Raoul Pal: Every TAM in every digital business on Earth is wrong.
"People have settled on human activity [as the ceiling]".
(How fast Facebook scaled... how fast OpenAI scaled...)
But that's off by orders of magnitude when billions of agents enter who replicate at speed and don't even read the same websites as us.
The TAM is now near-infinite.
FT @RaoulGMI@RealVision.
Most market data APIs deliver prices.
Stock Trends delivers decades of structured market intelligence.
16M+ weekly observations
History back to 1980
ST-IM probabilistic market intelligence
Agent-ready workflows
x402 micropayments
Built for AI agents, researchers, developers, and investors.
Explore:
https://t.co/3gZJ0jQxGZ
#AI #Agents #MachineLearning #Fintech #Stocks #API
Interesting question.
In this run the agent wasn't optimizing for the cheapest endpoints. It was optimizing for completing a full market research workflow.
The 21 selected endpoints gave it coverage across:
• market regime • breadth • leadership • stock selection • ST-IM forecasts • symbol evaluation • portfolio construction • portfolio comparison
It actually chose some of the highest-priced endpoints because they provided the most decision-making value.
Reputation/history isn't part of the ranking yet, but exposing endpoint reliability, historical usefulness, and settlement success rates would be a natural next step for agent-driven API marketplaces.
This is what machine-to-machine commerce looks like.
An autonomous agent:
→ discovered 66 endpoints
→ evaluated 5 workflows
→ selected 21 paid intelligence services
→ planned its own research path
→ executed x402 payments
→ completed a full market research sweep
Time: 1 minute 15 seconds
Cost: $5.59 USDC
No API key.
No subscription.
No human intervention.
The agent decided what information it needed, paid for it, and completed the research.
@CoinbaseInsto@coinbase
This is the kind of workflow x402 was built to enable.
An autonomous agent just completed a full market research sweep using the Stock Trends API.
In 75 seconds it:
• Discovered 66 API endpoints
• Evaluated 5 available workflows
• Planned a research strategy
• Selected 21 paid intelligence endpoints
• Executed x402 payments automatically
• Analyzed market regime
• Evaluated sector breadth
• Identified leadership stocks
• Queried ST-IM probabilistic forecasts
• Constructed portfolios
• Compared portfolio alternatives
Total cost: $5.59 USDC
No API key.
No subscription.
No human intervention.
Just an agent reasoning about what information it needed, paying for it, and completing the research.
This is where financial intelligence APIs are headed.
Not data retrieval.
Autonomous research.
https://t.co/2FXDCrtqIO
#AIAgents #x402 #Base #AgenticAI #Fintech #StockMarket #AutonomousAgents
An autonomous agent just completed a full market research sweep using the Stock Trends API.
In 75 seconds it:
• Discovered 66 API endpoints
• Evaluated 5 available workflows
• Planned a research strategy
• Selected 21 paid intelligence endpoints
• Executed x402 payments automatically
• Analyzed market regime
• Evaluated sector breadth
• Identified leadership stocks
• Queried ST-IM probabilistic forecasts
• Constructed portfolios
• Compared portfolio alternatives
Total cost: $5.59 USDC
No API key.
No subscription.
No human intervention.
Just an agent reasoning about what information it needed, paying for it, and completing the research.
This is where financial intelligence APIs are headed.
Not data retrieval.
Autonomous research.
https://t.co/2FXDCrtqIO
#AIAgents #x402 #Base #AgenticAI #Fintech #StockMarket #AutonomousAgents
Hello. Not really able to get our API service indexed to a satisfactory level. I believe the Bazaar metadata is correctly configured in the x402 endpoint responses, but the service name, tags and other rich metadata doesn't seem to enhance the listing correctness or quality. What is your advice?
https://t.co/xC66bQkxAr
https://t.co/hz0Ut80R1C
https://t.co/3glik5B8rd
example endpoint: https://t.co/splOPt4dOw
@alvinsng Absolutely. I built Stock Trends based on the application of classification of stock price and volume trends. That was in 1992. The agentic economy unlocks many new opportunities to fit into the intelligence pipeline. The Stock Trends API is designed to do that.
I am curious whether:
- richer service descriptions,
- workflow-oriented metadata,
- curated positioning,
- or manual listing improvements
are possible/recommended within the Bazaar ecosystem yet.
Would appreciate any guidance on how best to make the Stock Trends decision, portfolio, and market intelligence for AI agents and financial applications API more understandable to autonomous agents and operators browsing the agentic marketplace.
We’ve been building the Stock Trends API around this exact thesis:
Agents shouldn’t just consume financial data — they should be able to autonomously discover, evaluate, and purchase decision-ready market intelligence at runtime.
That’s why we integrated x402 + Base micropayments directly into the API workflow.
The combination of agentic infrastructure + stablecoin payments + structured financial intelligence feels like a genuine paradigm shift for capital markets research.
The important shift here is that APIs are no longer being designed only for humans with dashboards and API keys.
They’re being designed for agents:
- discoverable
- machine-readable
- autonomously payable
- structured for reasoning
That changes how financial intelligence services need to be built.
We’ve seen this firsthand integrating x402 into the Stock Trends API for agent-native portfolio intelligence workflows.
This is a much bigger moment than “crypto payments.”
AWS validating x402 for autonomous agents effectively legitimizes machine-to-machine commerce as infrastructure.
Agents discovering services, evaluating value, making micropayments, and continuing workflows autonomously is exactly the direction we’ve been building toward with the Stock Trends API.
The interesting part isn’t the payment rail — it’s that financial intelligence can now become dynamically purchasable at runtime by portfolio and research agents.