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Narrative & Insights

Customer-Facing Product

Automated Insight Generation

Generates concise insights, explanations, and recommendations from resolved records. Generate concise, governed explanations and recommendations from resolved records while keeping inputs and confidence easy to inspect.

Data RequiredActivation SupportedLeagueTeamPlayer

Illustrative product experience. Connected data, governance, entitlement, activation, and production readiness remain client- and source-specific.

Data RequiredIllustrative customer scenario

Automated Insight Generation

Narrative & Insights

Source policy attached

Briefing time

18m

illustrative improvement

Source coverage

94.8%

illustrative coverage

Actions routed

27

illustrative workflow

Hours returned

9h

configured scenario

Choose a customer view

Customer type
League workspace

Turn data into usable language without giving up accountability.

Customers can turn governed data into usable product copy, briefs, alerts, and summaries.

The league view prioritizes the decision, analytics, and handoff most relevant to this team.

Personalized to the selected customer

Customer outcomes

Generate concise, governed explanations and recommendations from resolved records while keeping inputs and confidence easy to inspect.

01

Outcome enabled

What does this mean?

02

Outcome enabled

What should we say?

03

Outcome enabled

What should happen next?

Powered by MegaHuddle resolutionCustomer-ready intelligence

Briefing time

18m

illustrative improvement

Source coverage

94.8%

illustrative coverage

Actions routed

27

illustrative workflow

Hours returned

9h

configured scenario

The client value

Turn data into usable language without giving up accountability.

Generate concise, governed explanations and recommendations from resolved records while keeping inputs and confidence easy to inspect.

Automated Insight Generation 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, SDK into one workflow.

Questions answered

What does this mean?

What should we say?

What should happen next?

Designed for

League

Team

Media

Developer

Internal Operator

01

Connect the analytics

Bring mre store records and source health into one governed analytics context.

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, SDK 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.

AppAPISDKReport

Recommended first move

Add richer intent classification and customer-specific tone controls.

Explore the showcase

Keep exploring

Related product paths.

View all products

Configure the opportunity

Make Automated Insight Generation yours.

We’ll shape the scope, analytics, workflow, governance, delivery, and success measures around the decisions that matter to your organization.

Start a product conversation