Benchmark
Analysts and enthusiasts testing us on names they already follow
Free
- Companies
- 500+ (S&P 500)
- History
- 1993 → today
- AI agent runs
- 10 / month
An equity research desk for one analyst
It used to take a team.
Now it takes one analyst, a bench of agents, and a receipt for every number.
No card. Today's S&P 500 constituents, back to 1993, free.
The deskWatchlist · Large capsUniverse · 19,000+ US companies
The bench
- Earnings AgentSignal · 8-K Item 2.02Running
- Filings AgentSignal · new 10-Q or 10-KStaged for you
- Insider AgentSignal · Form 4Watching
- Restatement AgentRadar · shows the receiptWatching
- Comps AgentSchedule · Mondays 07:00Signed off
Coverage
- Filing in
- Agent drafting
- Staged for you
- No change
- AAPL
- MSFT
- NVDA
- AMZN
- GOOGL
- META
- AVGO
- TSLA
- BRK.B
- JPM
- LLY
- V
- UNH
- XOM
- MA
- COST
- HD
- PG
- JNJ
- ABBV
- 120.5M+ facts from SEC EDGAR, {historyStart} to today
- A fact_id on every figure the tools return, one click from its filing
- Agents stage, you approve. Every action is logged
- Works in Claude, ChatGPT and Python through MCP and the SDK
Coverage initiated
Initiate coverage on any company in one line.
Now it takes one analyst, a bench of agents, and reports that draft themselves. You sign off.
Replay · Q3 2026 filings
Free: today's S&P 500 constituents, back to 1993 · Works in Claude and ChatGPT over MCP, or in Python
Four ways in
One dataset. Wherever you work.
One account opens all four.
Python SDK
Quants and researchers
Fundamentals in a pandas DataFrame, ready to backtest in your notebook.
pip install valuein-sdk
Open the SDK guideData API
Developers and data teams
The whole dataset as Parquet over HTTPS, straight into your warehouse.
data.valuein.biz
Read the API docsMCP Server
Anyone with an AI assistant
Claude, ChatGPT or Cursor answer with figures that link to their filing.
mcp.valuein.biz/mcp
Connect your assistantResearch Agent
Analysts and PMs
Ask a question. Get a sourced draft report that you review and approve.
AskReviewApprove
Try the Research Agent
The method
Tools return the numbers, with receipts.
Sourced, reproducible, one click from the filing.
01 · Sourced
A tool returns the number.
META · op_income · FY2024
$69,380,000,000
fact_id 9f3c1b7e…as reported
02 · Reproducible
Same inputs, same figures.
run · Mon 09:12 UTC$187.42
run · Fri 17:41 UTC$187.42
outputs identical
03 · Auditable
One click to the filing.
The proof
The past, as it was known.
First-reported figures stay put. Later restatements are kept apart.
10-Q Q2 2020
accepted 2020-07-30
10-K FY2020
accepted 2021-02-24
as originally reported
- as_of · 2021-06-30
The query stops here. Filings below were accepted later.
10-K/A FY2020
accepted 2021-11-09
restatement, filed later
10-Q Q3 2021
accepted 2021-12-03
as_of · 2021-06-30
10-Q Q2 2020
2020-07-30
10-K FY2020
2021-02-24
as originally reported
10-K/A FY2020
2021-11-09
restatement, filed later
10-Q Q3 2021
2021-12-03
Filed by the query dateFiled later, not visibleThe 10-K/A restatement is invisible to this query. No look-ahead.
As reported vs restatedFY2020, $M. A point-in-time query returns the figure as it was first reported.
| Metric | as reported | restated |
|---|---|---|
| Revenue | 10,388 | 10,388 |
| Operating income | 2,114 | 1,902 |
| Net income | 1,640 | 1,431 |
| Diluted EPS | 3.05 | 2.66 |
verify_fact_lineage() → both versions retained · each keyed to its filing
Pricing
Start free. Upgrade for the whole market.
Pro
Individual analysts, quants and developers
$49/ seat / month
- Companies
- 19,000+ (incl. delisted)
- History
- 15 years (2011 → today)
- AI agent runs
- 150 / month
Institutional
Analysts at funds, RIAs and fintech platforms
$499/ seat / month
- Companies
- 19,000+ + foreign issuers
- History
- 1993 → today
- AI agent runs
- 1,500 / month
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