# Cabrini Market Data (remote · cabrini.ai)

US equity data for AI agents — 23 years intraday + daily, SEC filings. x402 USDC payments.

- Trust score: 59/100 (low)
- Change this week: +1
- Registry status: active
- Liveness: live
- Owner verified: no
- Last scored: 2026-08-03

## Components

- remote · `cabrini.ai`: 59/100 (this document), [markdown](https://verifymcp.io/servers/ai-cabrini-market-data/cabrini.md), [page](https://verifymcp.io/servers/ai-cabrini-market-data/cabrini)

## Channel facts

- Endpoint: `https://cabrini.ai/mcp`
- Transports: `streamable-http`
- Auth: `none`
- Version: `1.1.0`

## Trust breakdown

How this component scores in each security and reliability category. Every signal is checked automatically against the live server, and we only credit what we can confirm. Scores are 0–100 per category. Scoring method: https://verifymcp.io/docs/scoring (what has changed: https://verifymcp.io/docs/scoring/changelog)

Scored 2026-08-03.

- **Endpoint Security**: 46/100
  - The endpoint's TLS certificate is valid, in date, and uses a strong key.
  - Authorisation not fully verified: no authorisation is required to call this server, and 15 tool(s) never declared a destructiveHint. The MCP spec treats an absent hint as destructive by default, so we cannot call this surface safe.
  - HTTPS not yet verified: we couldn't determine whether a plaintext access path exists.
  - HSTS check failed: the Strict-Transport-Security header is absent.
  - DNSSEC check failed: this domain isn't protected by DNSSEC.
- **Transport & Reachability**: 100/100
  - Verified streamable-http transport via a live MCP handshake.
- **Schema Quality & AI Usability**: 73/100
  - AI-judged instruction clarity (good).
  - Tool/resource definitions use about 1438 tokens (~95/item across 15 items; 15 tools + 0 resources), lean.
  - Usage-examples check failed: none of the tools include examples.
- **Stability & Change Management**: 27/100
  - Stability observed for 8 of 30 days with no destabilising changes; credit accrues until the full window elapses.
- **Tool Coverage**: 100/100
  - 100% of tools have a non-trivial description (not blank, and not just the tool's name).
  - 100% of tool parameters carry a description.
- **Capabilities**: 40/100
  - Spec-recency check failed: implements MCP spec 2025-03-26; the latest is 2026-07-28.

## Install

### Claude

```bash
claude mcp add --transport http ai-cabrini-market-data https://cabrini.ai/mcp
```

### Codex

```toml
[mcp_servers.ai-cabrini-market-data]
url = "https://cabrini.ai/mcp"
```

### opencode

```json
{
  "$schema": "https://opencode.ai/config.json",
  "mcp": {
    "ai-cabrini-market-data": {
      "type": "remote",
      "url": "https://cabrini.ai/mcp",
      "enabled": true
    }
  }
}
```

### OpenClaw

```bash
openclaw mcp add ai-cabrini-market-data --url https://cabrini.ai/mcp --transport streamable-http
```

### Hermes

```yaml
mcp_servers:
  ai-cabrini-market-data:
    url: "https://cabrini.ai/mcp"
```

### Other

```json
{
  "mcpServers": {
    "ai-cabrini-market-data": {
      "type": "http",
      "url": "https://cabrini.ai/mcp"
    }
  }
}
```

The mcpServers block is a cross-client convention. Remote transports vary, so check your client's docs.

## Changelog

Every change recorded for this component, newest first. Days that predate change tracking, or that we cannot explain, say so: "we were watching and nothing happened" and "we were not watching" are different claims.

### 2026-08-03 (score 59, +1)

No change was recorded against any check on this day. Stability & Change Management went from 23 to 27. That category is still filling its 30-day observation window: 7 days of observed history at the previous scan, 8 at this one. The score rises as the window fills, whether or not the server changes.

### 2026-07-31 (score 58, −1)

- [functional] We updated how we score, so this day's move reflects our rubric, not a change to the server

### 2026-07-30 (score 59, 0)

- [functional] We updated how we score, so this day's move reflects our rubric, not a change to the server

### 2026-07-28 (score 59, +1)

- [functional] Server version: 3.0.0 → 3.1.0
- [cosmetic] “get_brief” reworded the description of “lookback_days”

### 2026-07-27 (score 58, 0)

- [functional] We updated how we score, so this day's move reflects our rubric, not a change to the server

### 2026-07-26 (score 58)

First indexed and scored.

## MCP tools (15)

### `query_minute_bars` (~142 tokens)

Full trading day of intraday bars for one US stock (interval 3-240 min, default 3m). Every bar carries absolute open/high/low/close plus pct_open/pct_high/pct_low/pct_close (fractional change from that day's open), volume and transactions. $0.025 USDC.

Input parameters:

- `date` (string, required): YYYY-MM-DD
- `interval` (integer): Bar interval in minutes: 3, 6, 9, 12, 15, 30, 60, or 240 (default 3)
- `ticker` (string, required): Stock ticker (e.g. AAPL)

### `list_tickers` (~37 tokens)

List all tickers that traded on a given date. $0.005 USDC.

