10 Nango Alternatives for AI Agents in 2026
Why teams look past Nango in 2026, and how Composio, Arcade, Pipedream, Paragon, the main iPaaS platforms, Zapier MCP, and Swytchcode differ. Prices checked October 2026.
Key takeaways
- -People leave Nango when they want a hosted catalog, per-user OAuth as the product, or a governed call without writing a TypeScript function.
- -Composio, Arcade, and Pipedream are the closest substitutes. They are not ranked.
- -Nango is the right pick when the integration code has to live in your repo.
- -Swytchcode governs each production API call. It does not replace Nango's syncs or code-owned integrations.
- -Prices below are from each vendor's public site in October 2026.
- -Swytchcode is one execution kernel between your agents and 75,000+ endpoints: brokered OAuth, policy-as-code, human approval, retries without duplicate writes, and a local audit trail, on infrastructure you own.
Nango is a code-first integration layer: embedded OAuth, syncs, and tools you write as TypeScript functions, then expose through an API or MCP. Teams look for an alternative when that work is not the job. They need a hosted catalog, an OAuth prompt for each end user, an estate they already run, or one API call that survives a bad spec and a retry.
The ten options below are grouped by that job. They are not a ranked scoreboard. Composio, Arcade, and Pipedream are the closest substitutes for a team that does not want to own the function. Workato, MuleSoft, Informatica, and Boomi govern an integration estate. Zapier MCP is personal automation. Swytchcode executes the API call.
Why teams look for a Nango alternative
Nango is a practical way to keep integration code in review, next to customer OAuth and syncs. The public comparisons Nango publishes in 2026 are written from the other direction: why a team would leave Composio, Arcade, or Pipedream for Nango. Reading those posts backwards shows the gaps that send people the other way.
You have to write the tool
Nango's Composio comparison says Composio's tools are used as shipped, and that Nango's tools are functions you deploy. The cost of that control is time. A team that needs Gmail send this week, and does not need a reviewer on the function, will pick a hosted catalog. Source: Nango, Composio vs Nango.
Authorization is something you build into the function
Arcade's product is the OAuth prompt: a missing permission starts the grant. Nango manages OAuth, and the action logic still lives in your TypeScript. Teams that want authorization as a platform primitive, rather than as code they maintain, are the ones comparing Arcade.
Syncs and functions do not check a drifted spec
A correct OAuth token can still call a stale field, accept a 200 that carries an error, or retry a write into a second charge. That failure mode is described in Why your AI agent breaks in production. Owning the function means you can add those checks. It does not mean they are already there.
How to evaluate a Nango alternative
Use these criteria to compare any Nango alternative, including the ones below. Each row is something you can check in the vendor's docs or a trial before you commit.
| Criterion | What to verify |
|---|---|
| Identity and auth | Whose credentials each call runs with: one shared account or each end user's own OAuth grant. Where tokens are stored, and whether the model ever sees them. |
| Catalog coverage | Whether the APIs your agent needs are covered today, and how you add an internal or legacy API that is missing. |
| Write safety | Whether retries are automatic, and whether a retried POST can create a duplicate record or a second charge. |
| Policy and approval | Whether you can allowlist actions, block calls by argument, and hold risky calls for a person, and on which plan. |
| Error handling | Whether failures come back in one consistent shape the agent can act on, including whether an error is safe to retry. |
| Audit | What is logged for each call, where the log lives, and how long it is kept. |
| Hosting | Vendor cloud, your own cloud, or self-hosted, and whether request traffic passes through the vendor. |
| Pricing model | What is metered (tool calls, tasks, credits, or connected users) and what happens when you reach the limit. |
How the ten alternatives compare
Prices are what each vendor published on its own site in October 2026, or not published when the pricing page has no list price. This article does not repeat a Nango dollar figure that was not rechecked on nango.dev/pricing in October 2026.
