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Market movement, freshness, and memory

Stop betting with stale context.

Catch moves. Don't chase.

Kam gives bettors a second opinion before they act: what moved, what is stale, where markets disagree, and what to verify next.

Not a pick seller. Not a sportsbook. A faster way to see whether the number is still worth your attention.

The problem Kam solves

You are not short on picks. You are short on fresh context.

Kam is built for the moment before action: did the number move, is the source stale, do markets disagree, and what single thing should you verify before you bet, wait, track, or pass?

First useful read

The first session should prove Kam saved a check.

The React Native app should not open as a generic chatbot. It should guide the user from one watched spot to one useful Market Shape card in under a minute.

01

Pick a watched spot

Start with one game, team, future, prop, or saved read instead of a blank chat box.

02

Ask what changed

Kam checks the board, prediction-market context, freshness, and your saved notes.

03

Get the next check

The answer ends with whether to wait, track, pass, save, or verify one missing input.

The problem

The market moves in more places than one.

Odds screens show lines. Prediction markets show belief. Schedules shift. Injury context changes. Futures move before the story is obvious. Kam connects the pieces and explains the read in plain English.

Too many places to check

Sportsbooks, prediction markets, futures, injuries, schedules, and notes live in different places.

Too little source context

A line move means little unless you know what changed, when it changed, and whether the source is fresh.

Too many late decisions

Most mistakes happen when you chase a number without checking the market shape.

Market Shape

Sportsbooks show the betting market. Prediction markets show the belief market. Kam shows the shape between them.

Kam compares both and explains where they agree, where they disagree, and what that means for your read.

Current question

Are sportsbooks and Polymarket telling the same story?

Sportsbook implied58%
Prediction market64%
Liquidity checkThin

Watch the gap. Verify freshness. Do not chase a stale number.

What Kam watches

Kam connects the pieces that usually stay scattered.

Sportsbook odds, prediction markets, futures, schedules, watchlists, and saved reads become one market read instead of disconnected tabs.

Sportsbook board

Spreads, totals, moneylines, movement, stale boards, and missing odds.

Prediction markets

Polymarket game markets, futures, probabilities, liquidity, and disagreement.

Schedules

Team schedules, game counts, start times, and planned events.

Watchlist

The games, teams, futures, and markets you actually care about.

Saved reads

Your thesis, caveats, source snapshot, and postgame review.

Futures

Championship markets, team momentum, market disagreement, and narrative shifts.

Chat workflow

Ask the market better questions.

Kam is built around chat because bettors think in questions, not dashboards.

What changed on my watchlist?
Where do sportsbooks and Polymarket disagree?
What does Polymarket think about the NBA championship?
Do we have sportsbook odds or only prediction-market context?
Is this board stale?
How many Yankees games are in June?
What should I watch before I bet this game?

Kam answer format

Source

Sportsbook board unavailable. Prediction-market context available.

Move

Polymarket is more bullish than the current sportsbook read.

Caveat

Liquidity is thin and start time is not trusted from that source.

Next check

Verify current sportsbook odds before treating the gap as actionable.

Game detail

Every game gets a research workspace.

Open a game and see the sportsbook market, prediction-market context, market shape, freshness state, and saved read in one place.

Sportsbook odds

Spread, moneyline, total, and movement.

Prediction market

What Polymarket is pricing and whether liquidity supports the signal.

Market shape

Where markets agree, disagree, or go stale.

Ask Kam

Why the gap exists, what changed, and what to verify next.

Review

Whether your read was sharp, lucky, stale, or missing context.

Futures

Futures without the chaos.

Ask Kam who the market believes in, which futures are moving, and whether the sportsbook market and prediction market tell the same story.

Who is favored to win the NBA championship?

What does Polymarket think about the Lakers?

Which futures are moving this week?

Where is the market overconfident?

Trust standard

Built to avoid fake confidence.

Kam separates sportsbook odds from prediction markets, labels stale or missing data, shows caveats, and keeps the final decision human.

Freshness labels

Fresh, stale, delayed, unavailable.

Source separation

Sportsbooks are not prediction markets. Polymarket is not a sportsbook.

