Agent Run Review

Agent run review / trace cost evals / post-run analysis / agent debugging in one call: hand it a raw agent execution trace and get a readable brief of what happened, a cost…

Overview

Agent run review / trace cost evals / post-run analysis / agent debugging in one call: hand it a raw agent execution trace and get a readable brief of what happened, a cost estimate for the run, and a first draft of regression eval cases to catch the same failure next time. Composite: one call runs agent-trace-brief + llm-cost-estimate + eval-case-generate in parallel and merges them into {review, cost_estimate, generated_evals}. agent-trace-brief turns the raw steps/tool-calls into an ordered summary plus a root-cause hypothesis for any failure; llm-cost-estimate prices the run's tokens across a model list; eval-case-generate drafts candidate {input, expected, rubric} cases from the inferred task so the workflow gets regression coverage. Use it as an agent debugging API, a post-run trace reviewer, or a step toward turning production incidents into eval sets.

Endpoint

Method	Endpoint	Price	Description
POST	/v1/marketplace/api/agent-run-review	$0.069	Invoke Agent Run Review (Llm) and return the upstream response.

How to call it

Requests are paid per call over the x402 protocol. Call the endpoint, receive a 402 Payment Required quote, then repeat the request with the signed payment header. The SDKs do both steps for you.

# 1. Ask for a quote
curl -i -X POST https://api.jarvisclaw.ai/v1/marketplace/api/agent-run-review \
  -H 'Content-Type: application/json' \
  -d '{}'

# 2. Pay it (the SDK signs and retries for you)
curl -X POST https://api.jarvisclaw.ai/v1/marketplace/api/agent-run-review \
  -H 'Content-Type: application/json' \
  -H 'X-PAYMENT: <signed-payload>' \
  -d '{}'

Open in the marketplace