- Brand
- Unknown
- Category
- Pending
- Primary Subcategory
- Observability, Monitoring & Incident Response
Integration details
Description
Averth is a cost-analysis plugin for AI agents: it measures the fully loaded cost of every agent run. Submit a sanitized batch of runs and get the true cost per accepted outcome, the share of spend burned by the most expensive runs, and an offline replay of the cost policies that would have prevented the waste. Analysis is retrospective only. Averth never enforces policies, never touches live systems, and needs no account, no integration, and no raw prompts or customer data.
- Integration type
- Plugin
- Verification status
- Not applicable
- Platform
- ChatGPT
- Category
- Pending
- Primary Subcategory
- Observability, Monitoring & Incident Response
- Secondary Subcategories
- None listed
- Brand
- Unknown
- Access
- No account required
- First tracked
- 2026-10-29
- Tool count
- 3
- Market
- US
The broad Category that contains the Primary Subcategory.
The Primary Subcategory used for this profile’s headline score.
Other Subcategories where the Integration is listed.
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What discovery looks like

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Competing in ChatGPT Observability, Monitoring & Incident Response
View Category3 tools agents can invoke
Averth ChatGPT Plugin FAQ
How the directory, categories and Discoverability Score work.
Read the methodologyHow do I improve Averth's ChatGPT Plugin discoverability?
The levers are the listing surface agents actually read: names, descriptions, keywords, tool metadata, and registry health. Which lever matters depends on where discovery breaks, which is what continuous measurement shows.
What are Averth alternatives on ChatGPT?
As of 2026-10-29, Averth competes with API Status Check, Better Stack, Biggy, Birdie, Connhex, Datadog, Durabull: BullMQ & Redis Admin, elmah.io MCP and 23 more in ChatGPT Observability, Monitoring & Incident Response, ranked by public Discoverability Score.
Where is this profile measured?
This profile uses the geography attached to the latest public registry snapshot: US. Locale tags are intentionally omitted.