ZBS Index What actually exists in applied AI, with the source next to it

mcp server

agentic-ai

Deal intelligence for agents: SEC-verified financials, validation, institutional deal scoring.

Description as published by the maintainer. Source

  • version 0.1.0
  • active
  • evaluation

active — Registry entry last updated 2026-07-18. Dashed tags are derived by ZBS Index from the published description, not stated by the maintainer.

What this server can do

4 functions, named and described by the server itself. Parameter names are shown because they say more about what a function does than its name usually does.

company_report(market, ticker, context)
The flagship: eight-lens institutional analysis of a US-listed company, grounded entirely in SEC-verified figures with per-field filing citations. Lenses: equity research, investment banking, strategy consulting, turnaround ops, comparables, capital markets, disclosure audit, and Charlie Munger's 10 mental models — plus an executive synthesis. Optionally pass `market` (e.g. {"price": 12.34, "market_cap_m": 5000}) from your own data source to enable valuation views, and `context` — your own deal materials (CIM extracts, computed valuations), treated as caller-asserted rather than SEC-verified. $25.00/call after free trial; allow ~60s. Required: ticker.
deal_score(deal)
Full underwriting chain on a deal profile: financial integrity → trend → industry position → stress tests → conviction score, plus a risk register and investment thesis (and an rNPV valuation band for biotech deals with `indications`). $2.00/call after free trial. Required: deal.
sec_extract(ticker)
Verified financial statements and derived metrics for a US-listed ticker, extracted from SEC EDGAR XBRL filings. Every value carries provenance (the exact filing, form, and tag it came from); missing facts are null, never 0. $0.25/call after free trial. Required: ticker.
validate_financials(financials)
Institutional validation pass over company financials: tax-rate sanity, EBITDA/EBIT bridge, growth continuity vs historical CAGR, capex ratio, working-capital stability. Returns integrity score + severity-ranked flags. $0.50/call after free trial. Required: financials.

Last successful function declaration observed on . Source: https://agentic-ai-production-e711.up.railway.app/mcp. We list what the server declared; we do not call any of these functions.

Endpoint status observed on . Source: https://agentic-ai-production-e711.up.railway.app/mcp.

Signals

These are separate measurements of different things. They are deliberately not combined into one score, because a popularity number that mixes website traffic with saves and stars cannot be checked or acted on.

Signal Value What it measures Window Observed Source
Latest published version 0.1.0 Latest version string the maintainer published to the registry. as of fetch Model Context Protocol
Registry record last updated 2026-07-18 When the registry record was last updated by its maintainer. point in time Model Context Protocol
First listed in the MCP Registry 2026-07-18 Date this server was first published to the official MCP Registry. Not a usage or quality measure. point in time Model Context Protocol
mcp tools declared 4 tools Number of functions the server itself declared when asked to list them. This is what the server offers an agent, not a measure of how well any of them work. as of probe agentic-ai-production-e711.up.railway.app
mcp endpoint status ok The server listed 4 functions when asked. as of probe agentic-ai-production-e711.up.railway.app

Where to get it

This record as data

Every field on this page, with its source and observation date, is in the catalog JSON. Fetch the whole kind at once instead of parsing this HTML.

GET /api/v1/entries/mcp_server.json

Sources

  1. Tools declared by the MCP server at https://agentic-ai-production-e711.up.railway.app/mcp — agentic-ai-production-e711.up.railway.app, observed , trust tier 1.
  2. Official MCP Registry — Model Context Protocol, observed , trust tier 1.