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kaizen-agentic/wiki/PricingModel.md
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docs: forward-deployed agency model, architecture, and WP-0009 
Add Kai trial-currency business model and engagement architecture
(request → bound agent → ramp-up/down, client vault). Register workplan
KAIZEN-WP-0009 for host-operator@railiance01 pilot and CLI/ledger phases.
2026-07-16 10:28:58 +02:00

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PricingModel

Pricing for Kaizen agents

KaizenAgentic Pricing Model

1. Base Assumption

  • Token Cost (C): The unit price per token for the underlying foundation model (e.g., OpenAI GPT-4o, Anthropic Claude, etc.).
  • KaizenAgentic charges are always calculated as a multiple of this base token cost.

2. Capability Multipliers

Each subagent is classified by its capability tier, which reflects complexity, optimization overhead, and real-world utility.

Tier Agent Capability Multiplier (x) Example Use Case
1x Baseline wrapper agent 1× Simple automation around base LLM calls
2x Enhanced agent 2× Adds logging, minimal optimization, lightweight feedback loops
3x Professional agent 3× Integrated metrics, test coverage deltas, developer UX signals
4x Expert agent 4× Adaptive refinement, A/B testing, rollback mechanisms
5x KaizenAgent premium 5× Full meta-optimization loop, cross-subagent orchestration

3. Pricing Formula

\text{KaizenAgentic Price per Token} = C \times M

Where:

  • C = cost per token of the underlying LLM
  • M = capability multiplier (2x–5x)

Example:

  • GPT-4o base token = $0.01 / 1K tokens
  • KaizenAgent Premium (5x) = $0.05 / 1K tokens

4. Service Tiers

On top of token-based billing, KaizenAgentic can introduce subscription layers to cover operational support:

  • Free Tier → 1x baseline agents, capped usage, no optimization feedback.
  • Pro Tier → 2x–3x agents, includes monitoring dashboards.
  • Enterprise Tier → 4x–5x agents, includes dedicated KaizenAgent meta-optimization + SLAs.

5. Value Rationale

  • Fair: Always anchored in base token price (transparent to clients).
  • Scalable: Higher capability → higher multiplier → more value.
  • Predictable: Clients can forecast spend by capability tier, independent of vendor-specific LLM pricing changes.
  • Flexible: Basemodel transparent to avoid basemodel lockin supporting various providers (ChatGPT, Claude, Cursor, etc.).

6. Engagement packaging (forward-deployed agency)

Capability multipliers (M) remain the tier engine for Role products. For staffed engagements (seats, duty sessions, ramp-up/down, trial currency Kai, and conversion to EUR), see:

Token formula C × M still applies when vendor tokens are pass-through; engagement pricing adds seat + duty + access-class so value is not only token volume.