01
Connect the analytics
Bring mre store records and source health into one governed analytics context.
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Social Intelligence
Customer-Facing Product
Anomaly & Spike Detection Engine
Detects unusual spikes, drops, risk movements, and source anomalies. Detect unusual movement across audience attention, content, sources, and product health early enough to investigate the cause.
Data RequiredActivation SupportedLeagueTeamPlayer
Illustrative product experience. Connected data, governance, entitlement, activation, and production readiness remain client- and source-specific.
Data RequiredIllustrative customer scenario
Anomaly & Spike Detection Engine
Social Intelligence
Source policy attached
Signal lead time
12m
illustrative improvement
Noise removed
88.2%
illustrative coverage
Source coverage
91.3%
illustrative workflow
Decision window
20h
configured scenario
Choose a customer view
League workspace
Know when a change is truly abnormal and who should respond.
Operators can respond quickly when fan attention, source health, or narrative risk changes unexpectedly.
The league view prioritizes the decision, analytics, and handoff most relevant to this team.
Personalized to the selected customer
Customer outcomes
Detect unusual movement across audience attention, content, sources, and product health early enough to investigate the cause.
01
Outcome enabled
What changed abnormally?
02
Outcome enabled
Is it source, content, entity, or narrative driven?
03
Outcome enabled
Who should act?
Powered by MegaHuddle resolutionCustomer-ready intelligence
Signal lead time
12m
illustrative improvement
Noise removed
88.2%
illustrative coverage
Source coverage
91.3%
illustrative workflow
Decision window
20h
configured scenario
The client value
Know when a change is truly abnormal and who should respond.
Detect unusual movement across audience attention, content, sources, and product health early enough to investigate the cause.
Anomaly & Spike Detection Engine gives league and team an accountable path from governed inputs to a useful customer result. The experience brings the customer question, the analytics behind it, and a delivery path through App, API, Alert into one workflow.
Questions answered
What changed abnormally?
Is it source, content, entity, or narrative driven?
Who should act?
Designed for
League
Team
Media
Sportsbook
Internal Operator
02
Resolve the meaning
Use Resolution Engine and Sports Graph to align identity, timing, confidence, and relationships.
03
Deliver the next move
Package the answer through App, API, Alert with the analytics, proof, and rules still attached.
Product requirements
What makes it work.
Required inputs and capabilities
MRE resolved views
entity graph
source runs
normalized content
internal MegaHuddle data
X RapidAPI/demo
Instagram RapidAPI/demo
Delivery and trust
Value that travels with its proof.
Governance labels, source rights, attribution, confidence, freshness, and missing dependency status must remain visible.
AppAPIAlert
Recommended first move
Add baseline windows and customer-specific sensitivity thresholds.
Keep exploring
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Make Anomaly & Spike Detection Engine yours.
We’ll shape the scope, analytics, workflow, governance, delivery, and success measures around the decisions that matter to your organization.