reason":"Purpose-built MCP runtime with per-action permission intersection (user + agent + delegated context), secure token vaulting/auto-refresh, hosted/governed tool execution, strong audit logs, flexible deployment (cloud/VPC/air-gapped), excels in production multi-user secure agent actions without fragile custom auth."},{"model":"Claude","reason":"Purpose-built for the hardest practical problem — agents calling Gmail, Slack, GitHub, and hundreds of other APIs as a specific user — with managed OAuth flows, scoped token brokering, and tool execution in one runtime, so developers skip building consent screens and refresh logic per provider; ranked this high because delegated third-party access is the most common real agent auth need."},{"model":"ChatGPT","reason":"Excellent developer experience for per-user, per-tool authorization: agents avoid handling credentials, OAuth is triggered only when required, and its broad provider catalog, MCP support, and self-hostable engine suit production tool-calling agents."}],"fixes":[{"model":"ChatGPT","fix":"It is primarily an agent-tool runtime and authorization broker, not a complete customer or workforce identity platform."},{"model":"Claude","fix":"It's an agent tool-calling platform, not a general identity stack — it won't handle your own app's login, and you're routing user tokens through a third-party broker, which some security teams won't accept."},{"model":"Gemini","fix":"Requires actions to be executed through its hosted runtime environment, introducing vendor lock-in and potential latency issues for existing custom execution stacks."},{"model":"Grok","fix":"Smaller first-party connector catalog (~100 vs 800+), less ideal for teams needing broadest API coverage or heavy custom data syncs beyond tool calling."}],"updated":"2026-07-15","rank_history":{"days":["2026-07-14","2026-07-15"],"ranks":[2,1]},"api":"https://modelsagree.com/api/v1/best/best-ai-agent-authentication-tool.json"},{"slug":"best-delegated-oauth-platforms-for-agents-acting-on-behalf-of-users","title":"Best delegated OAuth platforms for agents acting on behalf of users","rank":1,"of":8,"score":17,"appearances":4,"modelRanks":{"ChatGPT":1,"Claude":2,"Gemini":3,"Grok":1},"reason":"Best agent-native security model: just-in-time, tool-level OAuth scopes, tokens hidden from both model and client, strong policy/audit controls, custom providers, and cloud or self-hosted deployment; ranked first assuming least-privilege execution matters more than maximum connector count","reasons":[{"model":"ChatGPT","reason":"Best agent-native security model: just-in-time, tool-level OAuth scopes, tokens hidden from both model and client, strong policy/audit controls, custom providers, and cloud or self-hosted deployment; ranked first assuming least-privilege execution matters more than maximum connector count"},{"model":"Grok","reason":"Runtime-enforced two-identity (user + agent) delegated context with per-action permission intersection before tool calls, secure per-user OAuth token vault + auto-refresh that keeps credentials entirely out of LLM reach by hosting execution, just-in-time consent, MCP gateways, and OTel audit; assumption that production multi-user agents need call-time authorization over pure connector count"},{"model":"Claude","reason":"Purpose-built for exactly this problem — agents calling tools with per-user OAuth, with a token vault and auth flows that trigger during agent execution rather than only at login; clean SDKs and framework hooks (LangChain, etc.) make \"let the agent act as this specific user\" a few lines of code."},{"model":"Gemini","reason":"Purpose-built for agentic security using MCP-native architecture, RFC 8693 token exchange, and just-in-time user authorization loops that prevent confused-deputy vulnerabilities during autonomous execution. (Assumption: Security-conscious enterprise teams prioritize strict policy enforcement over sheer integration count.)"}],"fixes":[{"model":"ChatGPT","fix":"Its runtime-centric approach and smaller turnkey integration catalog make it excessive for teams wanting only a lightweight OAuth broker"},{"model":"Claude","fix":"Younger and smaller than the incumbents, with a thinner prebuilt tool catalog than Composio and far less enterprise identity/compliance surface than Auth0/Okta."},{"model":"Gemini","fix":"Has a smaller catalog of out-of-the-box integrations than general auth providers, making it not for developers who want plug-and-play connections to hundreds of niche long-tail APIs without custom tool wrapping."