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Continuous AI security testing for apps, APIs, cloud, and private environments — review findings, reports, and live agent activity in one place.

Startup credits and Agent Readiness report cards with sources you can inspect.

Which is more popular?
Based on our record, Sourcey seems to be more popular. It has been mentioned 4 times since March 2021.
Website, pricing, platforms and company facts side by side.
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| Website | nullsquare.net | sourcey.com |
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| Listed in |
In their own words, as submitted to SaaSHub.


No description of NULLSQUARE yet.
Sourcey tests how agents can use software and records what companies offer startups. Read Agent Readiness report cards to see the task tested, observed result, blockers, and what remains unverified. Find startup credits, discounts, and programs with their terms, eligibility caveats, and original...
What each product offers, as listed by its team.


Possible disadvantages
An editorial look at what each product does well and who it suits.


Overall verdict
Why this product is good
Recommended for
No analysis of Sourcey yet.
How often each product is chosen within a category, 0–100% relative to the other.


As answered by people managing NULLSQUARE and Sourcey.
NULLSQUARE's answer
Our primary audience consists of fast-growing tech startups and SMBs with 1–100 employees. The best-fit industries are SaaS, Fintech, and E-commerce. Our target champions are technical and executive leaders, specifically CTOs, CEOs, Founders, VPs of Engineering, and Heads of Engineering. Geographically, we focus on the MENA region (Jordan, UAE, Saudi Arabia, Egypt) and global English-speaking markets (USA, UK, Europe).
Sourcey's answer:
Founders comparing startup offers, developers evaluating whether an agent can complete a specific task with a service, and agents that consume the public record through HTTP or MCP.
NULLSQUARE's answer
NullSquare operates on an internal runner architecture deployed inside the customer's own network. We utilize Docker sandboxing to isolate every scan in a container that is destroyed immediately upon completion. The platform relies on AI agents to run automated black-box and white-box penetration testing across web applications, APIs, and cloud infrastructure. Additionally, we leverage GitHub integrations to provide automated security reviews on every pull request.
NULLSQUARE's answer
NullSquare provides a superior alternative across several competitive dimensions:
Vs. Traditional Pentest Firms: Traditional firms charge $10,000–$30,000 and take 3–6 weeks. NullSquare is 10–100x faster, offering findings the same day at a fraction of the cost.
Vs. Manual Scanners (ZAP, Nessus): Scanners output raw, unvalidated data and require expert operators. NullSquare provides a complete platform with validated findings and automated compliance output.
Vs. Enterprise AI (XBOW): XBOW requires enterprise engagement and lacks public pricing. NullSquare is built for startups, featuring instant accessibility, a free assessment on signup, and transparent reports in minutes.
Vs. Open Source (Strix): Strix requires the customer to run and maintain the platform themselves. NullSquare provides a fully managed platform.
Sourcey's answer:
Choose Sourcey when you need the original source behind an offer or a task-level account of what an agent could actually do. It shows uncertainty and release history alongside the finding. Sourcey does not apply for offers or redeem credits on a founder’s behalf.
NULLSQUARE's answer
As a company founded in 2026, we are an early-stage startup actively acquiring our first customers. We strictly do not target enterprises with 500+ employees. Instead, our ideal customer profile focuses on fast-growing startups within specific verticals:
SaaS and Tech companies
Fintech startups
E-Commerce businesses
NULLSQUARE's answer
NullSquare’s architecture guarantees stronger data privacy than any SaaS competitor through our internal private runner. Agents run directly inside the customer's own infrastructure within isolated Docker sandboxes. These sandboxes are destroyed immediately upon completion, ensuring customer code and scan data never persist on NullSquare's servers. Furthermore, NullSquare’s AI agents confirm exploitability before reporting, ensuring customers receive proven vulnerabilities instead of false positive noise. Every scan also automatically generates built-in compliance evidence for SOC2, ISO27001, HIPAA, and PCI-DSS.
Sourcey's answer:
Sourcey ties startup offers and Agent Readiness findings to source evidence and versioned releases. A report card describes one agent task, its observed result, blockers, and unknowns. Offer records keep the vendor’s terms and eligibility caveats visible. The public record is free to read through the website, JSON, API, and MCP.
NULLSQUARE's answer
Founded in Jordan in 2025, NullSquare was built to address a massive gap in the security market. The industry is shifting from periodic manual pentests to continuous automated security testing. However, early-stage startups and SMBs are heavily underserved—they face the exact same compliance deadlines and investor pressures as large corporations, but cannot afford the $10,000+ price tags of enterprise tools or consulting firms. NullSquare was created to give these fast-growing teams the capability of a dedicated security engineer at a fraction of the cost.
Share your experience with using NULLSQUARE and Sourcey. For example, how are they different and which one is better?
Recommendations tracked on public social media and blogs since March 2021.


Tracking NULLSQUARE since Jun 2026.
For example, from the Sourcey agent-readiness release Release_id sha256:371cbf65650abf5756c967b1f1da9df607be4b1bb0c0b93aaf2dcf0a36e75d3e (artifact_sha256:67c4edef061ca4ea60cef1e1bc246d2ce0b7d6b12e227c0811d7405d3d0a63ac, Effective... - Source: dev.to / about 17 hours ago
Doing all this by hand for every candidate got old fast, so now I lean on Sourcey, a registry that tracks exactly this. It publishes report cards that grade whether an agent can actually sign up, pay, and operate a service on its own,... - Source: dev.to / 13 days ago
Machine-readable acceptance criteria are worth more to an agent than documentation quality. A page that says we accept X, with a named artifact and its schema, is worth ten pages of tutorials, because it lets the agent verify a claim... - Source: dev.to / 28 days ago
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