AI visibility report
Composio ranks #4 in Agent Authentication & Identity for AI AI search.
Outside the top three on 16 of the 25 prompts buyers actually ask.
WorkOS is cited on 10 of those losses.
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Track Composio across these prompts daily.
Start free trial#4 among 13 vendors · still absent from 86.7% of tracked prompt responses
Top-3 citations across 150 prompt × platform pairs
Peer Ranking
Key Metrics
Platform Breakdown
Grok
Google AI Mode
Perplexity
ChatGPT
Bing Copilot
Gemini SearchVisible, but narrative can improve. Composio ranks #4 on presence but #8 on sentiment. The brand appears relatively often, but competitors may be getting more favorable language when they appear.
Where Composio is losing
Prompts where competitors are visible and Composio is not.
These prompt-level losses are the first prompts to track and repair.
Where Composio is winning3
What tools handle both human user auth and AI agent identity under a single platform with granular per-agent permissions?
Avg # 1.0 · 1 platform
Which agent auth platforms have the best developer experience for managing OAuth tokens, refresh flows, and scoped permissions?
Avg # 2.0 · 3 platforms
Looking for an agent auth solution that supports agent-to-agent delegation and MCP server authentication — what should I evaluate?
Avg # 3.0 · 1 platform
Where Composio is losing5
What tools do AI agent developers actually use day-to-day for handling user-delegated authentication across multiple integrations?
Competitors on 4 platforms
Track this promptWhich platforms make it easiest to set up secure auth for MCP servers without building custom OAuth flows from scratch?
Competitors on 3 platforms
Track this promptWhat tools integrate natively with MCP and the major AI agent frameworks for handling auth in agentic workflows?
Competitors on 3 platforms
Track this promptWhat's the quickest way to add OAuth authentication to AI agents that need to access third-party APIs on behalf of users?
Competitors on 3 platforms
Track this promptWhat tools let me add delegated auth to AI agents without requiring each end user to re-authenticate for every tool call?
Competitors on 3 platforms
Track this prompt
Track Composio daily before the next report refresh.
Track these gapsResearch dossierCapabilities, use cases, sources, reviews, pricing, and FAQ
Overview
Composio (legally Sampark Inc.) is an agent-integration and authentication infrastructure platform founded in 2023 by IIT-Bombay graduates Soham Ganatra and Karan Vaidya. The platform gives AI agents access to 1,000+ production-ready toolkits—covering productivity, CRM, engineering, communications, and more—while handling OAuth flows, token refresh, permission scoping, and sandboxed execution environments entirely on behalf of developers. Its Python and TypeScript SDKs integrate with major AI frameworks including OpenAI Agents SDK, Anthropic, LangChain, LangGraph, LlamaIndex, CrewAI, and Google Gemini. A reinforcement-learning layer continuously improves tool-call accuracy from real-world usage. Composio has raised $29M, is SOC 2 and ISO 27001:2022 certified, and counts Glean, Zoom, HubSpot, Letta, and agent.ai among its customers.
Composio is an agent-native integration platform that provides AI agents with authenticated, production-ready access to 1,000+ third-party applications through managed OAuth, sandboxed execution, intent-driven tool resolution, and continuously learning tool accuracy—enabling developers to go from chatbot to full general-purpose agent in five lines of code.