| Alternative | Closest job | How the agent reaches it | Public starting price |
|---|---|---|---|
| Composio | Hosted tool catalog | One MCP URL | Free 100K tool calls/mo; Pro $29/mo |
| Arcade | Per-user tool calls | Python and JavaScript SDKs, MCP | Free, 2,000 tool calls/mo |
| Pipedream | Broad SaaS catalog | Remote MCP, SDK, or proxy | Free to build; Startup $99/mo annual |
| Paragon | Embedded in your product | ActionKit API or MCP | Not published on the pages reviewed |
| Zapier MCP | A person's own apps | MCP against a Zapier account | Uses the customer's Zapier plan |
| Workato | Enterprise workflows | Recipes, agents, MCP | Enterprise by quote; self-service Pro from $75/mo |
| MuleSoft | API-led connectivity | APIs you design, Agentforce, MCP | 30-day trial; plans from $2,000/mo, billed annually |
| Informatica | Governed enterprise data | APIs and data services you publish | Quote only |
| Boomi | Hybrid integration and agent control | Boomi Connect and your processes | 30-day trial; pay-as-you-go $99/mo plus usage |
| Swytchcode | Governed execution of each API call | CLI, MCP, or Runtime SDKs | Free, 10,000 live commands/mo |
1. Composio
Best for: Internal agents that need a large hosted tool catalog with managed per-user OAuth behind one MCP URL.
Composio is a hosted catalog of prebuilt tools and managed OAuth behind one MCP URL. Nango's 2026 comparison describes the tools as used as shipped, with custom tool calls not deployed onto Composio's runtime. That is a fit for an internal agent that needs many SaaS actions today. It is a poor fit when a reviewer has to read the integration code. The longer treatment is 10 Composio alternatives.
2. Arcade
Best for: User-facing agents that must act with each person's own OAuth grant, with authorization as the core of the product.
Arcade is the closest product when the agent must act as a specific person. The docs page updated 9 September 2026 cites 7,500+ tools across 81 MCP servers. arcade.dev/llms.txt still says 7,000+ integrations, so quote the dated docs figure and check both. If a permission is missing, Arcade runs OAuth. Its llms.txt describes parallelized execution, automatic failover, and intelligent retries. Idempotency on writes and response-schema checks are not described there. Free is 2,000 tool calls and 2,000 auth events a month. Team is $25 a month plus $0.10 per auth event and $0.01 per tool call. See Swytchcode vs Arcade.
3. Pipedream
Best for: Products whose agents act for many end users across a broad app catalog, with a free development mode.
Pipedream's homepage, checked October 2026, calls itself the integration layer for AI agents: 10,000+ tools, 3,000+ APIs, and a remote MCP server. Connect stores each external user's credentials. If no prebuilt tool exists, the Connect proxy sends the HTTP you specify and attaches that user's token. The proxy does not choose the version or the field combination. Free covers development. Production users require Startup: $99 a month billed annually, or $150 billed monthly, then $2 per extra external user and $0.012 per extra credit. A credit is one action, MCP call, proxy request, or trigger event per 30 seconds of compute. See Swytchcode vs Pipedream.
4. Paragon
Best for: SaaS products that embed integrations for their customers behind a white-labeled Connect Portal.
Paragon is embedded integration infrastructure for a B2B product. ActionKit exposes prebuilt tools over API or MCP. The MCP page says that surface covers 1,000+ integration tools. The Connect Portal can be embedded or run headless. A public monthly list price was not on the pages reviewed in October 2026. Docs: docs.useparagon.com/llms.txt.
5. Zapier MCP
Best for: Internal agents and prototypes that need quick access to Zapier's large app catalog.
Zapier MCP connects an agent to the apps already on a person's Zapier account. It fits someone automating their own work. It does not embed OAuth for every customer of your product, and it does not correct a legacy API the catalog has never described.
6. Workato
Best for: Enterprises that already run company-wide workflows and want agents governed on the same platform.
Workato is an enterprise iPaaS. The homepage describes one platform to build, run, and govern agents, models, MCPs, and workflows, and connectivity across 17,000+ apps, APIs, databases, files, and MCP servers. Enterprise pricing is a quote; self-service Pro is documented from $75 a month for 2,500 credits. Workato states it is a Leader in the 2026 Gartner Magic Quadrant for iPaaS. See Swytchcode vs Workato.
7. MuleSoft
Best for: API-led connectivity programs building reusable APIs across cloud and on-premises, especially in Salesforce estates.
MuleSoft Anypoint designs and governs APIs on CloudHub, Runtime Fabric, or on-premises. The platform FAQ cites more than 1,500 connectors and a 30-day trial with no card. The same pages document Dev Agent, MCP, and Agentforce. Published plans start from $2,000 a month, billed annually. See Swytchcode vs MuleSoft.
8. Informatica
Best for: Agents that fail because enterprise data is stale, duplicated, or ungoverned.
Informatica, now part of Salesforce, sells IDMC, which covers application integration, an API center, data quality, MDM, and governance. Its agent-engineering guide cites over 300 prebuilt connectors and argues that production agents fail on stale data. Public list prices were not on the product pages reviewed in October 2026. See Swytchcode vs Informatica.
