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LLM Evaluation & Observability🔴Developer
T

Traceloop

LLM reliability platform that turns evals and monitors into a continuous feedback loop — recently announced to be joining ServiceNow.

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In Plain English

LLM reliability platform that turns evals and monitors into a continuous feedback loop — recently announced to be joining ServiceNow.

OverviewFeaturesPricingUse CasesFAQ

Overview

Traceloop is an LLM reliability platform built around a continuous feedback loop between evaluation and production monitoring. The product replaces the typical 'spreadsheets stuffed with ad-hoc scores' workflow with structured online evals that run against real production traffic, monitors that alert when quality drifts, and tooling to trace and explain regressions back to specific prompts, retrievals, or tool calls. Traceloop is also the team behind OpenLLMetry, the open-source OpenTelemetry instrumentation for LLM applications, which means customers can use the same OTel pipeline they already run for traditional services to capture LLM spans. In 2026 Traceloop announced it is joining ServiceNow; the standalone product continues to ship and customers can still sign up for free or contact sales for enterprise use. Typical use cases include catching prompt-template regressions before they hit users, monitoring agent tool-call success rates, debugging RAG quality across data sources, and giving product leaders a single dashboard for LLM app health. Pricing covers a free tier, a paid plan, and enterprise contracts; figures are on traceloop.com/pricing. Best for AI product teams shipping LLM features who want trustworthy evals tied to real production traffic.

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Key Features

Feature information is available on the official website.

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Pricing Plans

Free

$0

    Paid

    Usage-based

      Enterprise

      Contact sales

        See Full Pricing →Free vs Paid →Is it worth it? →

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        Best Use Cases

        🎯

        Catching prompt or model regressions before they hit users

        ⚡

        Monitoring agent tool-call success and latency

        🔧

        Debugging RAG quality across data sources

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        Unifying LLM telemetry with existing OTel pipelines

        Pros & Cons

        ✓ Pros

        • ✓Open-source OpenLLMetry means no vendor lock-in on instrumentation
        • ✓Online evals on real production traffic, not just offline batches
        • ✓Plays well with the broader OTel observability ecosystem
        • ✓Strong trace-level debugging across prompts, RAG, and tool calls
        • ✓Free tier is genuinely usable for early-stage products

        ✗ Cons

        • ✗Dashboard customisation narrower than general-purpose BI tools
        • ✗Eval quality depends on you authoring good rubrics
        • ✗Post-acquisition roadmap uncertainty pending ServiceNow integration
        • ✗Pricing details for paid tiers can change as packaging shifts

        Frequently Asked Questions

        How much does Traceloop cost?+

        Traceloop pricing starts at $0. They offer 3 pricing tiers.
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        Quick Info

        Category

        LLM Evaluation & Observability

        Website

        traceloop.com
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