In 2025, AI wrote 60% of all code. By the end of 2026 it will be 90%. 2027 will be known as Breach Year. Your customers are shipping AI-written code into production now. You can be the scanner they trust with it.
Build your own AI security scanner.
Powered by ours.
The ShipItClean engine runs up to 137 adversarial agents against every scan, with CVE cross-reference, AI-refined findings, and unlimited repo size. Other scanners can't match that depth because they're wrappers around a single LLM call. Become a partner and ship our engines under your own brand.
Why partner with ShipItClean
You get depth a foundation-model wrapper can't deliver
Most AI code scanners today are thin wrappers around a single foundation model call — Claude, GPT, Gemini, or similar. One model, one pass, one perspective. The result looks like a security scan and passes surface review, but misses the intent bugs, cross-file auth flaws, and subtle vulnerabilities that real adversarial review catches.
Our engine runs up to 137 independent adversarial agents in parallel — each focused on a different attack surface — then consolidates findings, cross-references them against the full 360,000+ combined detection patterns and CVE corpus, filters false positives with a final AI refinement pass, and generates a fix workflow your customers hand to their AI coding assistant.
Per agent of analytical depth, you're paying 100-500× less than calling a frontier foundation model directly for each scan — depending on which frontier model and which agent tier you'd otherwise pay for. Per real-world finding surfaced, the gap widens further because our engine catches intent bugs that single-pass scanners miss.
Surface scans plus deep adversarial review — in one pipeline
Most competitors (GitHub Copilot's security review, Cursor Bugbot, and the wave of single-LLM PR reviewers that launched in 2024-2025) are surface scanners: one model, one pass, one perspective, no rule-based safety net. That's fine for obvious errors. It's not fine for the kinds of bugs that cause breaches.
Every ShipItClean scan runs a full rules-based + pattern-matching surface pass first — testing submitted code against 360,000+ combined detection patterns, and growing — then layers up to 137 adversarial AI agents on top. You get both floors of the building:
The rule base keeps growing. Every scan that surfaces a previously-unseen vulnerability pattern is fed back into Hyrex, our proprietary detection engine. The panel learns what it missed yesterday, so your partners benefit from every other partner's scans. No extra work on your side — just a bigger net.
Surface scanners alone miss intent bugs and cross-file logic flaws. AI review alone skips the deterministic, cataloged pattern-matching that years of real-world security research have already encoded into rules engines. Running both in series — with the AI layer seeing what the rules already found — is the only version of this that ships clean reports. Your customers get the coverage a dedicated security engineer would ask for, without paying for one.
Foundation models have real limits
Context window claims look generous on paper. In practice, frontier models degrade well before their advertised ceiling — recall quality on long documents drops sharply past the ~50% mark, and truly large codebases never fit at all. Typical published specs:
A serious enterprise codebase can exceed 20 million tokens. We've successfully scanned OpenClaw-scale repos end-to-end across the full panel — 2.58M source tokens × 137 agents = roughly 2.58 billion effective tokens of analysis in one scan, with zero context loss. Every agent keeps full awareness of every other agent's findings from start to finish, regardless of repo size. You can't buy that from a foundation model at any price.
Partners get full access to the roster — up to 137 agents per scan through the partner API. Customers pick scan depth via named presets (Core / Quick / Deep / Full Assault) or the "Meet the agents" custom picker.
Your margins improve, not shrink
Compare the economics of direct foundation-model calls versus our wholesale:
On a typical 44K-token repo, a direct foundation-model scan costs you roughly $0.15-$1.25 for one pass. A 36-agent ShipItClean Quick-tier scan at wholesale costs about $1.47. You pay roughly the same per scan and deliver 36× the depth — and the same wholesale rate scales up to the Full Assault pass (up to 137 agents) whenever a customer wants it. Your customers never know or care how the sausage is made.
Zero engineering overhead
You don't rebuild the engine. You don't tune prompts for up to 137 agents. You don't host infrastructure. You don't manage foundation-model API keys across providers or their rate limits. You make one REST call per scan and we return findings.
Your differentiation is what you always wanted it to be: brand, positioning, customer relationships, and the niche you serve.
An AI-editable starter site
The starter kit ships a clean white-label site that works out of the box and is intentionally structured for AI tools and developers to customise. Six visual themes, semantic HTML, all copy & colours in one brand.json, and a bundled AI_README.md that briefs any AI assistant (Claude, Cursor, Copilot, Codex) on the whole codebase. Plain by default — not because we ran out of ideas, but because a chassis is easier to race than a showroom car.
No tier gaming, no feature withholding
Every scan through the partner API is the full engine. We don't have a "basic tier" you could ship to your customers to dilute your product. You send code, we return the deepest possible scan. What you charge for it is entirely your call.
How it works
Enroll from your dashboard
Sign in, open your dashboard, accept the Reseller Terms. Takes about 30 seconds.
Create an API key
Same dashboard, "API Keys" section. Keys look like sic_live_…. Never expire, revocable anytime.
Integrate
Either download our drop-in starter kit (complete scanner site with Stripe checkout, branding, admin panel) or make direct API calls from your existing app using our REST API.
Launch
Set your retail pricing. Brand it how you want. Every scan that runs through your API key is billed to you at wholesale. Your customers never see our name unless you want them to.
Wholesale pricing
Charged per scan to your card on file immediately after the scan completes. No minimum commitment. No setup fee. No per-seat pricing.
A typical small repo (~44K tokens) costs about $1.47 to scan at wholesale. A large monorepo (2M tokens) costs about $61. You price however you want — flat fee per scan, per-token markup, or tiered plans — and your customers never see our wholesale rate.
For reference, the same 2M-token scan at ShipItClean's public Gold tier retail ($7/M per agent × 36 agents) would cost the end customer about $504. Partner wholesale is under 13% of that. Partners can comfortably undercut our own retail price and still run a healthy margin.
What partners have asked
Can I white-label it completely?
Yes. The starter kit has an option to hide the "Powered by ShipItClean" footer. Your customers will have no indication our engine is behind your product unless you choose to tell them.
Is my customers' code stored anywhere?
No. Code is scanned in-memory, the report is generated, and the source is discarded. Your customers' data never lives on our servers.
What happens if ShipItClean goes down?
Scans fail gracefully — the API returns an error, your starter kit shows a "try again" page, and your customer isn't charged (if you use the starter kit's Stripe integration). No SLA is promised at launch pricing, but our uptime has been above 99.5% for the last 90 days.
Can I resell to enterprise customers?
Yes. The agreement is non-exclusive — you can target whatever market you want. If your enterprise customers need specific compliance artifacts, get in touch; we have solutions for SOC2-ready deployments.
What if my pricing ends up lower than yours?
Fine. Your customers, your pricing. We don't enforce a minimum retail price. Many partners price above our retail; some target the low end. Both work.
Ready to start?
Create account & enroll Read API docs first
Questions before enrolling? Reach us through the contact form.