Card snapshot
agents.quantjourney.cloud
·
2026-08-29 10:47:43 UTC
·
1cff6a80e38b1b0d645c1092c60063abfdf5e67e5de038df8ae8cbf2a7b223e5
This is a frozen copy of the agent's agent-card.json as we observed it at the timestamp above. We capture a new snapshot every time the card's content hash changes. Useful for: forensic drift analysis, verifying downstream callers see the right version, reproducing routing decisions made historically.
{
"name": "QuantJourney Research Agent Fabric",
"description": "Agent gateway for bounded, evidence-backed investment research. Four deterministic MCP-backed queries may be enabled independently of generic A2A execution. Machine OAuth, x402 v2 and fallback prepaid accounting are available.",
"supportedInterfaces": [
{
"url": "https://agents.quantjourney.cloud",
"protocolBinding": "HTTP+JSON",
"protocolVersion": "1.0"
}
],
"provider": {
"organization": "QuantJourney",
"url": "https://quantjourney.cloud"
},
"version": "0.14.2",
"documentationUrl": "https://agents.quantjourney.cloud/llms-full.txt",
"capabilities": {
"streaming": false,
"pushNotifications": false,
"extendedAgentCard": false,
"boundedQueryExecution": true,
"extensions": [
{
"uri": "https://agents.quantjourney.cloud/extensions/evidence/v1",
"description": "QJ evidence, freshness, product-grade and lineage contract.",
"required": true
},
{
"uri": "https://agents.quantjourney.cloud/v1/x402",
"description": "QJ x402 v2 price, network, settlement and route contract.",
"required": false
}
]
},
"securitySchemes": {
"qj_agent_oauth": {
"oauth2SecurityScheme": {
"flows": {
"clientCredentials": {
"tokenUrl": "https://agents.quantjourney.cloud/oauth/token",
"scopes": {
"agents:discover": "Read public and caller-specific agent discovery metadata.",
"agents:billing": "Read the client wallet and create bounded top-up sessions.",
"agents:query": "Submit bounded agent queries when execution is enabled."
}
}
}
}
}
},
"securityRequirements": [
{
"schemes": {
"qj_agent_oauth": {
"list": [
"agents:query"
]
}
}
}
],
"defaultInputModes": [
"text/plain",
"application/json"
],
"defaultOutputModes": [
"application/json",
"text/markdown"
],
"skills": [
{
"id": "qj-company-snapshot-lite",
"name": "Company Snapshot Lite",
"description": "Return a free, bounded factual ticker snapshot with price, selected metrics, freshness and explicit coverage gaps.",
"tags": [
"equity",
"snapshot",
"price",
"metrics"
],
"examples": [
"Return the free company snapshot for NVDA."
],
"inputModes": [
"application/json"
],
"outputModes": [
"application/json"
]
},
{
"id": "qj-earnings-preview",
"name": "Earnings Preview",
"description": "Prepare an evidence-backed earnings preview with consensus, revisions, dispersion, historical surprises, valuation context and explicit review questions.",
"tags": [
"earnings",
"estimates",
"revisions",
"valuation"
],
"examples": [
"Prepare the free earnings preview for NVDA."
],
"inputModes": [
"application/json"
],
"outputModes": [
"application/json"
]
},
{
"id": "qj-earnings-recap",
"name": "Earnings Recap",
"description": "Reconcile the latest reported earnings with consensus, estimate changes, adjusted-close reactions, SPY-adjusted CAR and explicit thesis-review questions.",
"tags": [
"earnings",
"recap",
"surprise",
"event-study"
],
"examples": [
"Prepare the free earnings recap for NVDA."
],
"inputModes": [
"application/json"
],
"outputModes": [
"application/json"
]
},
{
"id": "qj-congress-gov-signals",
"name": "Congress and Government Signals",
"description": "Combine congressional disclosures and government-contract evidence with disclosure-lag warnings.",
"tags": [
"congress",
"government",
"contracts",
"policy"
],
"examples": [
"Find recent congressional and government-contract signals relevant to PLTR."
],
"inputModes": [
"application/json"
],
"outputModes": [
"application/json"
]
},
{
"id": "qj-equity-deep-dive",
"name": "Equity Deep Dive",
"description": "Build a full company research note grounded in QJ fundamentals, metrics, estimates, price history and lineage.",
"tags": [
"equity",
"fundamentals",
"valuation",
"research"
],
"examples": [
"Produce an evidence-backed deep dive on NVDA as of 2026-08-21."
