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Token Ban List

Harper's Token Ban List decentralizes token revocation across CDNs to prevent misuse.

Solution

Token Ban List

Harper

at Harper

April 4, 2025

Harper

at Harper

April 4, 2025

Harper

at Harper

April 4, 2025

April 4, 2025

Harper's Token Ban List decentralizes token revocation across CDNs to prevent misuse.

Harper

Overview

Unauthorized account sharing and service misuse erode revenue and dilute the value proposition for paying customers. To avoid misuse in the era of expanding CDN strategies, multi-CDN token ban list solutions are required.

Drive Subscriber Growth by Ensuring Fair Use

Harper’s Token Ban List solution is an edge service that decentralizes token revocation and tracking processes to function across CDNs. It enables real-time awareness of compromised or already-in-use tokens worldwide while maintaining optimal user experience. Built to handle billions of tokens, Harper’s Token Ban List service ensures fair use while contributing to subscriber growth.

Getting Started

Ready to protect your service from misuse and strengthen your market position? Contact us to discuss your specific requirements and explore implementation options.

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INDEX

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VOD Anti-Piracy Rate Limiter

A rate-limiting system that utilizes Harper and Akamai Edge Workers to accept or deny VOD (Video on Demand) segment requests, thereby preventing piracy and abuse of streaming services.

VOD Anti-Piracy Rate Limiter

A rate-limiting system that utilizes Harper and Akamai Edge Workers to accept or deny VOD (Video on Demand) segment requests, thereby preventing piracy and abuse of streaming services.

VOD Anti-Piracy Rate Limiter

A rate-limiting system that utilizes Harper and Akamai Edge Workers to accept or deny VOD (Video on Demand) segment requests, thereby preventing piracy and abuse of streaming services.

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VOD Anti-Piracy Rate Limiter

A rate-limiting system that utilizes Harper and Akamai Edge Workers to accept or deny VOD (Video on Demand) segment requests, thereby preventing piracy and abuse of streaming services.

Harper Named a Sample Vendor in the Gartner® Hype Cycle™ for Digital Commerce, 2026

Harper was named a 2026 Gartner Hype Cycle for Digital Commerce Sample Vendor, recognized in Front-End Cloud for its unified runtime combining data, application logic, messaging, and agent development together.

Harper Named Winner of Two 2026 Data Breakthrough Awards

Harper has been named the winner of two 2026 Data Breakthrough Awards: Open Source Data Platform of the Year and In-Memory Solution of the Year. Harper is the only company recognized in two categories this year, reflecting its unified runtime for agentic engineering that co-locates database, vector search, cache, and application logic into a single multi-threaded process.

Overview

Unauthorized account sharing and service misuse erode revenue and dilute the value proposition for paying customers. To avoid misuse in the era of expanding CDN strategies, multi-CDN token ban list solutions are required.

Drive Subscriber Growth by Ensuring Fair Use

Harper’s Token Ban List solution is an edge service that decentralizes token revocation and tracking processes to function across CDNs. It enables real-time awareness of compromised or already-in-use tokens worldwide while maintaining optimal user experience. Built to handle billions of tokens, Harper’s Token Ban List service ensures fair use while contributing to subscriber growth.

Getting Started

Ready to protect your service from misuse and strengthen your market position? Contact us to discuss your specific requirements and explore implementation options.

‍

Harper's Token Ban List decentralizes token revocation across CDNs to prevent misuse.

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Harper's Token Ban List decentralizes token revocation across CDNs to prevent misuse.

Download

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Harper's Token Ban List decentralizes token revocation across CDNs to prevent misuse.

Download

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Explore Recent Resources

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Personalization is a data-delivery problem. Every architectural choice reduces to two distances: compute to user, and compute to fresh data. This piece maps five real architectures against both axes, scored on a concrete retailer workload where stale or slow data breaks the business.

Aleks Haugom

Senior Manager of GTM

5 Architectures for Web Personalization

Personalization is a data-delivery problem. Every architectural choice reduces to two distances: compute to user, and compute to fresh data. This piece maps five real architectures against both axes, scored on a concrete retailer workload where stale or slow data breaks the business.