9. Boomi
Best for: Enterprises that want one platform to connect systems and govern agent and MCP access.
Boomi's homepage leads with enterprise AI infrastructure: connect systems, govern agent actions, and control cost. Boomi Connect is the MCP governance surface. There is a 30-day trial. Pay-as-you-go is $99 a month plus usage. The company states it is a 12-time Gartner iPaaS Leader. See Swytchcode vs Boomi.
10. Swytchcode
Best for: Production agents that write to real APIs, including legacy and internal ones, and need policy, approval, safe retries, and an audit trail on every call.
Swytchcode is last because its focus is the execution layer under the agent, not catalog size. It does have a catalog: 360+ integrations, plus your own OpenAPI specs, with managed OAuth and connected end users on every plan. The agent still decides. Swytchcode resolves the method, validates the input, applies allow and deny rules, injects auth, retries transient failures, and normalizes the response. POST and PATCH are retried only with an idempotency key, so a retried write does not create a second record. That matters when the vendor spec has drifted. The short version is What is an execution layer?. Retries and idempotency are in How Swytchcode retries failed API calls and Idempotency explained.
Developer is free for 10,000 live commands a month. Pro is $29 a month or $290 a year. Business is $149 a month or $1,490 a year. It runs as a CLI or MCP server. Setup is in How to connect the Swytchcode MCP server.
Why Swytchcode is the production runtime for reliable AI agents
Swytchcode is an execution kernel that sits between your AI agents and the APIs they call. It runs on infrastructure you own, checks policy before every call, brokers OAuth, retries safely without duplicate writes, and logs every call and decision locally. The same kernel serves LangGraph, the OpenAI Agents SDK, the Anthropic SDK, and MCP clients, across 75,000+ endpoints in 300+ services or your own OpenAPI spec, including legacy APIs.
Nango gives you integration code you own. Swytchcode gives every agent call the same governed path to production, without rebuilding middleware for each framework.
Demos work. Production is a different animal.
Frameworks solve reasoning. None of them solve the moment an agent touches a real production API. That moment needs OAuth and credentials, permission control, policy enforcement, audit and compliance, and retries with idempotency. So every team builds the same middleware, then rebuilds it for the next framework.
| Production requirement | Build it yourself | With Swytchcode |
|---|---|---|
| OAuth and credentials | Token storage and refresh per framework | Brokered OAuth; tokens cached locally with AES-256-GCM, key in the OS keychain |
| Permissions and policy | Custom checks inside agent code | tooling.json allowlist plus policies.json rules, version-controlled, checked before every call |
| Human approval | Ad hoc scripts and chat bots | Matching calls held for approval in Slack; no answer in 48 hours means no run (Business and up) |
| Audit and compliance | Logs scattered across services | Every call and decision logged locally; cloud sync is opt-in |
| Retries and idempotency | Hand-written per API | Backoff that honors Retry-After; POST and PATCH retried only with an idempotency key |
| Legacy and internal APIs | A hand-written client per API | Bring your own OpenAPI spec; inputs validated before the call leaves your machine |
| Switching frameworks | Rebuild all of the above | Same kernel, same policy |
One execution kernel. Every agent framework.
- CLI execution kernel: runs on your infrastructure and decides what can run, and whether it should.
- Runtime SDKs: thin JavaScript and Python wrappers, so every framework hits the same kernel.
- Backend control plane: brokers OAuth, hosts the catalog, and aggregates telemetry. It never sees your payloads.
Governance your security team already recognizes
- Credentials never leave your infrastructure. OAuth tokens are cached locally with AES-256-GCM, and the key lives in the OS keychain.
- Policy-as-code. policies.json is version-controlled, so guardrails get reviewed like any other code. Allow and deny rules start on Pro.
- Fail-closed, with a human in the loop. Calls that match an approval policy are held and sent to your workspace's Slack or Telegram channel. If nobody approves within 48 hours, they never run. Approval workflows are on Business and Enterprise.
- Full local audit trail. Every outbound call and policy decision is recorded on your machine for 90 days, with sensitive values redacted. Cloud Sync is off by default and uploads summaries only, never payloads or credentials.
- No proxy hop. Requests go straight from your machine to the provider; Swytchcode does not proxy or store your API traffic.
- Deploy in your own cloud. Enterprise runs in your AWS, Azure, or GCP account, in the region you choose, with company SSO, role-based access, audit export, and an SLA.
