Laminar Signals
Laminar Signals uses a trace analysis agent to identify AI agent failures and produce structured events for monitoring and alerts.
Find alternatives to Laminar Signals
What it does
- Evaluation and observability
Features 5
- Signals agentA trace analysis agent that takes a trace, a prompt and a JSON schema and returns a structured signal event.
- Triggers, trace filters and backfillConfigure when the Signals agent starts processing traces, or backfill to analyze historical traces.
- SQL queries on eventsStructured signal event fields are available to query in SQL to filter, count and compare outcomes.
- ClustersAutomatically groups similar events by the meaning of their findings to show recurring issues.
- AlertsNotifies in Slack or by email when a new signal event matches conditions or a new cluster forms.
Sources
- Pricing
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Pricing page: "$0.05 / input Mtok $0.01 / cached Mtok $0.30 / output Mtok"
- Description
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Official documentation · 14 Oct 2026
Product page: "Laminar’s Signals analyze agent traces to identify failures"
- What it does
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Official documentation · 14 Oct 2026
Product page: "Laminar’s Signals analyze agent traces to identify failures"
- Sold within
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Pricing page: the Free plan lists "No Signals"; the cost note reads "Signals are billed by tokens used during analysis by our internal Signals Agent." and Starter adds a "$5 one-time Signals credit".
- Name
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Official documentation · 14 Oct 2026
Name as published on the product page.
- URL
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Official documentation · 14 Oct 2026
Product page, read 2026-10-14.
- Deployment
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Official documentation · 18 Oct 2026
"AI features (chat-with-trace, SQL-with-AI, and Signals) need an LLM provider key on self-hosted deployments; on Laminar Cloud they are included." and the feature table shows Signals with "Helm + license" and "Laminar Cloud" only.
- Interfaces
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Official documentation · 18 Oct 2026
"Realtime traces, full-text search, raw SQL access from the UI, CLI, or MCP, and custom dashboards."
Also from Laminar
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Laminar Agent AI agent
Laminar Agent answers questions about project data by querying it directly.
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Laminar Infrastructure service
Open-source observability platform for AI agents: captures traces of LLM and tool calls, analyzes every run for failures with its flow-1 model, and adds evaluations, an agent debugger, labeling queues, dashboards and SQL access, on Laminar Cloud or self-hosted.
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