darkflow labs hq // protocol research and intent-driven latency

Faster execution. Less manual friction.

thesis

We build systems that eliminate manual friction, neutralizing RPC congestion and front-running via agentic execution.

research index

active research directions

current initiatives are framed as measurable programs with explicit phase state and reproducible evidence artifacts.

phase 1 // completed

Built the first live stream focused on the Pump.fun token program to establish a reliable ingestion baseline for new launches.

artifacts: pumpfun_stream_uptime_logs // launch_feed_snapshots

phase 2 // completed

Added quality scoring to filter low-signal launches and rank higher-quality opportunities early.

artifacts: quality_score_models // risk_filter_reports

phase 3 // completed

Implemented trade placement flows and began building validator-side infrastructure to improve execution reliability.

artifacts: execution_traces // validator_build_notes

phase 4 // current

Expanding ingestion from Solana-only coverage toward full multi-chain crypto price ingestion.

artifacts: source_expansion_logs // chain_coverage_reports

phase 5 // upcoming

Generalizing trade placement so operators can execute across any supported crypto asset type.

artifacts: execution_planning_docs // routing_design_specs

methodology and empirical status

live metrics are temporarily offline. cards stay visible as placeholders until the telemetry pipeline is active.

operator-visible components

@darkflow/engine

execution substrate for venue adapters, transaction assembly, and policy enforcement under controlled replay conditions.

@darkflow/sync

high-frequency state replication and stream writers that preserve coherent state transitions across observability surfaces.

@darkflow/js

typed transport clients for HTTP and websocket ingestion to keep evidence capture portable across run environments.

@darkflow/db · @darkflow/auth

baseline identity and persistence layers used to anchor repeatable experiment workflows and access policy boundaries.

clearance protocol

access to Darkflow runtime surfaces is restricted. we are currently onboarding a limited cohort of operators to validate phase 1 execution models.