API observability that debugs for you
zicroe :: runtime / observability / ai
Monitor your APIs.Understand every error.
Zicroe collects structured logs from your APIs and connects them to your GitHub repositories. When something breaks in production, you get a clear explanation — root cause, affected files, and suggested fixes — without digging through logs yourself.
request_stream
tail -f
ai_analysis
root_cause
Null reference when accessing user.email during checkout
affected_file
src/controllers/checkout.controller.js
suggested_fix
Add a guard before accessing user.email
metric_01
1
call
Per request log
No agents or SDKs
metric_02
∞
stacks
Language agnostic
Node · Python · Go · Ruby
metric_03
git
linked
Repo connected
Errors tied to source
metric_04
<1s
insight
To first signal
Automatic on errors
The problem
Production errors shouldn't be a treasure hunt
Most teams know something failed. Few know why — at least not quickly.
01
Logs without context
You see a 500 status and an error string, but no clear link to the code path that caused it. Debugging becomes guesswork.
02
Context switching kills momentum
Jump between log viewers, GitHub, and your IDE just to understand one production failure. Every minute counts.
03
Full APM is overkill
Enterprise observability tools are expensive, complex, and take weeks to set up. You just need to know what broke and how to fix it.
What is Zicroe?
Lightweight observability with built-in debugging
Zicroe is an API observability platform for teams that ship fast and need to debug production errors without digging through logs or spinning up a full APM stack. Ingest request logs with a single HTTP call, link your GitHub repo, and let AI do the detective work when things go wrong.
No agents. No per-host pricing. No week-long onboarding.
Centralized API logs
Every request in one place — method, endpoint, status, response time, and custom metadata. Filter, search, and drill into any log instantly.
GitHub-connected debugging
Link each application to its GitHub repository. Your codebase is indexed so error analysis understands real source files — not just stack traces.
AI root-cause analysis
Failed requests are investigated automatically. Get root cause, affected files, explanation, suggested fix, and a copy-ready patch.
Project hierarchy
Organize by project, environment, and application. Keep staging, production, and client work cleanly separated with isolated keys per app.
Patch pull requests
When analysis produces a verified patch, open a GitHub pull request directly from the dashboard — or copy the diff and apply it yourself.
Bring your own AI keys
Paste your provider API key — OpenAI, Google, AWS Bedrock, Anthropic, or Groq. Zicroe uses predefined models per provider; you control billing directly with your vendor.
Bring your own key
Your API keys. Your bill. Your control.
Zicroe is a bring-your-own-key platform. Add your provider API key and we handle the rest — including which model runs for analysis. You pay your provider directly; we never resell tokens or bundle inference into your subscription.
OpenAI
provider.enabled = true
provider.enabled = true
AWS Bedrock
provider.enabled = true
Anthropic
provider.enabled = true
Groq
provider.enabled = true
From error log to fix
Every failed request comes with an explanation
When a request fails, Zicroe automatically investigates the error and tells you what went wrong — root cause, which files are involved, and how to fix it. Everything you need to act on is right in your dashboard.
- 01Root cause with confidence score
- 02Affected files in your repository
- 03Plain-language explanation
- 04Suggested fix and copy-ready patch
- 05One-click GitHub pull request
POST /api/checkout · 500
errorroot_cause
Null reference in user lookup when email is missing
affected_files
src/controllers/users.controller.js
suggested_fix
Add a guard before accessing user.email
patch
Unified diff — copy and apply
Organized by design
A hierarchy that mirrors how you ship
Projects contain environments. Environments contain applications — each with its own API key. Keep client work, internal tools, and production services cleanly separated without spinning up separate accounts.
hierarchy.tree
depth=3
project
E-commerce Platform
environment
Production
application
checkout-api
How it works
Up and running in four steps
Go from signup to AI-powered debugging in minutes. Integrate with a single HTTP POST from any language or framework.
Create your workspace
Sign up, connect GitHub, add your model API keys, and create your first application with an ingestion key.
Index your repository
Your linked GitHub repo is indexed automatically so error analysis understands your actual codebase — not just stack traces.
Send logs
POST request metadata after each API call with a simple JSON payload. No agents or heavy SDK — just an HTTPS call from any language.
Get answers
Error logs are analyzed automatically. Root cause, affected files, fix suggestions, patches, and optional GitHub PRs appear in your dashboard.