},{"model":"Grok","fix":"Narrower first-party integration catalog and opinionated execution model make it less suitable if you only need credential access without adopting its runtime"}],"updated":"2026-08-10","rank_history":{"days":["2026-08-03","2026-08-10"],"ranks":[1,1]},"api":"https://modelsagree.com/api/v1/best/best-delegated-oauth-platforms-for-agents-acting-on-behalf-of-users.json"},{"slug":"best-authentication-platforms-for-ai-agent-tool-access","title":"Best authentication platforms for AI agent tool access","rank":1,"of":9,"score":14,"appearances":3,"modelRanks":{"ChatGPT":1,"Claude":2,"Gemini":1},"reason":"Agent-native delegated OAuth, per-tool scopes, policy enforcement, secure runtime token injection, and self-hosting make it the strongest security-and-control package; near-tied with Composio, but ranks first because authorization is enforced at execution time","reasons":[{"model":"ChatGPT","reason":"Agent-native delegated OAuth, per-tool scopes, policy enforcement, secure runtime token injection, and self-hosting make it the strongest security-and-control package; near-tied with Composio, but ranks first because authorization is enforced at execution time"},{"model":"Gemini","reason":"Purpose-built for AI agent tool authorization with a strict two-identity model (agent + user context) and native Model Context Protocol (MCP) support. It features a secure token vault and handles just-in-time consent dynamically during agent execution."},{"model":"Claude","reason":"Purpose-built for exactly this problem — an auth-first tool-calling runtime where each tool ships with scoped OAuth flows (Gmail, Slack, GitHub, etc.), tokens are held server-side and never exposed to the LLM, and it doubles as an authenticated MCP server so agents act as the end user with just-in-time, least-privilege scopes. Best fit when the pain is \"my agent needs to act in users' SaaS accounts securely\" rather than general identity."}],"fixes":[{"model":"ChatGPT","fix":"Its narrower integration catalog means teams prioritizing maximum connector breadth may need custom providers"},{"model":"Claude","fix":"A young venture-backed startup with a smaller integration catalog than aggregators and some lock-in to its tool-execution runtime; not a general identity provider, so you still need separate user auth."},{"model":"Gemini","fix":"Forces developers to route tool execution through the Arcade Action Runtime, causing lock-in and latency."}],"updated":"2026-07-17","api":"https://modelsagree.com/api/v1/best/best-authentication-platforms-for-ai-agent-tool-access.json"},{"slug":"best-agent-tool-integration-platform","title":"Best agent tool integration platform","rank":2,"of":7,"score":16,"appearances":4,"modelRanks":{"ChatGPT":3,"Claude":2,"Gemini":2,"Grok":1},"reason":"Purpose-built MCP runtime with per-user delegated OAuth auth, runtime-enforced permissions (agent + user intersection), secure token vaulting, audit logs, and 8k+ agent-optimized tools; excels in production multi-user security/governance without custom plumbing (assumption: typical practitioner values reliability and blast-radius control over raw speed for real agents).","reasons":[{"model":"Grok","reason":"Purpose-built MCP runtime with per-user delegated OAuth auth, runtime-enforced permissions (agent + user intersection), secure token vaulting, audit logs, and 8k+ agent-optimized tools; excels in production multi-user security/governance without custom plumbing (assumption: typical practitioner values reliability and blast-radius control over raw speed for real agents)."},{"model":"Claude","reason":"The strongest auth architecture in the category — tokens never touch the LLM or agent code, user-scoped delegated auth is the core design rather than a feature, with a solid tool SDK and MCP support; best pick when agents act on behalf of end users in production and security review matters."},{"model":"Gemini","reason":"Built specifically as an agent-native runtime centered on the Model Context Protocol (MCP) with just-in-time consent and credential isolation, making it the most secure option for multi-user workflows. (Nearly tied with Composio; rank assumes security and user delegation outweigh raw integration count for production agents)."},{"model":"ChatGPT","reason":"Excellent MCP-native runtime with per-user, scope-aware authorization enforced at execution time, credentials withheld from models, hosted or custom MCP tools, gateways, and clean Python, JavaScript, Java, and agent-framework support. Near-tied with Nango: Arcade ranks higher for turnkey agent tool calling, while Nango wins when customization and ownership dominate."}],"fixes":[{"model":"ChatGPT","fix":"Its ready-made connector coverage is materially narrower than Composio or Pipedream, and full self-hosting is enterprise-only."},{"model":"Claude","fix":"Catalog is far smaller than Composio or Zapier, so expect to author more custom tools yourself; near-tie with Composio for security-sensitive teams."},{"model":"Gemini","fix":"Its strict alignment with the MCP-native runtime makes it difficult to integrate into legacy architectures or simple, non-agentic applications."}],"updated":"2026-07-15","rank_history":{"days":["2026-07-12","2026-07-13","2026-07-15"],"ranks":[2,2,1]},"reasoning_shift":[{"model":"ChatGPT","from":"2026-07-12","to":"2026-07-13","added":[{"t":"Turnkey tool calling advantage","q":"Arcade ranks higher for turnkey agent tool calling, while Nango wins when customization and ownership dominate."