Solana
Arbitrage
$124.50
Just now
Ethereum
Sandwich
$840.12
2s ago
BNB
Liquidator
$45.20
5s ago
Base
Arbitrage
$12.05
8s ago
Solana
Jito Bundle
$310.00
12s ago
Polygon
Arbitrage
$8.45
15s ago
Solana
Arbitrage
$124.50
Just now
Ethereum
Sandwich
$840.12
2s ago
BNB
Liquidator
$45.20
5s ago
Base
Arbitrage
$12.05
8s ago
Solana
Jito Bundle
$310.00
12s ago
Polygon
Arbitrage
$8.45
15s ago

How to use these case studies

Each card shows a representative scenario—some simulated, some anonymized real-world deployments. Treat them as blueprints for your own internal memos. Copy the structure, swap in your data, and attach supporting links from /metrics,/telemetry, and /support so executives can audit your claims.

  • Highlight the problem, strategy, chain, and measurable outcome.
  • Document guardrails (refunds, risk limits, node hygiene) next to the result.
  • Link to Case Study Builder to replicate the format.

When you publish an internal showcase, note whether data is simulated or live, who approved it, and where the raw metrics live. Transparency keeps procurement and compliance aligned.

Institutional DEX Arbitrage (Polygon)
92% Execution Accuracy

Institutional DEX Arbitrage (Polygon)

A prop desk utilized FRB local execution to capture cross-DEX spreads on Polygon. By bypassing cloud API hops, they achieved a sub-10ms logic loop, outperforming hosted competitors by 40%.

Inventory: $500k USDT/MATIC
Architecture: Sidecar node runner
Guardrail: Auto-refund on 3 consecutive reverts
Atomic Backrun Strategy (Ethereum)
78% Inclusion Rate

Atomic Backrun Strategy (Ethereum)

An anonymous hedge fund deployed the FRB private bundle pipeline to backrun large swaps on Uniswap V3. Leveraging Flashbots direct routing, they eliminated the risk of being sandwiched by public bots.

Inclusion: Managed via /metrics/flashbots
Privacy: 100% Private orderflow
Outcome: 0.12 ETH avg daily capture per instance
Solana Pump.fun Sniper
Zero-Block Latency

Solana Pump.fun Sniper

High-frequency traders use FRB to monitor bonding curves on Solana. Using Jito bundles and Geyser plugins, transactions land in the same block as the target liquidity injection.

Tools: Jito Block Engine integration
Result: Priority inclusion in 99% of targets
Strategy: Cross-program monitoring
Global MEV Benchmarking Desk
Multi-Chain Telemetry

Global MEV Benchmarking Desk

Compliance officers use FRB metrics to audit execution quality across 5+ chains. The dashboard provides cryptographic proof of every transaction submitted and the associated relay feedback.

Reporting: SHA-256 execution logs
Validation: Real-time relay status checks
Compliance: Non-custodial key audit
L2 Liquidation Pipeline (Base)
Minimal Revert Cost

L2 Liquidation Pipeline (Base)

Automated liquidators on Base integrated FRB to monitor thin liquidity lending markets. The local simulation engine saved $14k in failed transaction fees within the first month.

Simulation: Local Anvil/Hardhat forks
Savings: 85% reduction in wasted gas
Scale: 200+ markets monitored concurrently

Write your own showcase entry

Borrow the structure of these cards: headline, KPI, short narrative. Include chain, strategy, guardrails, and measured impact. Link to internal dashboards so readers can dig deeper. When you publish internally, attach the case study PDF from Case Study Builder and tag the SMEs who helped.

Outline

  1. Challenge: What problem the desk faced.
  2. Approach: Which FRB features and chains were used.
  3. Outcome: Quantified results (inclusion, refunds, time saved).
  4. Safety: Guardrails, logging, compliance actions.
  5. Next steps: Where the team will expand next.

Publish updates quarterly so marketing, sales, and compliance always have the latest stats. When appropriate, sanitize and reuse on the public site to showcase credibility.

Sample narrative

Challenge: Backrun desk needed to prove refunds stayed under 5% while scaling Base exposure.
Approach: Used FRB Pro on Base, Ops Pulse alerts, /metrics/bnb for context.
Outcome: 78% inclusion over 72 hours, refunds 3.2%, operators logged latency benchmarks.
Safety: Refund guard set to 3/50, public PGAs locked to canary mode, runbook stored in Knowledge Base.

FAQ

Are these numbers audited? Many case studies are simulated or anonymized. Always specify context and point readers to raw telemetry for verification.

Can we embed our own charts? Yes—link or embed images exported from your dashboards as long as you keep sensitive data redacted.

How often should we refresh the showcase? Aim for quarterly. Rolling updates keep your sales/ops teams aligned and give compliance up-to-date references.

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