The Caesar API gives developers a simple way to turn queries and documents into fully cited, expert-level answers. Instead of stitching together dozens of APIs or building a complex data pipeline, Caesar handles the heavy lifting: scraping, retrieving, reasoning, and synthesizing responses. Every answer comes with the underlying sources so you can surface real-time knowledge in your application without integrating endless third-party tools.
Caesar doesn’t just find information. It researches, validates, and synthesizes it into coherent, citation-backed insights.
Works across all domains without specialized configuration. From financial analysis to scientific research, Caesar adapts to your query context.
Async-first architecture with robust error handling, rate limiting, and monitoring. Build responsive applications without blocking on research tasks.
Every claim is backed by citations. Caesar provides source URLs, relevance scores, and content snippets for complete transparency.
Caesar operates on an asynchronous job model:
Control research depth with compute units (1-10). Each unit represents ~1 minute of processing and enables additional reasoning loops. Default is 1 CU.
Transform output format without affecting research logic. System prompts apply post-processing to synthesized content, enabling custom formatting for different use cases.
Navigate large result sets efficiently with page-based pagination. All list endpoints support consistent pagination parameters for predictable data retrieval.
5 concurrent jobs, 200 monthly compute units. Limits apply to job creation only, reading results is unlimited.
