Run Oracle free — it actually calls shots

Paste any URL, idea, or question. Get a calibrated 12-point forecast, counterfactual “what-if” simulations, confidence auditing, and hidden insights — in under 60s.

Universal Oracle · AI Business Decision Tool

See likely outcomes
before you make the move.

Universal Oracle runs your decision through evidence-backed agent swarms, a Confidence Auditor, and counterfactual simulations — showing not just what will likely happen, but exactly what changes to make it happen better.

94%
Forecast Accuracy Rate
5 Layers
Evidence · Confidence Check · What-Ifs · Conflict · Hidden Insight
12+
Key Decision Data Points
Live
18,422simulations run
Scroll
Live Oracle Activity
Recent analyses · Anonymized for privacy
YES
78%

SaaS landing page for project management tool

2min ago
NO
42%

Campaign messaging for B2B marketplace

5min ago
YES
71%

Pricing strategy for subscription service

8min ago
YES
64%

Product launch forecast for AI productivity tool

11min ago
NO
38%

Competitive move against established player

14min ago
YES
81%

Website effectiveness for e-commerce brand

17min ago

18,420+ businesses analyzed to date  · 1,000 agents deployed per simulation

Analysis Engine

Ask the Oracle.

Drop in any business question, link, or idea — Oracle runs it through 1,000 AI experts to find the most likely outcome.

Enter your email to unlock 3 free queries — no card required

1,000 AI experts · Deep probability forecast · Not financial advice

Swarm Intelligence

The simulation in motion.

Multiple agent archetypes evaluate your input simultaneously — converging toward a consensus signal in real time.

Strategists
Consumers
Skeptics
Economists
Psychologists
Market Signals
Consensus reached
Signal Alignment
78%
High confidence signal
Strategists
79
Consumers
83
Skeptics
81
Economists
80
Psychologists
79
Market Signals
80
Strategic Forecast Output

The Oracle awaits your input.

Submit a URL, video, raw content, or ask a strategic question above.

Strategic Verdict
Decision Confidence
Consensus Score
Engagement Score
Conversion %
Sentiment
Growth Vectors
Critical Risks
Deploy Oracle

How to Use Oracle
For Your Business

Oracle isn't a search engine. It's a decision tool. Here's exactly how real business owners use it before making their next big move.

01 · Campaign Testing

Will this ad actually convert?

Before spending $10k on ads, drop in your ad copy, landing page, or offer. 1,000 simulated buyers — budget shoppers, impulse buyers, skeptics — each decide whether they'd click, read, and buy. You get a conversion probability, the top 3 objections killing sales, and the exact wording changes that move the needle.

What to Feed Oracle

Paste your Facebook ad copy or landing page URL

What You Get Back

Conversion %, top buyer objections, headline changes ranked by expected lift

Agents Deployed
StrategistsEconomistsSkepticsPsychologistsConsumersCompetitors

Not limited to these — Oracle handles any business decision you feed it

Use Cases

What operators use it for.

Universal Oracle applies to any high-stakes decision where outcome clarity has value.

Landing Page Forecasting

Submit any URL and receive a probability-weighted analysis of conversion rate, audience friction points, and messaging gaps before spending on traffic.

72% average accuracy on page friction detection

Offer Testing

Stress-test your offer structure against simulated buyer archetypes. Identify psychological objections and perceived value gaps before publishing.

Identifies top 3 offer weaknesses in seconds

Ad Messaging Analysis

Run ad copy through swarm evaluation — consumer, skeptic, and market-signal agents surface misaligned claims and missed resonance triggers.

Reduces ad testing spend by simulating outcomes first

Website Conversion Review

Deep-signal analysis of full-site structure. Identifies trust deficits, CTA placement weaknesses, and UX friction that suppress conversions.

Used by operators managing $1M+ monthly traffic

Competitor Move Simulation

Model probable competitor responses to your launch, pricing shift, or market positioning. Anticipate moves before they happen.

81% scenario alignment in retrospective tests

Product Launch Scenario Modeling

Before you go to market, run your launch thesis through 6-archetype swarm simulation. See which outcomes are probable, which are wishful, and where risk concentrates.

Full risk/reward probability matrix generated
Step-by-Step · How It Actually Works

No black box. Here's the machine.

Six clear steps. AI expert types. Real-time web data. The power isn't magic — it's smart analysis done at scale.

01
INPUT READING
URL · Document · Prompt · Scenario

Feed it anything.

Example input"Will this landing page convert?"

Paste a URL, drop in a document, paste some text, or just ask a question. Oracle reads your input, cuts out the noise, and figures out the main thing you're trying to decide — then passes that to the next step.

Works with URLs, text, documents, and plain questions
Live web content is read and cleaned up in real time
Result: your core question, ready for the AI experts to evaluate
02
CONTEXT LAYER
Industry · Price Range · Traffic Source · Audience · 4 context options

Context makes results specific.

Before any expert weighs in, you can optionally add details about your business — your industry, price range, how customers find you, and who they are. Without this, Oracle gives general answers. With it, every result is calibrated to your exact situation.

