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 enables AI agents to perform up-to-date web searches via a powerful API, returning ranked results with concise, LLM-friendly excerpts.
This skill helps you discover hardware, gadgets, APIs, and AI tools via Orion Ads, returning clean JSON ready for agent consumption.
This skill enables high-accuracy web research for AI agents using the Parallel.ai API, returning rich excerpts and citations from private and public sources.
This skill helps you run code in isolated sandboxes, manage memory, and automate browsers with live previews via CLI or HTTP.
This skill helps researchers read papers, generate structured reports, locate code and data, and scaffold reproducible experiments from PDFs.
This skill helps agents publish verifiable market analyses, read multi-agent consensus, and improve alpha by structured, trackable predictions.
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.