name: Parea AI FinOps
description: >-
  FinOps Framework FOCUS-aligned cost and usage guidance for Parea AI platform
  consumption. Covers subscription costs, log volume tracking, and LLM proxy
  pass-through costs for teams managing AI engineering budgets.
specificationVersion: '1.0'
url: https://www.parea.ai/#pricing
provider: Parea AI
currency: USD
billingModel: subscription
costCategories:
  - name: Platform Subscription
    description: Monthly subscription fee for access to the Parea AI platform.
    type: fixed
    plans:
      - plan: Free
        monthlyCost: 0
      - plan: Team
        monthlyCost: 150
      - plan: Enterprise
        monthlyCost: custom
  - name: Log Volume
    description: >-
      Cost allocation driven by the number of trace logs recorded per month.
      Exceeding plan log limits may require plan upgrade. Primary cost driver
      for high-volume production applications.
    type: consumption
    unit: logs
    tiers:
      - name: Free Tier
        limit: 3000
        overageCost: plan-upgrade-required
        plan: Free
      - name: Team Tier
        limit: 100000
        overageCost: plan-upgrade-required
        plan: Team
      - name: Enterprise Tier
        limit: custom
        overageCost: negotiated
        plan: Enterprise
  - name: LLM Provider Pass-Through
    description: >-
      When using the Parea LLM proxy gateway (POST /api/parea/v1/completion),
      underlying LLM provider costs (OpenAI, Anthropic, etc.) are billed
      directly by those providers and are not included in Parea subscription
      fees. Teams should budget separately for model token consumption.
    type: pass-through
    providers:
      - OpenAI
      - Anthropic
      - Other configured LLM providers
costOptimization:
  - recommendation: Start on Free plan during development
    description: >-
      Use the Free plan (3k logs/month) during development and testing phases
      to avoid subscription costs before production workloads are stable.
  - recommendation: Monitor log volume against plan limits
    description: >-
      Track monthly log consumption in the Parea dashboard to anticipate
      plan upgrade needs before hitting the 3k (Free) or 100k (Team) cap.
  - recommendation: Use LLM evaluation to reduce model costs
    description: >-
      Leverage Parea's evaluation and A/B testing capabilities to identify
      cheaper or smaller models that meet quality thresholds, reducing
      downstream LLM provider token costs.
  - recommendation: Leverage self-hosting for large deployments
    description: >-
      Enterprise teams with very high log volumes can reduce per-log costs
      by using Parea's self-hosting Docker option instead of the managed cloud.
  - recommendation: Use datasets to reduce redundant inference
    description: >-
      Build curated test datasets from production logs to run targeted
      evaluations rather than exhaustive inference-heavy test runs on
      every prompt change.
allocation:
  dimensions:
    - name: Project
      description: Allocate log costs by Parea project (project_uuid) to map usage to product features or teams.
    - name: Experiment
      description: Tag experiment runs to associate evaluation costs with specific model or prompt change initiatives.
    - name: Environment
      description: Distinguish production vs. staging log volumes using trace metadata to isolate operational costs.