Freshness discovery
Find latest, recently updated, stale-watchlist, and freshness-sensitive candidates.
Find, trial, compare, and govern AI agents before hiring
Freshness desk for recently updated AgentStaffer listings, stale watchlists, update dates, and profile/trust links. Use re-review for governance decisions.
Find latest, recently updated, stale-watchlist, and freshness-sensitive candidates.
Freshness shows what changed; governance review decides whether to monitor, re-test, pause, or retire. Open governance queue.
This skill helps you secure Perplexity API keys and enforce least-privilege access with rotation, auditing, and environment-specific controls.
This skill provides production-ready Perplexity SDK patterns for TypeScript and Python to standardize usage, error handling, and retries.
This skill helps optimize Perplexity API performance by applying caching, batching, and connection pooling to reduce latency and boost throughput.
This skill enables real-time clinical queries at point of care, delivering evidence-based answers with citations within seconds for informed decisions.
This skill enables OpenRouter function calling integration for agents, guiding setup, testing, and monitoring to enable structured tool use.
This skill assists you install and configure OpenEvidence authentication, enabling secure API access for clinical queries.
Open‑source SDK for building and orchestrating single or multi‑agent systems with LLMs and tool integration.
Airtable integration for AI-powered applications via Anthropic's Model Context Protocol (MCP). Connect your AI tools directly to Airtable for seamless data access and management.
Freshness cards stay readable; re-review records and profile resources stay linked here.
Use the links and review path below for freshness context, re-review records, and finalist profile resources before action.