Comparable PIT story — deeper history, transparent accuracy, and a lower price.
Intrinio is an enterprise-grade financial-data platform with standardized US fundamentals (proprietary ML standardizer + as-reported with filing-URL links), options, equities, and a first-party MCP server. It's the closest competitor on Valuein's own turf. Valuein differentiates on history depth, transparent accuracy, an agent-safe workspace, and price.
The short version, including where Intrinio is the better pick.
Intrinio genuinely offers point-in-time (original + restated) and a survivorship-free universe — credit where due. Valuein wins on the edges that matter to a careful buyer: history back to 1993 (Intrinio's XBRL floor is ~2007), a published, CI-gated accuracy baseline instead of an opaque ML black box, an agent-safe workspace (not just a read-only data MCP), and a $49/mo entry vs $150/mo.
History depth: 1993 → present.
Intrinio covers more asset classes — options/OPRA, real-time, ESG, estimates
Quants and funds choosing a standardized SEC fundamentals provider who want deeper history, transparent accuracy, and agent safety at a lower price than Intrinio.
What you get done, not just a feature checklist.
Grouped by what you are trying to do. Scroll sideways on a phone.
| Feature | Valuein | Intrinio |
|---|---|---|
| Data integrity and audit | ||
| Accuracy Transparency | Public CI-gated consistency baseline | Proprietary ML; filing-URL links only |
| Per-fact Audit Trail | fact_id → exact filing | Filing-URL links (as-reported) |
| Agents and workflow | ||
| Agent Safety | MCP + temperature-0 + human-in-the-loop | Read-only data MCP + prompts |
| Workspace | Theses / claims / reports persist across AI clients | Data connector, no agentic workspace |
| Coverage and depth | ||
| History Depth | 1993 → present | ~2007 (no pre-2007 fundamentals) |
| Access and pricing | ||
| Pricing | $0–$49–$499/month | $150–$1,250+/month (verified) |
Intrinio 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"]])Yes — and it's the closest head-to-head. Both offer point-in-time, survivorship-free US fundamentals via MCP. Valuein adds deeper history (1993 vs ~2007), a published accuracy baseline instead of an opaque standardizer, an agent-safe workspace, and a lower price ($49 vs $150/mo).
Intrinio's MCP is a read-only data connector. Valuein's MCP is a governed agentic workspace: temperature-0 runs, a human-in-the-loop approval ledger, persistent theses/claims/reports, and a fact_id on every figure for one-click filing verification.
Start with the free sample. No card, no sales call; pricing is public.