Solutions / Operations

Spot disruption signals earlier and respond before costs compound

TrendsAGI detects real-time disruption signals. When momentum spikes, your team receives a structured alert so it can escalate, open incidents, and start runbooks faster.

See example alert
Real-time detection
Instant webhook notifications when signals spike
Rules & thresholds
Keywords, regions, categories, severity routing
Built for action
Incident workflows, runbooks, automation hooks

By the time it’s “confirmed,” it’s already expensive

Ops teams don’t get burned by the event—they get burned by the delay between signal and action. Manual monitoring and late alerts shrink the response window.

Reduce surprise incidents
Catch early signals before they become operational downtime
Shorten time-to-decision
Clear thresholds and routing remove ambiguity
Trigger consistent response
Automate runbooks so response doesn’t rely on one person

Track the disruptions your ops team actually manages

Create watchlists that match your risk surface area. When a pattern spikes, your team receives a structured alert it can route into incidents, escalations, and runbooks.

Severe weather / closures
Trigger incident + rescheduling + stakeholder update workflows.
Port strikes / labor action
Trigger escalation + supplier / carrier check-in workflows.
Geopolitical instability
Trigger risk review + lane restrictions workflows.
Power / connectivity disruptions
Trigger site / region continuity workflows.
Regulatory / border disruption signals
Trigger compliance + routing review workflows.
Example: storm closure early warning

When “airport closure” + “storm” crosses your threshold for a region, TrendsAGI triggers a webhook that opens an incident, notifies on-call, and starts a rescheduling checklist.

How the alert workflow works

Detect
Watch real-time velocity and anomaly signals.
Decide
Rules by keyword, region, thresholds, severity.
Trigger
We call your webhook with a structured payload.
Act
Your systems run the workflow (incident, escalation, playbook).

Example alert payload

Your webhook receives a predictable structure so you can route alerts, assign severity, and trigger automation.

POST https://your-webhook-endpoint
X-Webhook-Signature: <hmac-sha256>
Content-Type: application/json

{
  "trend_name": "Airport closures from winter storm",
  "category": "operations/weather",
  "severity": "high",
  "velocity": 2400,
  "timestamp": "2026-01-31T18:42:00Z",
  "summary": "Closure signals accelerating across Northeast hubs",
  "source_link": "https://trendsagi.com/briefings/...",
  "recommended_next_steps": [
    "Open incident",
    "Notify on-call",
    "Start rescheduling runbook"
  ]
}
View API docs → · Read Research ->

Alerts you can explain and defend

Definitions, methodology, and how to choose thresholds to reduce noise.

Read Research ->

FAQ

How early are alerts?▾

Alerts trigger when signals cross your thresholds—often before official summaries consolidate the story.

How do we reduce noise?▾

Start with a narrow watchlist and conservative thresholds. Then tighten rules based on what actually impacts your operations.

Can this trigger actions automatically?▾

Yes—via webhook. Many teams start by creating an incident + notifying an owner, then expand to deeper automation.

Do I need engineering help?▾

If you can receive a webhook, you can start. Engineering helps if you want richer routing and automated runbooks.

Turn disruption monitoring into a repeatable response workflow

Your team should not rely on manual monitoring. Use structured alerts to move from signal to incident response faster.