Real-time control over every AI credit, limit, and dollar.

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July 1, 2026

2026 Rank: #1867

Stigg

Israel Stigg AI monetization

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Real-time control over every AI credit, limit, and dollar.

Real-time Control Real-Time Enforcement AI Management AI Monetization AI Credit System Transaction MeteringFree + from $331/mo

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Overview Releases Pricing Pros & Cons Prompts Reviews Q&A

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Overview Discussion 1

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Overview

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.

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Initial release

July 1, 2026

Initial release of Stigg.

Author

Gabriel Manor

@gabriel-manor

Company

Stigg

🇮🇱 Israel

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Beginner

Joined: June 2026

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Freemium

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$331/month

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Monthly

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AI monetization Stigg

Israel Stigg AI monetization

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Mor Levy Gaier

Jul 12, 2026

@ initial release

Rated it

@Stigg

removes every obstacle for AI usage we could imagine

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Pros and Cons

Pros

Real-time enforcement

Financial-grade credit infrastructure

Rapid deployment model

High event-per-second metering rate

Per user spend controls

Billing system integration

Ownership of subscription data

Prevents token budget overrun

Priority consumption feature

Establishes expiry rules

User-Codebase Independence

Prevents potential fraud

Entitlements for quick feature shipping

Seamless integration with existing systems

Consolidates pricing and packaging

Centralized entitlements and provisioning

Built-in usage metering

Robust Subscription Management

Versioning, Lineage and Migrations support

Embeddable UI widgets

Prevents vendor lock

Bi-directional sync feature

Low latency entitlement checks

Real-time caching

Supports offline operations

Delivered over Edge Network

Capable of processing high-volume events

Fault tolerant

Extensible

Automated failover

Asynchronous data replication

Built-in idempotency

Auditing and logging

View 28 more pros

Cons

Complex integration

Requires real-time decision capability

Expenditure closely monitored

Budget cap limitations

Rapid deployment may confuse

High event-per-second rate demanding

Requires existing billing systems

Subscription and usage data management

Ledgers and wallets need management

Dependency on Stigg's financial infrastructure

View 5 more cons

Q&A

What is Stigg?

Stigg is a runtime tool specifically formulated for AI products that allows for the effective management and monetization of AI features in real-time.

What is the purpose of Stigg for AI products?

Stigg serves the purpose of treating every AI request as a spend decision. It controls what a given customer, user, or agent is allowed to do, permitting real-time control over every AI credit, limit, and dollar spent. Its aim is to ensure growth remains profitable without compromising functionality or speed.

How does Stigg handle AI requests?

Stigg processes every AI request as a spend decision, providing control over what every customer, agent, or user is allowed to do. For effective management, each limit, entitlement, and credit expenditure is verified before a token surpasses its allocated budget.

Can you tell me more about Stigg's real-time enforcement feature?

Stigg's real-time enforcement feature ensures that millions of AI requests are decided in less than 10ms. It checks every limit, entitlement, and credit expenditure in real-time before a token exceeds its budget, ensuring immediate and accurate spending decisions.

How does Stigg incorporate financial infrastructures such as wallets and ledgers?

Stigg leverages a financial-grade credit infrastructure, equipped with features such as wallets, ledgers, and credit expenditure. These allow for advanced financial management of AI services, incorporating regulation of burn-downs, priority consumption, and implementing expiry rules.

What are Stigg's key features?

Key features of Stigg include real-time control over AI credits, limits, and dollars; transaction metering; spend decision making; a robust AI credit system and financial infrastructure; rapid deployment of AI models; real-time enforcement; a comprehensive governance system; integration with existing billing systems; ownership of subscription and usage data; independent user-codebase, and provisions for fraud prevention and efficiency.

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What does Stigg's entitlement feature do?

Stigg's entitlement feature allows AI features to be shipped swiftly. The entitlement logic resides outside of the user's codebase, enabling rapid deployment of a new model, tier, or feature without having to extensively modify the existing system.

How fast is Stigg's real-time metering?

Stigg performs real-time metering at a remarkably high event-per-second rate. This feature ensures that every transaction is captured and accounted for in real-time, providing an accurate and granular view of AI usage.

Can you explain Stigg's governance features?

Stigg is equipped with governance features that provide self-serve spend controls, ensuring a per user, per team, and per agent budget cap. These governance controls allow organizations to regulate spending easily and prevent overspending on AI resources.

How does Stigg integrate with existing billing systems?

Stigg integrates with existing billing systems seamlessly, working alongside them without necessitating migration. This allows organizations to enhance their AI management and monetization capabilities without overhauling their existing platforms.

What control does Stigg provide over subscription and usage data?

With Stigg, organizations maintain full ownership of their subscription and usage data, independent of the billing vendor. This feature gives organizations ultimate control and ensures data privacy and security.

Can you elaborate on Stigg's user-codebase independence?

Stigg's user-codebase independence means that the entitlement logic lies outside of the user's codebase. This allows for the rapid deployment of a new model, tier, or feature, and ensures that AI feature upgrades or adjustments do not necessitate radical changes to existing codebases.

Can Stigg help in fraud prevention and efficiency?

While Stigg doesn't directly engage in fraud prevention, its stringent real-time tracking and enforcement policies aid in eliminating fraudulent activities by ensuring that every transaction and AI request is accounted for. It also promotes efficiency by automating many aspects of AI feature management and monetization.

What is Stigg's AI budget cap?

Stigg provides a budget cap per user, per team, and per agent, allowing for control over the spending on AI features. This ensures that usage does not surpass allocated budgets, helping to manage costs effectively.

What is the concept of spend decision making in Stigg?

In the context of Stigg, spend decision making refers to the system's process of treating every AI request as a spending decision. It controls what each customer, user, or agent can do, ensuring immediate decisions regarding the allocation and use of resources.

How does Stigg operate as a runtime tool for AI products?

As a runtime tool for AI products, Stigg seamlessly manages and monetizes all AI features in real-time. By treating every AI request as a spending decision and providing comprehensive real-time enforcement, Stigg effectively governs all aspects of AI usage, including credits, spending limits, and dollar valuation.

What are the benefits of using Stigg?

Benefits of using Stigg include: real-time control over AI functions, streamlined operations by treating each AI request as a spend decision, easy integration with existing systems, user-codebase independence, and precise real-time enforcement. It also ensures complete ownership of subscription and usage data, protecting the privacy and integrity of data.

How does Stigg ensure all transactions are captured and aggregated?

Stigg ensures that all transactions are captured and aggregated by offering real-time metering at an extremely high event-per-second rate. It accurately records every transaction, allowing organizations to meticulously track AI feature use and associated expenditures.

Can you talk about Stigg's rapid AI deployment feature?

Stigg's rapid AI deployment feature is facilitated by the fact that its entitlement logic resides outside of the user's codebase. This means that new models, features, or tiers can be implemented rapidly without having to make major changes to the basic framework of the user's system.

What real-time controls does Stigg provide?

Stigg provides real-time control over every credit, limit, and dollar associated with AI usage. From entitlements to spending caps, every aspect of AI management and financial control is made immediate and accurate, facilitating improved efficiency and reduced wastage of resources.

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Stigg

Overview

Supported features