What is an Agent?
An agent is a specialist module that knows how to fetch and interpret one type of market data. Instead of relying on a single general-purpose AI, ClearView deploys the right combination of specialists for every question you ask. Each agent:- Connects to a specific data source (Binance, EODHD, FRED, DefiLlama)
- Fetches real, verified data in real-time
- Structures the data for analysis
- Returns results with full source attribution
How the Pipeline Works
When you send a question, ClearView follows a consistent 4-step process:AI Planner analyzes your question
A planning model reads your question and decides which agents are needed. You can see this reasoning in the “Plan” block at the top of every response.
Agents fetch data in parallel
The selected agents run simultaneously, each pulling data from their respective sources. Complex questions may invoke 3-4 agents at once with no added wait time.
AI synthesizes a response
A synthesis model reads all the agent data and writes a coherent analysis. It can only reference data the agents actually returned — it cannot generate numbers from memory.
The 9 Agents
Agents are organized into three groups based on their role in the analysis pipeline.Crypto Data Agents
These agents fetch raw market data from crypto-native sources.| Agent | Specialty | Data Source |
|---|---|---|
| Derivatives | Funding rates, open interest, long/short positioning, taker buy/sell volume | Binance Futures |
| Macro | Cross-asset prices (BTC, ETH, SPX, VIX, DXY), stablecoin supply | Binance + EODHD + DefiLlama |
| Signals | Long/short positioning ratios across multiple pairs | Binance Futures |
| On-Chain | Blockchain metrics (MVRV, NUPL, SOPR, whale activity) | Currently being rebuilt on BigQuery |
TradFi Data Agent
| Agent | Specialty | Data Source |
|---|---|---|
| TradFi | Stock prices, company fundamentals, economic/earnings calendar, forex, yield curve, FRED macro indicators | EODHD + FRED + Finnhub |
Analysis Agents
These agents interpret data using structured analytical frameworks. They compute exact numbers and produce charts.| Agent | Specialty | What It Does |
|---|---|---|
| Technical | Technical analysis (RSI, MACD, Bollinger, ADX, ATR) | Applies a 5-layer epistemic framework where the market regime (trending vs. ranging) conditions how every indicator is interpreted |
| Advisor | Financial advisory (deep dives, scanner, portfolio) | Comprehensive company analysis with 8 sections, natural-language market screening, multi-position portfolio review |
| Quantitative | Statistical analysis | Return distributions, seasonality patterns, range compression detection, volatility regime classification — all computed with pandas/numpy |
| Structure | Market structure (P1/P2) | Directional bias from temporal order of price extremes, multi-timeframe fractal alignment, flip risk assessment |
Key Principles
You don't pick agents
The AI planner figures out which agents to use based on your question. Just ask naturally.
Multiple agents run in parallel
Complex questions invoke several agents simultaneously. “How does BTC look?” triggers Technical + Derivatives + Signals + Macro at the same time.
Every data point is attributed
The Sources section at the bottom of every response shows exactly which API endpoints provided each piece of data.
Failures are transparent
If an agent cannot fetch data (API down, invalid ticker, etc.), the response tells you explicitly. You will never receive silently fabricated data.
The On-Chain agent is temporarily unavailable while blockchain metrics are being migrated to a new infrastructure (BigQuery). Queries about on-chain data will return a clear status message rather than stale data.