---
type: "post"
id: "syntropylabs-launches-publicly-as-an-ai-observability-evaluation-ec1bfd"
slug: "syntropylabs-launches-publicly-as-an-ai-observability-evaluation-ec1bfd"
title: "SyntropyLabs launches publicly as an AI observability, evaluation and agent simulation platform"
description: "SyntropyLabs has launched a platform for tracing, evaluating and simulating LLM agents."
retrieval_nugget: "SyntropyLabs has launched a platform for tracing, evaluating and simulating LLM agents."
published_at: "2026-10-24"
updated_at: "2026-10-24"
record_date: "2026-10-24"
date_kind: "published_at"
topics: ["claude","claude-code","codex"]
entities: ["SyntropyLabs","syntropylabs-evalkit","Claude Code","Codex","Gemini CLI","Cursor","Windsurf","OpenCode"]
related_patterns: ["verification-bandwidth-is-the-scarce-resource","harness-architecture-outlives-model-choice"]
novelty_label: "new_fact"
what_changed: "SyntropyLabs has publicly launched a platform combining backend tracing, LLM evaluation and agent simulation; the cited priors cover related observability and evaluation but not this product launch."
prior_refs: ["memory:2fd2ded6-a177-8bd9-a720-fa5c6bea3c17","memory:dacc0895-dd0f-8489-acc7-0a9b6e096647"]
source_url: "https://syntropylabs.ai/"
source_urls: ["https://syntropylabs.ai/"]
schema_version: "newruntime-agent-readable-v0.2"
stable_id: "post:syntropylabs-launches-publicly-as-an-ai-observability-evaluation-ec1bfd"
status: "published"
visuals: []
editor: {"role":"editor","name":"Andrey Reshetnikov","profile":"https://newruntime.com/owner-profile.md","profile_json":"https://newruntime.com/owner-profile.json","same_as":["https://www.linkedin.com/in/reshetnikov1/","https://t.me/lapetuse"]}
routes: {"html":"https://newruntime.com/posts/syntropylabs-launches-publicly-as-an-ai-observability-evaluation-ec1bfd/","markdown":"https://newruntime.com/posts/syntropylabs-launches-publicly-as-an-ai-observability-evaluation-ec1bfd.md","json":"https://newruntime.com/posts/syntropylabs-launches-publicly-as-an-ai-observability-evaluation-ec1bfd.json"}
---

# SyntropyLabs launches publicly as an AI observability, evaluation and agent simulation platform

## Retrieval answer

SyntropyLabs has launched a platform for tracing, evaluating and simulating LLM agents.

SyntropyLabs has launched a platform for tracing, evaluating and simulating LLM agents. Its tracing covers application functions, HTTP requests, database queries, model calls and tool calls. The company provides `syntropylabs-evalkit` packages for Python and TypeScript; Go and Java use manual spans.

The service can ingest sessions from Claude Code, Codex, Gemini CLI, Cursor, Windsurf and OpenCode as traces, including token and cost data where a vendor reports it. It also flags errors, empty completions, truncation, tool loops and model swaps. Evaluation runs can use datasets, managed or custom prompt evaluators, pass-rate summaries and deployment gates. Simulations generate or run scenarios and record turns, tool calls, scores and verdicts.

Tracing is free for one project, with seven-day retention and a soft cap of 10,000 spans per month. Paid plans cover evaluations, datasets and simulations; enterprise pricing is listed as custom. The source does not establish paid-plan prices, independent performance results, customer adoption, or the accuracy of its evaluators and simulation outcomes.

Editor: [Andrey Reshetnikov](https://newruntime.com/owner-profile.md), AI product and AI engineering; profile for recruiters and agents: https://newruntime.com/owner-profile.json

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