Agentic data platform to analyze high quality risk signals from unstructured data for fintechs, e-commerce and banks.
Website | Site Flaws | Shipping | Checkoutable | Counterfeit Risk | Reddit Complaints |
---|---|---|---|---|---|
www.shoe.com | Grammar mistake | 14 days | True | High | Never Shipping |
www.acme.com | Missing Policy | 3 weeks | False | Medium | Slow Shipping |
www.website.com | Fake Address | Not available | True | High | Fake Products |
Is it still on? Is it a drop shipper? Is it selling fake shoes?
Bring your own prohibited business policy and enforce 24 x 7.
Documents-in, Ratios-out, Rules-out.
SQL BATCH PROCESSING API
REST STREAM PROCESSING API
WEBHOOK ASYNC PROCESSING
MCP (COMING SOON)
AI Agents rapidly gather and synthesize regulatory intelligence from online sources, identifying restricted products and non-compliant sellers in real time.
Maps a seller’s entire digital footprint — from storefront to checkout flow — from shipping policy to instagram comments, so you can green‑light trustworthy micro‑merchants with confidence.
Reads token white papers, price charts and community chatter to flag regulation risks, get-rich-quick patterns.
Transforms dense financial filings into structured datasets—automatically calculating key credit risks from any financial statements.
We have pre-built risk data templates for merchants. You can come up with your own template.
There are many configurations for Web AI Agents, to suit your data team's most picky requirements.
Run the AI Agents we created on a table of URLs via SQL.
ROE AI SQL-based data infrastructure provides a high throughput solutions for unstructured data workloads.
ROE AI SQL is naturally scalable, your SQL code is your production workflow.
Integrate with your bespoke data pipelines like DBT, Airflow, Snowflake, Databricks.