The lenses

Agent Chain lens

The Agent Chain lens reads a JSON trace from an agent system and locates the step in the chain where the structural shape changes. The output reads as a per-step structural attribution, so the buyer can pin the verdict to one step rather than the whole chain.

What it answers

The lens answers which step in an agent trace is responsible for the structural verdict on the final output. The answer is a per-step breakdown showing the structural reading at the input to each step and at the output of each step, with the step where the structural shape changes highlighted.

When to run it

Run the Agent Chain lens on any multi-agent or multi-step LLM pipeline where the final output has been diagnosed and the buyer needs step-level attribution. The lens is also used in incident review, where the buyer's team is investigating a misbehaving agent system and needs to know which step in the chain altered the structural shape.

Public-shaped output

The result page renders an Agent Chain panel with one row per step. Each row carries the step label, the structural reading at the input, the structural reading at the output, and a flag indicating whether this step is where the shape changed. A footer row reports the responsible step, namely the step whose output verdict drives the final verdict.

Agent Chain lens panel showing per-step structural readings with the responsible step highlighted
Agent Chain lens panel on a Business-tier run, five-step trace.

Input requirements

The lens consumes a JSON trace shaped like agent_trace_sample.json. The trace lists the steps in order, with each step carrying its input, its output, and any intermediate state the agent recorded. The lens engine parser is tolerant to common trace formats and surfaces a structural reading at each boundary.

Tier gate

Business tier and above unlock the lens. Free, Growth, and Pro do not.

TierUnlockedSteps supported
Free
Growth
Pro
BusinessUp to twenty
EnterpriseUnbounded

What buyers do with it

Buyers pin the structural break to one step rather than the whole chain. A multi-step agent system whose final output has a mixed or model-inadequate verdict often has one step that is doing the damage. The lens names that step, and the buyer's team rewrites or retrains it.

Reviewers reading the report under EU AI Act Article 9 (high-risk per Annex III, applicable from August 2026) treat the Agent Chain panel as documented per-step attribution; the panel reports the structural reading at each boundary and the responsible step, without prescribing a redesign.

Further reading