Running multi-venue flow, there is a known failure mode. Fills start looking slightly off. Connectivity is fine. Heartbeats are alive. Nothing on the status page. Then the venue acknowledges it — and by then you have already been picked off on stale quotes.
SeraFlow watches public market data across venues and flags when one venue starts diverging from the reference set — before status pages, threshold rules, or internal alerts catch it.
Why it matters
Your existing stack monitors what it was built for. Unless you maintain cross-venue correlation logic across every venue you trade, that divergence is easy to miss.
Reports availability. Updates after the venue acknowledges a problem — not before.
Prometheus, Grafana, heartbeat checks. Built per-venue. They only see cross-venue divergence if your team has built and maintained that correlation layer.
Fire when a limit is already crossed. Reactive by design — not a leading indicator of degradation onset.
Notices when fill quality changes or adverse selection starts. By then you are already reacting, not deciding.
SeraFlow computes what venue-by-venue monitoring often does not: cross-venue divergence. When one venue drifts from the reference set — depth thinning asymmetrically, price dislocating, latency widening — you get a structured alert designed to beat your existing baseline.
What it monitors
SeraFlow ingests public L1/L2 market data and computes degradation relative to the reference venue set — not against a fixed threshold on a single exchange.
What it delivers
Each signal is designed to fit into existing technical workflows. SeraFlow emits the alert; your team decides the action.
Critical, high, medium, or low.
Operational probability of the detection.
Which degradation pattern triggered the signal.
Measured lead time vs. your selected baseline.
For the technical evaluator
SeraFlow reads public L1/L2 market data. It does not connect to your internal infrastructure, does not sit in the order path, and does not require access to your bots, execution stack, or risk systems.
No write keys. Does not place or cancel orders. Does not become a dependency for execution uptime. If SeraFlow goes offline, nothing in your stack breaks.
Your single-venue monitors were built for connectivity, heartbeats, and API health — the job they were designed for. SeraFlow adds one signal class yours may not currently compute: cross-venue divergence.
Webhook or REST poll. Structured JSON payload: venue, signal type, severity, confidence, timestamp, drivers, and suggested runbook action. Your team decides whether that becomes a Slack alert, Grafana event, PagerDuty route, or input to an internal runbook.
{
"signal_id": "sf-bm-0042",
"venue": "venue_a",
"event_type": "DEPTH_EVAPORATION",
"severity": "high",
"confidence": 0.87,
"detected_at": "2026-06-09T14:22:07Z",
"detection_delta_seconds": 155,
"reference_venues": ["venue_b", "venue_c", "venue_d"],
"features": {
"depth_bid_usd": 142000,
"depth_ask_usd": 38000,
"spread_bps": 18.4,
"trade_imbalance": -0.64
},
"drivers": ["liquidity_withdrawal", "spread_widening"],
"probable_cause": "venue_degradation_vs_reference_set",
"suggested_runbook_action": "widen_or_pause_venue",
"no_execution_required": true,
"baseline_comparison": {
"threshold_rule_breach_seconds": 310,
"status_page_update_seconds": null
}
}Build vs. buy
Watchdogs, feed handlers, Prometheus alerts, reconnect logic, circuit breakers, internal dashboards. The argument is not that you have not built this. The question is whether maintaining a cross-venue degradation signal layer across every venue you trade is the best use of quant and infra time.
The hard part is not computing one spread or one heartbeat. The hard part is maintaining normalized venue behavior across multiple exchanges whose APIs, WebSocket specs, rate limits, sequencing guarantees, and failure modes keep changing. That maintenance tax is real — and it buys you a signal layer that does not need to sit inside your execution stack.
Keep building the parts that create trading edge — execution path, strategy logic, and latency-sensitive components. Test the out-of-band signal layer that reduces venue-degradation blind spots without touching your execution path.
The benchmark is not asking you to trust the claim upfront. It measures SeraFlow against your baseline — your status page, threshold rules, internal alerts, or your existing cross-venue logic if you already have it. If SeraFlow does not beat it, you do not need it.
A paid four-week benchmark measuring whether SeraFlow's cross-venue degradation signals beat your chosen baseline. Completely out of band. No execution access. No write keys.
Positive Detection Delta vs. your selected baseline on the majority of valid degradation events.
False positive rate below an agreed threshold, defined at kickoff.
Signal usefulness — would the alert have supported a widen, pull, or pause decision?
One question to answer
If yes, you have evidence for a buy decision. If no, you have a clean no-go without touching execution. Either outcome is useful.