1
LangSmith
LangSmith is a unified agent engineering platform providing comprehensive observability, evaluations, and prompt engineering specifically designed for any LLM application or AI agent.
AI Tool
PandaProbe Cloud Review
PandaProbe Cloud offers production-grade agent tracing, evaluations, and monitoring services that are fully managed, eliminating infrastructure overhead for teams.
shipped Jun 15, 2026aifreemium
1PandaProbe Cloud provides a 'Hobby' plan with 100 base trace ingestions/month and 100 trace eval runs/month.
2The platform includes full-stack tracing, evaluation with state-of-the-art agent-specific metrics, and production monitoring capabilities.
3Developed by Chirpz AI, PandaProbe Cloud was introduced with a YouTube video on June 6, 2026.
4A 'Pro' plan is available at $29/month, offering 5,000 base traces/month and 5,000 trace eval runs/month.
PandaProbe Cloud at a Glance
About PandaProbe Cloud
Similar Tools
Compare Alternatives
Other tools you might consider
View on Stork→
2
Langfuse
Langfuse is an open-source AI engineering platform that provides deep insights into metrics, tracing, and evaluation for LLM systems and AI agents, with a focus on being self-hostable.
3
Braintrust
Braintrust is an evaluation-first AI agent observability platform that integrates comprehensive trace capture, automated scoring, and real-time monitoring with production feedback loops.
4
Galileo
Galileo is an AI agent reliability platform that combines real-time evaluations, automated failure detection, and runtime protection, utilizing purpose-built small language models (Luna-2) for cost-effective continuous evaluation.
Connect
𝕏
X / Twitter@PandaProbe
overview
What is PandaProbe Cloud?
PandaProbe Cloud is an AI agent engineering platform developed by Chirpz AI that enables AI engineers and teams to trace, evaluate, and monitor AI agents in production. It provides fully managed services to eliminate infrastructure overhead, allowing teams to ship better agents more efficiently. The platform offers full-stack capabilities for AI agent development and maintenance, focusing on tracing the complete lifecycle of an AI agent, including model calls, tool calls, and decision branches. It provides research-grounded evaluation metrics for long-running agents, detecting uncertainty and scoring trajectories across the agent's entire lifecycle. Continuous monitoring is enabled through scheduled evaluation runs against production traffic, designed to identify regressions and behavioral drift before user impact. The primary objective is to assist engineering teams in building and deploying AI agents safely and efficiently, ensuring quality and reliability in production environments without the burden of managing underlying tooling infrastructure.
quick facts
Quick Facts
| Attribute | Value |
|---|---|
| Developer | Chirpz AI |
| Business Model | Subscription SaaS, Freemium |
| Pricing | Freemium, starting at $29/month for 'Pro' plan |
| Platforms | Web, API |
| API Available | Yes |
features
Key Features of PandaProbe Cloud
PandaProbe Cloud integrates several features designed to streamline the development and maintenance of AI agents, focusing on observability and operational efficiency. These capabilities address the specific challenges of debugging, evaluating, and monitoring complex agent behaviors in production.
- 1Full-stack agent tracing, capturing every model call, tool call, and decision branch for comprehensive lifecycle visibility.
- 2Agent evaluation using state-of-the-art, research-grounded agent-specific metrics, including LLM-as-judge scoring with structured feedback.
- 3Continuous monitoring with a built-in scheduler for daily, hourly, or custom cron runs of evaluations against production traffic.
- 4Fully managed service, handling all infrastructure for trace ingestion, storage, and dashboards, eliminating user-managed servers.
- 5Managed evaluation LLM and embedding models, removing the requirement for users to provide external API keys.
- 6Auto-scaling capabilities to automatically manage traffic spikes and growing data volumes without manual capacity planning.
- 7API availability for programmatic interaction and integration into existing development workflows.
- 8Role-based access control and Single Sign-On (SSO) for enterprise-level security and team management.
use cases
Who Should Use PandaProbe Cloud?
PandaProbe Cloud is designed for various stakeholders involved in the development, deployment, and maintenance of AI agents, offering specific benefits tailored to their operational needs and technical requirements.
- 1AI engineers debugging agent behavior across LLMs, tools, and workflows, seeking to understand agent trajectories and identify issues.
- 2Platform teams monitoring quality and reliability of AI agents in production without incurring additional infrastructure management overhead.
- 3Builders experimenting with agents who require faster iteration cycles and production-grade observability from the initial stages of development.
- 4Startups aiming for robust, production-grade observability for their AI agents from day one, without significant operational investment.
pricing
PandaProbe Cloud Pricing & Plans
PandaProbe Cloud operates on a freemium model with tiered subscription plans, catering to individual hobbyists, small teams, scaling projects, and large enterprises. An open-source version of PandaProbe is also available for self-hosting core features without limitations.
- 1Hobby: Free forever, includes 100 base trace ingestions/month, 100 trace eval runs/month, 10 session eval runs/month, 1 seat, and community support via GitHub.
- 2Pro: $29/month, includes 5,000 base traces/month (then pay-as-you-go), 5,000 trace eval runs/month (then pay-as-you-go), 100 session eval runs/month (then pay-as-you-go), 2 seats, and email support.
- 3Startup: $299/month, includes 50,000 base traces/month (then pay-as-you-go), 50,000 trace eval runs/month (then pay-as-you-go), 1,000 session eval runs/month (then pay-as-you-go), 10 seats, high rate limits, a private Slack channel, and data retention management.