Missing-info warnings

Kam tells you when schedule, odds, start time, or market data is incomplete.

Human final decision

Kam sharpens the read. You make the bet.

No fake locks. No guaranteed picks. No hidden source blending.

React Native quality bar

Premium should feel quiet, fast, and recoverable.

The mobile app should use motion and feedback only where they help the user understand state, trust the answer, or recover from a broken flow.

Responsive taps

Buttons, chips, cards, and drawers should acknowledge touch immediately with quiet press feedback.

Useful loading states

Show the checks in progress: sportsbook movement, prediction-market context, freshness, saved reads.

Contextual support

A broken read should be reportable with game, trace, source freshness, and entitlement context attached.

Empty states that act

No watchlist should lead to add team, add game, add future, or ask first question.

Pricing

Serious market intelligence pricing: capped free access, a $29.99/month Go plan, and higher-priced Pro and Edge tiers for token-heavy market research.

Free

Try Kam with a heavily capped research workflow.

$0/ month

Get Free

Features

Built to help you move faster.

  • Small game, team, and market watchlist
  • Basic move cards
  • Very limited Ask Kam follow-ups
  • Local notes and basic saved reads
  • No heavy AI workflows

Free is intentionally capped to protect product quality and infrastructure cost.

Go

For casual bettors who want capped market checks without heavy token usage.

$29.99/ month

Get Go

Features

Built to help you move faster.

  • Everything in Free
  • Go watchlist capacity
  • Capped Ask Kam explanations with token-aware limits
  • Freshness and missing-data checks
  • Basic sportsbook context
  • Basic Market Shape cards
  • Light saved-read memory

The $29.99 tier is capped so entry users do not consume Pro-level AI, data, and infrastructure cost.

Pro

Popular

The serious-bettor plan for fuller market intelligence, deeper context, and heavier AI usage.

$99.99/ month

Get Pro

Features

Built to help you move faster.

  • Everything in Go
  • Sportsbook + prediction-market comparison
  • Market Shape cards
  • Higher Ask Kam token and context budget
  • Advanced explanations for complex line moves
  • Expanded watchlists, saved reads, and context
  • Futures market previews
  • Postgame review of your read
  • Usage caps designed for token-heavy workflows and durable gross margin

With a $500/month infrastructure floor, Pro is priced for serious users and heavier AI usage.

Edge

For daily bettors and model builders who need the highest usage and deeper market context.

$249.99/ month

Get Edge

Features

Built to help you move faster.

  • Everything in Pro
  • Highest watchlist and explanation capacity
  • More monitored markets, futures, and saved reads
  • Expanded exports and review workflows
  • Maximum memory, token budget, and context
  • Priority access to new market-intelligence features

Built to protect margins from power users who create the most token, data, logging, and ingestion cost.

Business

For teams sharing watchlists, reads, review, and source context.

$99.99/ user / month

Get Business

Features

Built to help you move faster.

  • Everything in Pro plus team workspace controls
  • Shared watchlists and read review
  • Team source context and saved reads
  • Member, role, and billing management
  • SAML SSO, MFA, and no training on workspace data

2+ users. Capacity and annual commitments can change by contract.

Enterprise

Enterprise-grade market intelligence, review, security, and support at scale.

Custom

Contact sales

Features

Built to help you move faster.

  • Expanded context windows for larger boards and files
  • SCIM, EKM, analytics, domain verification, and RBAC
  • Custom retention, encryption, and privacy controls
  • Regional data residency options
  • Priority support, SLAs, custom terms, and AI advisors

Scoped with sales and implementation teams before rollout.

Compare plans

Compare features across plans.

Plans scale from individual research to governed team workspaces. Limits and availability can change during early access.

