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Stigg

1.0.0

5

0

AI Monetization
Real-time control over AI credits, limits, and spending.
Input:
Output:
Stigg screenshot
Updated: Jul 1, 2026 Free + from from $331/month

Description

Stigg is a runtime tool specifically designed for AI products to effectively manage and monetize AI features in real-time. It is designed to handle every AI request as a spend decision and controls what each customer, user, or agent is permitted to do.

One of its core features is real-time enforcement, ensuring millions of AI requests are decided in under 10ms. Every limit, entitlement, and credit expenditure is checked before a token exceeds its budget.

Stigg also provides a financial-grade credit infrastructure that includes features like wallets, ledgers, burn-downs, priority consumption, and expiry rules.

Another feature is entitlements, where AI features can be shipped quickly. This is because the entitlement logic resides outside of the user's codebase, allowing for the rapid deployment of a new model, tier, or feature.

In addition, Stigg offers real-time metering at a very high event-per-second rate, thus ensuring every transaction is captured and aggregated. Stigg is also equipped with governance features that provide self-serve spend controls ensuring a per user, per team, and per agent budget cap.

This tool integrates seamlessly with existing billing systems, providing augmentation without requiring migration. Organizations retain full ownership of subscription and usage data, independently of the billing vendor.

In essence, Stigg serves as a comprehensive tool for managing and monetizing AI features effectively and efficiently in real-time.

Key Features

Real-time enforcement

Financial-grade credit infrastructure

Rapid deployment model

High event-per-second metering rate

Per user spend controls

Pricing Plans

Model
freemium
Packages
1 Package
Price Start From
from $331/month
Payment Model
monthly

Releases

Initial release of Stigg.

Reviews

Pros & Cons

Pros

Immediate enforcement capabilities

Robust financial credit framework

Expedited feature rollout process

Cons

Integration can be complex

Requires immediate decision-making capacity

Expenses are closely tracked

Q&A

New Released

New Released