Cybersecurity · head to head
Endor Labs vs Quantexa

Endor Labs
Cybersecurity
Security and AI agent governance for code and supply chain
- From
- Free
- Rated
- -

Quantexa
Cybersecurity
Entity resolution and network analytics for financial crime investigation
- From
- On request
- Rated
- -
The short version
- Only Endor Labs has a free tier, so it costs nothing to try first.
- Each has a real cost: Endor Labs pricing requires contacting sales, no transparent rates; Quantexa pricing is never published and lands in the seven figure range annually for a tier one deployment, so it is out of reach for mid-sized institutions no matter how well the analytics would fit.
- They diverge on capability: Endor Labs covers AI coding agent governance, Quantexa covers Entity resolution.
- Prices and features above were last checked on 1 September 2026.
Where they differ
Only the attributes on which Endor Labs and Quantexa actually diverge.
| Attribute | Endor Labs | Quantexa |
|---|---|---|
| Starting price | Free | On request |
| Pricing model | Seat-based per contributing developer with volume discounts | quote |
| Free tier | Yes | No |
| Platforms | Web, CLI, IDE | Web, Linux |
| Founded | 2021 | Unknown |
Identical on both: user rating (Not yet rated), category (Cybersecurity).
What each one covers
Drawn from each product's published feature list. An absence here means we hold no record of it - not that the product lacks it.
Only in Endor Labs
- AI coding agent governance
- SAST scanning
- Secrets detection
- Reachability analysis
- Open source dependency scanning
- Package firewall
- MCP server integration
Only in Quantexa
- Entity resolution
- Network generation
- Contextual monitoring
- Investigation workspace
- Data fusion
- Deployment on customer cloud
What people use each for
The jobs each tool is most often brought in to do.
Endor Labs
- Securing AI coding agent outputs before deploymentnot Quantexa
- Reducing SAST false positives with reachability analysisnot Quantexa
- Managing open source supply chain risknot Quantexa
- Enforcing security policies in CI/CD pipelinesnot Quantexa
Quantexa
- A bank whose AML alert backlog is dominated by false positives and wants network context to close them fasternot Endor Labs
- Sanctions investigation where the sanctioned party is not the account holder but a connected director or shareholdernot Endor Labs
- Merging customer records across retail, commercial and wealth divisions after an acquisition to see total exposurenot Endor Labs
- A tax or benefits agency looking for organised fraud rings rather than individual claimantsnot Endor Labs
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
Endor Labs
- Pricing requires contacting sales, no transparent rates
- Developer tier lacks UI and historical scan data
- Free tier limited to local scanning only
- Seat-based model may become expensive for large teams
Quantexa
- Pricing is never published and lands in the seven figure range annually for a tier one deployment, so it is out of reach for mid-sized institutions no matter how well the analytics would fit.
- Output quality is bounded by input data quality, and organisations without governed customer data spend the first phase of the programme fixing feeds rather than catching criminals.
- Implementation typically requires a systems integrator and runs into quarters rather than weeks, so the business case has to survive a long period with no operational benefit.
- The platform augments rather than replaces existing transaction monitoring, so you keep paying for the incumbent system alongside it and total compliance technology spend rises before it falls.
- Skills are scarce; the platform needs people who understand both Spark scale data engineering and financial crime typologies, and those people are hard to recruit and easy to lose.
Pricing, plan by plan
Endor Labs
Free- DeveloperFree
- Local scanning
- Read-only vulnerability data
- No UI, policies, or scan history
Quantexa
On request- Quantexa Platform$undefined/year
- Entity resolution and network generation
- Deployed in customer cloud tenancy
- Priced by data volume and use case count
Which should you pick?
Choose Endor Labs if
- You need ai coding agent governance.
- You want to start without paying.
- You work on Web, CLI, IDE.
- You also want sast scanning.
Choose Quantexa if
- You need entity resolution.
- You work on Web, Linux.
- You also want network generation.
Questions people ask
- Is Endor Labs or Quantexa better?
- Neither clearly leads. Endor Labs starts at Free and Quantexa at On request, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Endor Labs or Quantexa?
- Endor Labs has a free tier; the other does not. Paid plans start at Free for Endor Labs and On request for Quantexa.
- Does Endor Labs or Quantexa run on more platforms?
- Endor Labs runs on Web, CLI, IDE. Quantexa runs on Web, Linux.
- Can I use Endor Labs for free?
- Yes. Endor Labs has a free tier, so you can try it without paying. Quantexa starts at On request.
- What is Endor Labs best used for?
- Endor Labs is most often used for securing ai coding agent outputs before deployment, reducing sast false positives with reachability analysis, managing open source supply chain risk, enforcing security policies in ci/cd pipelines. Of those, securing ai coding agent outputs before deployment and reducing sast false positives with reachability analysis are not what Quantexa is typically brought in for.
- What can Endor Labs do that Quantexa cannot?
- Endor Labs covers AI coding agent governance, SAST scanning, Secrets detection, Reachability analysis. Quantexa covers Entity resolution, Network generation, Contextual monitoring, Investigation workspace.
Answered from the vendors’ own pages
Endor Labs: What is the difference between Endor Labs Developer and paid tiers?
Developer tier is free and provides local scanning via MCP server with read-only vulnerability access and no UI. Paid tiers (Core and Pro) add team features like policy enforcement, enterprise integrations, reporting, and scan history.
SourceQuantexa: Does Quantexa replace our transaction monitoring system?
No. It usually sits alongside it, adding network context to the alerts that system generates and to investigations.
Endor Labs: How does Endor Labs define seats for pricing?
Seats are calculated per contributing developer (those with commits in monitored repositories within the last 90 days). Volume discounts apply as team size grows.
SourceQuantexa: Where does our data go?
Into your own cloud tenancy in the normal deployment model. Quantexa does not require you to send customer data to a shared multi-tenant service.
Endor Labs: Does Endor Labs support on-premises deployment?
The platform is cloud-based SaaS by default. Enterprise customers should contact sales to discuss custom deployment options.
SourceQuantexa: How is it priced?
Not publicly. Expect an annual subscription scaled by data volume and number of use cases, plus separate implementation cost.
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