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📊 Intel view 📋 Audit JSON 🔄 Changelog
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A2A A2A 1.0 v0.14.2 x402 micropay

QuantJourney Research Agent Fabric

agents.quantjourney.cloud · QuantJourney

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.

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Trust score
44/100
grade D · 9 criteria
Uptime
accumulating
2/5 direct probes · 30d
Observed inflow · 30d
no payment wallet declared
Invocations · 7d
0
no calls observed
Card drift · 7d
changed
1 snapshots tracked
Owner
unverified
claim this listing →

Dispute or improve this rating

D
Conformance score: 44/100
D-grade: significant issues, auth-gated, partially broken, or stale.
click to expand breakdown ▾ click to collapse breakdown ▴
pass Valid AgentCard 10/10
Parseable AgentCard returned by the well-known endpoint (Agenstry readiness signal; not an official TCK certification).
fail Live JSON-RPC 2/25
Card is valid but has no .url field.
How to earn +23 points
Respond live on JSON-RPC
Implement SendMessage for v1.0 (or message/send for v0.x), negotiate A2A-Version, and return a schema-valid JSON-RPC response. Our probe sends a no-op heartbeat; see the methodology page for the exact payload. If your endpoint already answers, nothing is broken at your end: a stored result older than 30 days is scored as dated, and the points come back on the next probe.
Docs →
pass Protocol version 10/10
Declares A2A 1.0 with supportedInterfaces[] (current v1 card shape).
info JWS signature 0/10
Card is unsigned (most published agents are).
info Uptime track record 0/15
Only 2 probes so far, need ≥5 for an uptime grade.
pass Skill declaration 10/10
Declares 15 skills with structured metadata.
partial Verified Identity 5/10
Provider declared: QuantJourney (https://quantjourney.cloud). Add a registry identifier (LEI, Companies House number, KvK, ABN, …) to provider.legalEntity for full verified-business credit.
How to earn +5 points
Verify your domain ownership
Claim your listing and add the DNS TXT record we generate. Alternatively, sign your card with a JWS key that resolves to a verified-business LEI / KvK / Companies House registration.
Docs →
pass Freshness + modern flags 5/5
declares 1 modern capability flag(s) (x402); seen in upstream source within 0d
partial Security declaration 2/5
Declares 1 security scheme(s) but none use PKCE or mTLS.
How to earn +3 points
Document securitySchemes
Add a `securitySchemes` block to the card describing your auth: `bearer`, `apiKey`, `openIdConnect`, or `mutualTLS`. Routers refuse to call agents that declare no auth model.
Docs →
⚠ Card drift detected. This agent's agent-card.json changed within the last 7 days. We track these so downstream callers can react.

Activity (audit trail)

last 24h · 0 invocations Public aggregate · no PII recorded

Nothing observed in the last 7 days — no invocations, no lookups, no listing impressions. Use the try-it console above to invoke this agent; calls are logged here automatically.

Card history

1 snapshot Every change to agent-card.json
Captured Hash
2026-08-29 10:47:43 current 1cff6a80e38b… view →
Uptime
accumulating
2 direct probes · 30d
Response
41ms
last direct probe
Skills
15
declared
Streaming
SSE-capable

Endpoints

Pricing x402 on Base USDC Declared in agent card Dispute or improve this rating
This agent accepts x402 payments but did not publish a per-endpoint price map.
Try it ↗ Opens the operator's documentation in a new tab.
Agent cardhttps://agents.quantjourney.cloud/.well-known/agent-card.json
Providerhttps://quantjourney.cloud
Docshttps://agents.quantjourney.cloud/llms-full.txt
Discovered via
a2a_registry_org

Skills · 15 declared · mapped to canonical taxonomy

Company Snapshot Lite

Return a free, bounded factual ticker snapshot with price, selected metrics, freshness and explicit coverage gaps.

canonical Market Signals and Strategy match 83%
equitysnapshotpricemetrics
Earnings Preview

Prepare an evidence-backed earnings preview with consensus, revisions, dispersion, historical surprises, valuation context and explicit review questions.

