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Market news and commentary, read and scored around the clock.

Guavy scores what's published about the markets, so you and your AI can see what's changing and what may matter.

Free, no code. Works in Claude, ChatGPT or your own agent.

Here's the newest one, as Guavy scored it.

Scored by Guavy · Forex 33m ago Browse the Wire
Petrol prices drive 3% rise in New Zealand household costs

The cost of living for the average New Zealand household rose 3% in the past year, mainly due to increased petrol prices, according to Stats NZ. This increase reflects the financial strain on households, retailers, and small business owners. The rising cost of petrol has been a significant factor in the overall squeeze on spending power. Discussions on The Economy of Everything podcast have highlighted the challenges faced by struggling retailers and hospitality businesses.

Sentiment
-3
Clout
78
Speculation
2
FUD/FOMO intensity
3
FUD/FOMO direction
Neutral
Tone
Neutral
Recent leads
Crypto · 36m ago Binance Hack Exposes $6.3 Billion in Crypto’s Biggest Breach ▼ -4 Stocks · 45m ago Tech Stocks Extend Selloff as Amazon and Intel Tumble ▼ -4 Commodities · 53m ago Gold Prices Drop Across Major Indian Cities Today ▼ -3 Crypto · 1h ago Binance Security Issue Sparks AI Cybersecurity Debate – 0 Forex · 1h ago Treasury Yields Drop as Investors Await Key Economic Data ▼ -2 Commodities · 1h ago Gold Dips as Inflation Data Boosts Fed Rate Hike Bets ▼ -3 Stocks · 1h ago CISA Warns of Actively Exploited GitLab and Cisco Vulnerabilities ▼ -3 Commodities · 1h ago Calgary-Abu Dhabi Flight Strengthens Energy Ties – 0 Forex · 1h ago SNB Reports 44.2 Billion Francs Profit in Nine Months ▲ +4 Stocks · 1h ago ASML and Nvidia diverge in AI chip boom growth and profits – 0 Crypto · 1h ago Binance Hack Freezes Billions in Crypto Assets ▼ -3 Crypto · 2h ago Bitcoin Stolen in Binance Hack Likely Lost Forever ▼ -4 Commodities · 2h ago Oil Surges on US-Iran Tensions Gold Holds Near 4000 ▼ -2 Stocks · 2h ago Cisco bets on 27-year-old to rewrite 98% of its legacy code ▲ +4

You don't have to read everything to know what's changing.

Let Guavy do the reading.

It reads and scores what's published around the clock, so you don't have to.

Know what you're looking at.

Reporting, promotion and speculation are scored for what they are, not treated as equal.

See when the story changes.

Follow how a market's story builds, fades or reverses.

Get to a better-informed decision, faster.

Bring a broader picture into your research before you decide what it means.

The risk is answering from a handful of headlines.

On August 11, 2026 we asked five AI tools the same Bitcoin question. ChatGPT answered from 10 headlines. Claude with Guavy connected answered from 1,220 scored mentions. On screen, both answers looked equally sure.

That is 122x more market mentions behind the answer. At those sample sizes the margin of error is about 31 points either way, against 2.8.

Read the test
ChatGPT answered from 10 headlines
Claude with Guavy answered from 1,220 scored mentions
Same question, same morning.

Ask your AI. It answers from Guavy.

Your AI answers from intelligence Guavy has already read, scored and organized, not from whatever it can find when you ask.

Try a ready-made recipe

What's the market saying about Bitcoin this morning?

Still mostly positive, but cooling: 62% of today's coverage is positive, down from 78% on October 2. What you might miss: privacy-coin stories are drawing coverage, and Bitcoin price-betting stories carry the day's highest speculation scores.

Oct 2 78% positive
Oct 6 62% positive
Answered with Guavy · October 6, 2026

Has the story around gold changed?

Yes. Twice in ten days. Coverage went from 79% negative on September 28 to 64% positive by October 1, and slightly negative again today. Coverage cites central-bank buying in one direction and gold's decline from its January peak in the other.

Sep 28 79% negative
Oct 1 64% positive
Answered with Guavy · October 6, 2026

Where is the speculation in today's Nvidia coverage?

Reporting on Nvidia's record high carries relatively little speculation. The higher speculation scores are concentrated in IPO and analyst price-target stories. Two widely read pieces also question how narrow the broader market rally has become.

Answered with Guavy · October 6, 2026

Don't spend your time and budget rebuilding intelligence that already exists.

Building market intelligence in-house means continuously collecting, interpreting and scoring information across every market you cover. And you start from zero: point-in-time history only begins when you start collecting it. Guavy does that intelligence work continuously and delivers structured, scored records ready for your systems and agents to use.

