LIVE — 2.4M events/sec ingested across 847 active tenants · Last correlation: 02:43:00 UTC

One API. Every log. Zero blind spots.

Ingest swallows billions of log lines per second — firewall events, cloud trails, endpoint telemetry — and surfaces the single alert that matters before your analyst finishes their coffee.

INGEST // DETECTION DASHBOARD
STREAMING
KQL>index=* sourcetype IN (firewall,cloudtrail,endpoint) | correlate span=5m
● LIVE
FirewallCloudTrailEndpointDNSIAMNetFlowK8sCRITICAL
7 sources correlated● 1 CRITICAL● 3 HIGH
2026-02-24 02:43:00 UTC
Threat FeedACTIVE
02:43:00Lateral movement detected — 7 hopsCRITICAL
02:42:51Privilege escalation via IAM roleHIGH
02:42:44Outbound DNS anomaly — C2 patternHIGH
02:42:38K8s pod exec from external IPMEDIUM
Ingest Rate/ sec
2.41M
events per second
0B
Log lines/sec
0
Source integrations
<0ms
Correlation latency
0+
Detection rules
01 // Cost Calculator

Run the numbers.
See the gap.

Drag the sliders to match your environment. Watch Splunk and Sentinel costs diverge in real time — every GB, every source, every day of retention.

Daily Volume50 GB
1 GB500 GB
Source Integrations12
1100
Retention Period90d
7 days365 days
IngestBEST VALUE
$630/mo
Splunk
$6,950/mo
+$6,320/mo more
Sentinel
$4,240/mo
+$3,610/mo more
Annual savings vs Splunk
$75,840
Based on 50GB/day · 12 sources · 90-day retention
Deploy Now →

* Estimates based on published list pricing. Splunk: $4.50/GB ingest. Microsoft Sentinel: $2.76/GB. Ingest pricing is volume-tiered. Actual costs may vary.

02 // Architecture

One endpoint.
Infinite sources.

Every log source — regardless of format, schema, or transport — hits the same API endpoint. Ingest handles normalization, deduplication, and correlation in the pipeline.

Log Sources
🔥
Firewall
Palo Alto / Fortinet
☁️
Cloud Trail
AWS / GCP / Azure
💻
Endpoint
CrowdStrike / SentinelOne
🌐
DNS / Proxy
Zscaler / Cloudflare
🔑
Identity
Okta / AD / Entra
K8s / Container
Datadog / Prometheus
Pipeline
Ingest API
Single endpoint any schema
Normalize
Schema-on-write ECS / OCSF
Correlate
Graph engine 5ms window
Detect
4,200+ rules ML anomaly
Outputs
🚨
SIEM Alerts
Webhook / Slack / PagerDuty
SOAR Playbooks
Automated response chains
🔬
Threat Intel
STIX/TAXII export
📋
Compliance
SOC2 / ISO27001 reports
🔗
API Webhooks
Any downstream system
🗄️
Cold Archive
S3 / GCS long-term
< 5ms
End-to-end correlation latency
99.99%
Ingestion pipeline uptime SLA
0 config
Schema changes needed at source
03 // Detection Library

4,200+ rules.
Tuned, not templates.

Every rule maps to a MITRE ATT&CK technique, ships pre-tuned against false-positive baselines, and can be forked and customized in KQL without leaving the UI.

4,200+
Detection rules
98.7%
Avg precision rate
< 2min
Mean time to alert
DR-4421 // KQLCRITICAL
Lateral Movement via SMB
MITRE: T1021.002847 detections this week
KQL Query
index=endpoint action="smb_connect"
| stats count by src_ip, dest_ip
| where count > 10
| join dest_ip [search index=firewall action=allow]
04 // API Sandbox

Two lines of code.
Every log ingested.

The Ingest API accepts any log format over HTTPS. No agents for collection, no schema mapping, no ETL pipelines. Send logs. Get alerts.

POSThttps://api.ingest.io/v1/stream
p99: 12ms
import ingest

client = ingest.Client(api_key="sk_live_...")

# Stream 10,000 events in a single call
response = client.ingest(
    source="palo-alto-fw-01",
    events=log_batch,          # list[dict] — any schema
    schema="auto",             # auto-detect or specify
    correlation=True,          # enable real-time correlation
)

print(f"Ingested: {response.events_accepted:,}")
print(f"Correlated: {response.alerts_triggered} alerts")
Response // 200 OK4.2ms
{
  "request_id": "req_01HNKP2X4Z9QM7VWSR",
  "events_accepted": 847291,
  "events_dropped": 0,
  "bytes_ingested": 284019234,
  "schema_detected": "palo-alto-traffic-v9.1",
  "correlation_time_ms": 4.2,
  "alerts_triggered": 3,
  "alerts": [
    {
      "id": "alert_DR4421_01HNKP",
      "rule": "DR-4421",
      "severity": "CRITICAL",
      "name": "Lateral Movement via SMB",
      "confidence": 0.97
    }
  ],
  "pipeline_stage": "correlation_complete",
  "ingest_rate_eps": 2410000
}
05 // Deploy Agent

Streaming in 12 minutes.
Detecting in 15.

The Ingest agent auto-discovers log sources, negotiates schemas, and begins streaming without a single config file. Pick your platform, run one command.

🐧 Linux // Install
< 2 minutes
curl -sSL https://get.ingest.io | sh -s -- --token sk_live_...

Supports Ubuntu 20.04+, RHEL 8+, Debian 11+

Typical Deployment Timeline
InstallT+0:00
Agent installed, token authenticated
DiscoverT+0:02
Log sources auto-detected across host
StreamT+0:05
First events flowing into pipeline
4
CorrelateT+0:08
Correlation engine warmed up on first batch
5
AlertT+0:12
First detection rules firing against your data
Ready to deploy?

Stop paying Splunk tax.

14-day free trial. No credit card. Bring your own log sources and see your first correlation alert within the hour.

🔒SOC 2 Type II
🇪🇺GDPR Compliant
📋ISO 27001
99.99% SLA