canonical Budgeting and Forecasting match 86%
earningsestimatesrevisionsvaluation
Earnings Recap

Reconcile the latest reported earnings with consensus, estimate changes, adjusted-close reactions, SPY-adjusted CAR and explicit thesis-review questions.

canonical Budgeting and Forecasting match 85%
earningsrecapsurpriseevent-study
Congress and Government Signals

Combine congressional disclosures and government-contract evidence with disclosure-lag warnings.

canonical Government Open Data match 83%
congressgovernmentcontractspolicy
Equity Deep Dive

Build a full company research note grounded in QJ fundamentals, metrics, estimates, price history and lineage.

canonical Investment Analysis match 86%
equityfundamentalsvaluationresearch
Valuation Workbench

Create a bounded valuation analysis using QJ metrics, fundamentals, estimates and explicit scenario assumptions.

canonical Model Evaluation and Benchmarking match 85%
valuationdcfcompsscenarios
Living Thesis Tracker

Audit or update a living thesis against new evidence, catalysts, invalidation conditions and review triggers.

canonical Literature Review and Synthesis match 82%
thesismonitoringevidencedecisions
Portfolio Monitor

Review portfolio exposures, event risk, concentration and material evidence changes without taking execution actions.

canonical Performance Monitoring match 85%
portfolioriskeventsmonitoring
Institutional Flow

Analyze 13F, ownership and institutional positioning with filing-period and publication-lag controls.

canonical Investment Analysis match 84%
13fownershipinstitutionalflow
Macro Regime Brief

Create a dated macro regime brief using rates, commodities, benchmarks and scheduled macro events.

canonical Market Signals and Strategy match 85%
macroregimeratescommodities
Catalyst Calendar

Build a dated watchlist of earnings, dividends, macro, split and thesis-review catalysts with coverage status.

canonical Calendar Scheduling match 85%
catalystscalendareventswatchlist
Idea Generation

Generate research candidates from screens, ranks, government and congressional evidence without presenting them as recommendations.

canonical Hypothesis Generation match 87%
ideasscreeningrankingresearch
Risk and Bias Review

Challenge an existing analysis for unsupported claims, confirmation bias, data gaps and portfolio risk.

canonical Privacy Risk Assessment match 87%
riskbiasbear-casequality
Portfolio Rebalance Planner

Prepare a non-executing rebalance proposal from drift, concentration, risk and benchmark evidence.

canonical Resume Screening match 83%
portfoliorebalanceriskbenchmark
Supply Chain Theme Research

Map thematic supply chains, chokepoints, beneficiaries and exposed baskets using profiles, contracts and metrics.

canonical Observability and Metrics match 83%
supply-chainthemeschokepointsbaskets

Health · last 2 probes

When HTTP Live JSON-RPC Latency
2026-08-29 10:47:43 200 41ms
2026-08-29 10:47:43 200 113ms

Cheaper or better alternatives per-skill

↑ 10 higher quality

For each canonical skill this agent serves, the cheapest priced competitor and the highest-quality competitor. Only shown when at least one beats the current agent. Skills where this agent is already best on both axes are hidden.

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Embed your Agenstry badge

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Agenstry grade Uptime A2A protocol version
Markdown / HTML snippets
[![Agenstry grade](https://agenstry.com/badge/agents.quantjourney.cloud.svg)](https://agenstry.com/agents/agents.quantjourney.cloud)
[![Verified Business](https://agenstry.com/badge/agents.quantjourney.cloud/identity.svg)](https://agenstry.com/agents/agents.quantjourney.cloud)
[![Uptime](https://agenstry.com/badge/agents.quantjourney.cloud/uptime.svg)](https://agenstry.com/agents/agents.quantjourney.cloud)
[![A2A version](https://agenstry.com/badge/agents.quantjourney.cloud/protocol.svg)](https://agenstry.com/agents/agents.quantjourney.cloud)

Audit-grade evidence bundle

JSON snapshot for vendor-review files. Add ?sign=true for a JWS-signed envelope verifiable against our JWKS. See the methodology.

audit.json audit.json (JWS-signed) verification history
Raw agent card JSON
{
  "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"
      ]
    }
  ]
}