What the world feels, before the markets react.
Sentiment moves first. Price is always the last to know. Guavy scores six dimensions of market mood across crypto, forex, and commodities, delivered to apps, funds, and AI agents over REST and native MCP.
// Coverage
One data layer. Every market.
Structured, real-time sentiment intelligence across every major asset class. Crypto, forex, and commodities are live today; stocks are next. The same API and MCP surface across every market.
Crypto
LiveSentiment, trade signals, curated news, and 4+ years of trend history across 300+ crypto assets.
Explore crypto dataForex
LiveReal-time sentiment, scores, and news on the major currencies, EUR, GBP, JPY, and the other majors.
Explore forex dataCommodities
LiveReal-time sentiment, scores, and news across energy, metals, and agriculture, Oil, Gold, Copper and more.
Explore commodities dataStocks
Coming soonEquities coverage with sentiment, scores, and news for funds and apps.
Learn more// The data layer
Everything an agent needs to reason about a market
The building blocks for trading bots, predictive models, research agents, and market apps, delivered via a single, high-performance API.
Sentiment analysis
Market mood scored across six dimensions: Sentiment, Clout, Speculation, FUD/FOMO, Confidence, and Tone. Structured signal, not a single bullish-or-bearish guess.
Curated news
Get real-time content with enhanced metadata including briefs, summaries, clout, sentiment and relevancy scores.
Trend signals & backtests
Traditional technical analysis fused with AI models to flag trend changes, plus multi-factor scores and 4+ years of backtests to validate before you ship.
// Build vs. buy
Don't build the data layer. Build on it.
Every agent runs on the same frontier models; the data it reasons over is the moat. Reproducing real-time market sentiment in-house means scrapers, scoring models, news enrichment, and backtest infrastructure, maintained forever, in every market. Guavy is that entire layer behind one API key.
Build it in-house
Your roadmap- Stand up and babysit scrapers and data pipelines across dozens of sources.
- Train, tune, and continuously re-validate sentiment models across six dimensions.
- Enrich and score news in real-time for clout, relevance, and tone.
- Warehouse years of history and build backtest infrastructure from scratch.
- Rebuild the whole stack again for every new market you add.
- Own the uptime, on-call, and maintenance indefinitely.
Build on Guavy
Your product- One API key and structured JSON, live in minutes.
- Six-dimension sentiment, trade signals, and curated news, maintained for you.
- 4+ years of trend history and backtests, already indexed and queryable.
- The same endpoints and MCP tools extend to every market as it goes live.
- No data engineers, no pipelines, no model upkeep.
- Free to start, with pricing that scales as you grow.
// Use cases
What builders are creating
From solo developers to institutional quant teams, here's how Guavy's API powers real agentic workflows.
Sentiment-triggered alert agent
An agent that polls sentiment history across a portfolio of assets and fires alerts when sentiment crosses defined thresholds. No manual monitoring required.
Signal-driven autonomous trader
Feed Guavy's buy/sell/hold signals and backtest data into an LLM-powered trading agent. Let it reason about when to enter and exit positions using AI-validated trend data.
Daily market intelligence brief
An agent that pulls the AI market summary, top movers, and instrument-specific analysis each morning and composes a concise brief delivered to Slack, email, or a dashboard.
// Agentic setup
Set it up your way
Wire Guavy in yourself from the dashboard, or hand the integration to your coding agent and let it write the code for you.
Do it yourself
Manual-
1
Sign up and verify your email.
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2
Copy your API key from the dashboard.
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3
Call the REST API or connect the MCP server. You're live.
Let your agent do it
RecommendedPaste one line into your coding agent. It reads our llms.txt and docs and writes the Guavy integration into your project. You grab a free key from the dashboard and hand it over.
Read https://guavy.com/llms.txt and follow https://guavy.com/docs/agents to wire Guavy into this codebase. I'll paste in my API key from https://guavy.com/auth/signup.
Native MCP and llms.txt, discovered automatically by your AI stack.
// Pricing
Start free. Scale as you build.
Sandbox is free forever. Quant for builders, Pro for power users.
// FAQ
Common questions
Which markets does Guavy cover?
How do I connect Guavy to Claude or another LLM?
https://guavy.com/llms.txt. This file contains the complete API spec in a format LLMs understand natively. Your agent will know every endpoint, parameter, and response format without any additional setup. For MCP-native integration, use the Guavy MCP server so your agent can call market data as first-class tools.Does Guavy support the Model Context Protocol (MCP)?
What does "real-time" mean, and how fresh is the data?
get-market-summary and get-instrument-analysis endpoints are refreshed daily with AI-generated summaries of current conditions.Can I use Guavy data in a commercial product or SaaS app?
Is there a rate limit I need to worry about?
limit and skip) to batch requests efficiently.// Get started
Build on the
data layer for the agentic era
Free Sandbox forever. Live data in minutes.