Polygon owns market data — Valuein owns auditable SEC fundamentals.
Polygon.io is a best-in-class market-data provider (real-time + historical prices, WebSocket, great SDKs). Its fundamentals are a secondary product sourced from SEC EDGAR XBRL. Valuein is the inverse: fundamentals are the entire product, with deeper history, a survivorship-free universe, and fact-level provenance.
The short version, including where Polygon.io is the better pick.
Polygon is the right tool for prices and real-time market data, and it even advertises point-in-time fundamentals with field-level traceability. Valuein goes deeper on the fundamentals themselves: 1993 history, a survivorship-free delisted universe, audited ratios, smart-money and forensic tools, and a fact_id that resolves to the source filing — fundamentals as the core, not an add-on.
Real-time prices & market data: Not our focus — pair with a price feed.
Polygon's real-time and historical market data (prices, WebSocket) is far ahead — we don't compete there
Developers and quants who already have a market-data feed (or use Polygon for it) and need deep, auditable, survivorship-free SEC fundamentals for research and AI agents.
What you get done, not just a feature checklist.
Grouped by what you are trying to do. Scroll sideways on a phone.
| Feature | Valuein | Polygon.io |
|---|---|---|
| Data integrity and audit | ||
| Survivorship Bias | All delisted companies included | Not advertised for fundamentals |
| Standardization | 350+ standard concepts + audited ratios | XBRL fundamentals, fewer derived ratios |
| Per-fact Audit Trail | fact_id → SEC filing | Field-level traceability on XBRL |
| Agents and workflow | ||
| AI Agent Access | MCP + agent-safety guardrails | Official MCP server |
| Coverage and depth | ||
| Fundamentals Depth | 1993 → present, core product | ~10 years, secondary to market data |
| Smart Money | Insider + 13F + forensic audit tools | Not a focus |
| Access and pricing | ||
| Format | Parquet bulk + SDK + MCP | REST/WebSocket + official SDKs |
Polygon.io 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"]])Use Polygon for prices and real-time market data. Use Valuein when SEC fundamentals are the job — deep history, survivorship-free delisted names, audited ratios, smart-money signals, and fact-level provenance for AI agents. Many users run both.
Against Polygon the differentiator isn't PIT itself, it's depth and auditability: 1993 history vs ~10 years, a survivorship-free universe, audited ratios, and a fact_id that resolves to the exact filing for one-click verification.
Start with the free sample. No card, no sales call; pricing is public.