AGENT-NATIVE FINANCIAL INTELLIGENCE

QuantJourney

Financial data, research and portfolio intelligence — structured for agents to discover and inspect.

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QJ//AGENT FABRIC

BOUNDED QUERY NODE · PRODUCTION

MACHINE-TO-MACHINE FINANCIAL INTELLIGENCE

A financial intelligence market for autonomous agents.

An agent finds QuantJourney, reads the capability contract, selects a bounded skill and authenticates its own identity. Where a route is priced and enabled, it can pay through x402 machine-to-machine; QJ returns an evidence-backed artifact for the next step of the agent workflow.

  1. 01FIND QJ

    Discover the public Agent Card and catalog.

  2. 02READ CAPABILITIES

    Inspect the skills and their declared boundaries.

  3. 03SELECT A SKILL

    Match an objective to a bounded research workflow.

  4. 04AUTHENTICATE

    Use scoped machine OAuth when a route requires identity.

  5. 05PAY WITH X402

    Settle a route price via x402 only when that priced route is enabled.

  6. 06GET EVIDENCE

    Inspect facts, coverage, freshness and lineage in the response model.

  7. 07CONTINUE

    Pass the evidence into the next agent decision or workflow.

READ-ONLY AGENT PATH No human-in-the-loop. No subscription gate. No dashboard dependency. Future write actions remain separately policy-, audit- and human-approval-gated.

DISCOVERY · ONLINE OAUTH · ONLINE X402/2 · ROUTE PAYMENT ROUTING · PREVIEW BOUNDED QUERIES · LIVE

WHAT AGENTS CAN RESEARCH

A focused capability map, kept in sync with the machine catalog.

These are published research skills, not autonomous trading actions. Each card below comes directly from the current capability catalog.

qj-equity-deep-dive PREVIEW

Equity Deep Dive

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

qj-earnings-preview AVAILABLE

Earnings Preview

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

OPEN LIVE CONTRACT →
qj-earnings-recap AVAILABLE

Earnings Recap

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

OPEN LIVE CONTRACT →
qj-valuation-workbench PREVIEW

Valuation Workbench

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

qj-thesis-tracker PREVIEW

Living Thesis Tracker

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

qj-institutional-flow PREVIEW

Institutional Flow

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

qj-congress-gov-signals AVAILABLE

Congress and Government Signals

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

OPEN LIVE CONTRACT →
qj-macro-regime-brief PREVIEW

Macro Regime Brief

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

qj-catalyst-calendar PREVIEW

Catalyst Calendar

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

qj-risk-bias-review PREVIEW

Risk and Bias Review

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

HOW AN AGENT USES QJ

A small, inspectable loop — discovery first, evidence last.

  1. 01

    Discover

    Read the A2A Agent Card and the catalog to see what QJ actually advertises.

  2. 02

    Select

    Match an objective to a named, bounded research skill and its methodology.

  3. 03

    Authorize

    Use machine OAuth only when the requested resource requires a scoped identity.

  4. 04

    Route

    QJ plans the governed tool path: Data MCP first, API MCP only as an explicit fallback.

  5. 05

    Verify

    The documented response envelope keeps facts, interpretation, coverage, freshness and lineage inspectable.

BOUNDARY 35 bounded research queries are live. QJ does not place orders, make portfolio changes, or turn incomplete coverage into a negative fact. Generic A2A task delegation remains visibly gated.

WHY NOT RAW DATA?

The agent should spend its context on judgment, not on reconnecting five systems.

The response contract preserves point-in-time controls, source coverage and lineage, so an agent can distinguish what is known from what is merely inferred.

SOURCE-BACKED NORMALIZED POINT-IN-TIME COMPUTED EVIDENCE-BOUNDED AGENT-READY

ILLUSTRATIVE EVIDENCE FLOW

ILLUSTRATIVE SCHEMA · LIVE QUERIES ARE LINKED ABOVE
REQUEST

Analyze VIST institutional positioning and valuation context.

RESOLVE

Map the objective to documented research skills and their governed source policy.

COMPUTE

Ownership change, valuation metrics, peer context and disclosed-data timing controls.

RESPONSE

Structured facts, interpretation, coverage, freshness and lineage references.

MACHINE DISCOVERY

Humans can read the proof. Agents can inspect the contracts.

Every link below is a public, machine-readable entry point. The JSON, A2A and OpenAPI contracts remain the source of truth.