Commercial
Documentation Entry
Technical and Commercial guidelines for ABS Core.
Unit Economics and Infrastructure Costs
Commercial / Operational Document - v10.1.5
One of the biggest risks in AI projects is the "overhead" cost of governance. ABS Core was optimized to be a nearly invisible layer in terms of cost.
1. Execution Costs (Unit Economics)
ABS Core v10.1.5 operates primarily on Cloudflare Workers or Local Docker.
| Component | Estimated Cost (per 1M req) | Note |
|---|---|---|
| Worker Execution | ~$0.50 | Cloudflare Paid Plan (Standard). |
| D1 / SQLite (Ledger) | Based on R/W | Optimized via Batch Writes. |
| KV (Session Cache) | ~$0.50 | High cache hit rate. |
Total Est. Governance: <$1.50 per million events. This represents a negligible overhead compared to the cost of LLM tokens (OpenAI/Anthropic).
2. Vendor Lock-in
- Engine: The Kernel is in TypeScript + WASM, provider agnostic.
- Database: Supports SQLite (local) and D1 (Cloudflare). Migration between them is native via Infrastructure Adapter.
- Cloud: Though optimized for Cloudflare, the Dockerized code enables full portability to AWS Lambda or On-premise.
3. Scalability
- Horizontal: Auto-scalable by nature (Serverless/Docker).
- Latency: 4.2ms additional per request (negligible for human UX).
Conclusion: ABS Core is financially sustainable and technically portable, creating no surprise cost "traps" for the buyer.