Agentic analytics for card network economics

Find the interchange and scheme fee leaks before the month closes.

Bicycle watches effective interchange rate, scheme fees, chargeback ratio, cross-border authorization, card-type mix, and dispute win rate across the card network and issuer dimensions 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

payments / interchange rate agentAgent live
Detect
Effective interchange rate
Commercial Visa · MCC 5411 · last 7d
+22bpsvs 30-day baseline
Explain · likely causes, ranked
  • 1Level 2 data missing on 31% of commercial Visa MCC 5411 transactions since processor updatehigh
  • 2Corporate Visa mix shift +7pp on MCC 5411contributing
  • 3Seasonal volume within normal rangecontributing
business causetechnical cause
Act · recommended next step
Alert payments ops and engineering: Level 2 data gap on commercial Visa MCC 5411. Fix before next settlement cycle. Scoped, previewed, logged.
Evidence: settlement data · interchange qualification logs · card-type feed · scheme fee statements · chargeback dispute log

A settlement report shows higher fees. Bicycle names the interchange code, the qualification gap, and the fix.

Where card network revenue breaks

Start with a single revenue KPI critical to your business.

Bicycle comes with card network 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.

Pick a revenue problem
Interchange Rate Agent Spike
Effective interchange rateCommercial Visa · MCC 5411 (grocery) · last 7d +22bpsvs prior 30-day average
Interchange rate spike · commercial Visa · MCC 5411
D · DetectDetect · what moved
Effective interchange rose above rolling baseline on commercial Visa MCC 5411 for 7 consecutive days
Settlement feed · interchange qualification data · card-type feed
Alert · Effective interchange ratejust now
Commercial Visa · MCC 5411 (grocery) · last 7d+22bps
SignalEffective interchange rose above rolling baseline on commercial Visa MCC 5411 for 7 consecutive days
Settlement feed · interchange qualification data · card-type feedSubscribe
E · ExplainExplain · why it moved
Qualification downgrade on enhanced data
Interchange qualification log
Level 2 data missing on 31% of commercial Visa transactions since processor update 2026-06-20
Card-type mix shift
Transaction log
Corporate Visa share +7pp on MCC 5411; no routing change
Seasonal volume
Transaction log
Volume +11% vs prior month; within normal seasonal range
Confidence
high
Ruled out
Seasonal effect ruled out as primary driver. Processor rate change ruled out. Level 2 data gap and card mix confirmed.
Cause summaryranked
1Level 2 data missing on 31% of commercial Visa transactions since processor update 2026-06-20
2Corporate Visa share +7pp on MCC 5411; no routing change
Ruled outSeasonal effect ruled out as primary driver. Processor rate change ruled out. Level 2 data gap and card mix confirmed.
high confidence
A · ActAct · what to do next
Alert payments ops and engineering: Level 2 data gap on commercial Visa MCC 5411; fix before next settlement
Slack · payments-ops payments-engineering
Commercial Visa · MCC 5411 · affected merchants
Owner: Payments ops · Engineering
Data fix requires engineering deploymentinterchange requalification takes one billing cycle
Action previewPayments ops · Engineering
Alert payments ops and engineering: Level 2 data gap on commercial Visa MCC 5411; fix before next settlementSlack · payments-ops payments-engineering
Data fix requires engineering deploymentinterchange requalification takes one billing cycle
L · LearnLearn · what the loop keeps
Accepted cause saved: Level 2 data gap and corporate Visa mix shift confirmed as primary drivers. Engineering fix and routing review recommended.. Enhanced data monitoring: alert on Level 2 field completeness falling below 95% for commercial card segments..
Decision memory · routed to Payments ops · Engineering
Saved to memorysaved
Accepted causeLevel 2 data gap and corporate Visa mix shift confirmed as primary drivers. Engineering fix and routing review recommended.
Next runEnhanced data monitoring: alert on Level 2 field completeness falling below 95% for commercial card segments.
starts from the answer
Setup
1
Rapid activation
Settlement feeds, interchange qualification data, scheme fee schedules, card-type data, already connected.
2
Vertical native context
Speaks interchange code, card type, MCC, qualification tier, scheme fee category. Answers in your language.
Detect
3
Always-on KPI intel
Watches effective interchange rate per merchant and card type. Surfaces the spike as settlement lands.
Explain
4
Multi-factor cause
Tests downgrade pattern, card-type mix shift, and qualification field gap together, not in turn.
5
Defensible answers
Every downgrade alert names the qualification gap, the transaction volume, and the source feed.
Act
6
Governed actions
Routes the fix to payments ops and dev with the qualification breakdown, scoped and logged.

