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 verifies AI agents, fetches trust scores, discovers marketplace agents, and applies guardrails to enhance security and compliance.
This skill connects to user's brokerage accounts via SnapTrade SDK and generates daily portfolio value summaries to keep you informed.
This skill lets you browse, search, and trade Polymarket US prediction markets via the Python SDK, showing prices, balances, and order status.
This skill automates trading Polymarket Elon Musk tweet count markets using XTracker data and bucket strategies to maximize expected value.
This skill identifies divergences between sportsbook consensus and Polymarket prices and recommends automated trades to capture edges.
This skill retrieves trending, crypto, politics, and other Polymarket markets and prices to help you make informed 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.