],
"inputModes": [
"text/plain",
"application/json"
],
"outputModes": [
"application/json",
"text/markdown"
]
},
{
"id": "qj-valuation-workbench",
"name": "Valuation Workbench",
"description": "Create a bounded valuation analysis using QJ metrics, fundamentals, estimates and explicit scenario assumptions.",
"tags": [
"valuation",
"dcf",
"comps",
"scenarios"
],
"examples": [
"Compare NVDA valuation to peers under bear, base and bull assumptions."
],
"inputModes": [
"text/plain",
"application/json"
],
"outputModes": [
"application/json",
"text/markdown"
]
},
{
"id": "qj-thesis-tracker",
"name": "Living Thesis Tracker",
"description": "Audit or update a living thesis against new evidence, catalysts, invalidation conditions and review triggers.",
"tags": [
"thesis",
"monitoring",
"evidence",
"decisions"
],
"examples": [
"Audit the current TSM thesis and report only evidence that changed since the prior review."
],
"inputModes": [
"text/plain",
"application/json"
],
"outputModes": [
"application/json",
"text/markdown"
]
},
{
"id": "qj-portfolio-monitor",
"name": "Portfolio Monitor",
"description": "Review portfolio exposures, event risk, concentration and material evidence changes without taking execution actions.",
"tags": [
"portfolio",
"risk",
"events",
"monitoring"
],
"examples": [
"Identify today's material portfolio risks and cite the supporting QJ evidence."
],
"inputModes": [
"text/plain",
"application/json"
],
"outputModes": [
"application/json",
"text/markdown"
]
},
{
"id": "qj-institutional-flow",
"name": "Institutional Flow",
"description": "Analyze 13F, ownership and institutional positioning with filing-period and publication-lag controls.",
"tags": [
"13f",
"ownership",
"institutional",
"flow"
],
"examples": [
"Summarize institutional positioning changes in NBIS and their reporting lag."
],
"inputModes": [
"text/plain",
"application/json"
],
"outputModes": [
"application/json",
"text/markdown"
]
},
{
"id": "qj-macro-regime-brief",
"name": "Macro Regime Brief",
"description": "Create a dated macro regime brief using rates, commodities, benchmarks and scheduled macro events.",
"tags": [
"macro",
"regime",
"rates",
"commodities"
],
"examples": [
"Describe the current US macro regime and its most important review triggers."
],
"inputModes": [
"text/plain",
"application/json"
],
"outputModes": [
"application/json",
"text/markdown"
]
},
{
"id": "qj-catalyst-calendar",
"name": "Catalyst Calendar",
"description": "Build a dated watchlist of earnings, dividends, macro, split and thesis-review catalysts with coverage status.",
"tags": [
"catalysts",
"calendar",
"events",
"watchlist"
],
"examples": [
"Build the next 30-day catalyst calendar for NVDA, ORCL and TSM."
],
"inputModes": [
"text/plain",
"application/json"
],
"outputModes": [
"application/json",
"text/markdown"
]
},
{
"id": "qj-idea-generation",
"name": "Idea Generation",
"description": "Generate research candidates from screens, ranks, government and congressional evidence without presenting them as recommendations.",
"tags": [
"ideas",
"screening",
"ranking",
"research"
],
"examples": [
"Find five US equities with improving quality and a dated external catalyst."
],
"inputModes": [
"text/plain",
"application/json"
],
"outputModes": [
"application/json",
"text/markdown"
]
},
{
"id": "qj-risk-bias-review",
"name": "Risk and Bias Review",
"description": "Challenge an existing analysis for unsupported claims, confirmation bias, data gaps and portfolio risk.",
"tags": [
"risk",
"bias",
"bear-case",
"quality"
],
"examples": [
"Challenge this NVDA thesis and distinguish contradictory evidence from missing data."
],
"inputModes": [
"text/plain",
"application/json"
],
"outputModes": [
"application/json",
"text/markdown"
]
},
{
"id": "qj-portfolio-rebalance-planner",
"name": "Portfolio Rebalance Planner",
"description": "Prepare a non-executing rebalance proposal from drift, concentration, risk and benchmark evidence.",
"tags": [
"portfolio",
"rebalance",
"risk",
"benchmark"
],
"examples": [
"Prepare a rebalance proposal that reduces factor concentration without placing orders."
],
"inputModes": [
"text/plain",
"application/json"
],
"outputModes": [
"application/json",
"text/markdown"
]
},
{
"id": "qj-supply-chain-theme-research",
"name": "Supply Chain Theme Research",
"description": "Map thematic supply chains, chokepoints, beneficiaries and exposed baskets using profiles, contracts and metrics.",
"tags": [
"supply-chain",
"themes",
"chokepoints",
"baskets"
],
"examples": [
"Map the AI power-infrastructure supply chain and identify evidence-backed bottlenecks."
],
"inputModes": [
"text/plain",
"application/json"
],
"outputModes": [
"application/json",
"text/markdown"
]
}
]
}