AI visibility report
Nango ranks #5 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 9 of those losses.
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Track Nango across these prompts daily.
Start free trial#5 among 13 vendors · still absent from 90% of tracked prompt responses
Top-3 citations across 150 prompt × platform pairs
Peer Ranking
Key Metrics
Platform Breakdown
Grok
ChatGPT
Google AI Mode
Gemini Search
Perplexity
Bing CopilotHow to read this. Nango appears in 10% of tracked prompt responses and ranks #5 among 13 vendors. Presence is absolute coverage; share of voice is relative citation share; sentiment measures tone only when the brand appears.
Where Nango is losing
Prompts where competitors are visible and Nango is not.
These prompt-level losses are the first prompts to track and repair.
Where Nango is winning5
I'm an ML engineer building agents — which auth platforms let me focus on agent logic instead of wrestling with OAuth plumbing?
Avg # 1.0 · 1 platform
Looking for a drop-in SDK to handle agent-to-API authentication in a TypeScript codebase — what are my options?
Avg # 1.0 · 1 platform
I'm evaluating agent auth tools for a multi-cloud setup — which ones support cross-environment policy enforcement and audit trails?
Avg # 2.0 · 1 platform
Which agent auth platforms have the widest coverage of pre-built OAuth connectors for popular SaaS APIs?
Avg # 2.0 · 2 platforms
Which agent auth platforms add the least latency overhead to tool calls when agents need to authenticate in real time?
Avg # 7.0 · 3 platforms
Where Nango 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 Nango daily before the next report refresh.
Track these gapsResearch dossierCapabilities, use cases, sources, reviews, pricing, and FAQ
Overview
Nango is an open-source platform that enables engineering teams to build, run, and maintain product integrations and AI agent tool calls across 700+ APIs. Founded in 2022 by Robin Guldener and Bastien Beurier and backed by Y Combinator (W23), the San Francisco-based company provides three core primitives: managed API authentication (OAuth, API keys, token refresh), an authenticated proxy for making API requests on behalf of end users, and a TypeScript function runtime where integration logic is written as code and deployed to Nango's production infrastructure. The platform handles retries, rate limiting, webhook processing, multi-tenant isolation, and observability. It is used in production by companies including Replit, Ramp, and Mercor and processes billions of API requests per month. Nango is SOC 2 Type II, HIPAA, and GDPR compliant.
Nango is a code-first, open-source integration platform that lets developers connect their products and AI agents to 700+ external APIs. It abstracts API authentication, credential management, data syncing, webhook handling, and agent tool calling into a unified infrastructure layer, allowing engineering teams to write TypeScript integration functions locally (or generate them with AI), deploy to Nango's production runtime, and manage everything through a CLI and dashboard.
Key Facts
- Founded
- 2022
- HQ
- San Francisco, US
- Founders
- Robin Guldener, Bastien Beurier
- Employees
- 6-15
- Funding
- ~$9.5M
- ARR
- several million (self-reported, March 20
- Customers
- 10,000+ engineering teams (self-reported
- Status
- Private
Target users
Key Capabilities10
- Managed OAuth, API key, and token-refresh auth for 700+ APIs
- Authenticated proxy with automatic credential injection, retries, and rate-limit handling
- TypeScript integration functions (Syncs and Actions) with AI-assisted generation via CLI
- Two-way data syncing with incremental-change detection for RAG pipelines and indexing
- AI agent LLM tool calling and built-in MCP server support
- Webhook ingestion and processing from external APIs
- Multi-tenant per-customer connection isolation and configuration
- Unified API normalization with custom data models
- Real-time observability with logs, metrics, alerts, and OpenTelemetry export
- White-label Connect UI for embedding end-user auth flows
Key Use Cases7
- Shipping customer-facing product integrations without building auth and sync infrastructure from scratch
- Providing AI agents and LLMs with authenticated tool calls to external APIs
- Building RAG pipelines that continuously sync data from SaaS sources
- Processing and reacting to webhooks from third-party APIs
- Creating unified API abstractions across categories (CRM, HR, ticketing, etc.)
- Managing multi-tenant OAuth credentials securely on behalf of SaaS end users
- Enabling AI coding agents to generate and deploy integration functions via CLI
Nango customer outcomes
60+ integrations shipped in weeks
Motion used Nango to go from zero to 60+ integrations in a matter of weeks, with the platform syncing tens of millions of jobs per month without infrastructure issues.
30+ integrations launched
Replit launched connection triggers across 30+ integrations on Nango and scaled rapidly without reliability issues.
