SeenRelay — measuring redundant external reads across agent workers before trying to optimize them

[Vlad Belciug (ovladon)]

I’m looking for real multi-agent workloads where independent workers may be paying to read or validate the same external state.

The problem is narrower than general caching. Examples are overlapping paid web searches, scraping/browser calls, metadata/status reads, or other deterministic read-only operations performed by separate workers.

SeenRelay now has a local-only GitHub Action that can prescreen a repository without connecting to the SeenRelay service:

uses: ovladon/seenrelay-cost-prescreen@v1

If a workload survives that prescreen, the next step is shadow measurement. Every authoritative operation still runs. The measurement compares local single-flight/cache, source/provider-native controls, exact recurrence, agreement, latency, cost provenance and coordination overhead.

Only after that can a workload receive:

USE / DO NOT USE / INSUFFICIENT EVIDENCE

I’m specifically looking for real Agent Framework workloads to test this boundary. I am not assuming SeenRelay will win; proving that a native mechanism is better is equally useful.

SeenRelay:
https://github.com/ovladon/seenrelay

Cost Prescreen:
https://github.com/ovladon/seenrelay-cost-prescreen