Start free

Build it in-house

Your roadmap
  • Stand up and babysit feeds and pipelines across thousands of publishers.
  • Train, tune and continuously re-validate the models that score them.
  • Grade every item and map it to the assets, companies and themes it affects.
  • Start your point-in-time history from zero and wait for it to build.
  • Rebuild the whole stack again for every new market you add.
  • Own the uptime, on-call and maintenance indefinitely.

Build on Guavy

Your product
  • Sign up free, then connect over REST or native MCP.
  • Every item scored as it is processed, maintained for you.
  • Point-in-time history that already exists.
  • The same core 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.

Build your product on one intelligence layer across multiple markets.

One intelligence layer. Every market. One analysis engine across every market we cover. The same core API and MCP tools work in each.

Browse the Wire

Intelligence an agent can reason over.

For systems and agents that need to understand what is happening in a market and why.

  • A structured read of every item

    Sentiment, Clout, Speculation, FUD/FOMO Intensity, FUD/FOMO Direction, and Tone. A structured read, not a single bullish-or-bearish guess.

  • Interpreted before you ask

    Each record is scored as it is processed, so the interpretation is already there when it reaches your systems and agents.

  • What it may affect

    Each item identifies the assets it may affect, with a direction and a time frame.

  • Point-in-time history

    Query what Guavy identified at the time to understand how the intelligence developed.

  • The Wire

    Every item carries Guavy's own headline and summary, so people and agents can read what happened alongside how it was scored. Browse it in the Wire or pull it through the API.

  • Written once, never changed

    Every grade is time-stamped when it's written and never revised, so you can see what Guavy identified at the time, before anyone knew the outcome.

Build with intelligence, not raw information.

Put Guavy intelligence into your product.

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Integrate

Build it into your product

Use Guavy intelligence within your own products and workflows.

Distribute

Make it available to your customers

Distribute Guavy intelligence through your products and customer experience, with rights scoped to how you plan to use it.

Expand

Grow the relationship

Start with the markets and use cases that matter now, then expand the scope as the opportunity develops.

Follow your own list, not just a market.

Guavy Enterprise applies the same analysis engine to the companies, competitors, markets, regulators, suppliers, industries, themes and information sources that matter to your organization.

Talk to sales

Set it up your way

Use Guavy in Claude or ChatGPT, or directly through MCP or REST.

Want your coding agent to handle the setup? Paste this in.

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.
Per-tool guides

Start free. Scale as you build. Sandbox is free forever. Choose a plan when you're ready to scale.

Sandbox $0 3,000 tokens per market each month. Personal use.
Quant $49 per market / month 250,000 tokens per market each month. Personal use.
Pro $99 per market / month 1,000,000 tokens per market each month. Personal use.
Commercial $499 per month Build Guavy into a product you sell. Scale starts at $1,499 a month.

Common questions

Which markets does Guavy cover?
Crypto, forex, commodities, and stocks are live today. The core endpoints and MCP tools are the same in every market, so what you build on one carries to the others.
Can Guavy cover something other than these markets?
Yes. Guavy Enterprise applies the same analysis engine to a universe you choose, including companies, competitors, markets, regulators, suppliers, industries, themes and information sources.
Can't we just do this with an AI model?
You can. But then your agent has to keep reading and interpreting new information as it appears, and you pay for that work every time you run it. Guavy does that work continuously on its own infrastructure, stores the result, and serves the intelligence when your systems or agents need it. You also get something a model starting today cannot recreate: a point-in-time record written before anyone knew the outcome.
What does Guavy score?
Guavy scores each item across several dimensions and identifies what it may affect, in which direction and over what time frame. Field definitions are in the docs.
Does Guavy keep a historical record?
Yes. Every grade is written once, time-stamped and never changed, creating a point-in-time history of what Guavy identified at the time, before anyone knew the outcome.
Where does the information come from?
Guavy continuously scores news, analysis, press releases and official statements from thousands of publishers.
Does Guavy send data to outside AI providers?
No. No outside AI vendor touches the data or is involved in producing Guavy intelligence.
Does Guavy support the Model Context Protocol (MCP)?
Yes. Guavy supports native MCP, and the core tools are the same in every market, so an agent built on them works across markets.
Can I use Guavy in a commercial product or distribute it to my customers?
Yes, on a Business plan. Sandbox, Quant and Pro are for personal use. Commercial starts at $499 / month and Scale at $1,499 / month, and an Enterprise agreement is scoped to how you use and distribute the intelligence.
Is there a rate limit I need to worry about?
The API allows 300 requests per minute per API key and returns 429 above that. Monthly token budgets are per market: 3,000 on Sandbox, 250,000 on Quant and 1,000,000 on Pro. Deeper requests use more tokens than simple ones.

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