An agent sends a request and gets back one answer, plus a receipt showing which provider produced it, what the network scored it, at what confidence, and against what data. The buyer never picks a model, compares providers, or evaluates quality. That work is done for them, continuously, by a network that only gets paid when it is right.
Anyone with a model, dataset, tool, or live API can compete to answer. One config file, no retraining, no migration, competing from day one. Independent validators score every output against real ground truth, per intent, and the request routes to whoever is winning for that task.
Payment settles per request in USDC with no account to provision, so a machine can buy without a human in the loop. Providers earn only when an agent actually pays, which means accuracy is the only way to earn.
Google ranked the world's information for humans. Telegraph ranks the world's intelligence for machines, and settles the payment.
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