LIVE BUILD · PRESENTING TODAY

Stop Firefighting.
Start Understanding.

OpsCord ingests events from CircleCI, GitHub, Kubernetes & Datadog, then uses AI causality scoring to tell you exactly what broke — and why.

Request Demo →
LIVEEVENT STREAM — DEMO1,247 events ingested
⬡GitHubpushfeat: causality scoring engine v2
◎CircleCIbuildpipeline #2847 passed — 3m 12s
⎈K8spodpod/api-7f8b crash-loop detected
0+
Events ingested
0 active
Incidents resolved
0%
Causality accuracy
<40ms
p99 ingestion latency
CircleCIGitHubKubernetesDatadogAWS SQSRedisPostgreSQLExpress.jsSlackReactCircleCIGitHubKubernetesDatadogAWS SQSRedisPostgreSQLExpress.jsSlackReact

// CAPABILITIES

Everything your on-call team needs

From raw webhook noise to a ranked root-cause list in under 40ms.

Core AI
🔍

Causality Scoring Engine

AI ranks which event caused the incident. Not just correlation — actual root cause with per-event confidence scores and signal ranking.

root causeconfidence %multi-signalranked list
Event Layer
⚡

Real-Time Ingestion

Webhooks, API watch & polling. Express.js receiver processes all sources in under 40ms p99 with Redis-backed deduplication.

events / second
847
Dashboard

🎯 Unified Incident View

Every incident, every source, every signal — one dashboard. Ranked by causality, filterable by severity, and updated in real-time.

ACTIVE INCIDENTS
K8s pod crash → deploy #2847Critical
Redis cache miss stormHigh
GitHub webhook spikeMedium
Integrations
🔗

Multi-Source Intelligence

All normalized into one event stream. One schema. One place.

CircleCIGitHubKubernetesDatadog
Outputs
🔔

Instant Alerting

Push causality-ranked summaries to your team instantly. Fully programmable via REST API.

Slack BotReact DashboardWebhooks APIMobile App

// PIPELINE

From noise to root cause

Four stages. Sub-second. Every time.

STEP 01
📥
Events In

CircleCI, GitHub, K8s & Datadog push events via webhooks or polling

STEP 02
⚙️
Normalize

Event Processor & Normalizer creates a unified event schema

STEP 03
🧠
AI Score

Causality Scoring Engine ranks root causes with confidence scores

STEP 04
📣
Alert Team

Results delivered to Slack, Dashboard & Webhooks. Sub-second.

// LIVE DEMO

Watch it work

This simulation shows how OpsCord processes real-time events and produces causality scores for active incidents.

◆ CAUSALITY SCORE · latest incident
K8s pod OOMKilled87%
CircleCI deploy #284764%
Redis cache miss31%
ROOT CAUSE IDENTIFIED
🔍 K8s pod OOMKilled
Confidence: 87% · 3 contributing factors
LIVEstreaming events

// ARCHITECTURE

Built to scale

Event-driven microservices. PostgreSQL + Redis + SQS. Express.js REST API.

10 services3 data stores4 input sources

// WHY OPSCORD

Your current tools cost a fortune

And they still don't tell you the root cause.

ToolCausality AIReal-timeUnified ViewPrice/mo
PagerDuty✗✓partial$299
Datadog APM✗✓✗$420
OpsGenie✗partial✗$198
OpsCord✓✓✓TBD

// BUILDING IN PUBLIC

We're building this live

OpsCord is in active development. Join early to shape the product and get beta access at launch.

✓ Architecture Complete

System design, microservices structure and data flow finalized.

✓ Event Ingestion

Webhooks and polling from CircleCI, GitHub, K8s and Datadog live.

✓ Auth (Stack Auth)

Authentication and user management fully implemented.

◎ Causality EngineIN PROGRESS

AI scoring engine currently in active development.

○ Production Deploy

Cloud infrastructure setup and production deployment.

○ Beta Launch

Public beta release with early access for waitlist members.