specification: FinOps Framework
specificationVersion: '1.0'
schema: https://www.finops.org/framework/
provider: Hamming AI
providerId: hamming-ai
created: '2026-06-21'
modified: '2026-06-21'
reconciled: false
tags:
- AI
- Voice Agents
- LLM
- Testing
- Evaluation
- Observability
- FinOps
- Cost Management
- FOCUS
description: >-
  FinOps view of Hamming AI spend. Hamming sells voice/LLM agent testing,
  evaluation, and observability through volume-based, sales-led plans rather
  than published per-unit rates. Cost drivers are primarily voice/call test
  volume (number and concurrency of simulated calls), experiment/evaluation
  runs, and production monitoring volume. Per-unit prices are not published, so
  this artifact is not reconciled.
notes: >-
  No public price list exists; map spend to the negotiated plan. Verify the
  billable units (calls, test runs, monitored calls, seats) and rates with
  Hamming during reconciliation.
sources:
- https://hamming.ai/
- https://docs.hamming.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: Hamming AI
serviceCategory: AI and Machine Learning
billingModel:
  pricingCategory: Subscription-Based
  billingFrequency: Monthly
  billingCurrency: USD
  chargeCategories:
  - Usage
  - Purchase
focusColumns:
  ServiceName: Hamming AI
  ServiceCategory: AI and Machine Learning
  ProviderName: Hamming AI
  PublisherName: Hamming AI
  InvoiceIssuerName: Hamming AI
  BillingCurrency: USD
  ChargeCategory: Usage
  PricingCategory: Subscription-Based
meters:
- name: voice_test_calls
  description: Simulated voice/call test calls placed against agents during test runs.
  unit: calls
  aggregation: sum
  dimensions:
  - account
  - agent
  - experiment
- name: experiment_runs
  description: Experiment / evaluation runs executed over datasets.
  unit: runs
  aggregation: sum
  dimensions:
  - account
  - dataset
- name: evaluation_items
  description: Experiment items (per dataset item) evaluated and scored.
  unit: items
  aggregation: sum
  dimensions:
  - account
  - experiment
- name: monitored_calls
  description: Production call logs ingested for monitoring and scoring.
  unit: calls
  aggregation: sum
  dimensions:
  - account
  - agent
- name: traces
  description: Trace events ingested from instrumented agents.
  unit: traces
  aggregation: sum
  dimensions:
  - account
  - agent
principles:
- name: Visibility
  description: Track voice test-call volume, experiment runs, and monitored-call volume against the plan's included amounts.
- name: Allocation
  description: Tag experiments and API keys per agent/team to map spend to internal cost centers.
- name: Optimization
  description: Scope datasets to high-value scenarios, reuse golden datasets, and right-size concurrency for load tests to control cost.
- name: Accountability
  description: Assign owners per agent/project; review test-run and monitoring volume against the negotiated plan.
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com