BA

Basalt

active saas

Make your agents learn from every user interaction.

Basalt is an AI engineering and reliability platform that analyzes real production agent interactions, identifies recurring failures, generates targeted fixes, validates them against golden datasets, and opens pull requests automatically.

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What is Basalt?

Basalt helps teams continuously improve production AI agents by turning real user interactions into automated engineering improvements. It connects to observability and trace sources such as Langfuse, Braintrust and Datadog, analyzes conversations to identify failure patterns, and uses AI to generate targeted changes to system prompts, tool definitions and few-shot examples. Before creating a pull request, Basalt validates the proposed change against a team's golden dataset to prevent regressions. The platform also provides prompt management, datasets, experiments and OpenTelemetry-based observability through its API and SDKs.
Software Category Artificial Intelligence
Pricing Model Usage-Based / Pay-Per-Merged-PR
Product Type saas
Starting Price USD $0.00

Basalt Features

✓ Key Feature

Usage-based pricing with no starting cost (free to start)

✓ Key Feature

Integrates with observability and trace sources such as Langfuse, Braintrust, and Datadog

✓ Key Feature

Automatically analyzes production agent interactions to identify failure patterns and generates targeted fixes

✓ Key Feature

Validates proposed changes against golden datasets before opening pull requests to prevent regressions

✓ Key Feature

Provides prompt management, datasets, experiments, and OpenTelemetry-based observability via API and SDKs

Basalt Pricing

Billing Model: Usage-Based / Pay-Per-Merged-PR
USD $0.00 / starting

Check the official vendor site for volume discounts, regional tiers, and enterprise terms.

View Official Pricing →

Basalt Pros and Cons

✓ Key Strengths (Pros)

  • • Usage-based pricing with no starting cost (free to start)
  • • Integrates with observability and trace sources such as Langfuse, Braintrust, and Datadog
  • • Automatically analyzes production agent interactions to identify failure patterns and generates targeted fixes
  • • Validates proposed changes against golden datasets before opening pull requests to prevent regressions
  • • Provides prompt management, datasets, experiments, and OpenTelemetry-based observability via API and SDKs

⚠ Considerations & Limitations (Cons)

  • • No user reviews or ratings available (review count 0, average rating null)
  • • Usage-based pricing may lead to unpredictable costs depending on volume
  • • SaaS-only deployment (no on-premise option indicated)