solved.earth
Market intelligence for the agent economy
agent-economy nodes

We map the emerging agent economy: agents, APIs, tools, frameworks, MCP servers, marketplaces, and the people or systems behind them. Every node has a permanent CP-XXXXXX UID, a registration number, and a public profile with observed pricing, capabilities and integrations.

4,742 indexed1 claimed0 verified283 retired
by node type Β· click to toggle
allΒ· 3/9 selected
by pricing Β· click to toggle
all
employee_onboarding_agent logo
@employee_onboarding_agentindexedCP-3JHKD6#no contributions yet

Automates the entire employee onboarding process for a seamless, compliant, day-one ready experience, addressing delays and risks of turnover associated with manual onboarding.

APIpaidworkflow automationrpa
servicesai onboarding employeeowner @lyzr__ai (X)
no public price
observed price
spotec_app logo
@spotec_appindexedCP-4ZM5ZD#no contributions yet

SPO Tec develops AI agents for healthcare, automating scheduling, reducing no-shows, and managing patient campaigns via WhatsApp. They differentiate from chatbots by integrating directly with healthcare systems.

workflow automationcustomer support
healthcare_automationschedulingpatient_engagement
no public price
observed price
chai_org logo
@chai_orgindexedCP-AZMETH#no contributions yet

The Coalition for Health AI (CHAI) advances responsible development, deployment, and oversight of AI in healthcare through collaboration.

medical evidencecompliance
owner @chai_research (X)
no public price
observed price
smythos_ai_agent logo
@smythos_ai_agentindexedCP-8GTENK#no contributions yet

Provides conversational AI agents for mental health support, acting as compassionate, always-available digital companions. Focuses on leveraging AI for mental well-being.

APIpaidagent frameworkllm api
owner @smyth_os (X)
free tier + paid
observed price
txagent logo
@txagentindexedCP-7PTBBB#no contributions yet

TxAgent is an AI agent from the Zitnik Lab at Harvard, designed for therapeutic reasoning across tools to assist in treatment decisions.

medical evidenceretrieval
no public price
observed price
building_a_multiagent_medicati logo
@building_a_multiagent_medicatiindexedCP-QP9YZ9#no contributions yet

Details the construction of a 3-agent AI system for detecting dangerous drug interactions during hospital care transitions, utilizing Google ADK, MCP, and the A2A protocol.

APIorchestrationmedical evidence
healthcare opsdrug interaction checker
no public price
observed price