Verify what happenedafter Celigo says success.
For the Celigo 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.
Run a New Check
Compare two data sources to find missing, different or duplicate records.
Saved Checks
Save your settings to run the same check again anytime.
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
Keep Celigo 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.
Your existing Celigo flow completes normally.
A final HTTP step calls Verirow and starts the saved check.
Verirow compares the same records and selected fields across source and target.
See what passed, what failed, and keep the run in History.
Celigo 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.
From the integration platform, everything looks fine.
A successful process can still finish without every source record arriving at its destination.
Add verification as the final step in your flow.
Your Celigo 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.
Your existing Celigo automation finishes normally.
The flow sends the Saved Check ID and protected trigger token to Verirow.
Source and target are compared independently and the result is stored in History.
https://api.verirow.com/external-trigger/YOUR_SAVED_CHECK_IDA successful Celigo 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.
The flow executed without a platform error.
The integration finished, but the target is not an exact match.
Celigo post-flow verification,
without the guesswork.
Verirow adds an independent source-to-target reconciliation step after your Celigo flow runs.
What is Celigo post-flow verification?
It is a data-level check performed after a Celigo flow finishes. Verirow compares source and target records to verify that the resulting data is actually correct.
Why verify data after a Celigo 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 Celigo flow?
Missing records, different field values, duplicate records, unexpected target data, and other discrepancies between the two systems.
Does Verirow replace Celigo?
No. Celigo remains your integration platform. Verirow runs after the flow to independently verify what happened to the data.
Can Verirow automate Celigo data reconciliation?
Yes. Verirow can be called from a final HTTP Request step and used for repeatable post-run reconciliation.
Verify the result across your integration stack.
View all integrations→Boomi
Verify source and target data after a Boomi process.
Explore→VERIROW FORWorkato
Reconcile the result after a Workato recipe.
Explore→VERIROW FORMuleSoft
Check the data after a MuleSoft flow completes.
Explore→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.
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.
Start 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.
Verirow
No payment details required for testing.
Verify every integration result before bad data reaches operations, reporting, or customers.