Industry: tells AI experts which market rules apply to you
Price range: a $29 product and a $5,000 service need completely different analysis
Traffic source: paid ads, email, organic — each changes what buyers expect and object to
Audience: helps Oracle understand what motivates your specific customers
Result: a starting point that's personalized for you, not generic
03
AI EXPERT PANEL
6 expert types · framework-based evaluation

Real frameworks, not vague opinions.

Oracle doesn't just ask AI to "think about" your question. Each expert type is built with real business frameworks so their feedback is grounded in how markets actually work — not guesswork.

Strategists look at market position, competitive threats, and business model fit
Buyers apply decision psychology — what makes people say yes or no
Skeptics look for holes, weaknesses, and failure patterns
Economists look at pricing, cost vs. revenue, and market sizing
Psychologists look at trust, emotion, and what holds people back from buying
Market Signals look at trends, timing, and where the market is heading

These are structured AI expert types, not literal people. The power comes from each expert bringing a different lens — so blind spots get caught.

04
LIVE WEB RESEARCH
60+ live web sources · matched to each expert type

Experts read the web too.

Each expert type doesn't just use built-in knowledge — they also pull in live data from the internet relevant to their area. Real market data, competitor reviews, pricing benchmarks, and research make their analysis much more current and specific.

Each expert pulls live web sources that match their specialty
A Skeptic reads negative reviews and failure cases
A Strategist reads market reports and competitor positioning
An Economist pulls pricing benchmarks and conversion research
Experts can also consider what other experts found before forming a final view
This is organized, multi-step AI research — not random searching
05
SCORING & WHAT-IF SIMULATIONS
Confidence Checker · What-if engine · Calibrated probability ranges

Calibrated confidence + what-if simulations.

After experts score your input, a dedicated Confidence Checker reviews everything — asking how sure the prediction is, what assumptions might be wrong, and what would flip the outcome. Then "what-if" simulations show you exactly what changes if you make specific adjustments.

Majority vote across all experts determines the final verdict
Confidence Checker reviews output: "How sure is this? What would change it?"
Confidence levels (High/Medium/Low) with clear flags on what's uncertain
"What-if" simulations: "Current → 62% · Add urgency → 71% · Add anchor → 78%"
Each what-if scenario is backed by real buyer research — not guesswork
Disagreement between experts is shown, not hidden — you see the debate
06
FULL RESULTS REPORT
12+ Data Points · complete business intelligence report

The Oracle delivers its full verdict.

Everything is turned into a complete report — covering the verdict, confidence level, how people will feel about it, risks, opportunities, objections, and your action plan. Plus the layers that make it feel like it "just gets it": the Expert Debate visualization, the Hidden Insight, and the Point of No Return call.

Clear Verdict + Confidence Level + How Many Experts Agreed
How People Will React, Opportunities to Grow, Key Risks, Top Objections
Expert Debate bar: shows which expert types agree vs. disagree and why
Confidence Checker card: what's uncertain + what would change the prediction
"What-if" Simulations: 5 clickable scenarios with buyer research backing each one
Hidden Insight: the thing most people miss — revealed on click
Point of No Return: a straight-up conviction call on what you must not skip
Every recommendation tied back to something specific Oracle found in your input
The real reason it works

What makes it feel like magic.

Real frameworks, not vague AI opinions

Every expert type judges from real business frameworks — strategy, buyer psychology, market research — so you get grounded analysis, not made-up answers.

Your details make it specific

The context layer feeds your industry, price range, traffic source, and customers into every expert — turning broad predictions into results that actually fit your situation.

"What-if" shows you the path forward

Simulating "what changes if we do X" makes Oracle more than just a predictor — it becomes an optimizer that shows you exactly how to get a better outcome.

Honest confidence, not fake precision

The Confidence Checker tells you when it's uncertain and why — no fake "63.7%" numbers. Honest medium confidence with clear caveats is more useful than a made-up exact figure.

Phase 06 Output
17 Intelligence Outputs
The complete Strategic Intelligence Report
Strategic Verdict
Decision Confidence
Consensus Score
Sentiment Breakdown
Critical Risks
Growth Vectors
Swarm Objections
Strategic Actions
Scenario Vectors
Engagement Score
Conversion %
Executive Synthesis
Agent Conflict
Confidence Auditor
Counterfactuals
Hidden Insight
Point of No Return
Sample Forecast

What a real Oracle output looks like.

See the full 17-point Strategic Intelligence Report — including Confidence Auditor, Counterfactual Simulations, Agent Conflict, Hidden Insight, and Point of No Return. Compare it to what traditional analysis gives you.

Input · Oracle Question
Should we launch our B2B SaaS pricing at $299/month targeting SMB teams of 5–15?
Test Offer Strength
6 web sources scanned
Web Sources Scanned
g2.com/categories/project-management
producthunt.com/posts/competitor-analysis
similarweb.com/website/atlassian.com
techcrunch.com/saas-pricing-2024
saastr.com/smb-pricing-benchmarks
paddle.com/blog/saas-pricing-models
01 · Strategic Verdict
YES

Launch at $299/month is supported by swarm consensus. Price point is viable; offer architecture requires optimization.

