Broad multi-asset and alt-data — Valuein goes deep on auditable SEC fundamentals.
Finnhub is a broad, affordable API spanning multi-asset prices, estimates, and alternative data (congressional and insider trades, lobbying, social sentiment, supply chain). Valuein is narrow and deep: point-in-time, survivorship-free SEC fundamentals with fact-level provenance and an agent-safe MCP.
The short version, including where Finnhub is the better pick.
Finnhub's strength is breadth — many asset classes and alt-data sets in one cheap key with a strong free tier. Valuein's strength is trust on the fundamentals: a point-in-time vintage, a delisted-inclusive universe, a published accuracy baseline, and a fact_id on every number.
Alt-data breadth (sentiment, lobbying): Not our focus.
Finnhub has an excellent free tier, including free WebSocket for up to 50 symbols
Quant developers who want auditable, point-in-time SEC fundamentals as the trustworthy core of a stack that may also use Finnhub for alt-data and prices.
What you get done, not just a feature checklist.
Grouped by what you are trying to do. Scroll sideways on a phone.
| Feature | Valuein | Finnhub |
|---|---|---|
| Data integrity and audit | ||
| Point-in-Time | accepted_at vintage — no look-ahead | No PIT vintaging |
| Survivorship Bias | All delisted companies included | Not addressed |
| Per-fact Audit Trail | fact_id → SEC filing | None |
| Published Accuracy | CI-gated consistency baseline | Not published |
| Agents and workflow | ||
| AI Agent Access | First-party MCP + safety guardrails | Community MCP only (no first-party) |
| Access and pricing | ||
| Format | Parquet bulk + SDK + MCP | REST + WebSocket + Python SDK |
Finnhub 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"]])Pick Finnhub for broad multi-asset and alternative data on a budget. Pick Valuein when you need SEC fundamentals you can backtest and audit — point-in-time, survivorship-free, with every figure traceable to its filing and an agent-safe MCP.
Finnhub has a community MCP server, not a first-party one. Valuein ships a first-party MCP with an agent-safety layer (temperature-0, human-in-the-loop approvals) and fact-level provenance.
Start with the free sample. No card, no sales call; pricing is public.