The Rise of CaaS: Context-as-a-Service for Agentic AI — Omer Primor, Bright Data
Omer Primor from Bright Data presents a comparison between renting pre-built context data (Context-as-a-Service) and building your own pipeline to keep AI agents updated with web data.
In a test enriching 25 information fields for 100 companies, costs became equal at approximately 15,000 queries. The primary challenge is not data volume but update frequency: social media becomes outdated within a day, news and financial data within 30 days. With rented services, each repeated query costs the same even when the answer hasn't changed, while self-built solutions pay large upfront costs but are then effectively free per search.
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