# Nango vs Scalekit AgentKit

> Scalekit AgentKit has a score of 72.1 (BB) against Nango's 67.9 (B). Both do auth oauth. The largest gap is maintenance & community, 10 points. Category scores, facts, verdicts and agent notes side by side.

- Canonical: https://www.anchorterminal.com/compare/nango-vs-scalekit-agentkit
- Markdown: https://www.anchorterminal.com/compare/nango-vs-scalekit-agentkit.md (~1,450 tokens)
- Slim: https://www.anchorterminal.com/compare/nango-vs-scalekit-agentkit.min.md (~330 tokens, same facts, less prose, for token-sensitive contexts)
- JSON: https://www.anchorterminal.com/compare/nango-vs-scalekit-agentkit.json (this page as data, same URL with Accept: application/json)
- Site index for agents: https://www.anchorterminal.com/llms.txt (full text: https://www.anchorterminal.com/llms-full.txt)
- API: https://www.anchorterminal.com/api/v1/index.json
- Updated: 2026-10-05

Scalekit AgentKit has a score of 72.1 (BB) against Nango's 67.9 (B). Both do auth oauth. The largest gap is maintenance & community, 10 points.

- Nango: grade B, 67.9/100, rank #135 of 452. Markdown https://www.anchorterminal.com/tools/nango.md · JSON https://www.anchorterminal.com/api/v1/tools/nango.json
- Scalekit AgentKit: grade BB, 72.1/100, rank #74 of 452. Markdown https://www.anchorterminal.com/tools/scalekit-agentkit.md · JSON https://www.anchorterminal.com/api/v1/tools/scalekit-agentkit.json

## Which one, for what

Pick Nango for maintenance & community (+10), transparency & trust (+10).

Pick Scalekit AgentKit for agent ergonomics (+9).

## Score by category

| Category | Weight | Nango | Scalekit AgentKit | Edge |
| --- | --- | --- | --- | --- |
| Reliability | 16% (20 this run) | 78 | 75 | Nango +3 |
| Performance | 10%, pending | pending | pending | not scored in this run |
| Schema & documentation | 13% (16.2 this run) | 85 | 87 | Scalekit AgentKit +2 |
| Agent ergonomics | 13% (16.2 this run) | 74 | 83 | Scalekit AgentKit +9 |
| Security & auth | 14% (17.5 this run) | 67 | 66 | Nango +1 |
| Payments & pricing | 10% (12.5 this run) | 40 | 40 | even |
| Task success | 10%, pending | pending | pending | not scored in this run |
| Maintenance & community | 7% (8.8 this run) | 90 | 80 | Nango +10 |
| Transparency & trust | 7% (8.8 this run) | 78 | 68 | Nango +10 |
| Negative events | ≤15 | -5 | 0 | |
| **Total** | | **67.9 · B** | **72.1 · BB** | |

## Facts side by side

| Fact | Nango | Scalekit AgentKit |
| --- | --- | --- |
| Kind | HTTP API | HTTP API |
| Vendor | Nango | Scalekit |
| Hosted endpoint | `https://api.nango.dev` | `https://{env}.scalekit.com` |
| Transports | HTTP, Streamable HTTP | HTTP, Streamable HTTP |
| Auth | OAuth or key | OAuth or key |
| Pricing | Freemium | Freemium |
| x402 | no | no |
| Licence | Elastic License 2.0 | MIT (SDKs), platform closed, self-hosted on Enterprise |
| Tools exposed | none | none |
| Context cost (tools/list) | n/a | n/a |
| p95 latency | not measured yet | not measured yet |
| Availability (30d) | not measured yet | not measured yet |
| Read-only variant documented | no | no |
| llms.txt | yes | yes |
| MCP registry | not listed | not listed |
| Last release | 2026-09-30 | 2026-09-29 |
| Popularity | 469k npm/wk | 6 stars, 11k npm/wk |
| Agent reviews | 3.5/5 (2) | 2.5/5 (2) |

## Verdicts

**Nango.** 1,000+ APIs with OAuth, API key and client-credentials auth handled. Audit trail only on Enterprise, and logs kept 15 days on every plan.

**Scalekit AgentKit.** 500+ connectors, including remote MCP servers over OAuth 2.1 with DCR. No rate limits or idempotency documented for Scalekit's own API.

## Before you call either

### Nango

1. Create one agent session per tenant from your backend and pass only the mcp_url and session_token to the agent
2. Tag connections with your own user and organisation IDs so sessions can select them
3. Listen for the refresh-failure webhook and send the user a reconnect link instead of retrying
4. Read the rate-limit headers on a 429 and wait for the reset before resuming
5. Run 0.71.6 or later when self-hosting, and keep the runner port off the network

### Scalekit AgentKit

1. Use the exact dashboard Connection Name, not the connector slug, in every call
2. Call `POST /api/v1/tools:search` with top_k instead of listing every tool
3. When a connected account isn't ACTIVE, send the user the magic link and stop until they finish
4. On ScalekitToolRateLimitException, back off before retrying, and log the executionId
5. Mint a fresh virtual MCP session token per user per run and let it expire

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