5 Architectures for Web Personalization

Personalization is a data-delivery problem. Every architectural choice reduces to two distances: compute to user, and compute to fresh data. This piece maps five real architectures against both axes, scored on a concrete retailer workload where stale or slow data breaks the business.

5 Architectures for Web Personalization

Personalization is a data-delivery problem. Every architectural choice reduces to two distances: compute to user, and compute to fresh data. This piece maps five real architectures against both axes, scored on a concrete retailer workload where stale or slow data breaks the business.

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Tutorial

Harper 5.1 adds int8 quantization, dropping index size by roughly 3x, search throughput improves roughly 5x, and p99 latency falls from ~9s to ~0.5s under load. The tradeoff is approximately 1% recall degradation before reranking.

Kris Zyp

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5x Faster HNSW Vector Search with int8 Quantization

Harper 5.1 adds int8 quantization, dropping index size by roughly 3x, search throughput improves roughly 5x, and p99 latency falls from ~9s to ~0.5s under load. The tradeoff is approximately 1% recall degradation before reranking.

5x Faster HNSW Vector Search with int8 Quantization

Harper 5.1 adds int8 quantization, dropping index size by roughly 3x, search throughput improves roughly 5x, and p99 latency falls from ~9s to ~0.5s under load. The tradeoff is approximately 1% recall degradation before reranking.

5x Faster HNSW Vector Search with int8 Quantization

Harper 5.1 adds int8 quantization, dropping index size by roughly 3x, search throughput improves roughly 5x, and p99 latency falls from ~9s to ~0.5s under load. The tradeoff is approximately 1% recall degradation before reranking.

Vercel vs. Harper Benchmark Test

Harper runs live, personalized apps 4–14x faster than Vercel by unifying data, logic, cache, and messaging in one runtime.

Comparison

Harper runs live, personalized apps 4–14x faster than Vercel by unifying data, logic, cache, and messaging in one runtime.

Harper

Vercel vs. Harper Benchmark Test

Harper runs live, personalized apps 4–14x faster than Vercel by unifying data, logic, cache, and messaging in one runtime.

Vercel vs. Harper Benchmark Test

Harper runs live, personalized apps 4–14x faster than Vercel by unifying data, logic, cache, and messaging in one runtime.

Vercel vs. Harper Benchmark Test

Harper runs live, personalized apps 4–14x faster than Vercel by unifying data, logic, cache, and messaging in one runtime.

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CEO & Co-Founder

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AI coding works in a sandbox because the environment is trivially narrow. Real systems have history, constraints, and blast radius. Coding agents make sound decisions only when the architecture is explicit and shared. Opinion isn't a constraint on agentic engineering, it's what makes it possible at scale.

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AI coding works in a sandbox because the environment is trivially narrow. Real systems have history, constraints, and blast radius. Coding agents make sound decisions only when the architecture is explicit and shared. Opinion isn't a constraint on agentic engineering, it's what makes it possible at scale.

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Forward Deployed Engineer

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A nature-restoration game with six biomes, 150 animals, and a real food web — built with a single Harper component as the entire backend. One YAML file wires the database, API, content seeder, and static host. The same binary ships offline on itch.io.

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A nature-restoration game with six biomes, 150 animals, and a real food web — built with a single Harper component as the entire backend. One YAML file wires the database, API, content seeder, and static host. The same binary ships offline on itch.io.

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A nature-restoration game with six biomes, 150 animals, and a real food web — built with a single Harper component as the entire backend. One YAML file wires the database, API, content seeder, and static host. The same binary ships offline on itch.io.

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The web spent a decade optimizing for browsers. JavaScript-heavy rendering, dynamic CMS templates, and client-side hydration made pages beautiful and machines blind. AI answer engines retrieve, parse, and cite content directly. If your best content is trapped behind a render cycle, a cleaner source wins.

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The web spent a decade optimizing for browsers. JavaScript-heavy rendering, dynamic CMS templates, and client-side hydration made pages beautiful and machines blind. AI answer engines retrieve, parse, and cite content directly. If your best content is trapped behind a render cycle, a cleaner source wins.

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