💡 Summary
Truth Terminal is a prediction research workstation designed for timing arbitrage on Polymarket.
🎯 Target Audience
🤖 AI Roast: “Powerful, but the setup might scare off the impatient.”
Risk: Medium. Review: shell/CLI command execution; outbound network access (SSRF, data egress); dependency pinning and supply-chain risk. Run with least privilege and audit before enabling in production.
Truth Terminal
Truth Terminal is a prediction research workstation for timing arbitrage on Polymarket.
The Vision
The fundamental question it answers:
“I believe X will happen, but the market prices in uncertainty about when. How do I time my entry to maximize returns?”
This is not HFT. The edge is:
- Better prediction of when information arrives
- Better modeling of how repricing unfolds over time
- Disciplined execution via precommitted rules
We’re building five core capabilities, in order:
- Watchlist + Conviction Tracker (structured theses + edge vs market)
- Polymarket Order Book (liquidity/spread/depth/slippage)
- Information Calendar (when will new info arrive that moves watched markets?)
- Entry Rule Engine (precommitted IF/THEN rules; alerts first)
- Portfolio Dashboard (positions + P&L + concentration/time-to-resolution)
Current Status
What works today:
- Bloomberg-vibes local UI with windows/workspaces/persistence (
web/,src/ui/server.ts) - Tool registry + agent tool-calling (agent can fetch live data sources on-demand;
GET /api/tools) - Research agent that can produce structured cases and transcripts (
src/agents/,data/cases/,data/transcripts/) - Manipulation detection (trade stream → enrichment → detection report) (
src/manipulation/,data/manipulation.db) - Local SQLite persistence for core subsystems (
data/*.db)
What’s missing (roadmap work):
- Workflow refinements: conviction editor, case→conviction linking, real-time edge refresh, richer portfolio analytics
- Window-targeted outputs (tool routing) + more data tools
- Unified server→UI event streaming (event bus)
- Provider hardening (rate limits/retries/fallbacks)
Quick Start
npm install cp .env.example .env # Add your API keys to .env: # ANTHROPIC_API_KEY=sk-ant-... # GROK_API_KEY=xai-... # or XAI_API_KEY
Commands
# UI (Bloomberg-vibes) npm run ui # open http://127.0.0.1:7777 # CLI (REPL) npm run tt npm run tt -- --eval "help" # Test individual components npm run test:grok "Russia Ukraine ceasefire" npm run test:youtube <video-id> # Research npm run phase0:list # List top markets npm run phase0 516719 # Claude-only research npm run research 516719 # Grok+Claude pipeline npm run research:quick 516719 # Faster npm run research:agentic 516719 # Tool-using agent (transcripts + scratchpad) # Manipulation detection (Polymarket) npm run stream npm run stream:enrich npm run stream:detect npm run stream:stats
Architecture
Truth Terminal is a local UI + a thin command surface + a set of subsystems:
- UI layer:
src/ui/server.ts+web/(windows/workspaces; localhost-only) - Command surface:
src/core/(parsing + command registry used by/api/execand CLI) - Research system:
src/agents/,src/db/,data/truth-terminal.db - Manipulation detection:
src/manipulation/,data/manipulation.db - Execution simulator (local):
src/execution/,data/execution.db
Project Structure
src/
├── agents/
│ ├── claude.ts # Claude SDK, basic research
│ ├── grok.ts # Grok Live Search (X + web + news)
│ ├── youtube.ts # YouTube transcript extraction
│ └── research.ts # Multi-source research orchestrator
│ └── agentic-research.ts # Tool-using agent (logs + scratchpad)
├── tools/ # Provider-agnostic tools (JSONSchema params → structured data)
├── polymarket/
│ └── client.ts # Polymarket API client
├── manipulation/ # Polymarket manipulation detection
├── execution/ # Local execution simulator
├── ui/ # UI server
├── core/ # Command parsing/registry
├── db/
│ └── index.ts # SQLite for cases, decisions, trades
├── types/
│ └── market.ts # Type definitions
├── phase0.ts # Basic single-source research
├── test-grok.ts # Grok integration test
├── test-youtube.ts # YouTube transcript test
└── test-research.ts # Full pipeline test
web/ # UI (HTML/CSS/JS)
Intel Sources
| Source | Status | Cost | What it provides | |--------|--------|------|------------------| | Polymarket APIs | ✅ | Free | Markets (Gamma), trades (Data API), order books (CLOB) | | Grok Live Search | ✅ | $25/1k sources | Twitter/X + web + news | | GDELT | ✅ | Free | News headlines | | CoinGecko | ✅ | Free | Crypto spot prices/24h change | | YouTube Transcripts | ✅ | Free | Video content analysis | | Claude Sonnet | ✅ | API pricing | Analysis and synthesis | | Nasdaq (delayed) | ✅ | Free | US stock quotes + candles |
Research Case Output
Each research case includes:
{ "thesis": "Clear statement of position and reasoning", "edge": "What the market is missing", "recommendedPosition": "Yes/No/None", "confidence": "low/medium/high", "keyUncertainties": ["list", "of", "risks"], "whatWouldChangeAssessment": "Specific conditions", "sources": ["citations from Grok/web"], "twitterSignal": "bullish/bearish/neutral", "newsSignal": "bullish/bearish/neutral" }
Data Storage
- Research:
data/truth-terminal.db,data/cases/,data/transcripts/,data/scratchpads/ - Manipulation:
data/manipulation.db - Execution (sim):
data/execution.db
Development Roadmap
- [x] UI shell (windows/workspaces) + local server
- [x] Research agent + cases/transcripts
- [x] Manipulation detection (stream/enrich/detect)
- [x] Watchlist + conviction tracker (v1: schema + CRUD + UI)
- [x] Polymarket order book window (v1: CLOB depth + slippage)
- [x] Information calendar (v1: events CRUD + UI)
- [x] Entry rule engine (v1: alerts-only)
- [x] Portfolio dashboard (v1: positions CRUD + P&L)
- [x] Agent upgrade (tool registry + tool-calling)
- [ ] Agent upgrade (window targeting, durable memory)
- [ ] Event bus (server→UI streaming) + provider hardening
API Costs
Rough estimates per research case:
- Claude Sonnet: ~$0.02-0.05
- Grok Live Search: ~$0.10-0.50 (depends on sources)
- YouTube: Free
- Polymarket: Free
Resources
Pros
- Comprehensive prediction tools
- Local UI for ease of use
- Integration with multiple data sources
- Structured research outputs
Cons
- Requires API keys for full functionality
- Local setup may be complex for beginners
- Limited to Polymarket data
- Still in development with missing features
Related Skills
pytorch
S“It's the Swiss Army knife of deep learning, but good luck figuring out which of the 47 installation methods is the one that won't break your system.”
agno
S“It promises to be the Kubernetes for agents, but let's see if developers have the patience to learn yet another orchestration layer.”
nuxt-skills
S“It's essentially a well-organized cheat sheet that turns your AI assistant into a Nuxt framework parrot.”
Disclaimer: This content is sourced from GitHub open source projects for display and rating purposes only.
Copyright belongs to the original author captaindpt.
