--- schema: 1 type: video title: >- The Rise of CaaS: Context-as-a-Service for Agentic AI — Omer Primor, Bright Data description: >- Just past 15,000 queries, renting context stopped being the cheaper option. Omer Primor gets that number from a small experiment he is careful to call a test rather than a benchmark: enrich one company across 25 fields, run it 100 times against this event's sponsors, and compare AI search products, context as a service vendors, and a scraper pipeline built in roughly a day. 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. The argument underneath is about frequency rather than volume. 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. What he sees teams do about that is quietly cut scope: check a company weekly instead of daily, take 10 results instead of all of them, skip the question entirely. Owning the pipeline inverts the shape, paying upfront so that retrieval afterwards is effectively free. One result surprised him. 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. Speaker info: - https://www.linkedin.com/in/omer-primor/ - https://brightdata.com/ai/context Timestamps: 0:00 - Web scale, and the web as context rather than data 2:43 - Data decay, and why context is not a snapshot 3:37 - Search fragments, from Google to the AI search companies 5:42 - What search cannot answer about change over time 6:32 - Context as a service, and the vertical search shape 10:01 - The test: 25 fields, 100 companies 11:04 - Coverage, and why the context vendors placed lower 12:32 - Cost, and frequency as the real killer 15:22 - Cutting corners, renting versus owning 15:59 - Building it yourself in a day 18:34 - The tipping point just above 15,000 queries 21:31 - Owned context compounds, rented context decays --- Watch along with the corrected transcript, summary, timestamps and resources on this talk's official AIE page: https://ai.engineer/talks/Ot4OPrPH4xY-the-rise-of-caas-context-as-a-service-for-agentic-ai Join our upcoming AI Engineer conferences (see https://ai.engineer landing page): - AIEi Shanghai, November 5–6 — the first for meeting top Chinese labs and engineers - AIE CODE in SF, November 10–12 — the top AI Coding conference returns - AIEi Sydney, December 7–8 — the first AIEi run alongside NeurIPS 2026 in Sydney --- canonical: >- https://liquidgold.cc/channel/aidotengineer/explore/video/the-rise-of-caas-context-as-a-service-for-agentic-a-b4d3ae208b5f markdown: >- https://liquidgold.cc/channel/aidotengineer/video/the-rise-of-caas-context-as-a-service-for-agentic-a-b4d3ae208b5f.md llms: null parent: 'https://liquidgold.cc/channel/aidotengineer.md' channel: aidotengineer updated: '2026-10-24T05:19:08.409Z' language: null children: [] videoId: Ot4OPrPH4xY durationSeconds: 1340 publishedAt: '2026-08-14T16:30:36.000Z' searchChunks: - ordinal: 0 text: null startSeconds: 23 endSeconds: 170 watch: 'https://liquidgold.cc/watch/Ot4OPrPH4xY?t=23' heldReason: rights - ordinal: 1 text: null startSeconds: 23 endSeconds: 170 watch: 'https://liquidgold.cc/watch/Ot4OPrPH4xY?t=23' heldReason: rights - ordinal: 2 text: null startSeconds: 170 endSeconds: 182 watch: 'https://liquidgold.cc/watch/Ot4OPrPH4xY?t=170' heldReason: rights - ordinal: 3 text: null startSeconds: 182 endSeconds: 217 watch: 'https://liquidgold.cc/watch/Ot4OPrPH4xY?t=182' heldReason: rights - ordinal: 4 text: null startSeconds: 230 endSeconds: 352 watch: 'https://liquidgold.cc/watch/Ot4OPrPH4xY?t=230' heldReason: rights - ordinal: 5 text: null startSeconds: 230 endSeconds: 352 watch: 'https://liquidgold.cc/watch/Ot4OPrPH4xY?t=230' heldReason: rights - ordinal: 6 text: null startSeconds: 230 endSeconds: 352 watch: 'https://liquidgold.cc/watch/Ot4OPrPH4xY?t=230' heldReason: rights - ordinal: 7 text: null startSeconds: 352 endSeconds: 365 watch: 'https://liquidgold.cc/watch/Ot4OPrPH4xY?t=352' heldReason: rights - ordinal: 8 text: null startSeconds: 365 endSeconds: 398 watch: 'https://liquidgold.cc/watch/Ot4OPrPH4xY?t=365' heldReason: rights - ordinal: 9 text: null startSeconds: 398 endSeconds: 408 watch: 'https://liquidgold.cc/watch/Ot4OPrPH4xY?t=398' heldReason: rights - ordinal: 10 text: null startSeconds: 