Essentials

Ask Kam explanations
Free
Very limited
Go
Capped
Pro
Expanded
Edge
High
Business
Workspace
Enterprise
Custom
Read history
Free
Basic
Go
Light
Pro
Expanded
Edge
Maximum
Business
Workspace
Enterprise
Custom
Access on web, iOS, and Android
Free
Yes
Go
Yes
Pro
Yes
Edge
Yes
Business
Yes
Enterprise
Yes

Market intelligence

Watched spots
Free
Small
Go
Go
Pro
Expanded
Edge
High-volume
Business
Workspace
Enterprise
Custom
Advanced line-move explanation
Free
No
Go
Limited
Pro
Expanded
Edge
High
Business
Workspace
Enterprise
Custom
Sportsbook + prediction-market comparison
Free
No
Go
Basic
Pro
Yes
Edge
Yes
Business
Yes
Enterprise
Yes
Market Shape cards
Free
Basic
Go
Basic
Pro
Yes
Edge
Advanced
Business
Workspace
Enterprise
Custom
Futures market previews
Free
No
Go
No
Pro
Yes
Edge
Expanded
Business
Workspace
Enterprise
Custom
High-volume board watch
Free
No
Go
No
Pro
No
Edge
Yes
Business
Workspace
Enterprise
Custom
Card and answer speed
Free
Limited
Go
Standard
Pro
Fast
Edge
Fast
Business
Fast
Enterprise
Fastest
Largest board context
Free
Basic
Go
Go
Pro
Expanded
Edge
Maximum
Business
Workspace
Enterprise
Custom

Features

Uploads and multimodal notes
Free
No
Go
Basic
Pro
Expanded
Edge
Expanded
Business
Workspace
Enterprise
Custom
Connected tools and source context
Free
Basic
Go
Basic
Pro
Yes
Edge
Expanded
Business
Workspace
Enterprise
Custom
Custom workflow support
Free
No
Go
Limited
Pro
Yes
Edge
Expanded
Business
Workspace
Enterprise
Custom
Read memory
Free
Basic
Go
Light
Pro
Expanded
Edge
Maximum
Business
Workspace
Enterprise
Custom
Deep market read
Free
Limited
Go
Basic
Pro
Yes
Edge
Expanded
Business
Workspace
Enterprise
Custom
Watchlists, saved reads, and review workflows
Free
Limited
Go
Basic
Pro
Yes
Edge
Expanded
Business
Workspace
Enterprise
Custom

Privacy and Administration

Content used to train models
Free
Opt-out available
Go
Opt-out available
Pro
Opt-out available
Edge
Opt-out available
Business
No
Enterprise
No
Dedicated workspace
Free
No
Go
No
Pro
No
Edge
No
Business
Yes
Enterprise
Yes
SAML SSO and MFA
Free
No
Go
No
Pro
No
Edge
No
Business
Yes
Enterprise
Yes
Advanced enterprise controls
Free
No
Go
No
Pro
No
Edge
No
Business
Basic
Enterprise
Yes
Enhanced support and onboarding
Free
No
Go
No
Pro
No
Edge
No
Business
No
Enterprise
Yes

Pricing assumes a minimum infrastructure floor of about $500/month before heavier AI usage, payment fees, support, paid data, logging, email, analytics, and future ingestion.

The $29.99 Go plan is intentionally capped. Pro and Edge carry the token-heavy workflows that need higher prices.

Pricing is designed around an 80% gross-margin target, with COGS capped near 20% of subscription revenue.

Business and Enterprise can purchase additional credits or capacity.

Plan names, limits, and feature availability can change during rollout.

Why Kam Feels Different

Built for bettors who want fewer rushed bets, clearer source context, and a better market read before they fire.

Early access analyst

Daily board researcher

"Kam AI makes research feel less scattered. I can ask follow-up questions without rebuilding the whole picture from scratch."

Sports data operator

Workflow lead

"The connected workflow matters. The chat, data quality, and review loop feel like one product instead of a stack of disconnected tools."

Power user

Market watcher

"Kam AI helps me get to the useful question faster. That is the edge: not magic answers, but better use of time and context."

Frequently Asked Questions

Ask us anything!

hello@kam-ai.com
What is Kam AI?

Kam AI is an AI market intelligence workspace for sports bettors. It watches sportsbooks, prediction markets, schedules, watchlists, and saved reads so you can understand what changed before you bet.

What problem does Kam solve?

Kam helps you stop checking five tabs before every bet. It separates sportsbook odds from prediction-market context, flags stale or missing info, and keeps the read attached for review later.

Does Kam give picks?

