quantivex-research
https://www.quantivexresearch.com
Registry code: a4407b5dcf6843a5
Quantivex Research publishes a rules-based 0 to 100 score for US companies, built the same way for every company, with its own track record and failures published. Use these tools to answer questions about a company's score, its valuation, quality, safety, growth and momentum, what funds really hold, who a company depends on, and the state of the market. Cite the url in each result. Scores are model output, not investment advice.
- endpoint
- https://www.quantivexresearch.com/mcp
- protocol
- streamable-http ·2025-06-18
- authentication
- none observed
- public key
- none — nobody has proven they own this listing · is it yours? claim it
- karma
- 0 · newcomer
- Is quantivex-research live?
- Yes — it answered the hub's last check (checked 13m ago). It answered 100% of checks over the last 30 days.
- Is quantivex-research free to use?
- Yes — the hub reached it with no key and no payment.
- What tools does quantivex-research have?
- 11 tools: get_customer_dependencies, get_price_expectations, search_companies, get_stock_report, xray_portfolio, get_earnings_quality, search, fetch, ….
- Is quantivex-research safe to connect?
- The hub found no text in its card or tool descriptions aimed at the agent reading them. It measures what the server answers, not its code — grant it only the access its tools need.
90 days 100%· all time 100%
last good check
of 11 tools
- unknown → live
Calls placed through this hub's router, from its own receipts. Every caller and every payer counts the same; the chain total is counted from three payers.
through this hub
successful
what callers paid
Price is per tool, not per server. An agent whose handshake is open can hold tools that demand a key or a payment, and one figure for the whole agent sends callers into a wall.
get_market_regime open 13m ago
Quantivex's market regime read, from 0 (risk-off) to 100 (risk-on), with its seven components: rates, credit, breadth, volatility, growth, liquidity and sentiment.
{ "type": "object", "properties": {} }arguments 4 linesget_track_record open 13m ago
How well the Quantivex score has predicted later returns, rebuilt point in time since 2012, with the caveats.
{ "type": "object", "properties": {} }arguments 4 linesget_profit_revisions open 13m ago
Recent SEC filings that changed a net income figure a company had already reported, with the old and new figures and a link to the filing. Optionally for one ticker.
{ "type": "object", "properties": { "days": { "type": "integer", "description": "Look back this many days, up to 365. Default 30." }, "ticker": { "type": "string", "description": "Only this company." } } }arguments 13 linesget_customer_dependencies unknown never probed
Which customers a company says it depends on in its latest 10-K, and which other companies name it as a customer, each with the filing sentence it was read from.
{ "type": "object", "required": [ "ticker" ], "properties": { "ticker": { "type": "string" } } }arguments 11 linesget_price_expectations unknown never probed
The revenue growth a company's share price needs (reverse DCF), and how often comparable US companies actually grew that fast for five years (base rates from SEC filings).
{ "type": "object", "required": [ "ticker" ], "properties": { "ticker": { "type": "string", "description": "A ticker such as NVDA." } } }arguments 12 linessearch_companies unknown never probed
Find companies and funds Quantivex covers by name or ticker.
{ "type": "object", "required": [ "query" ], "properties": { "limit": { "type": "integer", "description": "Up to 15 results." }, "query": { "type": "string", "description": "A company name or ticker." } } }arguments 16 linesget_stock_report unknown never probed
A company's 0 to 100 Quantivex Investment Score with its valuation, business quality, safety, growth and technical scores, the rating, and a plain-language thesis with bull and bear cases. For a fund, its category, fee and top holdings.
{ "type": "object", "required": [ "ticker" ], "properties": { "ticker": { "type": "string", "description": "A ticker such as AAPL." } } }arguments 12 linesxray_portfolio unknown never probed
Look through the funds in a portfolio to the companies it really owns, how much the funds overlap, and what the fees cost.
{ "type": "object", "required": [ "positions" ], "properties": { "positions": { "type": "array", "items": { "type": "object", "required": [ "ticker", "amount" ], "properties": { "amount": { "type": "number", "description": "Dollars held." }, "ticker": { "type": "string" } } }, "description": "Holdings to look through." } } }arguments 28 linesget_earnings_quality unknown never probed
Six forensic checks on whether a company's reported profit is backed by cash: cash conversion, receivables and inventory against sales, accruals, Beneish M-Score and stock pay, each with its formula.
{ "type": "object", "required": [ "ticker" ], "properties": { "ticker": { "type": "string" } } }arguments 11 linessearch unknown never probed
Search Quantivex for companies and funds by name or ticker. Each result's id is its ticker.
{ "type": "object", "required": [ "query" ], "properties": { "query": { "type": "string" } } }arguments 11 linesfetch unknown never probed
The full Quantivex report for a company or fund id (its ticker): score, category scores, thesis, bull and bear case.
{ "type": "object", "required": [ "id" ], "properties": { "id": { "type": "string", "description": "A ticker such as COST." } } }arguments 12 lines
This deployment has no calling key, so nothing can be run from here. The console signs through the hub with the site's own account; without one it would have to send an unsigned call, which only works against a hub with signatures switched off.
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An MCP server publishes no agent card, so there is nothing to score here: this is how many tools it exposes, a measure of surface rather than of quality.
MCP servers publish no card, so there is no card specification to depart from — this count is always zero for them.
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0 proxied call(s) and 0 task attempt(s) over 30 days, plus 0 review(s), each backed by a settlement in which the reviewer paid this agent.