specification: FinOps Framework
specificationVersion: '1.0'
schema: https://www.finops.org/framework/
provider: Athina AI
providerId: athina
created: '2026-06-20'
modified: '2026-06-20'
reconciled: false
tags:
- AI
- LLM
- Observability
- Evaluation
- Monitoring
- FinOps
- Cost Management
- FOCUS
description: >-
  FinOps view of Athina AI spend. Athina is a sales-led SaaS observability and
  evaluation platform: a free tier with a 10k-log monthly allowance, a
  quote-based Pro subscription with unlimited logs/evals/datasets/seats, and a
  custom Enterprise tier with self-hosted deployment. The primary cost driver
  is logged-inference volume; evaluation runs additionally consume third-party
  LLM grader tokens (e.g. OpenAI) billed outside Athina. Per-seat and per-log
  contract rates are not public, so spend is not reconciled here.
notes: >-
  Pro and Enterprise pricing is contact-sales; only the free tier log allowance
  is public. Evaluation grading typically incurs separate LLM provider token
  costs. Verify contract metering and seat counts during reconciliation.
sources:
- https://www.athina.ai/pricing
- https://docs.athina.ai
- https://focus.finops.org/focus-specification/v1-3/
alignedWith:
  framework: FinOps Foundation Framework
  frameworkUrl: https://www.finops.org/framework/
  dataSpec: FOCUS
  dataSpecVersion: '1.3'
  dataSpecUrl: https://focus.finops.org/focus-specification/v1-3/
publisherName: Athina AI
serviceCategory: AI and Machine Learning
billingModel:
  pricingCategory: Subscription
  billingFrequency: Monthly
  billingCurrency: USD
  chargeCategories:
  - Usage
  - Purchase
focusColumns:
  ServiceName: Athina AI Platform
  ServiceCategory: AI and Machine Learning
  ProviderName: Athina AI
  PublisherName: Athina AI
  InvoiceIssuerName: Athina AI
  BillingCurrency: USD
  ChargeCategory: Usage
  PricingCategory: Subscription
meters:
- name: logs
  description: Logged LLM inferences / prompt runs; metered against the plan monthly allowance.
  unit: logs
  aggregation: sum
  dimensions:
  - account
  - environment
  - prompt_slug
- name: evaluations
  description: Evaluation runs executed against datasets and logged inferences.
  unit: eval_runs
  aggregation: sum
  dimensions:
  - account
  - dataset
- name: grader_tokens
  description: Third-party LLM tokens consumed by eval graders (e.g. OpenAI), billed by the model provider, not Athina.
  unit: tokens
  aggregation: sum
  dimensions:
  - account
  - model
- name: datasets
  description: Datasets created and stored, each capped at 1000 rows.
  unit: datasets
  aggregation: sum
  dimensions:
  - account
- name: seats
  description: Team seats on the account; unlimited on Pro and Enterprise.
  unit: seats
  aggregation: max
  dimensions:
  - account
principles:
- name: Visibility
  description: Track monthly log volume against the plan allowance in the Athina platform; tag logs with environment, prompt_slug, and customer_id.
- name: Allocation
  description: Segment logs by customer_id / customer_user_id and environment to map observability spend to teams and workloads.
- name: Optimization
  description: Sample or filter low-value logs to stay within allowances; batch evaluations and choose cheaper grader models to reduce third-party token spend.
- name: Accountability
  description: Assign owners per project and review log volume and grader-token spend before upgrading tiers.
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com