Quote: The Shift to API as a Product

On The Platform Journey Podcast, API product strategist Deepa Narayanan argued, “Treating APIs as products means continual investment in usability, reliability, and business alignment—not just building and shipping endpoints.” She emphasized the need for cross-functional teams and highlighted success metrics like time-to-first-call and retention of third-party developers.

- The shift to treating APIs as products is accelerating, with 82% of organizations reporting some level of an API-first approach. Companies that are fully API-first are significantly more likely to generate substantial revenue from their APIs, with 43% attributing more than a quarter of their total revenue to them. - For platform teams, this product mindset necessitates a structure that includes roles like an API Product Manager, who owns the roadmap, and a Developer Relations (DevRel) team to engage the developer community and gather feedback. This contrasts with a project-based approach which focuses on tactical execution rather than the entire product lifecycle and long-term value. - Key business and adoption metrics for API products include not just direct revenue but also indirect revenue from partner integrations, API usage growth, and the churn rate of developers. Technical success is often measured by performance indicators like latency, error rates, and overall uptime. - To scale this model, organizations are moving from centralized API teams to federated structures where domain teams have more ownership, supported by a central platform that provides standardized tools and governance. Analyst firm Forrester advocates for a model with three pillars: a comprehensive tech platform, a federated operating model, and business-outcome-focused leadership. - AI and LLMs are being integrated into the API lifecycle to automate and improve documentation, which is often a major pain point for developers. These models can generate endpoint descriptions, create code examples, and keep documentation synchronized with code changes through CI/CD pipelines. - Machine learning is also being applied to API management for intelligent security and operations, enabling real-time anomaly detection in traffic patterns to identify threats and predictive analytics to forecast usage spikes. This helps teams proactively manage performance and security rather than reacting to incidents. - Despite the rise of AI, Postman's 2025 "State of the API" report found that while 89% of developers use AI tools, only 24% are actively designing their APIs with AI agents as the primary consumer. This indicates a significant gap between the consumption of AI and the production of AI-ready APIs. - From an investment perspective, companies with strong API-as-a-Product strategies, such as Stripe and Twilio, have demonstrated the high-growth potential of this model by building billion-dollar businesses centered around their API offerings.

Get your own daily briefing

Scout delivers personalized news, insights, and conversations tailored to your role and industry.

Download on the App Store

Shared from Scout - Be the smartest in the room.