Key Facts
- Founded
- 2023
- HQ
- San Francisco, USA
- Founders
- Soham Ganatra, Karan Vaidya
- Employees
- 11-50
- Funding
- $29M
- ARR
- ~$2M
- Customers
- 200+
- Valuation
- ~$120M
- Status
- Private
Target users
Key Capabilities10
- Fully managed OAuth 2.0, API-key, and token-refresh lifecycle for AI agents
- 1,000+ production-ready, LLM-optimized tool integrations (toolkits)
- Intent-aware just-in-time tool resolution to reduce agent context overhead
- Sandboxed remote execution environments with persistent filesystem for multi-step workflows
- Reinforcement-learning accuracy layer trained on real-world tool-call data
- Multi-tenant user/session context management with per-user permission scoping
- Model- and framework-agnostic SDKs (Python, TypeScript) with 12+ provider adapters
- MCP server (Rube) and Universal CLI for non-SDK agent clients
- Real-time triggers for bidirectional app-to-agent event streaming
- Enterprise controls: SOC 2, ISO 27001:2022, RBAC, VPC/on-prem option
Key Use Cases7
- Building AI SDR and sales automation agents that integrate CRM, scheduling, and enrichment tools
- Enabling AI coding assistants (Claude Code, Cursor, Codex) to take actions across development toolchains
- Constructing multi-step autonomous agents for office productivity (email, calendar, documents)
- Delivering white-label agent integrations in B2B SaaS products without building OAuth infrastructure
- Orchestrating agentic workflows across engineering/DevOps stacks (GitHub, Sentry, Linear, Vercel)
- Powering customer-support agents with access to CRM, ticketing, and communication platforms
- Rapid MVP development for AI startups needing production-ready integrations within hours
Composio customer outcomes
$4.2M in enterprise contracts closed; 380 engineering hours saved
By integrating Composio, 11x delivered Outlook, Salesforce, Calendly, and People Data Labs integrations for their AI SDR agents in one week instead of the estimated 400 engineering hours required to build in-house, directly enabling enterprise deal closures.
90% reduction in go-to-market time; ~$20K/month saved in development costs
Composio shipped a custom Ruby SDK in under a week and enabled Assista to get Google Calendar, Gmail, and Drive integrations live in production within three days, accelerating their transition from beta to public launch.
67% faster Salesforce integration; months of engineering effort saved
Zams replaced several months of planned in-house integration development with Composio, reducing Salesforce integration build time by 67% and eliminating ongoing maintenance burden for secondary tools like Google Workspace, Notion, and Slack.
Recent Trend
How AI describes Composio3
Composio: Combines authentication with tool orchestration, offering hundreds of pre-built tool schemas and a large connector catalog, aiming to reduce security and integration overhead for agent-driven workflows.
Which agent auth platforms have the widest coverage of pre-built OAuth connectors for popular SaaS APIs?
Nango and Composio-based platforms emphasize low-overhead, pre-built connectors with managed auth, often adding under ~100 ms to tool calls, which is favorable for latency-sensitive scenarios.
Which agent auth platforms add the least latency overhead to tool calls when agents need to authenticate in real time?
Short answer: For best developer experience managing OAuth tokens, refresh flows, and scoped permissions, platforms with strong DX include Composio, WorkOS, Logto, Nango, and Stytch.
Which agent auth platforms have the best developer experience for managing OAuth tokens, refresh flows, and scoped permissions?
Most cited sources8
23Best AI agent integration platforms (2026): comparison for developers | Composio
composio.dev·Documentation
- 18
AI agent authentication platforms: buyer's guide and comparison (2026) | Composio
composio.dev·Documentation
- 4
7 best Nango alternatives for AI agents and API integrations (2026) | Composio
composio.dev·Documentation
- 2
The 2026 Guide to AI Agent Builders (And Why They All Need an Action Layer) | Composio
composio.dev·Documentation
- 2
AI Agent Integration Platforms (2026): iPaaS vs Agent-Native for Engineers
composio.dev·Article
- 1
Building Your GTM AI Stack: A Developer's Guide to 10 High-Value Sales & Marketing Workflows (2026) | Composio
composio.dev·Documentation
Alternatives in Agent Authentication & Identity for AI6
Composio positions itself as the agent-native integration and authentication infrastructure layer for AI builders, differentiating from general-purpose iPaaS platforms (Zapier, Workato) and bare OAuth libraries through three pillars: (1) intent-aware tool resolution that feeds agents only the right tools at the right moment, (2) fully managed OAuth and token-lifecycle handling purpose-built for multi-tenant agentic applications, and (3) a reinforcement-learning layer that improves tool-call accuracy over time from real agent usage at scale.
