MegaLens.ai
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Not a chat UI. Not a model router.The Analyst.

Every AI has one blind spot.

MegaLens runs your query through the highest-capable versions of Claude, ChatGPT, Gemini, and DeepSeek simultaneously. They debate. They disagree. You get the consensus — and every minority opinion that didn't survive the vote.

They give you many models. We give you the right answer.

Run your first debate — freeSee how it works ↓
Typical query: ~$0.05–0.50 · You pay API providers directly · Zero markup
BYOK — use OpenRouter or your own provider keys
API key stays in your browser — we never see it
No credit card required to start

Works inside Claude Code, Codex, Cursor, and any MCP-compatible editor.

The problem

One AI has one perspective.

Confident wrong answers

One model states a hallucination with the same certainty as a fact. There's no second voice to push back. You only find out when it's too late.

Blind spots you can't see

Every model has training biases baked in. Asking one model to identify its own blind spots is like asking a fish if the water is wet.

Dissent gets buried

Multi-model tools that synthesize for you bury the minority opinion in a tidy summary. The outlier that might be the only correct answer? Gone.

How it works

Three steps. One verdict.

01

Ask anything

Type your question or paste your problem. Select a skill (Code, Security, Research, Legal…) or just say "audit my SaaS" — MegaLens auto-selects the best engines for that task. No generic pick-your-models.

02

Engines run in parallel

Claude, ChatGPT, Gemini, and DeepSeek all answer independently and simultaneously. No engine sees another's answer — no anchoring bias, no echo chamber.

03

Structured debate + verdict

Engines cross-examine each other. Claims are normalized, conflicts are clustered, minority opinions are preserved. You get a consensus score, weighted claims, and every dissenting voice — not buried in a summary.

Built-in Skills

Eight skills. Configured for the work.

Each skill tunes which engines lead, what they prioritize, and how they challenge each other.

⚡

Auto

Smart routing — best engine per task

  • •Intent detection
  • •Cross-domain queries
  • •Multi-skill routing

“Compare 3 pricing models and pick the best”

🔧

Code

Architecture to deployment

  • •Bug detection & root cause
  • •Database & query optimization
  • •Migration strategies

“Audit this codebase for performance bottlenecks”

🛡️

Security

Find what attackers find first

  • •OWASP Top 10 scan
  • •Auth & authorization audit
  • •Threat modeling (STRIDE)

“Audit this auth flow for privilege escalation risks”

🔬

Research

Data-driven, multi-perspective

  • •Market sizing & TAM
  • •Competitor feature matrices
  • •Trend analysis & forecasting

“Analyze the BYOK AI platform market — size, growth, players”

📈

Marketing

Brand awareness to conversion

  • •SEO audit & keyword strategy
  • •Paid ads (Google, Meta)
  • •Conversion rate optimization

“Audit this landing page for SEO and conversion issues”

💼

Business

Idea to revenue

  • •Pricing & tier design
  • •Financial projections
  • •Go-to-market strategy

“Design a 3-tier pricing strategy — debate the tradeoffs”

✍️

Copy

Words that convert

  • •Landing page heroes
  • •Email sequences
  • •Cold outreach templates

“Write a 5-email onboarding sequence that converts free to paid”

⚖️

Legal

AI-assisted, not AI-advised

  • •Contract review & redlining
  • •Privacy policy (GDPR/CCPA)
  • •Risk extraction

“Redline this NDA — flag one-sided clauses”

Not a summary. A verdict.

“Weighted dissent is the product.”

Competitors let a “chairman” model summarize and bury disagreement. MegaLens does structured claims, conflict clusters, minority opinions, confidence-weighted voting. That's the IP.

