Whitepaper | Scoop | Scoop.Space Lite

Abstract

Scoop is a real‑time analytics and risk‑intelligence platform that helps anyone monitor, evaluate, and act on pump.fun token activity on the Solana blockchain. It combines high‑frequency data ingestion, an AI‑assisted risk assessment engine, and a clean, accessible interface designed for both beginners and power users. This whitepaper details the problem landscape, solution architecture, core features, risk methodology, UX principles, performance, security and privacy practices, tokenomics for a pump.fun launch, governance, and roadmap.

Disclaimer — Scoop provides analytics and educational risk signals only. It is not financial advice. Cryptocurrency markets are volatile; users should do their own research and exercise caution.

1. Introduction

1.1 Problem Landscape

New token launches on Solana—especially within the pump.fun ecosystem—are rapid, high‑volume, and noisy. Users face:

Information overload: thousands of new tokens and events per day.

Asymmetric risk: frequent scams/rugpulls and thin liquidity.

Fragmented tooling: data scattered across explorers, dashboards, and chatrooms.

1.2 Vision

Scoop aims to turn chaos into clarity by delivering:

Real‑time discovery and monitoring of new tokens.

Actionable risk cues that are understandable at a glance.

Human‑friendly explanations, via an integrated AI assistant.

Clarity over complexity

plain language, intuitive visuals, consistent patterns.

Speed

instant updates via WebSockets, efficient rendering, responsive UI.

Safety

risk signaling, education, and user controls to avoid bad outcomes.

Accessibility

works across devices; keyboard‑ and screen‑reader‑friendly.

2. Product Overview

Scoop provides a unified dashboard to scan live tokens, review key metrics (Market Cap, Total/Buy/Sell Volume, Unique Traders, Age, Buy/Sell Ratio), and understand Risk at a glance. Interactive micro‑charts reveal trends; filters and sorting surface what matters; and the Scoop assistant explains metrics and flags anomalies in natural language.

Core value: smarter, safer, faster decisions—without needing to be a pro trader.

3. User Personas & Value Proposition

3.1 Beginners (New to Solana/pump.fun)

Needs:simple explanations, safety cues, step‑by‑step guidance.

Value:risk badges, plain‑English tooltips, and conversational help from Scoop.

3.2 Active Traders

Needs:real‑time feeds, low‑latency metrics, customizable filters/alerts.

Value:sortable tables, quick trend charts, configurable watchlists and alerts.

3.3 Analysts/Builders

Needs:consistent data model, repeatable insights, performance at scale.

Value:stable UI components, clear methodology, extensible architecture.

3.4 The Assistant: "Scoop"

Scoop ingests live trades and signals risk promptly. It answers questions, explains metrics, and encourages safer habits. Personality traits: Analytical, Informative, Protective, Optimistic.

4. Architecture (High‑Level)

4.1 Technology Stack

Frontend: React (Next.js), TypeScript, Tailwind CSS with component primitives.

Data Channels: WebSocket streams for trade events; periodic REST polling for metadata and prices.

Client Storage: IndexedDB for caching and continuity; localStorage for preferences.

State Management: React Context with memoized selectors and virtualization.

4.2 Data Flow Overview

Collection — WebSocket trade events + periodic API metadata.

Processing — Aggregation, normalization (SOL→USD), enrichment, and history appends.

Risk Scoring — Multi‑factor heuristics with AI‑assisted checks.

Persistence — Update IndexedDB; cache alert state.

Presentation — Re‑render token lists, charts, and badges in real time.

4.3 Component Roles

Dashboard Orchestrator — lifecycle, preferences, and connections.

Token Table — responsive data view with sort/filter; compact metric cards on mobile.

Risk Badge — visualizes risk classification with distinct colors/animation.

Charts — sparkline/mini charts for trend awareness without clutter.

Scoop Assistant — conversational layer for insights, education, and alerts.

5. Data Collection, Processing, & Models

5.1 Sources & Timeliness

Live trades: WebSockets for low‑latency updates.

Metadata & prices: interval polling for resiliency.

Local persistence: quick reloads and brief offline tolerance.

5.2 Transformations

Volume normalization: convert SOL‑denominated flows into USD.

Aggregation windows: rolling intervals (e.g., 1–60 minutes).

History tracking: append market‑cap snapshots for micro‑trend visibility.

5.3 Token Data Model (Conceptual)

Each token record includes: identifier, name/symbol, image, USD market cap, total/buy/sell volumes, unique traders, last trade time, creator identity, buy/sell ratio, creation time, social links, KOTH status, optional description, risk score & level, and market‑cap history. This ensures consistent rendering and cross‑feature interoperability.

