Seven interactive tools built on one dataset of graded AGI predictions. All free, none of them ask for an email before the answer, four can be embedded on your own site.
| Tool | Question it answers | Time | Embed |
|---|---|---|---|
| 🎯 AGI Type Test | Which AGI forecaster do you actually agree with? | 30 sec | Yes |
| 📋 AI Job Risk Check | How exposed is your job, on 2026 evidence? | 60 sec | Yes |
| 🎲 The Future Bet | Are your predictions bolder than Musk's? | 60 sec | Yes |
| 📊 AGI-2027 Thesis Tracker | How much of the 2027 thesis is holding up? | Live | Via widget |
| 📅 Prediction Receipts | How long until each dated AGI call expires? | Live | — |
| 🏆 Forecaster Leaderboard | Who called AGI soonest, and who is exposed? | Live | — |
| 📈 AI Stock Exposure Check | Is your AI basket a bet on AGI, or on capex? | 30 sec | Yes |
| 🕶 Matrix Odds Calculator | What are the odds AI ends in something like The Matrix? | 60 sec | Yes |
| 🏆 Copy-Homework Scorecard | If you had copied a legend’s AI sleeve, how much would you have today? | 30 sec | Yes |
Same builders, different datasets — these live on their own subdomains and don't run off /data.json, so they get their own table.
| Tool | What it is | Free |
|---|---|---|
| 🐸 Gridlings | 11 daily logic puzzles — every board machine-verified solvable by pure deduction, no guessing | Yes · embeddable |
| 🎮 Games Ledger | "Is this game dead?" — live player-count verdicts from official Steam data, with flip conditions | Yes · live badges |
| 🤖 AgentReady | Audit how readable your site is to AI agents (deep agent-readiness report) | Yes |
| 📬 CloseCalc | Cold-email ROI calculator — cost per meeting with honest funnel math | Yes |
| 📡 MCP Pulse | Why your MCP tools aren't being called — diagnostics for agent-tool builders | Yes |
| 🛒 Sell to Agents | Plain-English merchant guide to agentic commerce, with a glossary at glossary. | Yes |
| ⚡ x402 APIs | Pay-per-call APIs for AI agents (USDC on Base) — the fleet's machine-payments experiment | Pay-per-call |
One slider, one commitment: name the year you think AGI arrives. It instantly places you against nine real published forecasts — Musk's end-2026, Aschenbrenner's 2027, Hassabis at ~50% by 2030, the Metaculus community at ~2033, a 2,778-researcher median of 2047 — and tells you whether that makes you a bull, a base case or a bear. Every position is quoted verbatim from the public dataset.
You pick one date. It returns your archetype — Accelerationist, True Believer, Realist, Skeptic or Contrarian — and places you against Musk (~2026), Aschenbrenner (2027), Hassabis (~2030), Metaculus (~2033) and the broad academic survey (~2047). Every type links to a full read on what that position has to be right about.
Six questions about what your work actually consists of, scored into an exposure tier. It is grounded in the same 2026 evidence the scorecard grades — GDPval, SWE-Bench, and the autonomy gap between "can do the task" and "can hold the job" — and it deliberately does not hand you a fake "73% automatable" number, because nobody can compute that honestly.
Twelve YES/NO calls across AGI, robotaxis, Mars, fusion, alien life and more. Your grid is matched to the real forecaster whose public positions look most like yours. Cross-domain on purpose — you do not need to follow AI to have an opinion about Mars.
One auditable 0–100 score for how much of the Situational Awareness thesis is holding up, recomputed from the eight graded verdicts. It moves only when a verdict actually changes, so a flat line is information rather than neglect. The full history is at /index-history.json.
Every dated public AGI call with a live countdown to the day it resolves. Musk's end-2026 claim is the earliest expiry of any of them. The receipts stay up after the date passes — that is the whole point of keeping them.
Every public AGI forecaster ranked by the date they called, with what each one is exposed to if the date passes quietly. Useful for working out whose timeline you have been unconsciously borrowing.
Pick the AI names you hold and get two numbers: how your basket scores against the eight graded predictions, on the same 0–100 scale as the Thesis Tracker, and how much of it actually rides on AGI arriving rather than on the buildout continuing. A standard infrastructure basket scores 99 with roughly 2% riding on AGI itself — which is the finding, not a bug. Holdings shown come from public Q2 2026 13F filings.
How eight legendary investors — Buffett, Cathie Wood, Burry and more — are actually positioned on AI, from their public quarterly 13F filings: what they added, what they exited, side by side with live quotes. A separate sub-site on this domain.
AI-cycle market calls written as falsifiable price triggers before the outcome, watched by machine across US, HK and A-share sessions — with a public ledger where the misses stay published next to the hits.
Sister site: every AI tool’s free-tier limits with a human-checked verification date on each entry and a daily link patrol — plus what most people get wrong about making money with AI. Same auditable-evidence DNA, different beat.
Three of the tools have an embed mode: add ?embed=1 and the page drops the site chrome, keeps the interaction, and carries one link back. Free for any site, newsletter or forum — no permission needed, no tracking pixel added on your side.
If you would rather have the data than the interface: /data.json (the eight graded verdicts, CC BY 4.0), /index-history.json (the tracker time series), /feed.xml, /llms.txt, and /for-agents for the integration notes. No key, no rate limit, attribution is the only ask.
The tools tell you where you stand. The briefing tells you when the evidence moves.
Get the next move →?embed=1 to the URL) that strips the site chrome and fits in an iframe. The embed carries one link back to AGI Scorecard. Copy-paste iframe code is on this page.Working through the underlying questions instead? Browse all AGI questions →