| What it does | Forecast the world. Measure what holds up.
| AI-native forward deployed engineering software for enterprise customer deployments
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| Stage | Not given
| Startup
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| Founded | Not given
| 2025
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| Based in | Not given
| 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 during launch for all plans. Developer: $0/month (1 customer, 2 environments). Startup: $249/month or $2,988/year (10 customers, 25 environments). Growth: $849/month or $10,188/year (75 customers, 150 environments). Enterprise: Custom pricing. If using Meetext's AI model, charged on usage at ap
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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
| - Supports 14 enterprise destinations including Slack, Teams, ChatGPT, Claude, Salesforce, ServiceNow, HubSpot, Notion, Linear, Atlassian, Asana, Google Chat, Cursor and VS Code
- Personal data masking and usage budgets with kill switch
- Health checks, incident response and three-layer monitoring
- Customer-written acceptance criteria that rerun on each publish
- Hosted MCP endpoints and customer installation portals
- Cross-customer gap detection and pull request generation
- Permission-aware AI agent that requests confirmation before acting
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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
| - Automates the repeatable deployment work that scales linearly with customer count, avoiding the need to hire more forward deployed engineers
- Priced per customer environment rather than by API traffic or usage volume
- Verifies changes only when customer-written acceptance criteria pass, not just when code is deployed
- Includes AI agent for common operational tasks but all changes require human confirmation
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| Community votes | 0 | 0 |
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| DR (Domain Rating by Ahrefs) | 2 ▼ −4 (down) since last check | 7 ▲ +4 (up) since last check |
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| Trust Flow (Majestic) | 0 | 1 |
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| Citation Flow (Majestic) | 25 | 20 |
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| Referring domains (Majestic) | 29 | 7 |
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Headline Arena
Meetext