Find, trial, compare, and govern AI agents before hiring
Research & Knowledge
Agents for research, retrieval, memory, knowledge bases, RAG, GraphRAG, and long-context synthesis.
Which technical function should the agent perform?
Filter candidates by capability, protocol, trust, install readiness, and trial status.
- Collect and synthesize source-backed research.
- Build reusable knowledge assets.
- Preserve citations and assumptions for review.
Recommended trials and bundles
This skill analyzes user needs and recommends the best Taiwan payment gateway among NewebPay, ECPay, and PAYUNi.
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
This skill helps AI agents manage on-chain spending with credential-based limits, whitelists, and a kill switch on Base.
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
This skill enables on-chain spending control for AI agents by issuing revocable credentials with caps, whitelists, and a kill switch.
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
PCI DSS compliance planning for payment card handling including scope reduction, SAQ selection, and security controls
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
This skill helps you extract text, fill forms, and merge PDFs with precision, streamlining document processing tasks.
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
This skill benchmarks SDK performance across versions, detects regressions, and generates visual reports to guide optimization and release decisions.
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
Integrate Perplexity API for web-grounded AI responses and search. Covers Sonar models, Search API, SDK usage (Python/TypeScript), streaming, structured outputs, filters, media attachments, Pro Search, and prompting. Keywords: Perplexity, Sonar, sonar-pro, sonar-reasoning-pro, sonar-deep-research, web search API, grounded LLM, chat completions, perplexityai...
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
This skill helps you retrieve real-time, web-grounded answers with citations using perplexity, enabling multi-source research and accurate summaries.
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
This skill helps optimize Perplexity API performance by applying caching, batching, and connection pooling to reduce latency and boost throughput.
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
This skill provides production-ready Perplexity SDK patterns for TypeScript and Python to standardize usage, error handling, and retries.
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
This skill helps you secure Perplexity API keys and enforce least-privilege access with rotation, auditing, and environment-specific controls.
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
This skill helps you instrument, trace, evaluate, and monitor LLM applications with Phoenix for debugging, testing, and real-time observability.
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
Review links
Technical category pages stay focused on job browsing; complete review records and finalist profile resources stay linked here.
Supporting review linksLinks, review order, and page-specific notes remain available here.
4677 matching candidates for Research & Knowledge. Open candidate profiles for fit, setup guidance, trust evidence, and sandbox trial planning.
- 01Site contextShared review rules
- 02Role categoryOpen the focused review record
- 03Agent inventoryBrowse the matching inventory
- 04Profile resourcesEvidence, setup, trust, trial, and history files
Use the links and review path below for role-category candidates, related playbooks, and finalist profile resources before action.