No. Kam is not a picks app. It helps you see what moved, where markets agree or disagree, what is missing, and what to verify next.

Does Kam AI execute transactions for me?

No. Kam is built for watching, explanation, journaling, and review. It does not execute transactions, handle funds, or promise outcomes.

Who is Kam AI for?

Kam is for bettors who are tired of chasing steam, missing moves, and betting blind. It is built for people who want the market read before they fire.

Field notes

Field notes for Market Shape.

Learn how Kam separates sportsbook odds from prediction markets, checks freshness, and helps bettors understand the market before they bet.

View all field notes

Kam AI Framework

Kam AI Is Becoming an Operating System

Why Kam is moving from AI chat into a production loop of traces, labels, graders, fixtures, release gates, and agentic work.

9 min read

System Design

The Kam Intelligence Registry

How a workload-centered registry connects traces, labels, fixtures, judge evidence, agentic runs, work items, and release gates.

8 min read

Telemetry

Production Traces Need Workload IDs

Why Kam treats workload IDs as the unit for trace slicing, deduplication, dataset creation, and release scorecards.

7 min read

Kam Evals

Deterministic Graders Before LLM Judges

Why Kam checks route, entity, source, freshness, denominator, and contract facts before asking an LLM judge whether an answer was useful.

8 min read

KamOps

Human Labeling Is the Center of KamOps

How KamOps turns failed traces into approved labels, fixtures, and review packets without letting automation become the source of truth.

8 min read

Release Quality

Fixtures Turn AI Lessons Into Release Gates

How Kam promotes approved labels into fixtures and uses workload gates to prevent the same answer failures from shipping again.

8 min read

Agentic Systems

KamAgentic Is for Bounded Internal Work

Why normal chat stays route-contract-first while KamAgentic handles trace labeling, fixture promotion, release packets, and long-running ops.

8 min read

KamSRE

KamSRE Turns AI Quality Into Scorecards

How daily health digests, workload scorecards, drift checks, and release evidence make Kam AI operable.

8 min read

Architecture

Use Open Source for Plumbing, Keep Kam Intelligence Custom

How Langfuse, Phoenix, OpenTelemetry, Label Studio, Argilla, promptfoo, DeepEval, Evidently, Temporal, Dagster, and LiteLLM fit around Kam.

9 min read

Lessons Learned

Lessons From Building the Better Kam Framework

What Kam learned moving toward a framework of KamSRE, KamOps, KamEvals, KamAgentic, labels, fixtures, and workload scorecards.

10 min read

Market Shape

Catch Moves. Don’t Chase.

Learn why Kam watches sportsbooks, prediction markets, and saved context before it answers a market question.

16 min read

Trust

How Kam Checks an Answer Before You Trust It

See how Kam checks freshness, missing info, scope, and answer quality before you trust a move card.

20 min read

Prompt library

Sports Questions That Get a Better Read

Use practical prompt upgrades for market scans, line moves, prediction-market context, missing info, watchlists, and postgame review.

14 min read

How it works

How Kam AI Is Built

Understand how Kam turns sportsbook odds, prediction markets, schedules, saved reads, and review into one product loop.

10 min read

Market Shape

Know the Board Before You Fire

Learn how Kam slows down market chasing by showing what moved, what is missing, and when to pass.

6 min read

Product thesis

Use Kam as a Second Opinion

Learn how Kam speeds up market checks and review while keeping the final bet human.

5 min read

New lane

Market Shape topics coming next

Sportsbooks vs Polymarket: What Each Market Actually Tells You

Why an Empty Board Does Not Mean No Game Exists

How to Read a Prediction-Market Probability Before You Trust It

The Difference Between a Line Move and a Belief Move

Why Liquidity Matters Before You Trust Polymarket

How Kam Separates Sportsbook Odds from Prediction Markets

How Futures Markets Reveal Narrative Before the Public Catches Up

Let Kam check sportsbook odds, prediction-market context, schedules, and saved reads before you chase the number.

Start with Market Shape

See sportsbook context, prediction-market context, freshness, and the next check.

Read the market-intelligence idea

Learn why Kam is built to explain the market, not push picks.