A sophisticated pricing engine for AI compute sales that automates multi-tiered discount calculations for high-end GPUs.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install pans-pricing-engine
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install pans-pricing-engine using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is pans-pricing-engine?
pans-pricing-engine is a specialized utility built to streamline the financial quoting process for AI infrastructure. By leveraging this tool within Openclaw Skills, users can programmatically determine pricing for high-demand hardware like NVIDIA H100 and A100 GPUs based on complex variables such as volume, contract length, and prepayment schedules.
The engine is designed for sales teams and developers who need to provide rapid, accurate, and competitive pricing models. It synthesizes multiple discount layers into a single, cohesive quote, ensuring that large-scale AI compute procurement is handled with precision and speed through the Openclaw Skills ecosystem.
pans-pricing-engine Use Cases
- Automating sales quotes for AI compute providers.
- Comparing different GPU procurement scenarios (e.g., short-term vs. long-term contracts).
- Calculating multi-factor discounts for large-scale GPU clusters.
- Integrating automated pricing logic into broader AI infrastructure workflows via Openclaw Skills.
How pans-pricing-engine Works
- The user specifies the target hardware (e.g., H100, A100 80GB) and quantity requirements.
- The engine identifies the base price and applies quantity-based discounts (up to 20%).
- Duration-based discounts are calculated based on the contract length (12, 24, or 36 months).
- Prepayment incentives are factored in based on quarterly, bi-annual, or annual payment terms.
- The Openclaw Skills interface returns a compounded final price or a detailed JSON comparison of different scenarios.
pans-pricing-engine Setup
To get started with pans-pricing-engine, ensure you have the environment configured for Openclaw Skills. Run the following commands to interact with the engine:
# List all supported GPU base prices
python3 scripts/pricing.py --list
# Generate a quote for 100 H100 GPUs with a 2-year contract and annual prepayment
python3 scripts/pricing.py --gpu H100 --count 100 --duration 24 --prepay year
pans-pricing-engine Data Schema & Taxonomy
The pricing engine organizes data through a hierarchical discount matrix applied to base GPU rates:
| Dimension | Tier/Condition | Discount Rate |
|---|---|---|
| Quantity | 10-50 units | 5% |
| Quantity | 51-100 units | 10% |
| Quantity | 101-500 units | 15% |
| Quantity | 500+ units | 20% |
| Duration | 12+ Months | 5% |
| Duration | 24+ Months | 10% |
| Duration | 36+ Months | 15% |
| Prepayment | Quarterly | 3% |
| Prepayment | Half-Year | 5% |
| Prepayment | Yearly | 10% |
All output can be exported as a JSON object for integration with external CRM or billing systems.
pans-pricing-engine Advanced Features
- Compounding Discount Logic: Supports triple-layered discounts that can exceed a total reduction of 40%.
- Multi-Scenario Comparison: Run the
--compareflag to evaluate multiple procurement strategies side-by-side within Openclaw Skills. - Specific Hardware Support: Native pricing logic for H100, A100 (80GB/40GB), L40S, and A10G GPUs.
- Programmatic JSON Output: Facilitates automated document generation and API-based integrations.
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