SaaS Metrics
Product Positioning & Context
AUDR (Agent Usage Detail Record) is an open standard, for capturing who initiated an agent run and what it cost across every system that run touches. Inspired by the telecom industry's Call Detail Record, AUDR defines a common JSON schema that any harness, router, or billing system can emit and ingest. Three core rules make it work: a shared run ID minted by the harness, clear field ownership, and strict merge rules where conflicts are rejected and corrections are new records.
Related Ecosystem & Alternatives
Discover adjacent products, open-source repositories, and developer tools sharing similar technical architecture.
Deep-Dive FAQs
What is AUDR by Chargebee?
AUDR by Chargebee is a digital product or tool described as: Open standard for tracking agent run costs
Where did AUDR by Chargebee originate?
Data for AUDR by Chargebee was aggregated directly from the Product Hunt community ecosystem, representing raw developer and early-adopter sentiment.
When was AUDR by Chargebee publicly launched?
The initial public indexing or launch date for AUDR by Chargebee within our tracked developer communities was recorded on October 6, 2026.
How popular is AUDR by Chargebee?
AUDR by Chargebee has achieved measurable traction, logging over 296 traction score and facilitating 46 recorded discussions or engagements.
Which technical categories define AUDR by Chargebee?
Based on metadata extraction, AUDR by Chargebee is categorized under topics such as: Open Source, Developer Tools, GitHub.
What are some commercial alternatives to AUDR by Chargebee?
Our semantic intelligence engine identifies potential commercial alternatives in the SaaS space, such as CertNode Reflex, which offers overlapping value propositions.
How does the creator describe AUDR by Chargebee?
The original author or development team describes the product as follows: "AUDR (Agent Usage Detail Record) is an open standard, for capturing who initiated an agent run and what it cost across every system that run touches. Inspired by the telecom industry's Call Detail ..."
Community Voice & Feedback
love it, observability becomes more important with scale, something simple like this was definitely missing.
Observability for Agents is a big deal these days. It is something many organizations are trying to solve for but the solutions are limited. This looks pretty cool
Does it handle runs where one agent calls other agents or tools from different vendors? also is there a sample JSON somewhere I can look at to get started?
Thank you everyone for the love and ideas to take this further. We are launching AUDR along with an initial set of adapters to get you'll going. We'd love for you to co-build adapters or share what you want us building out next. Nemo Relay: https://github.com/openaudr/audr/tree/main/adapters/nemo-relayLiteLLM: https://github.com/openaudr/audr/tree/main/adapters/litellmMerge Gateway: https://github.com/openaudr/audr/tree/main/adapters/merge-gatewayVercel SDK: https://github.com/openaudr/audr/tree/main/adapters/vercel-aiMastra: https://github.com/openaudr/audr/tree/main/adapters/mastraLago Sink: https://github.com/openaudr/audr/tree/main/sinks/lagoChargebee Sink: https://github.com/openaudr/audr/tree/main/sinks/chargebee
rejecting conflicting records seems safer than silently picking a cost. when a router reports usage before the provider's final bill arrives, how do you tie the correction back without counting the run twice?
looks super sharp. how is the migration process for existing subscribers?
does it support automatic usage warnings before a user hits their monthly limit?
pricing for AI apps is moving so fast right now, flexible tiers are definitely needed.
An open standard for tracking who started an agent run and what it cost across every system it touched is the kind of plumbing this space needs before billing can be trusted, and borrowing the call detail record idea is a smart frame. A shared run ID minted by the harness is the crucial part. Curious how quickly other harnesses have picked up the schema.
Can we plug this into our existing stripe account or do we have to migrate everything over?
usage based billing is such a headache to build from scratch. glad someone simplified this.
The Call Detail Record parallel is spot on. Telecom figured out decades ago that you don't need one switch to see the whole call. Also appreciate how precisely scoped this is against what already exists - that it sits on top of OTel's Gen AI conventions rather than competing with them, and it's explicitly the upstream half of FOCUS. Excited to see where this goes, especially with more teams starting to run multi agent stacks where the fragmentation only gets worse.
Excited about this launch, which helps make AI consumption explainable and not just measurable.
@Chargebee pioneered the SaaS industry (first launched here in 2014), and so they do in the AI economy.Agents call tools, hit APIs, even pay per request with products like pay.sh by @Solana Foundation. AUDR (Agent Usage Detail Record) is the logical next step, and it's open. @Chargebee pushed the initial commit, adopted by @Mastra, @Merge, and more.Star this repo: github.com/openaudr/audr
Discovery Source
Product Hunt Aggregated via automated community intelligence tracking.
Tech Stack Dependencies
No direct open-source NPM package mentions detected in the product documentation.
Media Tractions & Mentions
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Deep Research & Science
No direct peer-reviewed scientific literature matched with this product's architecture.