- Its 1,000+ production-ready toolkits, SOC 2 and ISO 27001:2022 certifications, and framework-agnostic SDKs (Python and TypeScript) target teams that want to skip integration plumbing entirely rather than build or stitch together auth, sandbox, and connector layers themselves.
Reviews
Praised
- Breadth and depth of pre-built integrations
- Fully managed OAuth and auth lifecycle
- Fast time-to-integration (often under one hour)
- Highly responsive engineering and customer support
- Framework and model agnosticism
- Generous free tier for prototyping
- Reliability and accuracy of tool calls at scale
- Clear documentation for standard use cases
Criticized
- Steep learning curve for advanced or edge-case configurations
- Some niche API actions missing at launch
- Advanced feature documentation could be more detailed
- Per-call overage costs can accumulate at high scale
- Small team size may concern larger enterprises
User sentiment across G2, Capterra, AWS Marketplace, and Product Hunt is strongly positive. Developers consistently praise the breadth of integrations, the quality of managed authentication, fast time-to-integration (often under an hour for basic connectors), responsive engineering support, and framework compatibility. Common criticisms center on a steeper learning curve for advanced configurations, occasional gaps in niche API actions (though typically resolved quickly by the team), and higher cost at scale. Enterprise users highlight SOC 2 compliance and multi-tenant reliability as key adoption drivers.
Pricing
Usage-based pricing with three self-serve tiers: Free ($0/month, 20K tool calls/month, community support); Ridiculously Cheap ($29/month, 200K tool calls/month, $0.299 per 1K additional calls, email support); Serious Business ($229/month, 2M tool calls/month, $0.249 per 1K additional calls, Slack support for 1K+ calls/month). Enterprise tier offers custom user accounts, dedicated SLA, SOC 2 compliance, custom API volume, and VPC/on-premises options at a negotiated price.
Limitations
- Advanced edge-case configurations require meaningful upfront setup effort and lack the same documentation depth as basic integrations, per multiple user reviews.
- Some specific API actions or niche tool features are occasionally absent at launch, though the team has been noted to add requested actions quickly.
- Higher-scale usage on paid plans carries per-call overage costs that can add up for high-volume production workloads.
- The platform is relatively early-stage (founded 2023) with a small team (~18 employees), which may raise concerns for enterprises requiring guaranteed SLAs beyond what the standard paid tiers offer.
Frequently asked questions
Topic coverageCoverage by buyer topic
Topic Coverage
Prompt-Level Results
| Prompt | Gemini Search | Perplexity | ChatGPT | Bing Copilot | Google AI Mode | Grok |
|---|---|---|---|---|---|---|
Capability2/5 cited (40%) | ||||||
What tools let me enforce fine-grained, intent-based access policies for AI agents accessing enterprise systems? | ||||||
Which non-human identity platforms can govern AI agents alongside service accounts, API keys, and machine identities? | ||||||
Looking for an agent auth solution that supports agent-to-agent delegation and MCP server authentication — what should I evaluate? | ||||||
What tools handle both human user auth and AI agent identity under a single platform with granular per-agent permissions? | ||||||
Which platforms support ephemeral, task-scoped credentials for AI agents instead of static API keys? | ||||||
Developer Experience3/5 cited (60%) | ||||||
What tools do AI agent developers actually use day-to-day for handling user-delegated authentication across multiple integrations? | ||||||
