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Meetext vs FN2

A side-by-side comparison built from both listings. Blank cells mean the company has not given that detail; we never guess.

Meetext compared with FN2
DetailMeetext logo Meetext FN2
What it doesAI-native forward deployed engineering software for enterprise customer deployments Autonomous AI research agents that deliver scheduled briefings on SEC filings, earnings, and market data with cited sources
StageStartup Not given
Founded2025 Not given
Based inNot given US
Pricing modelFreemium Freemium
PricingFree 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 Free tier available. Pro: $29/month with 7-day free trial, up to 7 Active Agent Slots (1 hourly plus 6 daily). Ultra: $89/month with up to 21 Active Agent Slots (3 hourly plus 18 daily). Max: $199/month with up to 42 Active Agent Slots (6 hourly plus 36 daily).
Key features
  • 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
  • Scheduled autonomous agents running on daily or hourly schedules
  • Live market data with interactive price and volume charts from one day to five years
  • Earnings call transcripts with key metrics including revenue, margins, segment results, and management guidance
  • SEC EDGAR filing analysis and citations
  • Macro data from FRED with year-over-year and month-over-month comparisons
  • Earnings call transcript search by meaning and theme tracking across companies
  • Market screening and ranking across S&P 500 stocks
  • Prediction market data from Polymarket on upcoming events
  • Multi-channel delivery via email, Discord, in-app, and SMS notifications
  • Open API for integration with external agents and workflows
What makes it different
  • 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
  • Every claim in research briefings is linked to and cited from original sources
  • Scheduled agents run autonomously to deliver briefings before you ask
  • Uses live real-time data rather than trained knowledge, unlike ChatGPT
  • Open API allows any external agent to access grounded market research
  • Integrates with agent workflows via FN2 plugin for autonomous research desk management
Community votes00
DR (Domain Rating by Ahrefs)7 +4 (up) since last check17 +1 (up) since last check
Trust Flow (Majestic)16
Citation Flow (Majestic)2030
Referring domains (Majestic)7162

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