Valuein
Institutional & academic

Valuein vs WRDS (Wharton Research Data Services)

Compustat-quality SEC fundamentals — no university affiliation required.

WRDS is the gold standard for academic and institutional research, hosting Compustat (the canonical point-in-time fundamentals reference) and many other datasets. It requires institutional affiliation or expensive licensing. Valuein provides point-in-time, survivorship-free SEC fundamentals with modern API/SDK/MCP access and no affiliation barrier.

Start for freeSee pricing
pip install valuein-sdk

At a glance

The short version, including where WRDS (Wharton Research Data Services) is the better pick.

The key difference

WRDS/Compustat is the academic gold standard for point-in-time fundamentals — but it requires a university affiliation or a $50k+ institutional license. Valuein provides point-in-time, survivorship-free SEC fundamentals self-serve from $49/mo, delivered via API, Python, Parquet, and an agent-safe MCP, with a fact_id on every figure.

Where Valuein leads

Cost to access: $0–$499/mo, no affiliation.

Where WRDS (Wharton Research Data Services) is stronger

WRDS/Compustat has longer history, more derived metrics, and the canonical PIT reference (Compustat Point-in-Time)

Best for

Independent quants, boutique funds, and researchers without university affiliation who need Compustat-quality point-in-time fundamentals at accessible pricing.

Outcomes that matter

What you get done, not just a feature checklist.

  • Cost to access

    Valuein
    $0–$499/mo, no affiliation
    WRDS (Wharton Research Data Services)
    $50,000+/yr institutional license (est.)
  • Time to first query

    Valuein
    Self-serve signup — minutes
    WRDS (Wharton Research Data Services)
    Institutional affiliation or a contract
  • Let AI agents do the work safely

    Valuein
    Agent-safe MCP
    WRDS (Wharton Research Data Services)
    No MCP / agent surface
  • Audit any number an agent returns

    Valuein
    fact_id → exact SEC filing
    WRDS (Wharton Research Data Services)
    Compustat PIT, no per-fact filing link

Feature comparison

Grouped by what you are trying to do. Scroll sideways on a phone.

Valuein compared with WRDS (Wharton Research Data Services), feature by feature
FeatureValueinWRDS (Wharton Research Data Services)
Data integrity and audit
Per-fact Audit Trailfact_id → SEC filingCompustat PIT, no per-fact link
Agents and workflow
AI Agent AccessAgent-safe MCP + expert agentic workflowsNo MCP support
Access and pricing
Pricing$0–$49–$499/month$50,000+/year institutional (est.)
AccessSelf-serve — active in minutesRequires affiliation or contract
API FormatBulk API + SDK + MCP + ParquetSAS, WRDS web query, Python library
FormatDuckDB-optimized ParquetSAS datasets, CSV

WRDS (Wharton Research Data Services) 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.

Which one should you choose?

Choose Valuein if you need

  • Cost to access$0–$499/mo, no affiliation
  • Time to first querySelf-serve signup — minutes
  • Let AI agents do the work safelyAgent-safe MCP
  • Audit any number an agent returnsfact_id → exact SEC filing

Choose WRDS (Wharton Research Data Services) if

  • WRDS/Compustat has longer history, more derived metrics, and the canonical PIT reference (Compustat Point-in-Time)
  • WRDS bundles many datasets (CRSP, Audit Analytics, BoardEx, IBES)
  • WRDS is the established academic community standard with deep methodology documentation

Switching takes minutes

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.

valuein_sdkpython
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"]])

Frequently asked questions

Is Valuein a good WRDS / Compustat alternative?

Yes, for independent quants, boutique funds, and researchers without a university affiliation. Valuein gives you point-in-time, survivorship-free SEC fundamentals self-serve from $49/mo, with modern API/SDK/MCP delivery and fact-level provenance — without a $50k+ institutional license.

Compustat Point-in-Time is the academic standard — can Valuein match it?

Compustat PIT has longer history and more derived fields. Valuein matches the core point-in-time, survivorship-free guarantee on SEC fundamentals and adds modern delivery (API/SDK/MCP/Parquet) and a fact_id on every figure — at a fraction of the price and with no affiliation barrier.

See all Valuein comparisons

Try it on your own ticker.

Start with the free sample. No card, no sales call; pricing is public.