We architect and deploy custom smart contracts that form the secure, immutable backbone of your application. Our development process delivers audit-ready code from day one, using battle-tested patterns from OpenZeppelin and rigorous internal reviews.
Real-Time Social Sentiment Data Feeds
Smart Contract Development
Secure, production-ready smart contracts built by experts for your Web3 product.
- Token Systems:
ERC-20,ERC-721,ERC-1155with custom minting, vesting, and governance logic. - DeFi Protocols: Automated Market Makers (AMMs), lending/borrowing pools, and yield strategies.
- Enterprise Logic: Multi-signature wallets, access control, and complex business rule automation.
We guarantee functional correctness and security as the foundation for your product launch. Our contracts are built for gas efficiency and upgradability, ensuring long-term viability.
Deliverables include the verified source code, comprehensive documentation, and a deployment roadmap. We focus on reducing your time-to-market while eliminating the technical debt and security risks of in-house development.
Architected for Speed, Verifiability, and Scale
Our sentiment data feeds are engineered for production-grade applications, delivering the low-latency, cryptographically verifiable, and scalable data your trading and analytics systems demand.
Sub-Second Data Delivery
Process and deliver aggregated sentiment signals in under 500ms, enabling high-frequency strategies and real-time dashboards without lag.
On-Chain Verifiable Provenance
Every data point is anchored to a Merkle root published on-chain (Ethereum, Solana). Clients can cryptographically verify the integrity and timestamp of any delivered feed.
Horizontal Scalability
Our distributed ingestion pipeline scales to process over 1 million social posts per hour, ensuring consistent performance during market volatility and event-driven spikes.
Institutional-Grade Security
Built with SOC 2 Type II compliant infrastructure. All data pipelines and API endpoints are secured with role-based access, audit logging, and DDoS protection.
Business Outcomes for Your Prediction Market
Integrate Chainscore's real-time social sentiment data to directly enhance your prediction market's performance, user engagement, and revenue potential.
Increase Market Liquidity & Volume
Drive higher trading activity by surfacing trending topics and emerging narratives directly into your platform. Our feeds help users discover high-potential markets, increasing total value locked (TVL) and transaction fees.
Enhance Market Accuracy & Efficiency
Incorporate crowd-sourced sentiment as a predictive signal to improve price discovery. Reduce information asymmetry and help your markets converge to accurate outcomes faster, building user trust.
Launch New Markets Faster
Use real-time social trends to identify and validate new prediction market topics. Our API delivers the data needed to propose, price, and launch markets in days, not weeks, accelerating your time-to-market.
Mitigate Manipulation & Sybil Risk
Leverage our on-chain and off-chain data correlation to detect and filter out coordinated spam or fake sentiment. Build more resilient markets protected from social engineering attacks.
Create Unique User Experiences
Differentiate your platform with embedded sentiment dashboards, sentiment-triggered notifications, and social heat maps. Increase user retention and engagement through data-driven features.
Monetize Data & Insights
Offer premium data feeds, advanced analytics, or sentiment-based trading tools as a new revenue stream. White-label our infrastructure to serve other projects or institutional clients.
Build vs. Buy: The Real-Time Sentiment Feed Trade-Off
Compare the total cost, risk, and time investment of building a real-time social sentiment data pipeline in-house versus using Chainscore's managed service.
| Key Factor | Build In-House | Buy with Chainscore |
|---|---|---|
Time to First Production Feed | 6-12 months | 2-4 weeks |
Initial Development Cost | $150K - $400K+ | From $25K |
Annual Maintenance & Ops Cost | $80K - $200K | Included in subscription |
Data Source Integration | Manual API scraping & parsing | Pre-integrated: X, Discord, Telegram, Forums |
Sentiment Analysis Model | Build/train from scratch | Pre-trained, fine-tunable ML models |
Real-Time Processing Latency |
| < 500 milliseconds |
Historical Data Backfill | Limited or none | 12+ months of historical data |
Security & Data Integrity | Your responsibility | SOC 2 Type II compliant pipeline |
Protocol & Chain Coverage | Manual expansion per chain | Ethereum, Solana, Base, Arbitrum, 10+ more |
Support & Updates | Internal team burden | Dedicated engineering support & roadmap updates |
Our Delivery Process: From Concept to Live Feed
We deliver production-ready social sentiment data feeds through a structured, collaborative process designed for technical teams. Each phase has clear deliverables and milestones to ensure your project launches on time and meets your exact specifications.
Phase 1: Discovery & Architecture
We conduct a technical deep-dive to define your data requirements, source selection (e.g., X, Reddit, Discord), and ingestion architecture. Deliverables include a finalized spec, data schema, and a detailed project roadmap.
Phase 2: Pipeline Development & Testing
Our engineers build and containerize the data ingestion pipeline, implement real-time processing logic, and set up the initial data warehouse (BigQuery/Snowflake). We run comprehensive unit and integration tests in our staging environment.
Phase 3: Security & Performance Audit
The pipeline undergoes a rigorous internal security review focusing on data integrity, API key management, and rate limiting. We perform load testing to validate scalability and establish baseline performance SLAs.
Phase 4: Deployment & Integration
We deploy the pipeline to your cloud environment (AWS/GCP) and configure secure data delivery to your endpoints. We provide full documentation and support your team through the integration and go-live process.
Frequently Asked Questions
Get clear, technical answers about integrating on-chain and off-chain social sentiment data into your dApp or trading platform.
We aggregate and process data from over 15 sources, including on-chain governance forums (Snapshot, Tally), major social platforms (X, Reddit, Discord), crypto news outlets, and developer activity on GitHub. Our proprietary NLP models clean, weight, and correlate this data to produce a normalized sentiment score, filtering out spam and bot activity.
Get In Touch
today.
Our experts will offer a free quote and a 30min call to discuss your project.