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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.
Y Combinator, Sequoia Capital
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overview
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.
quick facts
| Attribute | Value |
|---|---|
| Developer | Upstash |
| Business Model | Hybrid (Freemium, Subscription SaaS, Usage-based) |
| Pricing | Free Tier, Pay As You Go ($0.20 per 100K commands), Fixed Plans (from $10/month) |
| Platforms | Web, API |
| API Available | Yes |
| Integrations | AWS Lambda, Cloudflare Workers, Vercel |
| HQ | San Francisco, USA |
| Funding | Seed, $5 million |
features
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.
use cases
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.
pricing
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.
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.
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.
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.
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.
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.
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.
Yes, Upstash Agent Analytics offers a free tier that includes 100 free requests. Beyond the free tier, it operates on a 'Pay As You Go' model, charging $0.20 per 100,000 commands, or users can opt for 'Fixed Plans' starting from $10/month.
Key features include tracking AI agent interactions and citations, Next.js middleware for request capture, data logging to Upstash Redis, a dashboard for traffic visualization, and a serverless architecture. It also benefits from Upstash's broader ecosystem, including managed Redis, Vector database capabilities, and the Agents API in Upstash Workflow for durable agent orchestration.
Upstash Agent Analytics is intended for website owners, developers, serverless teams, and early-stage startups who need to monitor and understand how AI agents like Claude, ChatGPT, and Perplexity interact with their web content, including citations and visits, to assess AI's impact on their site's visibility and traffic.
Upstash Agent Analytics provides specific AI agent tracking built on Upstash's serverless data platform. It differs from Pendo, which offers broader AI agent performance optimization, and from specialized vector databases like Pinecone. It competes with general serverless data platforms like Momento and broader open-source data platforms like Aiven by offering a focused suite of serverless data primitives for real-time AI applications.
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