- 4Enterprise: Custom pricing, includes alternative hosting options (hybrid & self-hosted), custom SSO, access to a dedicated engineering team, support SLA, team trainings & architectural guidance, and unlimited seats.
competitors
PandaProbe Cloud vs Competitors
PandaProbe Cloud positions itself within the AI agent engineering landscape by offering a fully managed service that removes infrastructure overhead, contrasting with solutions that require self-hosting or offer more flexible infrastructure options. It competes with several platforms providing observability, tracing, and evaluation for LLM applications and AI agents.
1
LangSmith is a unified agent engineering platform providing comprehensive observability, evaluations, and prompt engineering specifically designed for any LLM application or AI agent.
Similar to PandaProbe Cloud, LangSmith offers full-stack tracing, real-time monitoring, and evaluation capabilities for production AI agents. While PandaProbe Cloud emphasizes being fully managed to eliminate infrastructure overhead, LangSmith offers both managed and self-hosted options for sensitive data.
2
Langfuse is an open-source AI engineering platform that provides deep insights into metrics, tracing, and evaluation for LLM systems and AI agents, with a focus on being self-hostable.
Langfuse, being open-source, offers a self-hostable solution for agent observability, tracing, and evaluation, which contrasts with PandaProbe Cloud's fully managed, infrastructure-free approach. Both aim to provide production-grade insights, but Langfuse gives teams more control over their infrastructure.
3
Braintrust is an evaluation-first AI agent observability platform that integrates comprehensive trace capture, automated scoring, and real-time monitoring with production feedback loops.
Braintrust directly competes with PandaProbe Cloud by offering a comprehensive, production-focused platform for AI agent observability and evaluation. Its strength lies in integrating evaluation directly into the observability workflow, providing a fast path from production issues to fixes, similar to PandaProbe Cloud's managed services for production-grade agents.
4
Galileo↗
Galileo is an AI agent reliability platform that combines real-time evaluations, automated failure detection, and runtime protection, utilizing purpose-built small language models (Luna-2) for cost-effective continuous evaluation.
Galileo offers a managed platform for AI agent observability and evaluation, similar to PandaProbe Cloud, with a unique differentiator in its use of specialized, cost-effective evaluation models. Both target production teams seeking to monitor and improve AI agent performance and reliability.
❓
Frequently Asked Questions
+What is PandaProbe Cloud?
PandaProbe Cloud is an AI agent engineering platform developed by Chirpz AI that enables AI engineers and teams to trace, evaluate, and monitor AI agents in production. It provides fully managed services to eliminate infrastructure overhead, allowing teams to ship better agents more efficiently.
+Is PandaProbe Cloud free?
Yes, PandaProbe Cloud offers a 'Hobby' plan that is free forever. This plan includes 100 base trace ingestions/month, 100 trace eval runs/month, 10 session eval runs/month, and 1 seat. Paid plans ('Pro', 'Startup', 'Enterprise') are available with increased limits and features.
+What are the main features of PandaProbe Cloud?
The main features of PandaProbe Cloud include full-stack agent tracing for lifecycle visibility, state-of-the-art agent evaluation with specific metrics and LLM-as-judge scoring, and continuous monitoring with scheduled evaluations. It operates as a fully managed service, handling all infrastructure, and includes managed evaluation LLM/embedding models, auto-scaling, and API access.
+Who should use PandaProbe Cloud?
PandaProbe Cloud is primarily intended for AI engineers debugging agent behavior, platform teams monitoring quality and reliability without additional infrastructure, builders experimenting with agents who need faster iteration, and startups seeking production-grade observability from day one.
+How does PandaProbe Cloud compare to alternatives?
PandaProbe Cloud differentiates itself by offering a fully managed service that eliminates infrastructure overhead, contrasting with platforms like Langfuse which is open-source and self-hostable. Compared to LangSmith, PandaProbe Cloud emphasizes its fully managed nature, while LangSmith offers both managed and self-hosted options. It competes with Braintrust and Galileo by providing comprehensive, production-focused AI agent observability and evaluation, with Galileo notably using specialized small language models for cost-effective evaluations.
More on Stork
Related AI Tools
Other tools in this category, ranked by community signal
Serve Robotics (sidewalk robots)
🤖 AI Tools
Serve Robotics focuses on sustainable, self-driving delivery solutions, aiming to optimize the delivery of small items like burritos using autonomous vehicles.
Terminal Mode by Even Realities
🤖 AI Tools
Even G2 Terminal allows users to monitor live AI coding sessions, approve actions, and guide agents directly from their coding glasses, ensuring continuous productivity.
Pass Quick Access
🤖 AI Tools
A native macOS quick-access window for Proton Pass. Press a hotkey from any app, search your logins, copy a username, password or one-time code. Plus an SSH agent that gates your Proton Pass SSH keys behind Touch ID. Keyboard-driven.
MagicBlocks
🤖 AI Tools
MagicBlocks is the AI that works every lead for mortgage, insurance, solar, home services, auto, and fintech. Replies in seconds. Qualifies on its own. Follows up until they're ready. Reactivates dormant leads.
GroundPound.ai
🤖 AI Tools
An army of AI agents. One coordinator: you. Generate a fully wired AI agent team for your business in minutes — coordinator, specialists, channels, knowledge base, all wired up before lunch.
Novu Connect
🤖 AI Tools
Novu is an open-source notification platform that empowers developers to create robust, multi-channel notifications for web and mobile apps. With powerful workflows, seamless integrations, and a flexible API-first approach, Novu enables product teams.
For builders
This page is doing a job for someone else’s tool.
AI agents read it. Buyers find it. Backlinks accrue. Your tool can have one too — live in 24 hours, indexed by Claude, ChatGPT, and Perplexity, queryable via MCP.