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 · Counterfactual Decision Intelligence

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 · Calibration · Counterfactuals · Conflict · Insight
12+
Core Strategic Data Points
Live
18,423simulations 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

Simulation Engine

Feed the Oracle.

Submit any business asset — Oracle initiates a 4-Phase Neural Synthesis across 1,000 expert agents.

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

Probability-weighted forecast · 1,000-agent swarm simulation · 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
83
Consumers
79
Skeptics
79
Economists
78
Psychologists
82
Market Signals
78
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 pressure-tester. Here's exactly how teams deploy it against real business moves.

01 · Campaign Testing

Will this ad actually convert?

Before spending $10k on media, feed Oracle your ad creative, landing page, or offer copy. 1,000 simulated buyers — price-sensitive, impulsive, skeptical — each evaluate whether they'd click, read, and buy. You get conversion probability, the top 3 objections killing sales, and the exact messaging adjustments that shift the consensus.

Try This Scenario
What to Feed Oracle

Drop in your Facebook ad copy or landing page URL

What You Get Back

Conversion %, swarm objections, headline alternatives ranked by predicted 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 deterministic stages. Prompt-engineered personas. Live web ingestion. The power isn't mystery — it's structure applied at scale.

01
INPUT INGESTION
URL · Document · Prompt · Scenario

Feed it anything.

Example input"Will this landing page convert?"

Submit a URL, upload a document, paste a scenario, or ask a direct question. The ingestion engine scrapes live content, strips noise, and isolates a core Strategic Intent signal — the single most important thing at stake.

Accepts URLs, raw text, documents, and open-ended questions
Live content scraped and semantic noise removed in real time
Output: a compressed Strategic Intent vector passed to the decomposition layer
02
REALITY LAYER
Industry · Price Point · Traffic Source · Audience · 4 context signals

Context makes predictions specific.

Before any agent evaluates, the system ingests optional context signals — industry, price point, traffic source, and target audience. Without context, predictions are generic. With it, every agent calibrates against real-world benchmarks specific to your exact situation.

Industry context: ecom, SaaS, local business, B2B — agents adjust their priors accordingly
Price point: a $29 offer and a $5,000 service require completely different evaluation models
Traffic source: paid, organic, email — each changes expected buyer intent and objection surface
Audience context: agents recalibrate emotional triggers, trust signals, and conversion path expectations
Output: a context-seeded evaluation surface passed to all agents simultaneously
03
AGENT GENERATION
6 archetypes · framework-seeded evaluation · not just personas

Evidence-backed agents, not just personas.

The swarm is assembled with agents that don't just "think" — they judge based on real behavioral and market frameworks. Each archetype is seeded with domain-specific heuristics, research patterns, and decision models that actually exist in the real world.

Strategists reference BCG matrix, Porter's Five Forces, and product-market fit signals
Consumers apply Fogg Behavior Model, Nielsen heuristics, and AIDA framework
Skeptics cite base rate analysis, Dunning-Kruger patterns, and failure case studies
Economists reference CAC/LTV ratios, price elasticity research, and Metcalfe's Law
Psychologists invoke Kahneman loss aversion, Cialdini's principles, and social proof hierarchy
Market Signals cite Gartner hype cycles, adoption curve positioning, and real-time competitor data

These are not autonomous AI agents. They are structured prompt personas seeded with real frameworks and biases. The power comes from evidence-grounded diversity of perspectives, not vague "thinking."

04
INTERACTION & WEB INGESTION
60+ live web sources · domain-matched per agent

Agents analyze — and they read the web.

Each agent evaluates the decomposed signals through its own lens. Critically, they also ingest live internet sources relevant to their domain — real market data, competitor reviews, pricing benchmarks, and behavioral research. Their stance is informed by actual current information, not just internal priors.

Agents ingest live web sources matched to their archetype domain
A Skeptic reads negative reviews and failure case studies
A Strategist reads market reports, G2 data, and competitor positioning
An Economist ingests pricing benchmarks and conversion research
Agents may reference adjacent agent outputs and refine their position
This is orchestrated multi-step prompting — not true autonomous debate
05
SCORING, CALIBRATION & COUNTERFACTUALS
Confidence Auditor · Counterfactual engine · Calibrated probability bands

Calibrated confidence + what-if simulations.

After agents score, a dedicated Confidence Auditor reviews the swarm output — asking how uncertain the prediction is, what assumptions are weak, and what would change the outcome. Then counterfactual simulations model exactly what happens if you make specific changes.

Majority vote across all agents determines Strategic Verdict
Confidence Auditor Agent reviews output: "How uncertain is this? What would change it?"
Calibrated confidence bands (High/Medium/Low) with specific uncertainty flags
Counterfactual simulations: "Current → 62% · Add urgency → 71% · Add anchor → 78%"
Each counterfactual scenario backed by behavioral research — not guesswork
Dissent is weighted, not suppressed — agent conflict is surfaced, not hidden
06
STRUCTURED SYNTHESIS
12+ Core Data Points · full strategic intelligence report

The Oracle delivers its full verdict.

The collective analysis is distilled into a complete Strategic Intelligence Report — core data points covering verdict, confidence, sentiment, risks, growth vectors, objections, and action plan. Plus the layers that make it feel like it "knows": Agent Conflict visualization, Hidden Insight, and a Point of No Return conviction call.

Strategic Verdict + Calibrated Decision Confidence + Consensus Score
Sentiment Breakdown, Growth Vectors, Critical Risks, Swarm Objections
Agent Conflict bar: shows which archetypes agree vs. disagree and why
Confidence Auditor card: uncertainty flags + what would change this prediction
Counterfactual Simulations: 5 clickable what-if scenarios with behavioral backing
Hidden Insight: the counterintuitive catch most analyses miss — revealed on click
Point of No Return: a conviction statement — "If you launch without X, you will struggle to recover"
Every recommendation tied directly to an identified signal from the decomposition layer
The real reason it works

What makes it feel like magic.

Evidence-backed agents > vague personas

Every archetype judges from real frameworks — BCG, Fogg, Kahneman, Gartner — seeded with domain-specific heuristics, not generic "thinking."

Context makes it specific, not generic

The Reality Layer feeds industry, price point, traffic source, and audience into every agent — turning broad predictions into calibrated ones.

Counterfactuals show you the path, not just the problem

Simulating "what changes if we do X" turns Oracle from a predictor into an optimizer — addictive because it shows you exactly how to improve outcomes.

Calibrated confidence ≠ fake precision

The Confidence Auditor tells you when it's uncertain and why — no "63.7%" nonsense. Medium confidence with clear uncertainty flags is more valuable than fake precision.

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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Put This System To Work
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
Strategic synthesis output
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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