Caveman
Reduce AI agent token costs with recoverable context compression and usage measurement.
Recommended for
- Solo / Indie
- Idea-Stage
- Pre-Seed
- Seed
- Series A
SSIE
Stage Fit Recommendations
Following data shows why Caveman is recommended for listed teams. The Fit Score represents the percentage fit of Caveman to each company stages, as calculated by the SSIE.
Stage
Fit Score
Fit Reasons
Solo / Indie
$0–$2,000 MRR
82- Free plan available (Fig. 0 4), no purchase required to start
- Rolls back failed changes
Idea-Stage
$0
87- Self-serve signup from $25.87/mo, no sales call required
- Detects token waste in AI traffic
Pre-Seed
$0–$10k MRR
94- Routes requests to the cheapest model
- Compresses context before shipping
Seed
$10k–$100k MRR
89- Caches repeated prompts automatically
- Integrates with OpenAI-compatible SDKs
Series A
$100k–$500k MRR
82- Single sign-on with SAML and directory provisioning
- Role-based access control with admin audit logging
- Data residency and regional hosting controls
- Verifies savings with signed receipts
Description
Caveman is a tool that helps reduce AI agent token costs by adding recoverable context compression, measuring token usage, and providing practical guides for cost reduction. It offers a stack of products including Caveman Skill for less filler and same intent, Caveman Proxy for smaller context, and an Agent SDK for building agents. The platform also includes features like model routing at the gateway and agent observability. Caveman is designed to optimize AI agent usage and connect agent spend to shipped work, making it a valuable tool for developers and enterprises.
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Reviewed by a human. SSIE Fit Scoring.
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