Preflytev1.2.2

An AI agent managing user deposits can call assess_opportunity with the user's capital, strategy, and risk profile to get ranked yield opportunities across chains. It calculates net APY after gas, break-even days, and capacity checks, enabling intelligent capital deployment without manual research.

A trading bot can use verify_claim to check multiple market beliefs (e.g., 'ETH supply rate on Aave is above 5%') in one call. It returns true/false with actual values, preventing the bot from acting on stale or hallucinated data and reducing costly mistakes.

Before executing a swap or deposit, an agent can call gas_timing to assess current gas prices relative to historical averages. It receives the cheapest hours to transact and cost estimates for common operations, helping schedule moves to minimize fees.

Before entering a lending position, an agent uses check_entry_viability to verify the market is not frozen or capped, then estimates net yield with estimate_net_position. This prevents wasted gas on reverted transactions and ensures the position is profitable after considering gas costs and holding period.

A yield aggregator agent can query get_ranking to see the top historical strategies by net APY across protocols and chains. It uses this data to allocate funds to proven high-performing pools, adjusting dynamically as rankings update.

Offers a free tier (60 req/min) during beta, then transitions to a pay-per-call model for commercial agents. Revenue scales with agent adoption and request volume.

Licenses the PreFlyte platform to DeFi agent developers as a middleware layer. Developers integrate one API to add financial intelligence to their agents, paying a monthly subscription based on the number of agents or requests.

Provides exclusive access to aggregated DeFi market data, such as anomaly detection reports and custom market snapshots, to institutional clients or analytics platforms. This could be bundled with the standard API or sold as a separate tier.