{"best_for":["Software companies","Engineering teams building AI agents","Teams in regulated industries","LLM application developers"],"citation":{"dataset":"aitoolsforbusiness-agent-tool-export","directory_tool_url":"https://aitoolsforbusiness.ai/fallom","json_profile_url":"https://aitoolsforbusiness.ai/data/tools/fallom.json","markdown_profile_url":"https://aitoolsforbusiness.ai/data/markdown/tools-md-020.json","schema_version":"1.4.0","suggested_citation_label":"AI Tools for Business: Fallom (https://aitoolsforbusiness.ai/fallom)"},"features":["OpenTelemetry Tracing: Captures LLM calls, tool invocations, and responses with timing and token usage.","Cost Attribution: Tracks spend per model, user, or team to provide visibility into AI operational costs.","LLM Evaluations: Uses G-Eval methodology with seven built-in metrics to measure response quality and detect regressions.","Compliance Tools: Provides immutable interaction logs and audit trails to help support GDPR, SOC 2, and EU AI Act requirements.","Model A/B Testing: Supports splitting traffic between different models to compare performance, speed, and cost.","Privacy Mode: Includes configurable content redaction to protect sensitive data while maintaining telemetry.","Prompt Version Control: A prompt store for versioning, testing, and deploying prompt variations."],"freshness_status":"fresh","name":"Fallom","pricing_note":"Plans include a free tier, a Pro plan at $49/month, and a Startup plan at $249/month, with custom Enterprise pricing available.","pricing_url":null,"primary_category":"Software Development","profile_last_verified":"2026-06-23T14:07:44.771Z","secondary_categories":[],"short_description":"Fallom provides OpenTelemetry tracing and observability for LLM applications to help engineering teams track costs, debug latency, and monitor AI quality.","slug":"fallom","sponsorship_status":"none","url":"https://aitoolsforbusiness.ai/fallom","use_cases":["Cost Monitoring: Attributing LLM expenses to specific users, teams, or models for budgeting.","Latency Debugging: Using timing waterfalls to identify bottlenecks in multi-step AI agent workflows.","Quality Assurance: Running evaluations on production traces to monitor for hallucinations or toxicity.","Compliance Auditing: Maintaining immutable logs of AI interactions to support regulatory transparency requirements."],"website_url":"https://fallom.com/"}