StaleTrace
When an agent fails in production, it usually isn't a reasoning bug — it acted on a fact that had already changed. StaleTrace reconstructs what was true at the time, finds the stale or conflicting fact, and generates an incident report.
No LLM call. No graph database. Deterministic temporal logic.
Reconstructed incident · customer_123
Feb 10 · current
address = Austin
Apr 2 · agent action
create_shipment → ship_to: Dallas
Root cause found
The agent shipped to an old address.
How it works
From raw logs to a root cause.
Feed it your agent's tool calls and the facts your systems already record. It does the rest — deterministically.
01
Reconstruct the timeline
Replays your fact events into a temporal ledger, so every value has a window of when it was actually valid.
02
Find the bad fact
Checks what the agent used against what was valid at that moment — surfacing stale, conflicting, or closed-account state.
03
Generate the report
Produces a plain-language root cause, a blast radius, and a copyable incident report your team can act on.
Why it's different
It's a ledger, not a model.
No guesses, no embeddings, no second LLM to audit the first. The same inputs always produce the same verdict — which is what you want when you're explaining a production failure. The engine is ValidMemory, a zero-token temporal fact ledger.
Deterministic temporal logic No LLM call No graph database Reproducible verdicts Open-source engine
See it on your own incident.
Join the waitlist for a hosted workspace, or book a 20-minute walkthrough with your data.
We'll only email you about early access.