Every signal.One defensible story.

Turn the sports internet into a fan experience you can actually use. MegaHuddle finds the story forming across approved feeds, resolves every post to the right people and moments, and gives your team a traceable path from discovery to publish.

What it does

Monitor, search, rank, cluster, and route emerging stories across approved social, video, news, and owned channels.

How it resolves

Handles, aliases, mentions, and clips resolve to canonical athletes, teams, competitions, events, and moments, with confidence and lineage attached.

Data required to power it

Required: authorized social or video post feeds, account and entity identifiers, timestamps, engagement metrics, media metadata, and source-rights terms.

NFL preview · Live posts, teams, players & depth charts

Explore the NFL schedule through both teams’ perspectives. Pick a week and matchup to see separate team scoreboards and the latest official posts, side by side.

What it does

Publish both official team feeds in one fan-ready matchup while comparing reach, engagement rate, response velocity, narrative lift, and share of attention.

How it resolves

Scheduled home and away teams resolve to their canonical NFL identities and official social accounts. The preview shows the latest team posts, with source timestamps, independently of when the selected game takes place.

Data required to power it

Required: authorized posts for both teams, team and account identifiers, the game schedule, timestamps, engagement metrics, media metadata, and play-by-play for moment alignment.

American football · Rival feeds & matchup intelligence

Turn late scratches, transactions, and position changes into one trusted picture of who is ready now. Update once, keep every downstream surface aligned, and stop publishing conflicting roster truth.

What it does

Publish depth in game-ready position order, compare roster states, surface availability, attach verified player social identities, and deliver the same hierarchy to every downstream experience.

How it resolves

Canonical player, team, season, position, and confirmed social-account IDs combine with effective dates, transaction logic, verification state, and configurable source precedence.

Data required to power it

Required: current team depth chart and roster, ordered positions, player and team identifiers, verified social-account mappings, status or availability, transactions, effective dates, and source precedence.

Football · Roster, availability & hierarchy

Build a trusted newsroom around any league, team, player, competition, or event without reading the same story 40 times. Newsroom preserves source perspective, connects coverage to the right entities and moments, and reveals what is new, missing, or gaining authority.

What it does

Create a focused newsroom for a league, team, player, competition, or event; monitor multiple news organizations at once, browse every source’s social mix, cluster developing coverage, and identify what is missing or over-indexing.

How it resolves

Publisher accounts and articles resolve to canonical sources, leagues, teams, players, competitions, events, topics, and publication timestamps.

Data required to power it

Required: authorized article, social, or video feeds; publication timestamps; league, team, player, competition, and event tags; source identifiers; and rights metadata.

Any sport · League, team, player & event news

Replace hours of fragmented research with one decision-ready read. Briefing connects verified transactions, roster effects, audience movement, editorial angles, commercial implications, and unresolved questions, then assigns the next action to the right team.

What it does

Generate scheduled or on-demand briefs by team, league, market, partner, event, or executive priority, including verified facts, implications, risk, owners, deadlines, and evidence.

How it resolves

MegaHuddle deduplicates coverage, aligns transaction time and identity, distinguishes confirmed facts from analysis, weighs source authority, and connects every recommendation to supporting evidence.

Data required to power it

Required: official transactions and rosters, schedules, team and league releases, trusted reporting or transcript feeds, timestamps, entity identifiers, audience signals, rights metadata, and source-priority rules.

NFL · Trade, roster & executive intelligence

Give every athlete, team, event, story, clip, and commercial relationship one durable identity. The graph resolves fragmented records without losing history, so teams stop rebuilding the same connections product by product.

What it does

Search and traverse athletes, teams, competitions, venues, events, content, partners, and signals as one connected intelligence layer.

How it resolves

Deterministic IDs, alias matching, source precedence, effective dates, and confidence scoring merge records without erasing disagreement.

Data required to power it

Required: stable entity identifiers, rosters, schedules and events, aliases, relationship records, effective dates, and source provenance.

WNBA · Identity & relationship intelligence

Volume reports the past. Velocity finds the next headline. See which athletes, plays, and narratives are accelerating against their real baseline. Act while the audience opportunity is still growing.

What it does

Detect spikes, rank acceleration, compare cohorts, watch entities, and alert teams when a signal crosses a meaningful threshold.

How it resolves

Cross-channel deduplication, entity clustering, platform normalization, baseline comparison, and anomaly scoring separate movement from noise.

Data required to power it

Required: timestamped content or conversation events, entity identifiers, engagement volumes, channel baselines, and historical comparison windows.

NCAA basketball · Momentum & anomaly detection

Turn a fleeting performance moment into qualified commercial action. Connect attention, brand fit, rights, inventory, audience, and delivery, then give sales teams the evidence to activate faster and defend the value.

What it does

Discover sponsor-fit moments, recommend category-relevant products, compare partners, verify available inventory, quantify narrative alignment, and package evidence for sales and renewal conversations.

How it resolves

Brands, categories, rights, inventory, athletes, content, audiences, and campaign windows connect through one governed commercial graph.

Data required to power it

Required: rights and inventory records, sponsor categories, content and engagement metrics, audience attributes, campaign windows, and valuation inputs.

Tennis · Brand fit, inventory & partnership value

Make every screen react like it is watching the same game. GameDay Live resolves plays, scores, lineups, injuries, odds and line movement, clips, triggers, and audience response into one event state so products update together, not one integration at a time.

What it does

Power live timelines, court and shot charts, possession context, odds and line-movement cards, injury intelligence, alerts, second-screen modules, editorial cues, sponsor moments, and downstream API updates from one game state.

How it resolves

Game clocks, possessions, shot coordinates, participants, score state, roster and injury changes, licensed market snapshots, media, and audience signals align to canonical game and moment IDs.

Data required to power it

Required: live schedule and game identifiers, score and possession state, clock, play-by-play, shot coordinates and outcomes, participants or lineups, injury and availability feeds, licensed odds snapshots with timestamps, event timestamps, rights metadata, and delivery triggers.

Basketball · Real-time event, shot & market intelligence

Know the action behind the emotion. Fan Intent separates hype from likely behavior, builds consent-aware cohorts, recommends an ordered journey, and measures what worked. You can use those findings to improve watch, share, attend, buy, advocate, and retention outcomes with a reason you can explain.

What it does

Track sentiment by entity and moment, classify action intent, compare consent-aware cohorts, surface drivers, recommend multi-step journeys, apply suppression rules, and measure downstream outcomes.

How it resolves

Language, reactions, behavior, identity, event context, consent state, and historical outcomes combine into explainable intent cohorts with confidence and eligibility attached.

Data required to power it

Required: consented behavioral or response events, content engagement, entity and moment identifiers, audience attributes, historical outcomes, delivery eligibility, purpose and consent metadata, and outcome events.

Combat sport · Sentiment, intent & audience action