Why are more developers choosing first-party oracles over traditional data aggregators?

That is where $PYTH becomes interesting.

Many oracle networks collect prices from external sources, aggregate them, and then deliver them onchain.

While that model works, it can introduce delays during periods of high market volatility.

Pyth takes a different approach.

It allows participating exchanges and market makers to publish pricing data directly onchain, reducing latency and improving data freshness.

The opportunity is significant.

As DeFi expands into lending, derivatives, and tokenized assets, accurate and timely pricing becomes increasingly important for protocol security.

The challenge is trust.

Even the fastest oracle must prove that its data remains reliable across different market conditions.

This creates an interesting connection with the TON Blockchain.

As more users enter the ecosystem through wallets, mini apps, and experiences powered by $GRAM , they rely on products that function smoothly behind the scenes.

This is where STONfi fits.

It provides the liquidity layer that helps users move between assets efficiently while depending on reliable market data for healthy trading conditions.

Good data protects protocols.

Simple products grow ecosystems.

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