On-chain analytics, datasets, embeddings, and the pipelines that feed models.
Training Llama-3.1-8B costs ~$6M. The weights are free to clone. Perinucleus sampling embeds 24,576 distinct fingerprints per model with no quality loss — and a Poseidon ZK commitment registers ownership on-chain for $0.017, enforceable by smart contract.
A Uniswap v3 LP position in range [Pa, Pb] is mathematically a short strangle — short put at Pa, short call at Pb. Derive the equivalence, compute the Black-Scholes fair premium, and compare it to actual fee income at current ETH vol.
Uniswap v3's capital efficiency multiplier peaks at 20× for ±10% ranges, but first-passage math shows the same position rebalances 54 times a year — making active LP management an optimization problem that requires AI-grade execution frequency.
Ethereum's blob fee market held at 1 wei for twenty months after Dencun, then broke in December 2025. Here's what the data shows, what drove the cycle, and what it means for L2s and AI agents that depend on cheap calldata.
AI agents need real-world data. zkTLS closes the oracle gap: TLSNotary's MPC-TLS costs 30 MB of garbled circuits at 5 Mbps; its April 2026 Proxy mode cuts that to 4 seconds. Here is the trust model, the benchmarks, and what agents can prove today.
On-chain AI agents reset state on every call. Four persistent-memory architectures span a 20× monthly cost gap — SSTORE at $78/month versus IPFS+CID at $3.92. Real June 2026 gas numbers, four trust models, one crossover you won't see coming.
Chainlink's push oracle only updates when price moves ≥0.5% or an hour passes. That gap costs AI agents real money — and Pyth's pull model closes most of it.
Federated learning keeps raw data local — but the gradients it publishes on-chain are not private. Inversion attacks reconstruct training images from them, and a public ledger makes that window permanent.
EIP-4844 blobs look like cheap on-chain storage, but they vanish in 18 days. Here is why DA windows break AI training pipelines and what to use instead.
To borrow $100 in DeFi, you lock $125–167 in collateral. That gap is the price of trustlessness — and AI agents pay it the same as anyone. On-chain credit scoring is emerging to close it, but the signals that work for humans fail for agents that can spin up new addresses in milliseconds.
VitaDAO mints a Molecule IP-NFT — an ERC-721 pointing to a legal research agreement on IPFS — then fractionalizes it into ERC-20 tokens for community funding. Now AutoScientists runs the experiments at machine speed. Here is what the chain actually proves, and what it doesn't.
Polymarket's off-chain matching + on-chain settlement creates a ~10-second consistency gap. GHOSTHUNTER found 980K targeted reversions and $1.49M extracted — here's the exact mechanism.