Scorecard

About Scorecard

Scorecard is an evaluation and observability platform for AI agents that helps teams measure, monitor, and improve agent behavior. It combines automated LLM evaluations, human feedback, and product telemetry to surface failures and regressions before they reach end users.

Review

Scorecard is aimed at teams working on agents in high-stakes or production environments and focuses on continuous evaluation and monitoring. The platform brings together multiple signals and exposes them through dashboards, sampling monitors, and trace-level links so product managers, subject-matter experts, and engineers can collaborate on quality issues.

Key Features

• Combined scoring using LLM-based metrics, human review, and product signals to produce actionable evals.
• Production monitors that sample live agent traffic with configurable sampling rates and keyword filters.
• Trace-level observability that links failing outputs to function calls and execution traces for faster debugging.
• Dashboards and workflows for non-engineers to run experiments and validate outputs without deep code changes.
• APIs and SDKs for embedding evals into existing agent frameworks and CI/CD pipelines.

Pricing and Value

Scorecard offers free options to get started and paid plans that scale with eval volume, retention needs, and enterprise features. The value proposition centers on catching regressions early and reducing the iteration cycle for agents; the vendor reports customers see substantially faster shipping once continuous evaluation is in place. Costs will depend on how many live evaluations you run and which integrations or enterprise controls you require.

Pros

• Brings multiple signals together so teams can avoid over‑optimizing a single metric.
• Production sampling and automated scoring help detect real-world regressions quickly.
• Accessible workflows let non-engineers contribute to validation and experiment tracking.
• Trace links between outputs and function calls speed root-cause analysis for engineers.
• APIs/SDKs support integration into agent development and monitoring pipelines.

Cons

• Instrumenting agents and product telemetry requires upfront integration effort to get full value.
• Advanced monitoring and enterprise controls are likely part of paid tiers, which can increase costs for large-scale usage.
• Some analytics or analytics-warehouse connectors may need custom export work rather than one-click import.

Scorecard is best suited for product and engineering teams building production AI agents who need continuous, observable evaluation and a way for non-engineers to participate in validation. Organizations that face safety, compliance, or customer-impact risks from agent errors will benefit most from its combination of live monitoring, human feedback, and traceability.

Open 'Scorecard' Website