Point-in-time SEC fundamentals, self-serve, with a published price.
FactSet is an institutional data and analytics provider with fundamentals APIs, including a point-in-time endpoint. Valuein is narrower: SEC filings only, self-serve with published pricing, and delivered through API, SDK, Parquet and an MCP server.
The short version, including where FactSet is the better pick.
FactSet is broader and deeper: its fundamentals product page describes history since 1999 with known restatements and a point-in-time API, alongside many other datasets. Valuein covers SEC filers back to 1993, is self-serve, and ties each fact to its source filing accession.
How you get access: Self-serve signup, free sample.
FactSet covers global companies and many datasets beyond fundamentals
Independent quants and small funds who want point-in-time fundamentals without an enterprise contract.
What you get done, not just a feature checklist.
Grouped by what you are trying to do. Scroll sideways on a phone.
| Feature | Valuein | FactSet |
|---|---|---|
| Agents and workflow | ||
| AI agent access | Agent-safe MCP server | See vendor documentation |
| Coverage and depth | ||
| Coverage | US SEC filers | Global, many datasets |
| Access and pricing | ||
| Pricing | $0–$49–$499/month, published | Quote-based; not published |
| Access | Self-serve | Contract |
FactSet details and pricing are based on publicly available information as of June 2026 and may have changed; verify on their site. Where a competitor's figure is vendor-reported or estimated, we say so.
Install the SDK and read a company with no token and no card: the free sample runs the same code your plan will. Add a key later and nothing else changes.
from valuein_sdk import ValueinClient with ValueinClient() as client: # What a ticker or CIK resolves to. A CIK also reaches delisted companies. print(client.resolve(["AAPL", 320193])) # One company's rows from a table, with the point-in-time filter applied. facts = client.read_table( "fact", tickers="AAPL", columns=["standard_concept", "period_end", "fiscal_period", "numeric_value"], limit=10, ) print(facts) # Named SQL templates. Pass parameters as keyword arguments. print(client.list_templates()[:5]) df = client.run_template("fundamentals_by_ticker", ticker="AAPL") print(df.head()) # Links to the SEC filings behind the numbers. links = client.filing_links("AAPL", form_types=["10-K"], limit=3) print(links[["form_type", "filing_date", "document_url"]]) # Restatement Radar: figures a later filing changed (every plan). changed = client.restatements(ticker="AAPL", limit=5) print(changed[["standard_concept", "period_end", "first_value", "current_value", "disclosure_class"]])For US SEC-filing fundamentals with point-in-time access and no contract, yes. For global coverage, estimates or enterprise integration, FactSet is broader.
Yes, FactSet documents a point-in-time fundamentals API and a point-in-time dataset. Valuein's equivalent is built from SEC acceptance timestamps and an as_of_date on every time-series tool.
Start with the free sample. No card, no sales call; pricing is public.