I'm an ML engineer building agents — which auth platforms let me focus on agent logic instead of wrestling with OAuth plumbing? | ||||||
Which platforms offer the smoothest workflow for testing and debugging agent auth flows during development? | ||||||
Which agent auth platforms have the best developer experience for managing OAuth tokens, refresh flows, and scoped permissions? | ||||||
What agent identity tools have the best docs and SDKs for a small team building their first production AI agent? | ||||||
Integrations & Ecosystem4/5 cited (80%) | ||||||
What tools integrate natively with MCP and the major AI agent frameworks for handling auth in agentic workflows? | ||||||
I'm evaluating agent auth tools for a multi-cloud setup — which ones support cross-environment policy enforcement and audit trails? | ||||||
Looking for agent identity infrastructure that plugs into our existing identity provider — which platforms support federation? | ||||||
Which agent auth platforms have the widest coverage of pre-built OAuth connectors for popular SaaS APIs? | ||||||
Which platforms let AI agents securely access both cloud SaaS tools and on-prem internal systems through one auth layer? | ||||||
Performance & Reliability1/5 cited (20%) | ||||||
Which platforms handle automatic token refresh and rotation reliably enough for production AI agent workloads? | ||||||
Which agent auth platforms add the least latency overhead to tool calls when agents need to authenticate in real time? | ||||||
What auth infrastructure holds up when thousands of AI agents are making concurrent authenticated API calls? | ||||||
What are the most battle-tested platforms for securing AI agents in regulated industries like fintech or healthcare? | ||||||
I need agent auth that works at the edge with sub-100ms enforcement — which platforms support distributed authorization? | ||||||
Setup & First Run2/5 cited (40%) | ||||||
I'm building an AI agent that needs to connect to a dozen SaaS tools securely — what auth infrastructure should I start with? | ||||||
Which platforms make it easiest to set up secure auth for MCP servers without building custom OAuth flows from scratch? | ||||||
What's the quickest way to add OAuth authentication to AI agents that need to access third-party APIs on behalf of users? | ||||||
What tools let me add delegated auth to AI agents without requiring each end user to re-authenticate for every tool call? | ||||||
Looking for a drop-in SDK to handle agent-to-API authentication in a TypeScript codebase — what are my options? | ||||||
Turn this matrix into daily prompt monitoring.
Track prompt changesVertical Ranking
| # | Brand | PresencePres. | Share of VoiceSoV | DocsDocs | BlogBlog | MentionsMent. | Avg PosPos | Sentiment |
|---|---|---|---|---|---|---|---|---|
| 1 | Auth0 | 19.3% | 15.8% | 2.7% | 8.7% | 14.0% | #13.3 | +0.42 |
| 2 | WorkOS | 17.3% | 17.2% | 0.0% | 17.3% | 16.0% | #13.6 | +0.44 |
| 3 | Stytch | 16.0% | 16.5% | 3.3% | 14.7% | 14.0% | #12.4 | +0.44 |
| 4 | Composio | 13.3% | 15.8% | 1.3% | 0.0% | 10.0% | #17.6 | +0.34 |
| 5 | Nango | 10.0% | 15.8% | 0.0% | 9.3% | 8.7% | #11.1 | +0.44 |
| 6 | Arcade.dev | 8.7% | 7.4% | 0.0% | 8.0% | 6.0% | #20.9 | +0.39 |
| 7 | Merge | 7.3% | 4.7% | 0.7% | 6.7% | 5.3% | #8.6 | +0.30 |
| 8 | Descope | 7.3% | 6.4% | 0.7% | 5.3% | 6.0% | #11.2 | +0.44 |
| 9 | Better Auth | 0.7% | 0.3% | 0.7% | 0.0% | 0.7% | #7.0 | +0.90 |
| 10 | Astrix Security | 0.0% | 0.0% | 0.0% | 0.0% | 0.0% | — | — |
| 11 | Keycard.ai | 0.0% | 0.0% | 0.0% | 0.0% | 0.0% | — | — |
| 12 | Oasis Security | 0.0% | 0.0% | 0.0% | 0.0% | 0.0% | — | — |
| 13 | Operant AI | 0.0% | 0.0% | 0.0% | 0.0% | 0.0% | — | — |
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