Tech riderRev. 2 Oct 2026

Parea AI

1Runs onAPI, self-hosted, Web
2CostsFree plan · paid from $150/mo

2 lines stated Written from the maker's own pages: parea.ai

Overview

Parea AI is ranked #7 of 29 in LLM evaluation tools on Specifiction. It runs on API, Self-hosted, Web. There is a free plan. Paid plans start at $150/mo.

Parea AI plans and pricing

All plans

Free Free $0 / month Max. 2 team members · 3k logs / month (1 mon retention) · 10 deployed prompts · Discord community parea.ai · 2 Oct 2026

Team $150/mo $150 / month 3 members ($50 / month per add'l. member up to 20) · 100k logs / month incl. ($0.001 / extra log) · 3 month data retention, (6/12 mon upgrade) · Unlimited projects · 100 deployed prompts · Private Slack channel parea.ai · 2 Oct 2026

Enterprise Not published Custom On-prem/self-hosting · Support SLAs · Unlimited logs · Unlimited deployed prompts · SSO enforcement and custom roles parea.ai · 2 Oct 2026

AI Consulting Not published Custom Rapid Prototyping & Research · Building domain-specific evals · Optimizing RAG pipelines · Upskilling your team on LLMs parea.ai · 2 Oct 2026

Compared on LLM evaluation tools

Free plan: Yesparea.ai

Facts

Product: Parea describes itself as a platform for experiment tracking, observability, and human annotation to help teams ship LLM applications to production.parea.ai · 2 Oct 2026
Evaluation: Its evaluation tools test and track performance over time, help debug failures, and compare sample or model changes.parea.ai · 2 Oct 2026
Human review: Users can collect feedback from end users, subject matter experts, and product teams, then comment on, annotate, and label logs for Q&A and fine-tuning.parea.ai · 2 Oct 2026
Prompt tools: The Prompt Playground lets users test multiple prompts on samples and large datasets, then deploy prompts to production.parea.ai · 2 Oct 2026
Observability: Parea says it can log production and staging data, run online evaluations, capture user feedback, and track cost, latency, and quality.parea.ai · 2 Oct 2026
Datasets: The product can incorporate staging and production logs into test datasets and use them to fine-tune models.parea.ai · 2 Oct 2026
SDKs and integrations: The homepage lists Python and JavaScript/TypeScript SDKs and integrations including OpenAI, Anthropic, LangChain, Instructor, DSPy, LiteLLM, Maven, SGLang, and Trigger.dev.parea.ai · 2 Oct 2026
LiteLLM integration: Parea's LiteLLM guide explains how to wrap an OpenAI client to trace calls routed through LiteLLM and view their traces in the logs dashboard.docs.parea.ai · 2 Oct 2026
Self-hosting: Parea documents on-premise deployment through Docker, with frontend and backend services run in the customer's environment.docs.parea.ai · 2 Oct 2026
Enterprise limits and support: The Enterprise plan lists custom roles, SSO enforcement, unlimited logs and deployed prompts, on-premise or self-hosting, and support SLAs.parea.ai · 2 Oct 2026
Free-tier limits: The Free plan lists a maximum of two team members, 3k logs per month with one-month retention, and 10 deployed prompts.parea.ai · 2 Oct 2026
Intended users: Parea's homepage describes the product as serving teams building production-ready LLM applications.parea.ai · 2 Oct 2026