- Coverage built in. 75,000+ endpoints across 300+ services, or your own OpenAPI spec for internal and legacy APIs.
Why enterprise teams choose Swytchcode
- It clears security review: execution and credentials stay inside your infrastructure.
- No framework lock-in: swap LangGraph for the OpenAI Agents SDK without rewriting policy.
- Reviewable by default: tooling.json and policies.json ship through normal code review.
Build it yourself and you own auth, retries, policy, and audit for every framework, forever. Swytchcode gives every agent the same governed path to production, so developers ship agents and platform teams keep control.
What ships today and what is next
Human approval ships today on Business and Enterprise: matching calls wait for a yes or no in Slack. Next on the roadmap are more policy stages, covering post-execution and streaming, and a Go runtime SDK built on the same thin-wrapper model. Pricing: Developer is free for 10,000 live commands a month. Pro is $29 a month and adds allow and deny rules. Business is $149 a month and adds approval workflows, team seats, and your own providers. Enterprise is custom and deploys in your own cloud account.
How do you make AI agents reliable in production?
Put one governed execution layer between every agent and every API. It should resolve credentials outside the prompt, enforce policy before the call, require approval for risky actions, retry without duplicate writes, return errors in one consistent shape, and keep an audit log. Swytchcode does this as a single kernel for every framework. Start with the MCP quickstart or read how the execution pipeline works.
Which alternative to pick
| If the requirement is | Start with | Leave it when |
|---|---|---|
| Each user must authorize Gmail, Slack, or Salesforce | Arcade, Pipedream, or Paragon | The published API spec is already wrong |
| The integration code must live in your repo | Nango | You only need a prebuilt SaaS action today |
| One person automating their own apps | Zapier MCP | You are embedding auth in a product |
| Workflows across an estate you already run | Workato, MuleSoft, Informatica, or Boomi | The only gap is one API call |
| The call fails because the spec or the retry is wrong | Swytchcode | You needed a hosted OAuth catalog and nothing else |
Several of these can sit together. A product can keep an OAuth catalog for end-user SaaS actions and use Swytchcode where the vendor API is the part a model should not invent. The index of head-to-head pages is the comparison index.
How we checked these facts
Every price, catalog size, and feature claim in this article was checked against the vendor's own pricing page, documentation, or GitHub repository in October 2026. Where a vendor publishes two different numbers, both are named. Claims that come from a competitor's comparison are labeled with that source. Swytchcode facts come from docs.swytchcode.com and swytchcode.com/pricing.
FAQ
What is the closest alternative to Nango?
Match the job before the catalog size. A hosted per-user tool catalog, code you own, an embedded portal, an iPaaS you already run, and a governed API call are different purchases.
Is Swytchcode a replacement?
For governed execution of agent API calls, yes. Swytchcode has its own catalog of 360+ integrations with managed OAuth, but it does not replace an enterprise integration estate, and some hosted catalogs cover more SaaS apps. Teams that need both can keep the catalog for SaaS actions and route production calls through Swytchcode.
Do these tools publish a skills.md file?
Swytchcode publishes https://www.swytchcode.com/skills.md. Arcade publishes llms.txt. Paragon publishes a docs llms.txt. Nango's agent docs are on nango.dev.
How much does an alternative cost?
Arcade's free tier is 2,000 tool calls a month. Pipedream is free until you serve production users, then $99 a month on annual Startup. Boomi pay-as-you-go is $99 a month plus usage after a 30-day trial. Swytchcode Developer is free for 10,000 live commands a month. MuleSoft plans start from $2,000 a month, billed annually. Workato documents self-service Pro from $75 a month and quotes Enterprise. Informatica quotes. Nango's paid prices are on its pricing page. Confirm the number before you buy.
Swytchcode resources
- Swytchcode website: https://www.swytchcode.com
- Swytchcode docs: https://docs.swytchcode.com
- MCP quickstart: https://docs.swytchcode.com/quickstarts/getting-started/mcp/
- Human approval: https://docs.swytchcode.com/policies/human-approval/
- Pricing: https://www.swytchcode.com/pricing
- What is an execution layer: https://www.swytchcode.com/blogs/what-is-an-execution-layer-why-ai-agents-need-one
- Best MCP servers for enterprise AI agents: https://www.swytchcode.com/content/best-mcp-servers-for-enterprise-ai-agents-2026
- Pipedream alternatives: https://www.swytchcode.com/content/pipedream-alternatives-in-2026
- Swytchcode vs Nango: https://www.swytchcode.com/compare/swytchcode-vs-nango
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