TxReport with the arbitrage type, a per-hop motif list, realized PnL, and the bot contract attribution.
MEV Intent Kinds
ParaLens distinguishes four MEV-specific classifications:Realized PnL
economics.realized_pnl is populated for self-closing atomic flows — transactions where funds leave and return to the same subject within the same transaction, making it possible to compute a verifiable profit figure.
realized_pnl is not available when:
- The transaction is not self-closing (e.g., a multi-block strategy).
- USD pricing could not be resolved for one or more assets.
intent_kindis not an arbitrage or MEV type.
realized_pnl.net_usd.available before rendering.
Structural Proof via Motifs
motifs[] contains the atomic structural primitives that the engine matched when classifying the transaction. For MEV transactions, the most relevant motif kinds are:
Group motifs by
scope_id to reconstruct each logical sub-flow within a complex transaction, then filter by kind to count swap hops or confirm the closed-flow signature:
Actor Attribution
MEV bots frequently haveclassification.actor_matches_signer: false. The three attribution fields clarify the ownership chain:
When researching a bot,
operating_subject gives you the contract to trace across multiple transactions; authority_subject gives you the controlling wallet.
Pipeline Stats
pipeline_stats exposes internal engine metrics that reflect transaction complexity. High values indicate dense, multi-hop MEV transactions:
A simple two-hop arbitrage might have
tvfg_nodes: 8, tvfg_edges: 6. A complex sandwich attack or multi-pool arbitrage might show tvfg_nodes: 30+, tvfg_edges: 50+.