What engineering teams look for in API integration platforms
Blog post from Nango
Engineering teams evaluating customer-facing API integration platforms in 2026 focused primarily on retaining control over integration logic, verifying meaningful per-provider catalog coverage, handling authentication lifecycles reliably, and ensuring webhook, sync, rate-limit, and backfill resilience at scale. Other major considerations included connection-level observability, deployment flexibility and data residency, security protections for customer credentials, pricing that remains predictable as usage grows, support for AI agents as both integration users and development tools, and practical options for migrating away from a vendor. The text argues that broad claims such as unified schemas, visual workflow builders, and large API catalogs can obscure gaps in custom fields, provider-specific behavior, debugging, and long-term maintenance. It recommends a one-to-two-week proof of concept using the most difficult planned integration, deliberately testing failures such as revoked tokens and missing webhooks, beginning security procurement early, and projecting costs at ten times expected usage. It presents Nango as a developer-oriented platform intended to address these criteria through editable TypeScript integrations, managed authentication, observability, self-hosting or bring-your-own-cloud options, security controls, AI-compatible tools, and portable open-source code.
| Trend | Post Mentions | Total Month Mentions | Posts | Companies | MoM |
|---|---|---|---|---|---|
| AI Agents | 6 | 5,780 | 1,243 | 245 | -15% |
| Observability | 6 | 3,175 | 737 | 186 | -24% |
| MCP | 5 | 8,729 | 854 | 211 | -20% |
| OpenTelemetry | 2 | 757 | 153 | 55 | -30% |
| Vector Search | 1 | 2,358 | 371 | 127 | +5% |
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