100+ users on new Jira integration
Semgrep rebuilt its Jira integration using Nango, replacing a rigid third-party provider. Over 100 users adopted the new integration, and the engineering team reduced maintenance overhead by offloading auth and credential management to Nango.
Vapi, a voice AI platform, relies on Nango for integrations that run inline during live calls where reliability and sub-100ms latency are critical requirements.
Recent Trend
How AI describes Nango3
Nango: API-auth infrastructure that emphasizes token storage, refresh, and proxying, plus data sync and webhooks; strong for teams needing centralized auth orchestration across numerous SaaS integrations.
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
9A complete guide to securing AI agent API authentications (2026) | Nango Blog
nango.dev·Blog Post
- G9
GitHub - NangoHQ/nango: Build product integrations with AI. · GitHub
github.com·Documentation
- 8
Best AI Agent Authentication Platforms to Consider in 2026 | Nango Blog
nango.dev·Blog Post
- 8
Auth guide - Nango Docs
nango.dev·Documentation
- G8
GitHub - NangoHQ/nango: Build product integrations with AI. · GitHub
github.com·Documentation
- 6
Best AI agent integration platforms to consider in 2026 | Nango Blog
nango.dev·Blog Post
Alternatives in Agent Authentication & Identity for AI6
Nango positions itself as developer-first infrastructure for product integrations and AI agent tool calling—distinctly code-first and open-source, in contrast to visual/no-code iPaaS competitors.
- Its core differentiator is combining managed OAuth/auth for 700+ APIs with a TypeScript-function runtime and AI-assisted integration generation, targeting engineering teams that want full control, observability, and git-based deployment workflows rather than drag-and-drop builders.
Reviews
Praised
- Breadth of pre-built API connectors (700+)
- Ease of OAuth and auth setup
- Responsive Slack-based customer support
- Proactive founder engagement and goodwill gestures
- Time savings vs. building integrations from scratch
- Open-source flexibility and extensibility
- Code-first workflow fits developer preferences
- Strong proxy and credential management
Criticized
- Documentation gaps, not beginner-friendly
- Complex multi-variable pricing hard to forecast
- Steep learning curve for advanced features
- Still requires dedicated developers to manage
- Expert API support gated to Enterprise plan
- Free plan too limited for real integration use cases
- Occasional integration issues with specific APIs
On G2, Nango holds a 4.5/5 rating across 51 verified reviews (as of early 2026). Reviewers consistently highlight the breadth of pre-built API connectors, the quality of the authentication and proxy infrastructure, and the responsiveness of the support team (including direct Slack access and founders proactively reaching out). Critical feedback centers on documentation gaps for beginners, a steeper learning curve for advanced configuration, and pricing complexity across multiple usage variables that makes cost projection difficult. Some reviewers note that managing Nango still requires dedicated developer time despite the platform's promise of reducing integration overhead.
Pricing
Nango offers four tiers. Free ($0/month): 10 connections, 100k proxy requests, 10 hours function compute, 100k sync records—auth functionality only, no direct integration access. Starter (from $50/month): 20 included connections then $1/connection/month, 200k proxy requests then $0.0001/request, 20 hours compute, 200k records. Growth (from $500/month): 100 included connections, 1M proxy requests, 100 hours compute, 1M records; adds SOC 2, priority Slack support, branding customization, RBAC, logs export. Enterprise (custom): unlimited environments, 2-day API addition SLA, SAML SSO, HIPAA BAA add-on, self-hosting support, and dedicated SLAs. All paid plans include usage-based overages on each resource dimension.
Limitations
- Pricing is usage-based across multiple variables (connections, proxy requests, function compute time, sync records, webhooks) making cost forecasting difficult, especially for syncs where data volume is hard to predict in advance.
- Expert API support is gated to the Enterprise plan.
- Documentation has been cited by multiple G2 reviewers as confusing or not beginner-friendly, with concepts such as environments and OAuth scopes requiring a learning curve.
- Non-technical team members cannot configure or manage integrations without developer involvement.
- The free plan provides only auth functionality with no direct access to integrations.
- Self-hosting with support requires an Enterprise contract.
Frequently asked questions
Topic coverageCoverage by buyer topic
Topic Coverage
Prompt-Level Results
| Prompt | Gemini Search | Perplexity | ChatGPT | Bing Copilot | Google AI Mode | Grok |
|---|---|---|---|---|---|---|
Capability0/5 cited (0%) | ||||||
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 & Ecosystem2/5 cited (40%) | ||||||
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 & Reliability2/5 cited (40%) | ||||||
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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