Releases: Whatsonyourmind/oraclaw
Releases · Whatsonyourmind/oraclaw
OraClaw v1.0.1 — Decision Intelligence MCP Server
What's New
Billing & Monetization
- Self-service signup:
POST /api/v1/auth/signup— email to API key in one call - Stripe auto-provisioning of products, prices, and billing meters on boot
- Webhook auto-setup for subscription lifecycle events
- Usage
_metainjection in all API responses (tier, calls remaining, upgrade hints) - Updated pricing: $0.005/call, $9/mo Starter, $49/mo Growth, $199/mo Scale
Distribution
- Glama.ai listing: approved and live
- x402 switched to Base mainnet for real USDC payments
MCP Server (v1.0.1)
- 12 tools / 17 algorithms
- Install:
npx -y @oraclaw/mcp-server - All algorithms under 25ms, 14/17 under 1ms
- 1,076 tests passing
API Endpoints
17 algorithm endpoints at https://oraclaw-api.onrender.com/api/v1/
- Bandits, LP solver, Monte Carlo, Bayesian, graph analytics, CMA-ES, genetic algorithms, anomaly detection, forecasting, ensemble, scenario planning, pathfinding, convergence, calibration, risk analysis
OraClaw v2.3.0 -- 19 Algorithms, 12 MCP Tools, 14 npm Packages
OraClaw v2.3.0
Decision intelligence for AI agents. 19 algorithms, 12 MCP tools, sub-25ms. Zero LLM cost.
Highlights
- 19 algorithms covering optimization, simulation, prediction, detection, scoring, and planning
- 12 MCP tools for seamless AI agent integration (Claude Code, Cursor, Windsurf, etc.)
- 14 npm packages under
@oraclaw/*-- install only what you need - Live REST API at https://oraclaw-api.onrender.com -- no signup, no API key for free tier
- 1,072 tests passing with full benchmark suite
- Sub-25ms latency on all endpoints (14 of 17 under 1ms)
- USDC pay-per-call (x402) -- machine-to-machine payments on Base
Algorithm Suite
| Category | Algorithms |
|---|---|
| Optimization | Multi-Armed Bandit, Contextual Bandit (LinUCB), CMA-ES, Genetic Algorithm |
| Simulation | Monte Carlo, Scenario Planning |
| Solvers | Constraint Solver (LP/MIP/QP via HiGHS), Schedule Optimizer |
| Analysis | Decision Graph (PageRank, Louvain), Portfolio Risk (VaR/CVaR) |
| Prediction | Bayesian Inference, Ensemble Model, Time Series Forecast |
| Detection | Anomaly Detection (Z-Score, IQR) |
| Scoring | Convergence, Calibration |
| Planning | A* Pathfinding |
npm Packages
npm install @oraclaw/bandit # A/B testing with contextual bandits
npm install @oraclaw/solver # LP/MIP resource allocation
npm install @oraclaw/cmaes # Derivative-free optimization
npm install @oraclaw/graph # PageRank, community detection
npm install @oraclaw/forecast # ARIMA, Holt-Winters
npm install @oraclaw/anomaly # Z-score, IQR detection
npm install @oraclaw/risk # VaR, CVaR, stress testing
npm install @oraclaw/bayesian # Bayesian inference
npm install @oraclaw/simulate # Monte Carlo (6 distributions)
npm install @oraclaw/ensemble # Multi-model consensus
npm install @oraclaw/calibrate # Calibration scoring
npm install @oraclaw/evolve # Genetic algorithm (Pareto)
npm install @oraclaw/pathfind # A* pathfinding
npm install @oraclaw/decide # Full decision pipelineQuick Start
# No install needed -- hit the API directly
curl -X POST https://oraclaw-api.onrender.com/api/v1/optimize/bandit \
-H 'Content-Type: application/json' \
-d '{"arms": [{"id":"A","pulls":10,"totalReward":7},{"id":"B","pulls":2,"totalReward":1.8}], "algorithm":"ucb1"}'Links
- Live API: https://oraclaw-api.onrender.com
- npm: https://www.npmjs.com/org/oraclaw
- Docs: https://github.com/Whatsonyourmind/oraclaw#readme
- Discussions: https://github.com/Whatsonyourmind/oraclaw/discussions
Architecture
Fastify 5 + TypeScript (strict) | Expo 55 + React Native | PostgreSQL (Supabase) | Turborepo monorepo
Built on the OODA loop: Observe -> Orient -> Decide -> Act