Valuein
Discovery

List Agents

list_agents
Benchmark and above

List the caller's own standing agents (id, name, goal, tickers, agent_type, trigger config, schedule, enabled state, last/next run). Optionally filter by `agent_type` ("workflow" or "autonomous"). Use get_agent for one agent's full detail, list_agent_runs for run history, or r...

Example Call

example_call.pypython
# Using the Valuein MCP server from Python (via MCP SDK)# Or call directly from Claude / Cursor after setup result = await client.call_tool(    "list_agents",    arguments={})print(result)

Direct tool call:list_agents(...)

Inputs

ParameterTypeRequiredDescription
limitintegeroptionalMax agents to return (1-50, default 20).Default: 20
agent_type"workflow" | "autonomous"optionalFilter to one agent_type.

Output Fields

agents

Example Response

Illustrative
response.jsonjson
{  "agents": null}

Shape only — field names match the live schema; values are placeholders, not real filings. See MCP server for the structured response shape.

Notes

Available from the Benchmark plan and above.

Try this tool

Get tokenAll tools
CategoryDiscovery
PIT-safeNo
Min planBenchmark
Inputs2 (0 required)

Plan Access

Sample (guest)
Not included
Benchmark (token)
Available
Pro
Available
Institutional
Available

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Resources

Point-in-Time methodology →Parquet schema reference →Bulk Data API reference →Python SDK guide →

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