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The Rise of CaaS: Context-as-a-Service for Agentic AI — Omer Primor, Bright Data

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AI Engineer
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AI Engineer
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Terms in this piece · Glossary
  • context window — The maximum amount of text a model can consider at once — its working memory for the current conversation or task.
  • AI agent — An AI system that doesn't just answer once but works toward a goal in a loop — taking actions, reading the results, and deciding what to do next.
Why it matters

It gives a concrete break-even figure for the buy-versus-build decision on data, which is otherwise argued on vibes.

Key quotes

“Just past 15,000 queries, renting context stopped being the cheaper option.”

“Pricing a week of setup at $5,000, the build it yourself path crossed over a little above 15,000 entities, and he expects the real crossover sits lower than most teams assume.”

“Web data decays fast, with social content stale inside a day and news, finance, and retail largely irrelevant after 30 days, so context is never a snapshot you take once.”

“Every repeated query costs what the first one did, even when nothing has changed and the answer comes back identical.”

“The dedicated context vendors scored lower on coverage than general search, because they can only answer from what they already hold, and a question outside that set has no answer at any price.”

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