Cloudflare AI Agent Traffic & Browser Protocol Simulator

Dual-Lane Edge Traffic Network (Real-time Flow) YEAR 2026

Human Traffic

AI Agent Traffic

Cloudflare Edge Nodes

PRESET SCENARIOS

Human Traffic Share

76.9%

15,000 req/s

AI Agent Share

23.1%

4,500 req/s

Rounding Error Status

FALSE (>1%)

Threshold: < 1.0%

Prediction Market Odds

18.4%

5-Yr Rounding Error Prob

Simulation Controls & Parameters 5-Year Trajectory

Target Projection Year 2026

Annual Agent Growth Rate 180% / yr

Agent Task Execution Velocity 4.5x Batch

Scraping vs Tool Call Ratio 70% Scraping / 30% Tools

Defensive Bot Mitigation strictness Level 2 (Standard Token Handshake)

Human Share & Polymarket Odds Curve (2026-2031)

Model Insights & Edge Mechanics

Under the baseline **180% annual AI agent request growth**, human web traffic drops from **76.9% in 2026** down to **0.82% by 2031**. At this threshold, Cloudflare edge infrastructure shifts entirely to machine-parseable DOM DOM-trees, automated CAPTCHA bypass token handshakes, and parallel sub-thread resolution.

Proof Status: Initialized | Target 2026 Traffic Baseline Ready

Traffic share arithmetic versus hard-coded probability labels

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Read the explanation

The written baseline uses fifteen thousand human requests per second and forty five hundred base agent requests. Task velocity four point five divided by three multiplies by one point five. Bot protection level two gives mitigation point nine two. Their product is sixty two hundred ten agent requests, so human share is about seventy point seven two percent, not seventy six point nine two from ignoring those factors. At point zero two pixels per modeled rate the bars span three hundred and one hundred twenty four point two. These are authored inputs and arithmetic, not current internet telemetry, provider measurements, actual autonomous browsing, or a forecast validated against observations. Across five years the written human formula compounds by one point zero two each year and the agent formula by two point eight. This yields about sixteen thousand five hundred sixty one human requests and one million sixty eight thousand seven hundred sixty four agent requests. Human share is approximately one point five three percent, above the strict one-percent rounding-error threshold. At one hundred eighty pixels per share fraction the bars span about one hundred twenty seven point three at baseline and two point seven five at year five. The odds label is a piecewise authored function of this share, not a fetched prediction market price or calibrated probability. Growth and task assumptions determine this scenario, not empirical inevitability. The scrape-versus-tool ratio updates descriptive state and a label but never enters total request arithmetic. Changing it from seventy to thirty therefore leaves modeled share unchanged. The equal two hundred seventy six pixel bars represent the same point nine two bot mitigation factor at three pixels per mitigation percentage point. More fundamentally, this preserved source contains an unquoted property beginning with the digit five in its export object. JavaScript cannot parse that identifier, so the entire application script fails before native bindings, canvas initialization, or exports. The explainer describes written formulas and this limitation rather than claiming a functioning projection dashboard, actual Cloudflare traffic, prediction-market odds, or public completion.