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Upstash Agent Analytics Review

Upstash Agent Analytics is an AI tool designed to track and analyze the interactions of AI agents, such as Claude, ChatGPT, and Perplexity, with websites.

shipped Jun 15, 2026freemium
Domain rating80Monthly visits3.5K/mo
Upstash Agent Analytics - AI tool

Why it matters

1Tracks AI agent interactions and citations on websites, leveraging Next.js middleware.
2Utilizes Upstash Redis for data logging and provides a dashboard for traffic visualization.
3Operates on a freemium model, with Pay As You Go pricing starting at $0.20 per 100,000 commands.
4Upstash Redis, the underlying service, is SOC2 Type II compliant for Pro and Enterprise plans.

Stork’s verdict on Upstash Agent Analytics

Upstash Agent Analytics tracks specific AI agent interactions via Next.js middleware, but only if your site is built on Next.js.

Upstash Agent Analytics reviewed by Stork AI · stork.ai/en/upstash-agent-analytics

About Upstash Agent Analytics

Business Model
Subscription SaaS
Usage Pricing
$0.05 per 1K requests per request
Free Credits
100 free requests
Headquarters
San Francisco, USA
Team Size
20-50
Funding
Seed
Total Raised
$5 million
Platforms
Web, API
Target Audience
Developers and businesses looking for scalable data solutions

Pricing Plans

Free Tier
Free
  • Limited usage for prototypes
Pay as You Go
$0.20 per 100K commands / usage-based
  • Pay for what you use
Fixed Plans
From $10/month
  • Predictable pricing for regular usage

Cost Examples

  • Generate 1,000 requests: ~$0.05

Leadership

JoshCo-founder
Muhammed Akif KayaCo-founder
Ömer Faruk BayramCo-founder

Investors

Y Combinator, Sequoia Capital

overview

What is Upstash Agent Analytics?

Upstash Agent Analytics is an AI analytics tool developed by Upstash that enables website owners and developers to track and analyze the interactions of AI agents with their websites. It specifically monitors when AI agents like Claude, ChatGPT, and Perplexity cite or visit a user's site, capturing requests via Next.js middleware and logging data to Upstash Redis for dashboard visualization.

features

Key Features of Upstash Agent Analytics

Upstash Agent Analytics provides a serverless architecture for tracking AI agent interactions, leveraging managed Redis services for data storage and real-time processing. It integrates with Next.js middleware to capture agent requests and offers a dashboard for visualizing traffic data. The platform supports various data primitives including vector database capabilities and QStash for messaging, all under a pay-as-you-go pricing model. Recent developments include the Agents API in Upstash Workflow, introduced in February 2025, for durable agent orchestration.

  • AI agent interaction tracking (e.g., Claude, ChatGPT, Perplexity).
  • Website citation and visit monitoring by AI agents.
  • Next.js middleware for request capture.
  • Data logging to Upstash Redis.
  • Dashboard visualization of AI agent traffic.
  • Serverless architecture for scalability.
  • Managed Redis services for low-latency data access.
  • Event-recording approach for flexible data exploration.
  • Integration with Upstash Box for isolated agent execution environments (launched March 2026).
  • Agents API in Upstash Workflow for durable agent orchestration (introduced February 2025).

use cases

Who Should Use Upstash Agent Analytics?

Upstash Agent Analytics is primarily designed for serverless developers, early-stage startups, and small teams who need to understand the impact of AI agents on their website's visibility and traffic. It is particularly useful for founders experimenting with AI features and developers building data-intensive applications that require insights into AI agent engagement with their content.

  • Website owners and developers seeking insights into AI agent engagement.
  • Serverless developers building applications that interact with AI agents.
  • Teams monitoring the impact of AI on content visibility and traffic.
  • Founders and startups experimenting with AI features and requiring analytics.
  • Developers needing to track AI agent citations and visits to their sites.

pricing

Upstash Agent Analytics Pricing & Plans

Upstash Agent Analytics operates under Upstash's broader flexible pricing models, which include 'Pay As You Go' and 'Fixed' plans. The platform offers a free tier, allowing users to get started without initial costs. For Upstash Redis, which underpins Agent Analytics, the 'Pay As You Go' model charges $0.20 per 100,000 commands, with the first 1GB of storage free, then $0.25 per GB. Monthly bandwidth is free up to 200GB, then $0.03 per additional GB. Fixed plans for Redis start from $10/month, including 250MB storage and 50GB monthly bandwidth. A 'Prod Pack' is available for $200 per database, offering a 99.99% uptime SLA, RBAC, encryption at rest, SOC-2 compliance, and monitoring tool integration.

  • Free Tier: Free, includes 100 free requests.
  • Pay As You Go: $0.20 per 100,000 commands; $0.25 per GB storage after 1GB free; $0.03 per GB bandwidth after 200GB free.
  • Fixed Plans: From $10/month, includes 250MB storage and 50GB monthly bandwidth.
  • Prod Pack: $200 per database for production features and compliance.

Similar Tools

Upstash Agent Analytics vs Competitors

Upstash Agent Analytics positions itself within the broader Upstash serverless data platform, which offers managed Redis, Vector Database, and QStash. While Upstash provides the underlying infrastructure for AI agent analytics, direct competitors in the AI analytics space or related data services offer specialized or broader solutions.

1

Pendo specializes in measuring, analyzing, and optimizing the performance of AI agents and user engagement with AI-driven experiences.

Pendo directly competes with the 'Agent Analytics' aspect of Upstash, providing dedicated tools for understanding AI agent effectiveness and user interaction, whereas Upstash provides the underlying data infrastructure for such analytics.

2

Pinecone offers a fully managed, scalable vector database optimized for building AI applications like Retrieval Augmented Generation (RAG).

Pinecone directly competes with Upstash Vector, providing a specialized serverless vector database. While Upstash offers a broader set of data primitives, Pinecone focuses solely on high-performance vector search for AI.

3
Momento

Momento provides a fully managed, serverless caching, pub/sub, and vector index platform with a pay-per-request pricing model.

Momento is a direct competitor to Upstash's serverless Redis, QStash, and Vector offerings, providing a similar suite of serverless data primitives essential for real-time AI applications, with a comparable pay-per-use model.

4

Aiven offers an 'AI-ready Open Source Data Platform' providing fully managed open-source data services like Kafka, PostgreSQL, and OpenSearch across multiple clouds.

Aiven competes with Upstash on providing managed, scalable data infrastructure for AI applications, particularly for real-time data streaming (Kafka) and operational databases, but offers a broader range of open-source technologies compared to Upstash's more specialized serverless primitives.

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