AI log analyzer

AI Log Analysis Without Sending Your Data to the Cloud

Name: Grep Badger
Price: 29 USD
Availability: InStock
Rating: 5 (1 reviews)
Author: Grep Badger

Grep Badger is an AI log analyzer for developers who want answers from their logs without forcing everything through a cloud service. Use Ollama for private, self-hosted analysis, or connect OpenAI or Anthropic when hosted models make more sense.

The problem

Copy, switch, paste, wait, scroll back. Repeat.

Logs are noisy. Finding the signal takes time — you grep, you filter, you scroll, you stare. When you want a second opinion from an AI, the ritual is the same every time: copy a stack trace, switch to a browser tab, paste, wait, read, switch back — and find the place in the log where you left off. Every new theory means another round, with more lines pasted each time. The tool meant to speed you up keeps interrupting you.

And that's assuming you can even use cloud AI. When your logs have production data, pasting into a cloud AI tool is a policy violation waiting to happen. You need answers. You don't need a security incident.

The solution

Ask questions. Get answers. Keep your data.

Grep Badger brings AI directly to your logs. Use Ollama for private, self-hosted analysis, or connect OpenAI or Anthropic if you prefer hosted models. Ask "What caused the spike at 3pm?" or "Show me every database connection failure from the last deployment" and get answers quickly.

Natural language queries

Ask about your logs like you would ask a teammate.

Local-first AI

Use Ollama for private, self-hosted analysis, or connect OpenAI or Anthropic if you prefer cloud models.

Private by default

With self-hosted Ollama, your log data stays in your environment.

Works offline

With local Ollama, no internet required after model download.

Optional cloud providers

OpenAI and Anthropic are supported when hosted models fit the job better.

Model choice

Use the Ollama models you want and choose the provider that fits the job.

The prompt library

Select lines in the log viewer to give the AI its context — no copy-pasting into a browser tab — then ask. Four groups, from first look to write-up:

First look

Ask before you filter anything. Select a recent chunk of the log as context and get the lay of the land.

"What is the most common error type in this log?"

"Summarize what happened in this file."

"Are there any patterns in the error timestamps?"

Drill into an error

Select the exact lines — a stack trace, a failed request, one error and its neighbors — then ask.

"What error is happening here?"

"What might have caused this failure?"

"What should I investigate next?"

Connect the dots

Select two clusters of lines — before and after a deploy, two error types, two time windows — and compare.

"What do these exceptions have in common?"

"Which of these errors look related to each other?"

"What changed between these two time windows?"

Wrap it up

When the investigation is done, let the AI write the summary while you still have the context loaded.

"Summarize every exception from this deployment for an incident report."

"Write a short summary I can paste into a ticket."

Better answers come from better selections — start with a small, focused set of lines. And like any AI, it can be wrong: verify important conclusions against the log itself.

Three steps from log to insight

1. Open your log — local file or SSH into a server
2. Enable AI — use Ollama for self-hosted analysis, or OpenAI / Anthropic for cloud models
3. Ask a question — type in plain English, get an answer in seconds

No formatting. No preprocessing. Just choose the provider that fits your workflow.

Private by default. Flexible by design.

Grep Badger works best when you want private, self-hosted analysis, but it does not lock you into one provider:

• Privacy: With self-hosted Ollama, your data stays in your environment.
• Flexibility: Use Ollama for self-hosted analysis, or connect OpenAI or Anthropic when cloud models fit better.
• Cost: Use Ollama without per-query API pricing, or choose a hosted provider when it is worth it.
• Control: You choose the provider and model that fit the job.
• Offline: With local Ollama, no internet required after setup.

What AI log analysis actually costs

Every number here is first-party or open source. We deliberately do not quote OpenAI, Anthropic, or log-platform prices — they change — so check the provider's pricing page for current rates.

Setup	Up front	Ongoing	Where the logs go
Grep Badger + Ollama	$29 one-time*	$0 — Ollama is free, open source (MIT)	Your machine
Grep Badger + OpenAI or Anthropic	$29 one-time*	Metered per token, billed by the provider — only when you ask	The provider you choose — you decide what to send
Cloud observability platform	Subscription	Recurring — typically metered on ingestion and retention	Their cloud

*Two-week free trial before you pay anything. The license price is from our pricing page; Ollama's MIT license is public.

The alternatives all require trust

General-purpose cloud chat tools

You paste your logs. They go to a server you don't control. Hope the provider's security is perfect.

Cloud observability platforms with AI

Uploads all logs to their cloud. Recurring cost. Tied to their platform forever.

Enterprise log analysis stacks

Enterprise pricing. Requires full infrastructure. Not even in the same conversation for small teams.

Grep Badger keeps AI close to your logs — self-hosted with Ollama when privacy matters most, or through supported cloud providers when that fits better.

Common questions

What can AI actually do with my logs?

Find errors by type, summarize exception patterns, answer targeted questions about time ranges or specific errors, detect clusters in error timestamps, and correlate log lines you'd normally have to piece together manually.

Do I need to format my logs first?

No. Grep Badger works with any text-based log format. JSON, syslog, nginx, Apache, custom application logs — the AI handles whatever you give it.

Which model should I use?

If you want local, private analysis, Llama 3 and Mistral are the sweet spot in Ollama. CodeLlama is good if you want code-level reasoning. Larger models are more capable but need more RAM. If you prefer hosted models, Grep Badger also supports OpenAI and Anthropic.

Does this replace grep?

It complements grep. Use grep for exact pattern matching. Use AI when you need to ask “what happened here?” in plain language and get a contextual answer.

Can I use AI on SSH-connected servers?

Yes. Logs on remote servers get the same AI treatment as local files. Where processing happens depends on the provider you choose — self-hosted Ollama keeps analysis in your environment, while cloud providers process the data you send to them.

Does the AI cost extra?

No subscription. Grep Badger is a one-time $29 license that includes the AI panel, and you can try the full app free for two weeks. With Ollama — free and open source — there is no per-query cost. If you connect OpenAI or Anthropic, you pay those providers directly for what you use; nothing goes through us.

Stop pasting logs into cloud AI tools.

One-time purchase. No subscription. No cloud.

More about local analysis View logs on remote servers