Definitive verdict from swarm consensus
02–04 · Confidence · Consensus · Engagement
73
Decision Confidence
81
Consensus Score
67
Engagement Score
34%
Conversion %
05 · Conversion Probability
34% predicted success rate
06 · Executive Synthesis

Universal Oracle's swarm processed this pricing scenario through six expert archetypes and reached high-confidence consensus: the $299/month price point is viable for this segment, but the current offer architecture is leaving an estimated 38% of conversion potential unrealized. The primary constraint is not the price — it's the proof gap and the absence of outcome-quantified framing that allows buyers to calculate their ROI. Three structural interventions address 80% of this gap.

07 · Sentiment Breakdown
Predicted market reaction distribution
Positive
52%
Neutral
23%
Negative
25%
Majority-positive signal · proceed with optimization
08 · Critical Risks
ROI Proof Gap80

Buyers cannot calculate their return on $299/month from current offer framing — Economist agents rate this the primary price resistance driver.

Objection Vacuum74

Top 3 buyer objections (complexity, onboarding time, integration risk) are unaddressed — each suppresses conversion by an estimated 8–14%.

Competitive Undercutting63

A comparable tool is available at $199/month without differentiation story — 45-day window before competitive erosion accelerates.

09 · Growth Vectors
Outcome-First Reframe+80

Restructuring the offer around a quantified result ("Close 3 more deals/month per rep") projects 29% higher acceptance at identical price.

Price Anchoring+74

Adding a $699/month Enterprise tier repositions $299 as the logical center — Economist agents project 2.4× perceived value lift.

Risk Reversal+67

A 60-day unconditional guarantee removes the primary purchase hesitation and signals delivery confidence — projected 22% conversion lift.

10 · Swarm Objections

“Outcome promise is not measurable — buyers cannot evaluate the specific ROI of this purchase”

80%

“Delivery timeline is unclear — creates post-purchase anxiety before purchase even occurs”

67%

“No differentiation from comparable alternatives at the same SMB price point”

61%
11 · Strategic Actions
1

Reframe the offer around one quantified, time-bound outcome: "X result in Y days" — eliminate all abstract benefit language immediately.

2

Restructure pricing with a three-tier anchor at $149, $299, $699 — the premium tier repositions $299 as the logical choice, not the expensive one.

3

Add an unconditional 60-day guarantee — the stronger the guarantee, the higher the perceived confidence in your delivery capability.

4

Pre-empt the top 3 swarm-identified objections within the offer page — each addressed objection increases conversion probability by an estimated 8–14%.

12 · Scenario Vectors
Baseline Trajectory28%

Offer is leaving 40% of revenue on the table. Proof gaps and unaddressed objections are the primary blockers.

Optimized Vector72%

Implementing outcome framing + anchoring + guarantee projects acceptance rate improvement of 33% and AoV increase of 22%.

13 · Agent Conflict
Signal Conflict Detected
61%
39%
Positive — Strategists, Market Signals
Skeptical — Skeptics, Psychologists

Strategists see strong market timing and viable price point. Skeptics argue the offer framing creates enough uncertainty that buyers will delay. Psychologists flag that trust is not established before the ask.

14 · Confidence Auditor
Medium Confidence
Limited proof data — no case studies or outcome metrics to anchor Economist agent projections
High market variability in SMB SaaS — churn assumptions may shift significantly by sub-vertical
Competitive landscape is moving fast — 45-day confidence window before data degrades
What would change this

Adding 3+ customer outcome case studies + a defined differentiation anchor would shift this to High confidence.

15 · Counterfactual SimulationsClick any row to see the behavioral reasoning
16 · Hidden InsightThe catch most analyses miss

One counterintuitive insight that changes how you see this decision.

17 · Point of No Return

If you launch this at $299/month without a quantified outcome promise and a risk reversal mechanism, you will struggle to recover momentum after initial traffic. Early buyers who convert will under-perform expectations, and word-of-mouth will turn net negative within 60 days.

High conviction · not hedged
This is what your input generates.

Every question, URL, or asset you submit produces a 17-point Strategic Intelligence Report — calibrated, counterfactual, and conviction-grade.

Run Your Simulation
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In Your Business

Deploy 1,000 synthetic expert agents against any decision your team faces. Strategy, marketing, pricing, competitive moves — pressure-tested with real web data before they cost you money.

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Complete 12-point analysis
Live web source ingestion
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What You Get With Oracle

1,000 Expert Agents

Strategists, economists, psychologists, skeptics — each with distinct evaluation logic

Live Web Ingestion

Real-time domain-matched source reading across 6 agent archetypes during analysis

12-Point Strategic Output

Consensus score, confidence bands, objections, growth vectors, scenario forecasts

Devil’s Advocate Layer

Dedicated skeptic agents seeded to find weaknesses even after swarm reaches consensus