Total Runs16
Verify what happenedafter MuleSoft says success.
For the MuleSoft workflows where data correctness matters, Verirow independently compares source and target after the flow runs, so missing records, wrong values, and duplicates do not stay invisible.
Read-only verificationProtected trigger tokensWorkspace scoped
Dashboard
Issues7
Clean3
Failed6
Run a New Check
Compare two data sources to find missing, different or duplicate records.
Source file
Choose CSV fileNo file selected
Target file
Choose CSV fileNo file selected
Key field ?
Fields to compare ?
Saved Checks
Save your settings to run the same check again anytime.
Test Users Source → Test Users TargetKey: idFields: firstName, lastName, email
Source Orders API → Target Orders APIKey: order_idFields: status, quantity
Recent Runs
| Status | Run | Source → Target | Checked | OK | Missing | Different | Duplicate | Date |
|---|---|---|---|---|---|---|---|---|
| ISSUES FOUND | #33 | Test Users Source→ Test Users Target | 10 | 9 | 1 | 0 | 0 | 07/10/2026 |
Run #33 Details
ISSUES FOUND
07/10/2026, 13:53Duration: 754 ms · integration
HOW VERIROW FITS INKeep MuleSoft as the integration layer.
Keep MuleSoft as the integration layer.
Add Verirow as the verification layer.
No replacement architecture. No second integration process. Verirow checks the result after your existing process.
01
MuleSoft
MuleSoft flow runsYour existing Mule flow completes normally.
→
02
An HTTP Request calls Verirow and starts the saved check.
→
03
Verify the dataVerirow compares the same records and selected fields across source and target.
Source→Verirow→Target
Records + selected fields compared→
04
Review the resultSee what passed, what failed, and keep the run in History.
10checked
9OK
1issue
WHY VERIROW
MuleSoft can report success while the data is still wrong.
Verirow checks the result after the process finishes, so you can see whether the right records actually arrived with the right values.
MULESOFT FLOW
SUCCESSProcess completed
From the integration platform, everything looks fine.
→
VERIROW VERIFICATION
ISSUE FOUND1 record missing from target
10Checked
9OK
1Missing
0Different
0Duplicate
Process success does not guarantee data success.That is the gap Verirow closes.
MISSINGThe record never reached the target.
Record 10SOURCERecord 10Found
→
TARGETRecord 10Not found
A successful process can still finish without every source record arriving at its destination.
DIFFERENTThe record arrived with the wrong value.
FIELDstatus
SOURCEactive
TARGETinactive
DUPLICATEThe same target record exists twice.
TARGET RECORDid: 42
TARGET RECORDid: 42DUPLICATE
MULESOFT FLOW PATTERN
Add verification as the final step in your flow.
Your MuleSoft flow keeps doing the integration work. Once the flow finishes, an HTTP action calls Verirow and starts the Saved Check that compares source and target.
01
Flow completes
Your existing MuleSoft automation finishes normally.
02
HTTP action calls Verirow
The flow sends the Saved Check ID and protected trigger token to Verirow.
03
Verirow verifies the outcome
Source and target are compared independently and the result is stored in History.
POSTMuleSoft HTTP action
https://api.verirow.com/external-trigger/YOUR_SAVED_CHECK_IDHeaderX-Verirow-Trigger-Token
Providermulesoft
Recommended positionFinal flow step
ResultSaved to Verirow History
RECIPE SUCCESS VS DATA SUCCESSA successful MuleSoft job tells you the flow ran.
A successful MuleSoft job tells you the flow ran.
It does not prove every record arrived correctly.
Verirow adds a separate verification step after the integration. Instead of trusting execution status alone, you can confirm the actual source-to-target result.
JOB SUCCEEDED
The flow executed without a platform error.
StatusSuccess
FlowCustomer Sync
DATA ISSUE FOUND
The integration finished, but the target is not an exact match.
Checked10 records
Issue1 missing record
POST-FLOW VERIFICATIONCustomer Sync Verification
ISSUES FOUND10Checked
9OK
1Missing
0Different
0Duplicate
Recordcustomer_1042
ResultMissing from target
MISSINGFAQMuleSoft post-flow verification,
MuleSoft post-flow verification,
without the guesswork.
Verirow adds an independent source-to-target reconciliation step after your MuleSoft flow runs.
What is MuleSoft post-flow verification?
It is a data-level check performed after a MuleSoft flow finishes. Verirow compares source and target records to verify that the resulting data is actually correct.
Why verify data after a MuleSoft flow succeeds?
A successful job confirms that the flow executed, but it does not always prove that every target record matches the source. Verirow performs a separate source-to-target check after the run.
What can Verirow detect after a MuleSoft flow?
Missing records, different field values, duplicate records, unexpected target data, and other discrepancies between the two systems.
Does Verirow replace MuleSoft?
No. MuleSoft remains your integration platform. Verirow runs after the flow to independently verify what happened to the data.
Can Verirow automate MuleSoft data reconciliation?
Yes. Verirow can be called from a final HTTP Request step and used for repeatable post-run reconciliation.
INTEGRATIONS
Verify the result across your integration stack.
View all integrations→VERIROW FOR
Boomi
Verify source and target data after a Boomi process.
Explore→VERIROW FORWorkato
Reconcile the result after a Workato recipe.
Explore→VERIROW FORCeligo
Verify what arrived after a Celigo integration flow.
Explore→Learn more about data reconciliation and post-sync verification.Explore Resources→
WHERE RECONCILIATION MATTERS MOSTVerify the integrations where
Verify the integrations where
data correctness matters.
Not every data movement needs record-level reconciliation. Verirow is built for the workflows where incomplete or incorrect data creates real business impact.
Financial transactions
Verify high-impact records where missing or incorrect data can affect reporting, settlement, billing, or downstream finance operations.
Payroll processing
Check that critical payroll records reach the target with the expected values before errors become operational problems.
Employee synchronization
Reconcile employee records across HR, payroll, identity, and downstream systems when completeness and accuracy matter.
Master data
Verify foundational records such as materials, products, customers, or suppliers before dependent workflows rely on them.
Large data migrations
Compare source and target datasets after migrations to find missing records, changed values, and duplicates before sign-off.
FOR BUSINESS AND INTEGRATION TEAMSClear exceptions,
Clear exceptions,
not technical logs.
Verirow turns source-to-target comparison results into a focused exception list, so teams can see which records are Missing, Different, or Duplicate without manually comparing complete datasets or digging through integration logs first.
Beta · Free testing
FOUNDER PRICINGStart at $29/month.
Free during beta.
Verirow is currently in beta testing. You can use the platform without payment while the beta is running. The planned founder price is $29/month.
Beta · Free testing
FOUNDER
Verirow
$29/ month
Currently free during beta.
No payment details required for testing.
No payment details required for testing.
Verify every integration result before bad data reaches operations, reporting, or customers.
Unlimited connectionsManual verification runsSaved & scheduled checksIntegration-triggered checksCatch missing records automaticallyDetect changed values & duplicatesAlerts when results do not matchRun historyWorkspaces
Start free betaBeta testing is currently free. No payment details are required. Planned founder pricing after beta is $29/month.ADD A VERIFICATION STEPLet MuleSoft run the integration.