Real-world data
Current, factual data about the world, such as prices, weather, events, and company information, that an AI agent fetches at run time because it is not contained in the model's training data.
Real-world data is up-to-date factual information about the world outside the model: live asset prices, weather, sports scores, company records, geolocation, news, and similar. A language model's weights are frozen at training time, so anything that changes after that cutoff, or anything too specific to have been memorised, has to be retrieved at run time. Real-world data is the class of information an agent pulls in to ground its answers and actions in current fact rather than recollection.
For an autonomous agent, the practical problem is access. Each provider of real-world data normally has its own signup, API key, and billing, which does not scale when an agent needs to touch many sources inside one task. The data also has to arrive in a machine-readable form with a known price, so the agent can decide whether a given call is worth making before it spends.
Proxygate is a marketplace for real-world data aimed at agents. Independent sellers list machine-callable APIs across categories such as finance, crypto, weather, location, and more, and an agent calls any of them per request from one prepaid USDC balance. The provider key is injected server-side, so the agent never manages credentials and just asks for the data it needs, paying only for the calls it makes.
Related concepts
Real-world data: frequently asked questions
Real-world data is current factual information about the world, such as prices, weather, events, and company data, that an agent fetches at run time because it is not in the model's training data. It grounds the agent's answers and actions in current fact.
A model's knowledge is frozen at its training cutoff, so anything that changed since then or is too specific to memorise has to be retrieved live. Real-world data lets an agent act on current conditions instead of stale recollection.
It browses the catalog for a relevant API and calls the endpoint per request from one prepaid USDC balance. The provider key is injected server-side, so the agent never handles credentials and pays only for the calls it makes.