408 endSeconds: 608 watch: 'https://liquidgold.cc/watch/Ot4OPrPH4xY?t=408' heldReason: rights - ordinal: 11 text: null startSeconds: 408 endSeconds: 608 watch: 'https://liquidgold.cc/watch/Ot4OPrPH4xY?t=408' heldReason: rights - ordinal: 12 text: null startSeconds: 408 endSeconds: 608 watch: 'https://liquidgold.cc/watch/Ot4OPrPH4xY?t=408' heldReason: rights - ordinal: 13 text: null startSeconds: 608 endSeconds: 618 watch: 'https://liquidgold.cc/watch/Ot4OPrPH4xY?t=608' heldReason: rights - ordinal: 14 text: null startSeconds: 684 endSeconds: 760 watch: 'https://liquidgold.cc/watch/Ot4OPrPH4xY?t=684' heldReason: rights - ordinal: 15 text: null startSeconds: 760 endSeconds: 771 watch: 'https://liquidgold.cc/watch/Ot4OPrPH4xY?t=760' heldReason: rights - ordinal: 16 text: null startSeconds: 771 endSeconds: 926 watch: 'https://liquidgold.cc/watch/Ot4OPrPH4xY?t=771' heldReason: rights - ordinal: 17 text: null startSeconds: 926 endSeconds: 936 watch: 'https://liquidgold.cc/watch/Ot4OPrPH4xY?t=926' heldReason: rights - ordinal: 18 text: null startSeconds: 959 endSeconds: 970 watch: 'https://liquidgold.cc/watch/Ot4OPrPH4xY?t=959' heldReason: rights - ordinal: 19 text: null startSeconds: 970 endSeconds: 1118 watch: 'https://liquidgold.cc/watch/Ot4OPrPH4xY?t=970' heldReason: rights - ordinal: 20 text: null startSeconds: 1128 endSeconds: 1300 watch: 'https://liquidgold.cc/watch/Ot4OPrPH4xY?t=1128' heldReason: rights - ordinal: 21 text: null startSeconds: 1300 endSeconds: 1311 watch: 'https://liquidgold.cc/watch/Ot4OPrPH4xY?t=1300' heldReason: rights --- # The Rise of CaaS: Context-as-a-Service for Agentic AI — Omer Primor, Bright Data Just past 15,000 queries, renting context stopped being the cheaper option. Omer Primor gets that number from a small experiment he is careful to call a test rather than a benchmark: enrich one company across 25 fields, run it 100 times against this event's sponsors, and compare AI search products, context as a service vendors, and a scraper pipeline built in roughly a day. 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. The argument underneath is about frequency rather than volume. 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. What he sees teams do about that is quietly cut scope: check a company weekly instead of daily, take 10 results instead of all of them, skip the question entirely. Owning the pipeline inverts the shape, paying upfront so that retrieval afterwards is effectively free. One result surprised him. 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. Speaker info: - https://www.linkedin.com/in/omer-primor/ - https://brightdata.com/ai/context Timestamps: 0:00 - Web scale, and the web as context rather than data 2:43 - Data decay, and why context is not a snapshot 3:37 - Search fragments, from Google to the AI search companies 5:42 - What search cannot answer about change over time 6:32 - Context as a service, and the vertical search shape 10:01 - The test: 25 fields, 100 companies 11:04 - Coverage, and why the context vendors placed lower 12:32 - Cost, and frequency as the real killer 15:22 - Cutting corners, renting versus owning 15:59 - Building it yourself in a day 18:34 - The tipping point just above 15,000 queries 21:31 - Owned context compounds, rented context decays --- Watch along with the corrected transcript, summary, timestamps and resources on this talk's official AIE page: https://ai.engineer/talks/Ot4OPrPH4xY-the-rise-of-caas-context-as-a-service-for-agentic-ai Join our upcoming AI Engineer conferences (see https://ai.engineer landing page): - AIEi Shanghai, November 5–6 — the first for meeting top Chinese labs and engineers - AIE CODE in SF, November 10–12 — the top AI Coding conference returns - AIEi Sydney, December 7–8 — the first AIEi run alongside NeurIPS 2026 in Sydney --- Canonical: https://liquidgold.cc/channel/aidotengineer/explore/video/the-rise-of-caas-context-as-a-service-for-agentic-a-b4d3ae208b5f · Channel: [AI Engineer](https://liquidgold.cc/channel/aidotengineer.md) > Search chunk text is held until public-source provenance is verified. ## Document chunks > Missing: no stored document chunks are available.