ServiceHop sits alongside your existing stack. It reads traffic, models it, and produces findings you can act on. No agents in the critical path. No code changes.
ServiceHop receives API traffic through a lightweight forwarder or an existing ingestion point — whichever is less intrusive to your stack. No SDK. No agents in the critical path. No code changes.
Traffic is profiled structurally and semantically. Fields are classified, endpoints are fingerprinted, flows are reconstructed end-to-end, and services are grouped by behavioral signature across the entire portfolio.
ServiceHop produces findings: redundancies, cacheability opportunities, merge candidates, traffic that adds no value. Every finding is traceable to the real traffic that justified it.
ServiceHop reduces the noise of telemetry to four things that actually describe a system.
Every API call: headers, payloads, latency, response shape — sampled and classified.
What each endpoint actually does, derived from how its traffic behaves.
Related calls grouped into a single user or system journey.
Multi-service transactions reconstructed end-to-end from real traffic.
The same primitives, asked three different questions.
A complete picture of your system right now — what exists, what matters, what's wasteful.
What's changed between two points in time — new services, drift, structural shifts.
Start from one finding and follow the evidence to the structural decision behind it.
Not a list of buzzwords — the actual capabilities ServiceHop is built around.
Request and response fields are typed by purpose — identifiers, queries, metadata, errors — not by name. Two services with different schemas can still be recognized as equivalent.
Multi-service transactions rebuilt end-to-end from raw traffic. Topology, latency accumulation, and structural dependencies — without distributed tracing.
Replays real traffic against cache strategies before you ship them. Quantifies hit rate, response similarity, and the risk of incorrect reuse.
Every finding ships with the calls that justified it. Auditable, drillable, replayable — never a black-box recommendation.
Facts and findings are computed from clearly-stated thresholds. AI is used for narrative summary only — never to invent the underlying numbers.
All data stays on your infrastructure. No vendor lock-in, no telemetry leaves your network. Works in air-gapped environments.
Sample analysis · one finding, end to end
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