Find the gateway revenue leaks before checkout conversion follows them down.
Bicycle watches authorization rate, fraud rate, settlement, chargeback rate, and processing KPIs across the gateway and PSP segments that matter. When a number moves, it explains the likely cause and recommends the next action to the team that can fix it.
No credit card required
- 1Issuer-side declines rising on one BIN rangehigh
- 2Provider latency above the retry threshold on the same lanecontributing
- 33DS step-up friction rising on mobile checkoutscontributing
A dashboard shows the drop. Bicycle finishes the investigation and recommends the fix.
Start with a single revenue KPI critical to your business.
Bicycle comes with payment gateway industry intelligence already inside. Pick one Bicycle-recommended KPI and watch it run: the KPI it watches, the causes it checks, the action it recommends to the owner, and what it keeps.
A gateway problem not listed here? Book a demo and we will map it.
A dashboard shows the drop. It never finishes the investigation.
Payment success drops on one method. The manual chase begins.
The dashboard shows the decline. The team still checks issuer codes, provider health, retries, and 3DS by hand, across five tools, while checkout keeps failing.
- Payments ops checks the provider status page
- Risk pulls decline codes by BIN
- Engineering checks retry and timeout logs
- Analytics cuts by geography and method
- Nobody can separate the issuer from the provider while checkout keeps failing
Bicycle starts the investigation the moment the KPI moves.
It detects the drop, ranks the affected BINs and issuers, tests business and technical causes in parallel, attaches the evidence, and routes the issue to the owner with the next step.
- Detect the movement, ranked by impact
- Test business and technical causes together
- Attach the evidence, rule out the rest
- Route the safe action to the owner
- Learn the accepted cause for next time
Trained on the KPIs, patterns, and root causes of payments.
Six capabilities, set up once and run continuously. Business teams move faster, analysts keep governance, everyone trusts the number. Pick one to go deeper.
Multi-factor cause analysis
"What caused this?" turns into a three-day Slack thread across data, product, ops, and engineering, and the answer still arrives without evidence.
What Bicycle does
Open the cause summary. Ranked business and technical causes. The likely driver is named, with confidence and impact.
See the evidence. Logs, deploys, pricing changes, supplier behavior, and search relevance, with the data attached.
Know what was ruled out. The negative findings close the debate before it starts.
What it looks like for your team
When a rate spikes, the team sees the specific qualification gap, AVS failure, missing tax amount, or wrong hierarchy level, not just the aggregate move.
Capabilities work together in one continuous loop. Detect → Explain → Act → Learn.
Business teams need answers fast. Analysts ensure conclusions are trustworthy.
Same governed intelligence underneath. The payments agent for the teams who own the number, the controls for the team who owns the data.
See what changed, why, and what is safe to do.
The move finds you, ranked by revenue impact, with the cause and the next step attached. No dashboard hunt, no three-day ticket.
Govern the definitions, evidence, and safe actions.
Analysts review first-pass causes instead of rebuilding them. Leaders give the business self-service inside one governed boundary.
The agentic analytics layer on top of your stack.
Your stack stays the system of record. Bicycle turns payments signals into alerts, triage, stories, dashboards, chat, and governed actions on top of it. No rip-and-replace.
Frames the question, orchestrates the investigation, writes the story, recommends the next step. It reasons.
Detects movement, ranks drivers, computes confidence, forecasts. The numbers are calculated, not generated.
And the rest of what you run: settlement data · processor feeds · auth results · fraud signals · observability · Slack
Bicycle runs on top of your existing systems. The payments pack supplies the starting KPIs, causes, stories, and action paths.
Start with one authorisation KPI in your gateway stack.
Bring one revenue-critical gateway KPI, connect a trusted source, and watch Bicycle turn a prompt plus your data into a gateway analytics agent. Zero to a working agent in about 15 minutes.
Grow into the full product when your team is ready.
Test ride Bicycle on a gateway KPI.
Bring one payment success or authorisation metric that matters. We will show how Bicycle detects the move, explains the cause, and recommends the next step on top of the stack you already run.
No credit card required