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CortexOps
Datadog for AI agents — trace, eval, and monitor LLM apps
AI agents fail silently in production. A prompt change breaks 20% of cases, PII leaks into logs, latency spikes go undetected. CortexOps fixes this — instrument any LangGraph or CrewAI agent in 3 lines, gate every deployment against a golden eval dataset, and auto-redact PII before it hits storage. Free: 5k traces/month. Pro: $49/mo. pip install cortexops
Hey PH! I'm Ashish — Senior AI Engineer at PayPal
by day, founder of CortexOps by night.
After years building LLM agents in fintech, I kept
hitting the same wall: agents fail silently in
production. A prompt change breaks 20% of cases,
nobody notices until a customer complains.
CortexOps fixes that. 3 lines of code instruments
any LangGraph or CrewAI agent. Every run is traced,
every deployment is gated against a golden dataset,
and PII is auto-redacted before it hits the logs.
Free tier is genuinely free — 5k traces/month,
no credit card.
Would love your honest feedback — what's missing
for your stack?
About CortexOps on Product Hunt
“Datadog for AI agents — trace, eval, and monitor LLM apps”
CortexOps was submitted on Product Hunt and earned 1 upvotes and 1 comments, placing #446 on the daily leaderboard. AI agents fail silently in production. A prompt change breaks 20% of cases, PII leaks into logs, latency spikes go undetected. CortexOps fixes this — instrument any LangGraph or CrewAI agent in 3 lines, gate every deployment against a golden eval dataset, and auto-redact PII before it hits storage. Free: 5k traces/month. Pro: $49/mo. pip install cortexops
On the analytics side, CortexOps competes within Open Source, Artificial Intelligence and GitHub — topics that collectively have 575.7k followers on Product Hunt. The dashboard above tracks how CortexOps performed against the three products that launched closest to it on the same day.
Who hunted CortexOps?
CortexOps was hunted by Ashish Verma. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
For a complete overview of CortexOps including community comment highlights and product details, visit the product overview.
Ashish Verma