BE-017 — Implement Search & Discovery API
📚 Overview
The Search & Discovery API provides a unified search layer across the TruthBounty ecosystem, enabling contributors to quickly locate claims, users, verifications, disputes, governance proposals, rewards, documentation, and protocol activity.
As the protocol grows to thousands of contributors and millions of records, efficient search becomes a core platform capability. Rather than requiring each backend module to implement its own search logic, this service centralises indexing, filtering, ranking, and pagination.
The Search & Discovery API will become the dependency for:
- Frontend Search Interface
- Mobile Application
- AI Assistant
- Governance Dashboard
- Moderator Console
- Analytics Platform
- Documentation Portal
Every downstream service assumes search results are accurate, performant, and permission-aware.
🧠 Background
TruthBounty V2 consists of numerous interconnected datasets, including:
- claims
- users
- verifications
- disputes
- governance proposals
- rewards
- reputation
- protocol events
- documentation
Searching across these independently would be slow and inconsistent.
A dedicated Search API enables contributors to discover relevant information quickly while maintaining access controls and consistent ranking.
The Search API does not own protocol data—it indexes and exposes searchable representations of existing resources.
🎯 Objectives
Implement a production-ready Search & Discovery API that:
- indexes protocol resources
- supports full-text search
- provides advanced filtering
- ranks results by relevance
- supports pagination
- exposes autocomplete
- supports future semantic search
- returns standardised API responses
🧩 Technical Scope
1. Global Search Endpoint
Implement a unified search endpoint capable of querying:
- claims
- contributors
- governance proposals
- disputes
- rewards
- documentation
- protocol events
Support searching multiple resource types simultaneously.
2. Full-Text Search
Support searching using:
- titles
- descriptions
- usernames
- proposal titles
- evidence metadata
- documentation headings
- tags
Results should be ranked by relevance.
3. Advanced Filtering
Support filtering by:
- resource type
- status
- category
- reputation level
- verification outcome
- governance status
- creation date
- contributor
- blockchain network
Multiple filters should be combinable.
4. Autocomplete
Provide autocomplete suggestions for:
- claims
- contributors
- governance proposals
- documentation
- protocol modules
Suggestions should return quickly with minimal payload.
5. Search Ranking
Implement ranking using:
- keyword relevance
- recency
- contributor reputation
- popularity
- governance activity
- verification confidence
Ranking should remain configurable.
6. Pagination
Support:
- page-based pagination
- cursor pagination
- configurable page size
- sorting
Large datasets must remain performant.
7. Permission Filtering
Ensure search respects:
- user permissions
- moderator visibility
- administrator visibility
- private resources
- embargoed governance proposals
Restricted resources must never appear in results.
8. Performance
Implement:
- Redis caching
- indexed queries
- query optimisation
- asynchronous indexing
- incremental updates
Search latency should remain low under heavy load.
9. Monitoring
Expose metrics including:
- search requests
- average latency
- cache hit ratio
- popular searches
- failed queries
- indexing performance
10. Future Extensibility
Design the architecture to support:
- semantic search
- vector search
- AI-assisted discovery
- multilingual search
- personalised recommendations
- hybrid keyword/vector retrieval
✅ Acceptance Criteria
- Global search returns relevant results.
- Full-text search functions correctly.
- Filters operate correctly.
- Autocomplete is available.
- Permission filtering is enforced.
- Search performance meets targets.
- Monitoring metrics are available.
- Unit and integration tests pass.
🧪 Testing Requirements
Implement tests covering:
- full-text search
- autocomplete
- filtering
- ranking
- pagination
- permission filtering
- concurrent searches
- cache behaviour
- indexing updates
- performance benchmarking
📚 Documentation
Update:
- Backend API Documentation
- Search Architecture
- OpenAPI Specification
- Indexing Documentation
- Operational Runbook
🔗 Dependencies
Depends on:
- BE-002 — Implement PostgreSQL Database Infrastructure
- BE-003 — Implement Blockchain Indexing Service
- BE-004 — Implement Redis Cache & Distributed Session Layer
- BE-010 — Implement Reputation API
- BE-012 — Implement Analytics API
- BE-016 — Implement Protocol Health & System Monitoring API
Blocks:
- Frontend Search Interface
- Mobile Search
- AI Assistant
- Governance Dashboard
- Moderator Console
- Documentation Portal
🏷 Labels
- backend
- architecture
- database
- protocol-critical
- complexity-medium
- stellar-wave
📊 Complexity
Medium
The Search & Discovery API unifies access to protocol resources through efficient indexing, filtering, and ranking. It provides fast, permission-aware discovery across the TruthBounty ecosystem while remaining independent of protocol state and supporting future AI-powered search capabilities.
⏱ Estimated Effort
5–6 days
🚀 Definition of Done
- Global search endpoint implemented.
- Full-text search operational.
- Advanced filtering available.
- Autocomplete implemented.
- Permission-aware search enforced.
- Search indexing integrated.
- Monitoring enabled.
- Tests passing.
- Documentation updated.
- Ready for integration with the Frontend Search Interface, Mobile Application, AI Assistant, Governance Dashboard, Moderator Console, and Documentation Portal.
BE-017 — Implement Search & Discovery API
📚 Overview
The Search & Discovery API provides a unified search layer across the TruthBounty ecosystem, enabling contributors to quickly locate claims, users, verifications, disputes, governance proposals, rewards, documentation, and protocol activity.
As the protocol grows to thousands of contributors and millions of records, efficient search becomes a core platform capability. Rather than requiring each backend module to implement its own search logic, this service centralises indexing, filtering, ranking, and pagination.
The Search & Discovery API will become the dependency for:
Every downstream service assumes search results are accurate, performant, and permission-aware.
🧠 Background
TruthBounty V2 consists of numerous interconnected datasets, including:
Searching across these independently would be slow and inconsistent.
A dedicated Search API enables contributors to discover relevant information quickly while maintaining access controls and consistent ranking.
The Search API does not own protocol data—it indexes and exposes searchable representations of existing resources.
🎯 Objectives
Implement a production-ready Search & Discovery API that:
🧩 Technical Scope
1. Global Search Endpoint
Implement a unified search endpoint capable of querying:
Support searching multiple resource types simultaneously.
2. Full-Text Search
Support searching using:
Results should be ranked by relevance.
3. Advanced Filtering
Support filtering by:
Multiple filters should be combinable.
4. Autocomplete
Provide autocomplete suggestions for:
Suggestions should return quickly with minimal payload.
5. Search Ranking
Implement ranking using:
Ranking should remain configurable.
6. Pagination
Support:
Large datasets must remain performant.
7. Permission Filtering
Ensure search respects:
Restricted resources must never appear in results.
8. Performance
Implement:
Search latency should remain low under heavy load.
9. Monitoring
Expose metrics including:
10. Future Extensibility
Design the architecture to support:
✅ Acceptance Criteria
🧪 Testing Requirements
Implement tests covering:
📚 Documentation
Update:
🔗 Dependencies
Depends on:
Blocks:
🏷 Labels
📊 Complexity
Medium
The Search & Discovery API unifies access to protocol resources through efficient indexing, filtering, and ranking. It provides fast, permission-aware discovery across the TruthBounty ecosystem while remaining independent of protocol state and supporting future AI-powered search capabilities.
⏱ Estimated Effort
5–6 days
🚀 Definition of Done