},{"t":"Self-hosting enterprise-only","q":"full self-hosting is enterprise-only"}],"dropped":[{"t":"Strong enterprise governance","q":"strong enterprise governance reduce the risk of autonomous actions"},{"t":"Cost-conscious teams","q":"less compelling for cost-conscious teams"}]}],"api":"https://modelsagree.com/api/v1/best/best-agent-tool-integration-platform.json"},{"slug":"best-managed-mcp-platforms-for-connecting-agents-to-saas-tools","title":"Best managed MCP platforms for connecting agents to SaaS tools","rank":3,"of":11,"score":8,"appearances":3,"modelRanks":{"ChatGPT":3,"Claude":4,"Gemini":3},"reason":"Best security-first runtime: per-user authorization, narrowly scoped OAuth, agent-optimized tools, MCP gateways, custom-server deployment, IdP and DLP enforcement, and strong auditability; nearly tied with Pipedream, but trades coverage for control","reasons":[{"model":"ChatGPT","reason":"Best security-first runtime: per-user authorization, narrowly scoped OAuth, agent-optimized tools, MCP gateways, custom-server deployment, IdP and DLP enforcement, and strong auditability; nearly tied with Pipedream, but trades coverage for control"},{"model":"Gemini","reason":"Purpose-built for enterprise-grade agent tool execution, providing robust just-in-time user authorization, human-in-the-loop approval workflows, SAML/OIDC enterprise auth, and verified MCP runtime safety guarantees."},{"model":"Claude","reason":"Best-in-class on the hardest part — agent authorization: per-user OAuth, secure token handling, and tool-call-time auth that works across frameworks, designed for production apps where a wrong-user token is a security incident."}],"fixes":[{"model":"ChatGPT","fix":"Its 81-server catalog is much narrower than Composio, Pipedream, or StackOne, and per-call pricing becomes material at volume"},{"model":"Claude","fix":"Smaller catalog of prebuilt SaaS tools than the leaders; you often author tools yourself, so it's less turnkey for someone who just wants breadth out of the box."},{"model":"Gemini","fix":"Smaller library of out-of-the-box pre-built SaaS connectors, requiring custom tool definitions for niche or proprietary APIs."}],"updated":"2026-08-10","rank_history":{"days":["2026-08-03","2026-08-10"],"ranks":[3,null]},"api":"https://modelsagree.com/api/v1/best/best-managed-mcp-platforms-for-connecting-agents-to-saas-tools.json"},{"slug":"best-tool-use-platforms-for-production-ai-agents","title":"Best tool-use platforms for production AI agents","rank":6,"of":14,"score":4,"appearances":2,"modelRanks":{"ChatGPT":3,"Claude":5},"reason":"Strongest choice for security-sensitive multi-user agents, with delegated user authorization, credential isolation, policy hooks, audit trails, retries, and agent-optimized MCP tools.","reasons":[{"model":"ChatGPT","reason":"Strongest choice for security-sensitive multi-user agents, with delegated user authorization, credential isolation, policy hooks, audit trails, retries, and agent-optimized MCP tools."},{"model":"Claude","reason":"Purpose-built for the hardest unsolved production problem — agents acting as a specific end user, with delegated per-user auth, scoped permissions, and tool-level authorization built in rather than bolted on; the right pick when agents must safely touch user email, calendars, or CRM data. Assumption shaping rank: auth-heavy multi-tenant agents, not general tool breadth."}],"fixes":[{"model":"ChatGPT","fix":"It is not the best value when raw connector breadth matters more than fine-grained governance."},{"model":"Claude","fix":"Much smaller catalog and younger ecosystem than Composio — teams needing raw integration breadth today will hit gaps."}],"updated":"2026-07-17","api":"https://modelsagree.com/api/v1/best/best-tool-use-platforms-for-production-ai-agents.json"},{"slug":"best-mcp-server-platform","title":"Best MCP server platform","rank":11,"of":13,"score":1,"appearances":1,"modelRanks":{"ChatGPT":5},"reason":"Strong for authenticated agent actions, with curated MCP integrations, managed authorization, user-scoped credentials, an SDK for custom tools, and cloud deployment; near-tied with Pipedream for teams prioritizing secure tool execution over catalog breadth.","reasons":[{"model":"ChatGPT","reason":"Strong for authenticated agent actions, with curated MCP integrations, managed authorization, user-scoped credentials, an SDK for custom tools, and cloud deployment; near-tied with Pipedream for teams prioritizing secure tool execution over catalog breadth."}],"fixes":[{"model":"ChatGPT","fix":"Its smaller, more curated ecosystem offers less discovery breadth and fewer ready-made integrations than Pipedream or the general registries."}],"updated":"2026-07-15","api":"https://modelsagree.com/api/v1/best/best-mcp-server-platform.json"}],"page":"https://modelsagree.com/product/arcade","check":"https://modelsagree.com/check?q=Arcade","updated":"2026-08-10T18:18:45.051Z","attribution":"modelsagree.com, CC BY 4.0"}