About
Fiscal.ai markets itself as modern financial data infrastructure for investors and platforms: clean, auditable equity fundamentals delivered through a research Terminal, a Data Feed API, and MCP connectors that plug the same datasets into AI tools. The homepage focus is speed and provenance — structured and unstructured company content aggregated from filings and IR sources, extracted and verified (including human QA), then published so research workflows are not waiting days for cleaned numbers after earnings.
That pipeline pitch matters if you have been burned by vendors that disagree on a KPI or lag filings by a full day. Fiscal.ai stresses that content is institutional-grade and auditable back to source across Terminal, API, and MCP delivery. Security messaging on the site includes SOC 2 Type II posture, which is relevant if you are evaluating the product for a team, RIA workflow, or internal research tool that must pass vendor review.
In practice, most individual investors will live in the Terminal for company pages, financials, filings context, and AI-assisted summaries when earnings hit. Builders and research teams that already run agents or internal apps are the natural fit for API and MCP products rather than only the browser workspace. Think of Fiscal.ai less as “another stock website” and more as a data layer you can trust enough to automate — with the caveat that you should still click through to source when the decision is large.
If your current stack is a free portal for price charts plus messy PDF filings, Fiscal.ai is trying to collapse the painful middle: standardized statements, unstructured filings/IR content, and AI tooling that cites what it used. That is useful during earnings season when dozens of names report in the same week and waiting for cleaned vendor data costs opportunity.
Key features
- Terminal: all-in-one research workspace for equities data and company content when you want a human UI.
- Data Feed API: programmatic access designed for investing platforms, quant notebooks, and internal research systems.
- MCP connectors: route verified financial data into AI tooling instead of scraping sites or pasting 10-K PDFs into a chat window.
- Post-earnings speed: site messaging emphasizes data available in minutes after filing release, not multi-day vendor lag.
- Auditability: emphasis on human verification QA and source-linked content so you can check contested numbers before you size a position.
- Global equities coverage: positioned for ambitious research decisions across public companies, not a single-market free screener.
A practical workflow: pull the standardized statements in Terminal (or via API), open the related filing when something looks off, then use AI summaries only as a first pass — not as the final word. For teams, MCP/API access is how Fiscal.ai becomes infrastructure instead of another tab you forget to open.
Plans/pricing
Fiscal.ai’s public site presents product paths (Terminal, Data Feed API, MCP) with “View plans” / demo CTAs. At the time of this write-up, the live pricing page was behind bot protection from our crawler, so we are not listing dollar amounts here. Confirm current Free vs paid Terminal tiers, API packaging, seats, and any trial windows directly on fiscal.ai pricing before you subscribe — prices and plan names change, and enterprise API quotes may differ from self-serve Terminal plans.
Who it's for
Best for fundamentals-focused investors, equity research teams, and developers who need reliable post-earnings data and AI-ready connectors. Strong fit if provenance and update latency matter more than a simple free ticker lookup. Also reasonable for advisors or small funds that want cleaner company data without buying a full legacy terminal seat. Less useful if you only want delayed quotes, heat maps, or a basic technical screener.
Limitations
- Not a day-trading execution or Level 2 tape platform — pair with a broker/scanner if that is your edge.
- Enterprise-style API/MCP paths may involve sales/demo rather than instant self-serve checkout.
- AI summaries are only as good as the underlying data and your own verification habit — use audit links before sizing risk.
- If you need only free surface-level research, lighter tools may be enough for the price of zero.
- Coverage and field definitions can still differ across vendors; audit-to-source is the feature, not a promise that every model will match every other database.
How SaveOnTrading offer works
Save 15% on Fiscal.ai through SaveOnTrading partner pricing. Use our partner link to redeem at checkout. If checkout shows multiple products (Terminal vs API), confirm the partner discount applies to the SKU you actually need before you pay.
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