specification: FinOps Framework
specificationVersion: '1.0'
schema: https://www.finops.org/framework/
provider: Contextual AI
providerId: contextual-ai
created: '2026-06-20'
modified: '2026-06-20'
reconciled: false
tags:
- AI
- RAG
- LLM
- Grounded Language Model
- Enterprise
- FinOps
- Cost Management
- FOCUS
description: >-
  FinOps view of Contextual AI spend. The standalone Component APIs bill
  usage-based: Parse per 1,000 pages (basic vs. standard multimodal), Rerank
  per 1M tokens (v2 / v2-mini), Generate per 1M input and output tokens, and
  LMUnit per 1M input tokens. The full RAG agent platform (agents, datastores,
  query) is sales-led / contract-based and not publicly reconciled. New
  accounts receive $25 in free credits.
notes: >-
  Component API rates are public and captured on 2026-06-20; enterprise agent
  platform pricing is negotiated per contract. Verify rates against the pricing
  page during reconciliation.
sources:
- https://contextual.ai/platform/pricing/
- https://docs.contextual.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: Contextual AI
serviceCategory: AI and Machine Learning
billingModel:
  pricingCategory: Usage-Based
  billingFrequency: Monthly
  billingCurrency: USD
  chargeCategories:
  - Usage
  - Purchase
  - Adjustment
focusColumns:
  ServiceName: Contextual AI Platform
  ServiceCategory: AI and Machine Learning
  ProviderName: Contextual AI
  PublisherName: Contextual AI
  InvoiceIssuerName: Contextual AI
  BillingCurrency: USD
  ChargeCategory: Usage
  PricingCategory: Usage-Based
meters:
- name: parse_pages
  description: Pages parsed, billed per 1,000 pages (basic text-only vs. standard multimodal).
  unit: pages
  aggregation: sum
  dimensions:
  - account
  - parse_mode
- name: rerank_tokens
  description: Tokens reranked, billed per 1M tokens per reranker model (v2 / v2-mini).
  unit: tokens
  aggregation: sum
  dimensions:
  - account
  - model
- name: generate_input_tokens
  description: Input tokens to the Grounded Language Model, billed per 1M tokens.
  unit: tokens
  aggregation: sum
  dimensions:
  - account
  - model
- name: generate_output_tokens
  description: Output tokens from the Grounded Language Model, billed per 1M tokens.
  unit: tokens
  aggregation: sum
  dimensions:
  - account
  - model
- name: lmunit_input_tokens
  description: Input tokens to LMUnit evaluations, billed per 1M tokens.
  unit: tokens
  aggregation: sum
  dimensions:
  - account
- name: free_credits
  description: Promotional $25 free credits applied to new accounts as an adjustment.
  unit: usd
  aggregation: sum
  dimensions:
  - account
principles:
- name: Visibility
  description: Pull workspace billing exports; inspect parse pages, rerank/generate/lmunit token burn per API key.
- name: Allocation
  description: Tag API keys per workload/team; map agent and component usage to internal cost centers.
- name: Optimization
  description: Use Parse basic mode where multimodal is unnecessary; prefer rerank-v2-mini for cost-sensitive ranking; cap max_new_tokens; reuse parse results within the 30-day retention window.
- name: Accountability
  description: Assign owners per project/key; review token and page spend monthly against budget and free-credit burn-down.
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com