Integration
One HTTP call.Any language.
No agents or heavy SDKs. After each API request, POST a JSON payload with the method, endpoint, status code, response time, and optional error message. Each application has its own API key for secure, isolated ingestion.
Express · FastAPI · Rails · Laravel · Go · any HTTP client
ingest.http
POST /api/logs
X-API-Key: YOUR_APPLICATION_API_KEY
Content-Type: application/json
{
"timestamp": "2026-06-11T14:30:00.000Z",
"method": "POST",
"endpoint": "/api/checkout",
"statusCode": 500,
"responseTime": 142,
"errorMessage": "Cannot read property 'email' of null",
"stack": "TypeError: Cannot read property 'email' of null\n at checkout (src/routes/checkout.js:48:22)",
"metadata": { "orderId": "ord_123" }
}node.example.js
// Node.js — add after your route handler
await fetch("https://api.zicroe.com/api/logs", {
method: "POST",
headers: {
"Content-Type": "application/json",
"X-API-Key": process.env.ZICROE_API_KEY,
},
body: JSON.stringify({
timestamp: new Date().toISOString(),
method: req.method,
endpoint: req.path,
statusCode: res.statusCode,
responseTime: Date.now() - start,
errorMessage: err?.message,
stack: err?.stack,
}),
});Built for
Teams that ship APIs and need answers fast
//SOLO
Solo developers & startups
Ship fast without standing up Datadog or New Relic. One HTTP call after each request and you're covered when production breaks at 2 AM.
//AGCY
Agencies & consultancies
Manage multiple client APIs from one dashboard. Separate projects and environments per client, with isolated keys and clear log boundaries.
//BACK
Backend teams
Monitor microservices, webhooks, and internal APIs from a single dashboard. Know which service failed, why, and where to look in the repo.
Why Zicroe
Observability without the overhead
You don't need a six-figure APM contract to understand why your API returned a 500.
| metric | zicroe | traditional_apm |
|---|---|---|
| Setup time | Minutes | Days to weeks |
| Integration | Single HTTP POST | Agents, SDKs, config |
| Error debugging | Automatic root-cause analysis | Manual log digging |
| Code context | Indexed from your GitHub repo | Separate tools |
| Fix delivery | Copy patch or open GitHub PR | Manual implementation |
| Pricing complexity | Straightforward | Per-seat, per-host, per-GB |
FAQ
Common questions
01What is Zicroe?+
Zicroe is an API observability platform that collects structured request logs from your services and automatically investigates production errors. Link your GitHub repo and every failed request comes with a clear explanation — root cause, affected files, and suggested fixes.
02Do I need to install an agent or SDK?+
No. Zicroe ingests logs via a simple HTTPS POST with a JSON body. Add one call after each API request from any language or framework — Node, Python, Go, Ruby, PHP, or anything that can make HTTP requests.
03What data should I send in each log?+
At minimum: timestamp, HTTP method, endpoint, status code, and response time in milliseconds. For failed requests, also send errorMessage and stack (e.g. err.stack in Node.js). You can include request IDs, IP addresses, user agents, and arbitrary metadata for additional context.
04How does error analysis work?+
When you link a GitHub repository to an application and an error log arrives, Zicroe automatically investigates the failure and returns actionable results — root cause, affected files, explanation, suggested fix, and an optional patch you can copy and apply.
05Can I separate staging and production?+
Yes. Zicroe uses a project → environment → application hierarchy. Create separate environments for dev, staging, and production, each with their own applications and API keys.
06Do I need my own AI API keys?+
Yes. Zicroe uses your inference API keys (OpenAI, Google, AWS Bedrock, Anthropic, or Groq) for error analysis. Create a model API key in the dashboard and assign it to each application. You control usage and billing directly with your provider.
07Can I create a pull request from a suggested fix?+
When analysis produces a verified patch, you can open a GitHub pull request from the log detail page with one click, or copy the unified diff and apply it manually.
08Is my source code stored?+
Zicroe connects to your GitHub repository to understand your codebase when analyzing errors. Your code stays in GitHub — Zicroe uses it for context, not as a replacement for version control.
Ready to ship
Stop guessing.Start fixing.
Create an account, link your first repository, and start sending logs. The next production error comes with an explanation.
featured_on
