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ActOnce Spend Gateway vs Subquadratic

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

ActOnce Spend Gateway compared with Subquadratic
DetailActOnce Spend Gateway logo ActOnce Spend GatewaySubquadratic logo Subquadratic
What it doesPolicy-driven spending controls for AI agents Efficiency is Intelligence
StageNot given Startup
FoundedNot given Not given
Based inNot given US
Pricing modelFreemium Paid
PricingFree: $0/month (open source, self-hosted). Pro: $24/month with hosted dashboard, 3 agents, 1,000 spend checks/month. Team: $99/month with 10 agents, 10,000 checks/month, team approvals. Business: $299/month with unlimited agents and checks. Free 100M tokens for new users. $0.04 per 1M tokens for input tokens.
Key features
  • Policy Engine with YAML configuration for amount limits, merchant allowlists, category blocks, business hours, and duplicate windows
  • Duplicate Detection using SQLite to prevent the same purchase twice within a configurable time window
  • Human-in-the-Loop approval with Telegram alerts and dashboard queue for purchases exceeding threshold
  • MCP-Native integration for OpenClaw, Hermes, and any MCP-compatible agent
  • Zero Credential Exposure with no access to cards, tokens, or Stripe credentials
  • Local-first architecture with all policy files, logs, and databases stored on your machine
  • Dry-run and simulation mode for testing policies before deployment
  • 384K token context window
  • Multimodal input support
  • 100K tokens processed in less than a second
  • Structured output for direct code use
  • Subquadratic Sparse Attention algorithm for efficient compute
  • $0.04 per 1M tokens pricing
  • Customer content not used for model training
  • Data retention limited to 60 days
What makes it different
  • Policy-driven rules that the agent cannot override, unlike prompt-based guardrails
  • Zero credential exposure means the gateway never sees payment cards or API keys
  • Duplicate detection with SQLite prevents duplicate purchases within a configurable time window
  • Native MCP integration works out of the box with OpenClaw, Hermes, Claude Code, and Cursor
  • First long-context decision model purpose-built for enterprise work
  • Frontier-level decision-making performance at 5-10x lower cost than frontier LLMs
  • Tied for #1 on Artificial Analysis Decision Index
  • Processes entire codebase or data room in single context window
  • Speeds agent reasoning from minutes to seconds
Community votes00
DR (Domain Rating by Ahrefs)21 no change since last check52 no change since last check
Trust Flow (Majestic)617
Citation Flow (Majestic)1937
Referring domains (Majestic)12654

5 details filled in for both companies.

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