AI Tool to Detect Anomalies in Data
An AI tool to detect anomalies in data reads your CSV or Excel file and answers plain-English questions about what looks unusual, out of range, or unexpectedly different — without conditional formatting rules or statistical formulas.
Ask what's unusual or out of range in your data and get specific rows and values called out — without writing an IQR formula, Z-score calculation, or conditional formatting rule.
Drop your file in and ask a question — no account needed.
Upload your spreadsheet.xlsx .xls .csv — free to try, no accountOr start with
What this export contains
| Transaction ID |
| Amount |
| Date |
| Vendor |
| Category |
| Employee |
| Department |
| Payment Method |
| Status |
| Approval Flag |
| Prior Month Amount |
| Variance % |
What usually goes wrong with it
Outliers in large files are invisible without statistical detection
A 10,000-row expense report has transactions that are 5x the normal vendor amount, but sorting by amount doesn't reveal them relative to what's normal for that vendor or category.
DataMimi Datamimi identifies transactions that are anomalous for their category or vendor context — not just large in absolute terms — when you ask 'what transactions look unusual?'
Conditional formatting highlights extremes, not anomalies in context
Highlighting the top 10% of values in red flags the largest numbers — but a $50,000 payment is normal for rent and anomalous for office supplies. Conditional formatting doesn't know the difference.
DataMimi It distinguishes context-appropriate amounts from genuine anomalies based on the category or vendor patterns in your file.
Duplicate transactions are hard to spot without exact-match logic
The same invoice paid twice shows up as two separate rows with the same amount and vendor but slightly different dates, making them easy to miss during a manual review.
DataMimi It finds likely duplicate transactions — same amount, same vendor, close dates — when you ask 'are there any duplicate payments?'
Missing data in critical columns isn't visible at a glance
A CSV with 10,000 rows might have 200 rows where the Approval Flag column is blank — a meaningful gap that's invisible unless you count blanks by column.
DataMimi It counts and lists rows with blank values in critical columns — like missing approval flags or empty category codes — when you ask about data gaps.
Variance from prior period isn't pre-calculated in most exports
Identifying which expenses jumped significantly compared to the same period last year requires a VLOOKUP to the prior-period export and a calculated variance column — setup work before any detection is possible.
DataMimi It calculates period-over-period variance on the fly when you upload two files, identifying which line items changed most significantly.
Common questions
What does an AI tool to detect anomalies in data look for?
It looks for transactions or values that are unusual given the context of the file — amounts that are much higher or lower than typical for that vendor, category, or time period, as well as missing values and likely duplicate rows.
Can it find duplicate transactions?
Yes. Ask 'are there duplicate payments?' and Datamimi identifies rows with matching amounts, vendors, and close dates that may represent the same transaction paid twice.
Does it require me to define what counts as an anomaly?
No. Ask 'what looks unusual?' and Datamimi applies contextual logic based on the patterns in your file. You can also set a threshold — 'transactions more than 2x the vendor average' — if you have a specific definition.
What does Datamimi cost?
Free: $0/month, 40 credits. Lite: $9/month, 400 credits. Starter: $24/month, 1,500 credits, up to 3 simultaneous files. Pro: $59/month, 5,000 credits with rollover. Team: $199/month, 20,000 credits, 5 users. No credit card required for the free plan.
Can it detect anomalies in financial data, sales data, and operational data?
Yes. Any structured data with numeric columns and categorical or date context works — expense reports, sales transactions, inventory counts, HR data, and more.
Try it with your own file
DataMimi reads the file you actually have — merged cells, headers below row one, totals pasted at the bottom — and shows which rows and columns every number came from.
Ask about your fileWhat DataMimi costs
Every plan does everything — slides, written reports, cleaned exports, dashboards. They differ in how much work they cover.
Free
Free
40 credits a month
Starter
$24 /month
1,500 credits a month
Pro
$59 /month
5,000 credits a month