01 · The Landscape
The internet is being eaten by agents.
But every agent builds context from scratch on every request. Redundant retrieval. Redundant reasoning. Wasted latency. Wasted tokens. Existing search APIs were not built for autonomous workflows firing 50 to 100 queries per task.
Per Agent Task
0–100
Search calls a single agent fires in a session.
Incumbent Cost
$0–$0
Per 1K queries today, across the major providers.
Tail Latency
0ms
P95 worst case across providers. Agents stall waiting on I/O.
Cached Today
0%
No shared memory layer exists across providers. Every query pays full cost.
The kicker: every cache only knows that customer's queries. Every agent re-pays for the same answer the rest of the world already bought.
02 · Current Latencies
What your agent waits for.
P50 latency across the major search APIs today. Lower is better. Every one of these numbers is what your agent stalls on before it can do anything useful with the result.
P50 LATENCY · WHAT YOUR AGENT WAITS FOR
MS · LOWER IS BETTER
Void
89 ms
Tavily
180 ms
Perplexity Search
250 ms
Exa Fast
350 ms
Brave Search API
669 ms
Exa
~1,200 ms
Parallel
no published benchmark
not published
Sources: each provider's own published benchmarks. Parallel does not publish a P50 latency. Void figure from internal staging, 30-day window.
03 · The Solution
Three tiers. One endpoint.
Most queries return from cache in under 10ms. The rest get routed to whichever provider is fastest for that query, automatically.
Tier 01 // L1
Exact-Hash Cache
Latency< 1ms
Hit share20–30%
Backed byEdge KV
Tier 02 // L2
Semantic Vector Cache
Latency5–10ms
Hit share30–40%
Backed byVec-HNSW + reranker
Tier 03 // L3
Intelligent Upstream Router
Latency300–900ms
Hit share30–40%
Routes toBrave · Exa · Perplexity · Parallel · Tavily