Skip to main content
See what your LLM app is doing inside Scorecard in minutes. Point your client at Scorecard’s proxy to ingest a trace, then explore it on the Records page.
1

Get your API key

Create a Scorecard account and copy your API key from Settings.
2

Send a trace

The fastest way to ingest a trace is the LLM proxy: change your client’s baseURL to https://llm.scorecard.io and pass your Scorecard API key as a header. No SDK or instrumentation needed.
Run your app once to send a trace. For SDK wrappers, OpenTelemetry, and framework integrations, see the Tracing Quickstart.
3

Find your trace on the Records page

Go to app.scorecard.io and open the Records page. Your trace appears as a record with its inputs, outputs, cost, latency, and any scores.Search and filter by status, source, trace ID, time range, and more. Use Quick Filters for presets and Edit Table to pick columns.
4

Explore the trace

Click a record to open its trace detail panel, which breaks the trace into four tabs:
  • Conversation: a chat-style replay of messages and tool calls
  • Timeline: a Gantt-style view of every span and how long each takes
  • Chat: ask questions about the trace in natural language
  • Debug: the full span tree, trace overview, and raw span data
5

Score the records

Score traces right from the Records page. Select the records to evaluate, then click Score Records.Pick one or more metrics in the modal and click Score. Scores appear on each record when evaluation finishes.
You need at least one metric in your project first. Create one in a minute with the Metrics Quickstart.

Ask about your data with MCP

Connect Scorecard’s MCP server to a client like Claude Code or Cursor and ask about your records, runs, and scores in natural language, without leaving your editor.

Where to go next

  • Turn real traces into test cases with Testsets
  • Define reusable evaluation criteria with Metrics
  • Learn advanced instrumentation in Tracing
  • Combine evaluation data with trace observability in SDK + Tracing