Shaped

Shaped is a developer-focused platform that supplies rAnking and recommendation models through an API, intended to help teams power Personalized search, feeds, and content discovery without building machine learning infrastructure from scratch. Rather than a consumer-facing APP, it targets engineers and product teams who want to integrate relevance and personalization into their own products.

What it does

At its core, Shaped lets you send events and content data to its service and receive ranked results back. The platfORM is positioned around ranking models that learn from user interactions, so that search results, recommendations, or feed ordering can adapt to indiVidual behavior over time. The exACT set of model options and configuration controls may vary by plan and account.

Key capabilities

• API-driven ranking: Integrate personalized ordering into existing applications through documented endpoints.
• Recommendation models: Support for surfacing relevant items based on user activity and content attributes.
• Event and data ingestion: Feed interaction signals into the system so models can learn from real usage.
• Developer orientation: Built for engineering teams that prefer to wire up personalization programmatically rather than adopt a packaged end-user tool.

Because the product is API-centric, the practical feature set depends heavily on how a team instruments its data pipeline and how much training signal it can provIDE. Features and limits may change as the platform evolves.

Who it is for

Shaped is best suited to software companies, marketplaces, content platforms, and SaaS products that already have a user base generating interaction data and want to add search relevance or recommendation features. It is less appropriate for individuals seeking a ready-made consumer application, since using it requires engineering resources to integrate and mAIntain. Data teams evaluating build-versus-buy options for personalization may find it a useful Comparison point.

How to get started

1. Visit the official website to review documentation and underStand the available APIs.
2. Assess your data readiness, particularly whether you can supply item catalogs and user interaction events.
3. Request access or consult sales if the platform requires an account or onboarding before API use.
4. Plan a small pilot, such as ranking a single search or feed surface, before expanding to more areas.

Pricing and access

Specific pricing, trial availability, and usage limits are not confirmed here and may vary over time, so check the vendor's current terms before committing. Access to the service may depend on account approval or a commercial agreement. Teams should also review data handling and privacy terms, since personalization typically involves processing user behavior data.