MegaLens outputQuery: “Next.js or Remix for a SaaS?”
Claude
Next.js
ChatGPT
Next.js
Gemini
Remix ⚑
DeepSeek
Next.js
Consensus score75%

Key claims

✓Ecosystem & deployment maturity4/4 agree
✓App Router simplifies routing logic3/4 agree
⚑Remix loader pattern cuts waterfall requestsGemini only

⚑ Critical dissent preserved

Gemini:“For data-heavy apps, Remix’s nested loader pattern reduces waterfall requests by ~60%. If your SaaS is read-heavy, this matters.”

Structured claims, not summaries

Each claim is extracted, normalized to a schema, and scored by how many engines independently reached it. No chairman paraphrasing.

Conflict clusters

Where engines disagree, MegaLens surfaces the exact point of contention — not a vague 'some models suggest.' You see the fault line.

Critical Dissent Override — hardcoded

When one engine is right and three are wrong, that minority voice is never buried. It surfaces with full context. Hardcoded. Not optional. Critical Dissent Override = trust.

Confidence-weighted voting

Engine reliability weights are tracked per task type. Two engines independently agreeing is not the same as two clones echoing each other.

Convinced? Run your first debate free — no credit card, no commitment.

Start Free →
Pro — SupremeCode

12-category SaaS audit. One prompt.

Security, Legal/GDPR, Tax, Performance, UX, SEO, and 6 more — specialist engines cross-examine your product across every dimension and issue the “Verified by SupremeCode” badge. Competitors sell this as a standalone product for $49–99. Included in Pro.

See full audit →

Pro — MCP server

Web UI shows what's possible.
MCP delivers what to do.

Web = read-only analysis · MCP = repo-aware, IDE-native action

The MCP server connects MegaLens directly to Claude Code, Cursor, and any MCP-compatible editor. It reads your actual repo, your git history, your file structure. A browser tool physically cannot do this — that capability doesn't exist in a browser context.

Claude CodeSkips Claude, adds ChatGPT + Gemini + DeepSeek — fresh perspectives only
Codex (GPT)Skips ChatGPT, adds Claude + Gemini + DeepSeek — no wasted slot
Any MCP clientFull engine squad with your local repo injected as context
You approve what context is shared before each query. Your .env files and private files are never transmitted without explicit confirmation.

Reads your actual code

Ask "audit my auth flow" and every engine sees the real implementation — not your description of it.

Reasons over git history

Engines know what changed, why it changed, and whether a new approach regresses a prior decision.

No duplicate perspective

When you're already inside Claude Code, getting Claude's opinion again wastes a debate slot. MegaLens detects this and substitutes a genuinely different engine.

Get Pro for MCP

Pricing

Start free.
Upgrade when you need more depth.

Both plans use your own API keys — either one OpenRouter key or direct provider keys (OpenAI, Google, etc.). You pay API costs directly (~$0.05–0.50/query). The prices below are the MegaLens platform fee only.

Free

$0/mo

Platform fee · API costs via your own keys

Engines & Debate

  • 2–3 engines per debate (Claude, ChatGPT, Gemini, DeepSeek)
  • 1 debate round
  • Basic synthesis + dissent override

Platform

  • All 8 skill types
  • Chat history
  • BYOK — zero markup
  • Unlimited queries (fair use)
  • Specialist engines
  • Live data (Perplexity, Grok)
  • SupremeCode audits
  • MCP server for IDEs
Start Free

Requires your own OpenRouter or provider API key

Recommended

Pro

$19/mo

Platform fee · API costs via your own keys

Everything in Free, plus:

Engines & Debate

  • 8 engines — Claude, ChatGPT, Gemini, DeepSeek + specialists
  • Devstral (code) + MiMo (reasoning)
  • Perplexity + Grok — live data via OpenRouter
  • Full cross-examination (2–3 rounds)
  • Advanced synthesis + deeper challenge logic

Pro Extensions

  • SupremeCode — 12-category audit + verified badge
  • MCP server — repo, git, env context in your IDE
Get Pro — $19/mo

Cancel anytime · No hidden platform charges

FAQ

Questions we'd ask too.

