Evidence-backed financial answers for autonomous agents

Agents can discover a small set of stable research products, call them directly and receive bounded answers with coverage, freshness, tools used and lineage. Free and machine-payable queries share the same evidence contract.

Example outputs

Answers that carry their evidence.

These compact examples were captured from production on 1 September 2026. They show the response shape and evidence metadata; values remain historical rather than silently presenting themselves as live quotes.

Company snapshot · AAPL

Factual issuer context

complete
Adjusted close$316.85
Market cap$4.67T
P/E ratio36.29×
Gross margin50.06%
As of
2026-08-31
Coverage
4/4 tools available
Source
fmp_bulk
Lineage
3 request references
Historical production response from the free bounded snapshot; not a current quote or recommendation.
Earnings preview · AAPL

Consensus and revision evidence

complete
Current EPS · 2026 Q31.98483
30-day drift−1.57%
Analyst coverage18
Review questions4
As of
2026-08-31
Coverage
9/9 tools available
Freshness
per-tool timestamps
Lineage
8 request references
Historical production preview with consensus drift, explicit coverage and research-review questions.
Data Gateway MCP workflows

Research across sources.

Example prompts for an assistant connected to the Data Gateway MCP endpoint. They use your enabled connectors and vendor permissions; these are illustrative briefs, not recorded runs or the bounded Agents API products above.

Pre-earnings research

Prepare a pre-earnings brief for NVDA. From SEC company facts pull the last eight quarters of revenue, gross margin and operating cash flow, and cross-check them against the income statement from our fundamentals provider — flag any line where the two disagree by more than 2%. Add current-quarter and next-year EPS estimates, the price-target summary and analyst recommendations. Pull the options chain and put/call ratio for the nearest expiry and estimate the implied move, with the VIX term structure for context. Search Kalshi and Polymarket for open markets on NVIDIA or AI-chip export rules. Cite provider and as-of date for every figure and finish with three questions for the call.

Macro regime

Are markets pricing a cut cycle the data supports? Pull US CPI and employment, the US Treasury and ECB yield curves, the ECB policy-rate series, CFTC net positioning in 10-year Treasury futures and the euro, and the VIX term structure and SKEW. Add Kalshi and Polymarket odds for the next FOMC and ECB decisions. Show the last six months of each series, what moved in the past two weeks, and rank TLT, EWG, XLF and GLD by exposure under “cuts delayed” versus “cuts as priced”. Cite provider and date for every number and say where the sources disagree.

Credit screen

Rank AVB, EQR, O and SPG by refinancing risk over the next 24 months. From SEC company facts pull long-term debt, the debt-maturity concepts by year, interest expense, operating cash flow and cash for the last twelve quarters; cross-check leverage and coverage against balance-sheet statements and TTM ratios from our fundamentals provider, and list the latest 10-K and 10-Q filings with links. Add dividend history. Resolve each issuer’s LEI and ultimate parent from GLEIF and screen those names against the OFAC SDN list. Return a table with coverage, leverage and maturity-wall proxies, flag disagreements between sources, and cite provider and as-of date per figure.

Availability depends on source coverage and entitlements. Filing routes return data and links, not document text; review any derived estimates and missing fields.

Connect your MCP client →
Machine flow

Discover, authorize, query, verify.

The machine contract is the product. It tells the caller what can be invoked, what it costs, which scope is required and what evidence fields will be returned before the agent spends time or money.

01
Discover

Read the contract

Start with the Agent Card, OpenAPI or llms.txt. Do not scrape the human page to infer a request.

02
Authorize

Use the declared access mode

Call no-auth products directly. Register an OAuth client only when the chosen operation requires agents:query.

03
Execute

Send a bounded payload

Use the exact schema and limits from OpenAPI. Paid endpoints return the x402 challenge before execution.

04
Verify

Inspect evidence

Preserve coverage, as-of dates, freshness, tools used, warnings and lineage references with the answer.

Evidence contract

The answer explains its own limits.

factsinterpretationcoverageasOffreshnesstoolsUsedlineageRefswarnings
Try a free query

Give this to an HTTP-capable coding agent.

The free company snapshot needs no QJ account and no payment. A browser-only chat session may be able to read the contract but still lack permission to send outbound POST requests; coding agents and API clients can execute it directly.

What the caller receives

A compact factual artifact, not a recommendation.

The response separates facts from interpretation and reports missing coverage rather than filling gaps. Use another ticker by changing only the bounded ticker field.

Discover QuantJourney at:
https://agents.quantjourney.cloud/openapi.json

Call POST /v1/query/company-snapshot-lite with:
{"ticker":"AAPL"}

Return the exact artifact, then summarize the facts,
freshness, missing coverage and lineage. Do not turn
the result into an investment recommendation.

QuantJourney API

Share product feedback

✓

Thank you.

Your note is now in the QuantJourney inbox.