Agentic financial research across licensed data from S&P Global, QUODD, FRED, and SEC. Runs multi-step search, reconciles conflicting sources, and cross-verifies findings to return accurate, cited answers with every figure traced to its primary source.
The You.com Finance Research API researches financial questions and returns a cited, source-verified answer ready to render in a UI or feed into downstream processing. It autonomously plans a search strategy, reads across relevant financial sources, cross-references findings, and synthesizes everything into a structured response.
The API searches a purpose-built financial index covering public-company filings (S&P Global, SEC/EDGAR), macroeconomic indicators (FRED, BLS, BEA, Eurostat, World Bank, IMF, OECD), market and benchmark data (QUODD, NASDAQ), and derived calculations with every input retrieved, aligned, and cited before the calculation runs. This is licensed and institutional-grade data, not scraped approximations.
When sources conflict, the API reconciles them. Ask for Apple's Q3 2025 revenue and one source reports Apple's fiscal Q3 (ending June), another reports calendar Q3 (ending September), and a third converts the USD figure to EUR. The API matches the exact period and definition you asked for, discards the others, and cites the primary source.
On FinSearchComp (arXiv 2509.13160), a benchmark built by 70+ finance experts, the Finance Research API scores 87.29% accuracy on historical financial lookup, more than 14 points ahead of the next best system at any price point.
The Finance Research API is built on You.com's Research API, which also powers general-purpose research and search capabilities for non-financial use cases.
Highlights
Highest accuracy on expert-built financial benchmarks Scores 87.29% on FinSearchComp's historical lookup benchmark (T2), more than 14 points ahead of the next closest system. On complex multi-step investigations (T3), scores 60.71%. Both results lead the benchmark across all tested systems.
Licensed financial data with source-level citations Searches licensed data from S&P Global, QUODD, FRED, SEC/EDGAR, IMF, World Bank, and institutional feeds. Every figure in every response includes an inline citation mapped to a source URL that compliance teams and end users can verify.
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This API bills by usage, priced per 1,000 calls. You choose one of two research effort levels, and the level you pick sets the rate. The Deep tier fits questions involving tricky filings, conflicting sources, or exact macro and statistical values. The Exhaustive tier fits high-value, multi-source investigations where accuracy justifies longer response times. Higher effort allocates more compute for deeper source reading and cross-referencing, so the Exhaustive tier costs more per 1,000 calls. You pay only for the calls you make at each level, with no upfront commitment.
Top-of-mind questions for buyers
What counts as one call for billing on either research effort level?
One call is a single financial research request you send to the API. Each request accepts a question up to 40,000 characters. The API runs multiple internal searches, reads sources, and returns one synthesized answer. You are billed per 1,000 of these requests at the rate for the effort level you select.
How do I pick between the Deep and Exhaustive effort levels, and what changes when I switch?
You set the effort level per request using the research_effort parameter. Deep handles most financial questions, such as earnings summaries and multi-company benchmarks. Exhaustive runs more searches and cross-referencing for full filing analysis and complex cross-market work, at longer response times. Switching to Exhaustive changes only that request's rate, since each call bills at its chosen level.
What is NOT included with this API that I might expect for financial data work?
This API returns synthesized, cited research answers, not a structured data feed. It does not provide raw price exports, tick-by-tick streams, or JSON financial data for quantitative modeling. It also does not support domain filtering or structured JSON output. For those needs, a different tool or dedicated data provider fits better.
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Additional details
Usage instructions
API
Getting Your API Key:
After subscribing, you will receive your API key within 48 hours via the email associated with your AWS Marketplace account. You can also generate and manage keys yourself at any time at you.com/platform/api-keys (Create API Key → copy the key immediately, as it is only shown once).
Authentication
All requests require an API key passed in a custom header - this is not a Bearer token:
X-API-Key: <YOUR_API_KEY>
Content-Type: application/json
There is no OAuth flow or token exchange. The key is a static string generated on the Platform and used directly on every request.
Endpoint
POST https://api.you.com/v1/finance_research
Request Body
Parameter Type Required Description input string Yes The financial research question (max 40,000 characters) research_effort string No deep (default) or exhaustive. deep: multi-source analysis, <120s latency, $110/1k requests — best for earnings summaries, comparisons, regulatory research. exhaustive: full due-diligence depth, <300s latency, $500/1k requests — best for full 10-K analysis or cross-market research. Example Request (curl)
curl -X POST https://api.you.com/v1/finance_research
-H "X-API-Key: $YDC_API_KEY"
-H "Content-Type: application/json"
-d '{
"input": "What were the key drivers of NVIDIA'''s (NVDA) revenue growth in fiscal year 2025?",
"research_effort": "deep"
}'
Response Schema
A 200 response returns a JSON object with an output field containing the synthesized, cited answer:
{
"output": {
"content": "NVIDIA's fiscal 2025 revenue growth was driven primarily by Data Center accelerated-computing and AI demand: total revenue was $130.5 billion, up 114%...[[1]]",
"content_type": "text",
"sources": [
{
"url": "https://nvidianews.nvidia.com/news/nvidia-announces-financial-results-for-fourth-quarter-and-fiscal-2025",
"title": "NVIDIA Announces Financial Results for Fourth Quarter and Fiscal 2025"
}
]
}
}
Field Type Description output.content string Markdown-formatted answer with inline citation tags (e.g. [[1]]) referencing the sources array output.content_type string Always "text" output.sources array Each item includes the url and title of a source the API read and cited Error Codes
HTTP Status Code Meaning Example Body 401 unauthorized Missing, invalid, or expired API key {"detail": "API key is required"} or {"detail": "Invalid or expired API key"} 402 payment_required Account has run out of credits {"detail": "Insufficient credits"} 403 forbidden API key lacks the required scope for this endpoint {"detail": "Missing required scopes"} 404 agent_not_found / agent_not_supported_yet Referenced agent/resource does not exist or is unsupported — 422 invalid_request Invalid or conflicting request parameters {"error": "invalid request parameter(s)"} 429 rate_limited Too many requests sent in a given period; back off and retry after the interval indicated by the response {"detail": "Rate limit exceeded"} 500 Internal Server Error Failure in auth/authorization middleware or an unexpected server-side error {"detail": "Internal authentication error"} For the complete, most current error reference, see you.com/docs/error-handling/error-code-reference.
Notes
The Finance Research API queries a finance-optimized index (earnings, SEC filings, analyst coverage, market/macro data) rather than the open web, and does not support source_control or output_schema — use the general Research API if you need domain filtering or structured JSON output.
All new accounts receive $100 in free credits.
Full quickstart, SDKs (Python, TypeScript), and MCP/framework integrations: you.com/docs/finance-research/overview
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Used to power AI systems, AI Agents, research tools, data pipelines, and more, You.com's Research API is a single API call that researches a question and returns a complete, cited answer. Leveraging AI, the API reads multiple sources, cross-references what it finds, and synthesizes everything into a structured response with inline citations.Most applications that need web-grounded answers today require building a pipeline: search for results, fetch and parse pages, feed content to an LLM, handle citations. The Research API replaces that pipeline. You send a question, set a research effort level, and get back a Markdown-formatted answer with numbered citations tied to sources, ready to render or feed downstream. There is no additional parsing, ranking, or synthesis required on your end.
Power your agentic workflows with fast, up-to-date, accurate, and relevant web search and news data purpose-built for AI. Trusted at scale, serving 1+ billion queries monthly.
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