How is MegaLens different from opening Claude and GPT in two tabs?
MegaLens doesn't just run parallel queries — it orchestrates a structured cross-examination. Responses are compared, pressure-tested, and synthesized into one cross-checked answer. You get a unified result, not two isolated opinions you have to compare yourself.
What types of tasks can MegaLens handle?
Eight built-in skills cover Code, Security, Research, Marketing, Business, Copy, Legal, and a smart Auto mode that routes your query to the right engines automatically. Each skill configures a different internal debate strategy — which engines lead, what they prioritize, and how they push back. The specifics are proprietary, but the output quality speaks for itself.
Do I need OpenRouter, or can I use my own API keys directly?
Both work. Quick Setup uses one OpenRouter key to access all engines. Direct Setup lets you plug in individual provider keys — OpenAI, Google, Anthropic, etc. (minimum 2 for a debate). Either way, you control your own API spend with zero MegaLens markup.
What's the difference between Free and Pro?
Free gives you 2–3 engine debates across all 8 skills using your own API keys — unlimited queries, zero platform fee. Pro ($19/mo) unlocks MCP for repo-aware IDE integration, SupremeCode for deep technical audits, more engine slots, and orchestration techniques that aren't available on Free.
Why pay $19/mo when I'm also paying API costs?
You pay your API providers for raw compute. You pay MegaLens for what happens between the models — the sequencing, the cross-examination logic, the synthesis. How we orchestrate engines to challenge each other is our core IP, and it's what turns four separate opinions into one reliable answer. Free covers basic use; Pro is where the real depth starts.
Do you store my API key or train on my data?
Your API keys live in your browser — never on our servers. MegaLens does not log, store, or train on your prompts, code, or outputs. Your data is routed directly to the model providers via your own keys.
Are there hidden markups on API costs?
Zero. You pay exactly what your API providers charge. MegaLens earns from the platform subscription, not from inflating your token costs. You can verify usage in your provider dashboards anytime.
How much does a typical query cost in API fees?
A typical query runs roughly $0.05–0.50 depending on mode and context size. Quick mode stays near the low end, Multi-Brain debates sit in the middle. Even a comprehensive audit that would cost $500+ from a consultant typically runs under $2 in API fees here.
What is MCP and which IDEs (Claude Code, Codex etc.) does it support?
MCP (Model Context Protocol) lets MegaLens plug directly into your IDE — reading your actual codebase, git history, and file structure. Currently supported in Claude Code, Codex, Cursor, and any MCP-compatible editor. When you're already inside Claude Code or Codex, MegaLens detects this and substitutes a different engine — no duplicate perspectives, no wasted slot.
What is SupremeCode?
A 12-category audit that coordinates multiple frontier engines to examine your product across Security, Legal/GDPR, Performance, UX, SEO, and more. SupremeCode uses techniques we don't publicly document — including how engines are sequenced, what each one sees, and how we extract disagreement. The result: issues that a single AI would miss.
Can SupremeCode replace a professional security audit?
No — and we won't pretend otherwise. SupremeCode is an automated first-pass that catches common vulnerabilities, anti-patterns, and structural flaws across 12 categories. It's fast and cheap, but it's not a substitute for a human-led audit when compliance or legal liability is on the line.
Can I choose which AI models are used?
MegaLens curates the engine selection per skill to protect output quality. We've tested which model combinations produce the best debates for each task type — that curation is part of what you're paying for. We don't expose a model picker because our orchestration relies on precise model chemistry. Swapping an engine breaks the debate dynamics we're built to maintain.
What happens if I cancel Pro?
You drop back to the Free tier immediately — 2–3 engine debates, all 8 skills, unlimited queries. Your chat history stays intact. Your API keys are never locked or held hostage. You can re-upgrade anytime.

Not another AI tool — the control layer for all of them.

One AI can be wrong. Four rarely agree on the same mistake.

Bring your API keys. Run your first debate in under two minutes.

Start Free — No Credit Card