Developer Tools1 month ago
Agent Observability that Just Works at Scale - Oodle.ai | Oodle AI
Monitor LLM calls, APIs, and infrastructure performance for AI agents.
kirankgollu · HN
Oodle.ai – $10 per million agent traces
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Monitor LLM calls, APIs, and infrastructure performance for AI agents.
kirankgollu · HN
Oodle.ai – $10 per million agent traces
Observability platform for AI agent pipelines that detects failures and explains root causes.
@VaraadDurgaay · X
Solving the prb of observability in ai agents
Centralize logs, search fast, and understand errors instantly with AI. Peeng is the observability platform built for small engineering teams.
@Peengtech · X
Control every AI request with governance rules enforced at runtime before calls execute.
thinkneo_ai · Product Hunt
ThinkNEO Control every AI request before it reaches your models
GlobiGuard inspects sensitive data, authorizes actions, and logs every governed AI decision before it executes.
@guidegdm · X
check it out, giving free credits to ai founder for the whole August
Paste two AI agent versions to compare governance and permission changes.
stoicstoic · HN
Show HN: Diff two versions of an AI agent and catch silent permission changes
Web analytics and network observability for humans and AI agents. Track journeys, Core Web Vitals, API latency, and errors.
@Astrodevil_ · X
Independent model readings, explicit disagreement, human decision gates, and verifiable research receipts.
@chatmouthai · X
Add evaluation reports to your AI agent with a shareable URL that scores performance.
adeeonline · HN
AgentsProof – a small project for testing AI agents
Monitor web apps and APIs with instant Telegram alerts for downtime and performance issues.
u/AgitatedLemon6836 · Reddit
I've got too many sites to monitor at this point I have been working on a bunch of different SAAS ideas at this point, some of them are just parked right now as I have decided to market others or have lost passion for the project. Its hard to check logs in a unified fashion for a bunch of different sites, I have backend's on Fly io, Heroku, Vercel, Hetzner and AWS (for varying reasons, some consulting, some work etc). just wanted like text message updates for things with a summary, like "3
Audit AI-built applications for security vulnerabilities and receive proof of findings.
u/mrtrly · Reddit
I asked ChatGPT 20 different ways who could fix a half-built app. It never named my company once. I do codebase rescue for founders in exactly that spot, so that one stung. There are already plenty of tools that measure this kind of AI visibility, a CDN even ships one free, so I built mine mostly to see my own number, and it confirmed the bad news: near zero. The measuring turned out to be the easy part. What none of the tools do, and what I actually care about, is the fix: getting the mode
Check AI agent outputs and actions against your policies before execution; get allow, block, rewrite, or escalate decisions.
u/danielbaker06072001 · Reddit
Most AI agent SaaS is just bad security with a nice dashboard Give a new employee access to Stripe, GitHub, Slack, and your CRM on day one, and you’d call it reckless. Give the same access to an AI agent, and we call it “autonomous.” That isn’t innovation. It’s skipping basic security because the demo looks cool. Full disclosure: I’m building TrustLoopGuard around this problem, so I’m obviously biased. While testing one MCP connection, I realized I had decided what the agent could a