specification: FinOps Framework
specificationVersion: '1.0'
schema: https://www.finops.org/framework/
provider: V7
providerId: v7-labs
created: '2026-06-21'
modified: '2026-06-21'
reconciled: false
tags:
- AI
- Training Data
- Data Labeling
- Annotation
- Document AI
- Computer Vision
- FinOps
- Cost Management
- FOCUS
description: >-
  FinOps view of V7 spend. V7 bills its Darwin training-data platform and V7 Go
  document-automation platform through sales-led annual contracts combining
  per-seat subscription, annotation/automation usage, automated model and agent
  runs, and AI token consumption. Public per-unit rates are not published, so
  the meters below describe cost dimensions rather than reconciled prices.
notes: >-
  V7 does not publish a transparent public price list for the API; per-unit
  rates and invoice structure must be confirmed with V7 sales/finance during
  reconciliation.
sources:
- https://www.v7labs.com/pricing
- https://docs.v7labs.com
- 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: V7
serviceCategory: AI and Machine Learning
billingModel:
  pricingCategory: Subscription + Usage-Based
  billingFrequency: Annual
  billingCurrency: USD
  chargeCategories:
  - Usage
  - Purchase
  - Adjustment
focusColumns:
  ServiceName: V7 Darwin
  ServiceCategory: AI and Machine Learning
  ProviderName: V7
  PublisherName: V7
  InvoiceIssuerName: V7
  BillingCurrency: USD
  ChargeCategory: Usage
  PricingCategory: Subscription + Usage-Based
meters:
- name: seats
  description: Active user seats on Darwin / V7 Go, billed per seat under the subscription.
  unit: seats
  aggregation: max
  dimensions:
  - team
  - workspace
- name: items_annotated
  description: Dataset items registered and annotated, a key volume driver for annotation contracts.
  unit: items
  aggregation: sum
  dimensions:
  - team
  - dataset
- name: automated_model_runs
  description: Automated model / AI annotation runs executed against items.
  unit: runs
  aggregation: sum
  dimensions:
  - team
  - workflow
- name: agent_runs
  description: V7 Go agent/entity processing runs over documents.
  unit: runs
  aggregation: sum
  dimensions:
  - workspace
  - project
- name: ai_tokens
  description: AI/LLM token consumption for model-backed extraction and automation.
  unit: tokens
  aggregation: sum
  dimensions:
  - workspace
  - project
- name: exports
  description: Dataset export (release) generation jobs producing downloadable training data.
  unit: jobs
  aggregation: sum
  dimensions:
  - team
  - dataset
principles:
- name: Visibility
  description: Track seats, annotated item volume, automated/agent runs, and token usage per team and project against the contract.
- name: Allocation
  description: Scope API keys per workload/team and tag datasets, workflows, and projects to internal cost centers.
- name: Optimization
  description: Use automated model runs and exports judiciously, batch registrations, and reserve human review for items that need it.
- name: Accountability
  description: Assign owners per dataset/workspace and review annotation and automation spend against the annual commitment.
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com