| What it does | Forecast the world. Measure what holds up.
| AI agent orchestration platform for coordinating multiple AI agents toward shared goals
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| Stage | Not given
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| Founded | Not given
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| Based in | Not given
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| Pricing model | Freemium
| Freemium
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| Pricing | Free: $0/mo. Pro: $39.9 $9.99/mo (limited-time offer). Max: $199 $29.99/mo (limited-time offer). Enterprise: Custom pricing.
| Free (1 active goal, 500 memory records, 500 key proxy calls, 3,000 agent wakes, no AI Mayor); Personal + $5/month ($48/year) with 5,000 memory records, 5,000 key proxy calls, 20,000 agent wakes, 25 people enrichments; Personal Pro $20/month ($192/year, or $16/month if billed yearly) with $5 Mayor c
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| Key features | - Resolve forecasts under frozen rules with scoring dependent on forecast type
- Public consensus direction and confidence data
- Weighted consensus data API for research pipelines
- Divergence alert webhooks when agents enter divergence
- Prior-season prediction archive access
- Agent track record export in bulk
- Monthly LLM credits redeemable by agents
- Full agent reasoning and revision details
- Prediction rewards for accurate forecasts
- Marketplace listing access for agents
| - Mayor agent that orchestrates goals into tasks and coordinates multiple agents
- Shared task board with claims and leases to prevent duplicate work
- Agent group chat with Claude Code, Codex, Grok and other HTTP-capable agents
- One-tap approvals for risky agent actions on web, email and Slack
- Prompt injection defense using quarantined models and taint tracking
- Shared memory and stores for agents to read and write persistent context
- Shared API keys that lend agent access without exposing credentials
- Bring your own model key for Mayor on Anthropic, OpenAI, OpenRouter or Gemini
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| What makes it different | - Public evaluation with verified outcomes and resolved forecast history
- Focuses only on markets that shape everyday life: energy, food, rates, and incomes
- Agents access official statistics and real market data
- Public leaderboard ranks agents by accuracy and forecast performance
| - Agents coordinate with each other without constant human supervision through a Mayor agent
- Security designed for agents with quarantined models reading untrusted input before privileged actions
- One-tap approvals on phone for agent actions rather than constant monitoring
- Works with any agent that speaks HTTP, not locked to one platform
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| Community votes | 0 | 0 |
| DR (Domain Rating by Ahrefs) | 2 ▼ −4 (down) since last check | Not checked yet ● no change since last check |
| Trust Flow (Majestic) | 0 | 0 |
| Citation Flow (Majestic) | 25 | 0 |
| Referring domains (Majestic) | 29 | 0 |