6. Core Features

6.1 Real‑Time Token Monitoring

Detect and display newly created pump.fun tokens quickly, with efficient virtualized rendering and debounced updates.

6.2 Comprehensive Metrics

Market Cap (USD), Total/Buy/Sell Volume, Unique Traders, Token Age, Buy/Sell Ratio—right‑aligned, readable formatting (K/M/B suffixes), consistent labeling (including mobile).

6.3 Visual Analytics

Mini trend charts per token show market‑cap direction at a glance. Color cues and subtle motion highlight meaningful changes without noise.

6.4 Risk Assessment Engine

Risk Levels: SAFE, SUSPICIOUS, POTENTIAL_RUGPULL. Signals considered: age/activity correlation, volume anomalies, trader behavior, price dynamics, and—where available—holder concentration and liquidity depth. Outputs: concise badge plus optional tooltip and assistant summary.

6.5 Custom Views & Controls

Sort by key metrics; filter by risk, favorites, or recency. Time‑range selectors for aggregation windows. Optional alerts for price/volume/risk changes.

6.6 Scoop (AI Assistant)

Natural‑language answers to “what’s happening” and “what does this mean,” with beginner‑friendly definitions and pro‑level summaries. Educational nudges reduce impulsive behavior and highlight risk.

6.7 Accessibility & Theming

Keyboard navigation, ARIA labels, semantic markup. Light/Dark themes with tuned contrast and color‑blind considerations.

7. Risk Assessment Methodology

7.1 Philosophy

The engine prioritizes early warning over false precision. It communicates confidence and reasons plainly, empowering users to make informed choices.

7.2 Inputs (Examples)

Age & Velocity:

very new tokens with unusually high activity.

Volume Patterns:

abnormal spikes, imbalanced buy/sell ratios, concentrated flows.

Trader Behavior:

unique‑trader growth, repeat‑trader share, whale activity.

Price Dynamics:

extreme volatility, suspected manipulation, thin liquidity.

Distribution (where available): holder concentration; creator reputation signals.

7.3 Outputs

Classification: SAFE / SUSPICIOUS / POTENTIAL_RUGPULL.

Score (optional): internal confidence to drive UI emphasis and alerts.

Visualization: color badges; pulsing/glow for high risk; succinct tooltips.

7.4 Limitations

Data feeds may be delayed or incomplete. Classification is probabilistic and may err; human judgment remains essential.

8. UI/UX Principles

Information density with restraint: maximize signal, minimize clutter.

Visual hierarchy: critical metrics are more prominent; consistent iconography.

Progressive disclosure: advanced details available on demand.

Responsive design: desktop table → tablet condensed → mobile cards.

Micro‑interactions: hover/focus feedback; subtle animation for state changes.

Plain‑language labels & tooltips: reduce jargon; define metrics inline.

9. Performance & Scalability

Virtualized lists to render only what’s visible.

Memoization and selective re‑renders for low latency.

IndexedDB caching to preserve context across sessions and support offline moments.

Bundle hygiene: lazy loading, code splitting, and asset optimization.

Retention policies: configurable trade‑history windows to manage memory.

10. Security & Privacy

Client‑side by default: no PII collection; preferences stored locally.

Safe linking: open external tabs defensively; sanitize inputs.

XSS protections: framework escaping and disciplined component patterns.

Risk disclosure: clear in‑product messaging on market volatility and token safety.

11. Deployment & Operations

Hosting: modern serverless hosts or containerized environments.

Build: streamlined package workflows; production builds with CDN distribution.

Observability: client‑side performance logging; feature flags for experiments.

Environments: separate configuration for endpoints and themes.

12. Tokenomics (pump.fun Launch)

Note on freshness: Numeric values and addresses are proposed until finalized on‑chain.

12.1 Launch Overview

Chain / Standard: Solana / SPL (9 decimals typical).

Venue: pump.fun (bonding‑curve style public launch).

Fair Access: no presale/whitelist; open participation via the curve.

Taxes: 0/0 trade tax recommended for market neutrality.

Authorities: mint and freeze authorities revoked post‑launch (or at migration) to minimize control risk.

12.2 Supply & Issuance

Total Supply (Proposed): 1,000,000,000 tokens (1B).

Minting: one‑time mint at or before launch; no further issuance after authority revocation.

Ticker & Metadata: short, pronounceable ticker; consistent branding for explorers and wallets.

