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Mira → The trust layer that turns AI outputs into onchain facts
@miranetwork routes every answer through many independent models and a validator set to reach cryptographic consensus, then stores the claim and provenance on chain. Result: 96%+ verified accuracy, fewer hallucinations, real accountability in high‑stakes flows
x402 just went live on the Verify API → agents can self‑pay per request via standard HTTP 402, authorize signed headers, and stream $0.001‑level micropayments with instant settlement. No card rails, no KYC gates, no 2.9% + $0.30 tax on machine‑to‑machine work
How it works:
‣ Models compete, validators stake $MIRA and earn fees
‣ Winning outputs become verifiable claims with audit trails
‣ Bad data gets slashed away, good data compounds trust
Why it matters:
▸ DeFi bots executing with verified signals
▸ Research agents paying per‑query for clean truth
▸ Data markets monetizing endpoints with one line of code
Scale + tooling:
‣ 10K TPS via Monad integration
‣ 3B tokens/day processed, 19M queries/week
‣ GaiaNet inferencing, Python/JS SDKs, free tier for builders
My take: the agent economy converges on payments + verification as a single primitive. Stacks that couple x402 with onchain consensus win adoption first. Watch the Q1 SDK drop and cross‑chain bridges as catalysts for the next wave of #AIAgents and #VerifiedAI