A card network problem not listed here? Book a demo and we will map it.

The cost of finding out late

A dashboard shows the drop. It never finishes the investigation.

Before Bicycle

Scheme fees land in the statement. The investigation starts after the fact.

The monthly statement shows higher fees. The team checks interchange codes, qualification data, scheme fee schedules, and card-type mix across three tools and two billing cycles while the cost compounds.

  1. Finance reviews settlement statement totals
  2. Payments team checks interchange code log
  3. Analytics pulls card-type mix cuts
  4. Ops checks scheme fee schedule changes
  5. Three teams argue over what caused the cost
Days to weeks. Cost compounds across billing cycles.
With Bicycle

Bicycle finds the interchange leak before the settlement cycle closes.

Bicycle detects the interchange rate move as settlement lands, isolates the qualification gap or card-type driver, tests scheme fee and mix hypotheses in parallel, and routes the fix to the owner before the next billing cycle.

  1. Detect interchange move, ranked by cost impact
  2. Test qualification, mix, and scheme fee hypotheses together
  3. Attach the evidence, rule out the rest
  4. Route the safe fix to the payments owner
  5. Learn the accepted cause for next time
Before month-end. The owner gets the code, the gap, and the fix.
Capabilities · purpose-built for payments

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

1

Open the cause summary. Ranked business and technical causes. The likely driver is named, with confidence and impact.

2

See the evidence. Logs, deploys, pricing changes, supplier behavior, and search relevance, with the data attached.

3

Know what was ruled out. The negative findings close the debate before it starts.

What it looks like for your team

In practice

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.

Who runs this in payments

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.

Business teams · act on it

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.

Data & Analytics · keep it trusted

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.

What Bicycle becomes for your payments operation

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.

Bicycle the agentic layer
Surfaceswhat business teams touch
AlertsTriageStoriesDashboardsChatActions
Governancethe self-serve safety rail
access · approved definitions · evidence · audit · rollback
AgentsAI · your business analyst

Frames the question, orchestrates the investigation, writes the story, recommends the next step. It reasons.

Interchange optimisationApproval trackingPayment success rateSettlement anomalyInvoice processing
IntelligenceAutoML · your data analyst

Detects movement, ranks drivers, computes confidence, forecasts. The numbers are calculated, not generated.

Pattern EngineCause EngineDriver TreesForecastingImpact Ranking
Business modelthe semantic layer
MerchantIssuerBINCard typeInterchange codeGatewayTransactionSettlementModel version
Connectorsthe bridge, in and out
Signal Cause Action Knowledge
reads ↑ · acts ↓ · Bicycle sits on top
Your stack · system of record
Settlement dataInterchange qualification logsScheme fee statementsChargeback dispute dataCard-type feedSnowflakeRunbooks / ticketsSlack+ more

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 card networks pack supplies the starting KPIs, causes, stories, and action paths.

Vibe Analytics · self-serve start

Start with one interchange KPI in your card network stack.

Bring one revenue-critical card network KPI, connect a trusted source, and watch Bicycle turn a prompt plus your data into a card network analytics agent. Zero to a working agent in about 15 minutes.

Prompt + data
"Watch effective interchange rate by card type and merchant, and tell me why it moves across qualification, scheme fee, and card-mix dimensions."
Snowflake · connected
Analytics agent
Builds the model, detects movement, tests business and technical causes.
Outputs
AnswerStoryAlert
Teams usually start withInterchange rateScheme feesChargeback ratio

Grow into the full product when your team is ready.

Test ride Bicycle on a card network KPI.

Bring one interchange or scheme fee 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