12.3 Bonding‑Curve Mechanics

Price Discovery: early trading along a bonding curve allows open price discovery.

Public Participation: anyone can buy/sell during the launch window; no insider tiers.

Migration Trigger: upon reaching a migration threshold, liquidity is moved/created on an AMM to enable regular DEX trading.

12.4 Liquidity & Market Integrity

Initial Liquidity: seeded via pump.fun; post‑migration AMM pool established.

LP Handling (Policy): lock or burn LP tokens to eliminate withdrawal risk; publish lock duration and relevant details after TGE.

Anti‑Manipulation: follow fair‑launch guidelines; monitor wash‑trading/spoofing signals and flag anomalies in‑app.

12.5 Allocation (Proposed Ranges)

Community & Liquidity: 40–60% (curve distribution + liquidity support & community rewards).

Ecosystem & Grants: 10–20% (builders, integrations, bounties).

Operations / Treasury: 10–20% (infrastructure, security, reserves).

Team & Advisors: 10–20% (subject to vesting).

12.6 Vesting & Lockups

Team/Advisor Vesting (Proposed): 36 months with 6–12 month cliff, then linear monthly unlocks.

Treasury Controls: multisig policy; spending proposals published before execution.

Liquidity Locks: LP tokens locked for 6–12 months minimum.

12.7 Utility & Value Accrual

Access: token‑gated advanced analytics (e.g., higher alert quotas, premium risk insights).

Staking (Optional): elevate usage limits or obtain non‑transferable perks (no revenue promises).

Governance: token‑weighted signaling on roadmap priorities and treasury proposals (subject to anti‑whale limits).

Credits/Discounts: fee discounts or extra credits for holders within app limits.

12.8 Transparency & Post‑Launch Disclosures

After launch, publish: token mint address and metadata URI; locker details and durations; multisig address and signer policy; allocation wallet addresses and vesting contracts; AMM pool address and initial liquidity info.

13. Compliance Framework (Non‑Legal Summary)

Token Classification & Disclosures: utility‑focused token enabling platform access/privileges; avoid investment‑return claims; clear risk warnings.

Jurisdiction & Geoblocking: exclude sanctioned regions and any jurisdiction prohibiting token sales; 18+ participation.

KYC/AML & Sanctions: KYC for core contributors/treasury signers; sanctions screening for counterparties.

Market Conduct: fair marketing; disclose paid promotions; internal trading policies and blackout windows.

Data Protection & IP: consent‑driven, minimal data collection if optional accounts are offered; respect third‑party licenses.

Tax & Accounting: maintain transparent treasury records; encourage user compliance with local tax rules.

Governance & Reporting: multisig controls; audits where applicable; public changelogs and incident reports.

This framework is informational only and not legal advice. Engage qualified counsel before any token sale or listing.

14. Governance & Community

Transparent change logs

and documentation.

Feedback channels

for feature suggestions and anomaly reports.

Educational content

to raise safety literacy for newcomers.

15. Roadmap

Near‑Term

Advanced charts/indicators.
Alerting refinements.
Expanded risk factors.

Mid‑Term

Portfolio tracking.
Social‑sentiment signals.
Mobile apps.

Long‑Term

API access.
ML‑enhanced risk models.
Modular services and SSR/GraphQL backends for scale.

16. Glossary (Selected)

Market Cap

estimated USD value (price × supply proxy).

Total/Buy/Sell Volume

traded value over a lookback period.

Unique Traders

distinct wallets trading a token.

Buy/Sell Ratio

sentiment gauge (>0.7 buy‑dominant; <0.3 sell‑dominant).

KOTH

"King of the Hill"—context flag for notable status in feed.

Appendix A — Column & Metric Explanations (Concise)

Name:

token name, creator info, social links; quick copy of address; context badges.

Graph:

mini market‑cap sparkline for short‑term direction.

Market Cap (USD):

readable format (K/M/B) for quick comparison.

Total / Buy / Sell:

activity and directional pressure cues.

Traders:

count of unique wallets; proxy for participation/liquidity.

Age:

time since creation in compact units (m/h/d/mo/yr).

B/S Ratio:

sentiment indicator; visual cues for extremes.

Risk:

SAFE / SUSPICIOUS / POTENTIAL_RUGPULL badges with distinct styling.

Trade:

action button opening the token page on pump.fun.

Acknowledgments

Scoop synthesizes best practices from real‑time crypto dashboards, user‑centric design, and practical risk education—packaged for clarity, speed, and safety.