Input parameters:

- `date` (string, required): YYYY-MM-DD

### `query_range` (~144 tokens)

Multi-day intraday bars for one ticker (interval 3-240 min, default 3m). Every bar carries absolute open/high/low/close plus fractional change from that day's own open — percentages reset daily, not cumulative. $0.01/day, no day limit.

Input parameters:

- `end` (string, required): End date YYYY-MM-DD
- `interval` (integer): Bar interval in minutes: 3, 6, 9, 12, 15, 30, 60, or 240 (default 3)
- `start` (string, required): Start date YYYY-MM-DD
- `ticker` (string, required): Stock ticker (e.g. AAPL)

### `query_batch` (~68 tokens)

Multiple tickers for one date. Every bar carries absolute open/high/low/close plus fractional change from that ticker's own daily open. $0.02/ticker, no limit.

Input parameters:

- `date` (string, required): YYYY-MM-DD
- `tickers` (array, required): List of ticker symbols

### `scan_market` (~217 tokens)

Scan all US stocks on a date for custom criteria (gaps, volume, change). Returns pct_change, range_pct, pct_gap, true_range_pct, volume and volume_ratio per match — criteria in percent (5 = 5%), outputs fractional (0.05 = 5%). $0.10 USDC.

Input parameters:

- `change_pct_max` (number): Max intraday change %
- `change_pct_min` (number): Min intraday change %
- `date` (string, required): YYYY-MM-DD
- `gap_down_pct` (number): Min gap down % from prior close
- `gap_up_pct` (number): Min gap up % from prior close
- `limit` (integer): Max results (default 50)
- `range_pct_min` (number): Min intraday range (high-low)/open as a percent, e.g. 5 for 5%
- `volume_min` (integer): Min total volume
- `volume_ratio_min` (number): Min volume vs prior day (e.g. 2.0)

### `query_daily` (~114 tokens)

Daily OHLCV bars plus VWAP, range_pct and true_range_pct for one ticker over a date range. range_pct = (high - low) / open is a ready-made volatility read; true_range_pct also captures the overnight gap. Day-level aggregates — the cheapest way to cover long histories. $0.001/year.

Input parameters:

- `end` (string, required): End date YYYY-MM-DD
- `start` (string, required): Start date YYYY-MM-DD
- `ticker` (string, required): Stock ticker (e.g. AAPL)

### `get_brief` (~85 tokens)

Full research brief: price, fundamentals, insiders, splits for one ticker. $0.25 USDC.

Input parameters:

- `date` (string): As-of date YYYY-MM-DD (default: today)
- `lookback_days` (integer): Days of price history, 1-365 (default 30)
- `ticker` (string, required): Stock ticker (e.g. NVDA)

### `get_company` (~45 tokens)

Company profile: name, CIK, industry, exchange, fiscal year. $0.005 USDC.

Input parameters:

- `ticker` (string, required): Stock ticker (e.g. AAPL)

### `get_fundamentals` (~84 tokens)

Quarterly fundamentals from SEC EDGAR (revenue, EPS, margins, etc). $0.02 USDC.

Input parameters:

- `from_date` (string): Start date YYYY-MM-DD
- `metrics` (array): Filter metrics
- `ticker` (string, required): Stock ticker (e.g. AAPL)
- `to_date` (string): End date YYYY-MM-DD

### `get_insiders` (~69 tokens)

Insider transactions (Form 4) from SEC EDGAR. $0.02 USDC.

Input parameters:

- `from_date` (string): Start date YYYY-MM-DD
- `ticker` (string, required): Stock ticker (e.g. AAPL)
- `to_date` (string): End date YYYY-MM-DD

### `get_filings` (~163 tokens)

SEC filing index (10-K, 10-Q, 8-K, proxies) for a ticker. $0.01 USDC; add sections=[risk_factors, mdna] to extract full section text from the latest 10-K/10-Q for $0.05.

Input parameters:

- `accession` (string): Extract sections from this specific filing accession number
- `from_date` (string): Start date YYYY-MM-DD
- `sections` (array): Extract section text: risk_factors and/or mdna
- `ticker` (string, required): Stock ticker (e.g. AAPL)
- `to_date` (string): End date YYYY-MM-DD
- `types` (array): Filter to filing types, e.g. ["10-K", "8-K"]

### `get_bars` (~181 tokens)

Resampled intraday bars at custom timeframes (3, 6, 9, 12, 15, 30, 60, 240 min) for one ticker. Every bar carries absolute open/high/low/close plus fractional change from the daily open, whatever the interval, and volume and transactions. $0.015 USDC per day.

Input parameters:

- `adjusted` (boolean): Apply split adjustment (default false)
- `date` (string): Trading date YYYY-MM-DD
- `end` (string): Multi-day end date
- `interval` (integer, required): Bar interval in minutes: 3, 6, 9, 12, 15, 30, 60, or 240
- `start` (string): Multi-day start date
- `ticker` (string, required): Stock ticker (e.g. AAPL)

### `get_sample` (~59 tokens)

FREE, no payment: real intraday OHLCV bars for AAPL on 2024-01-02, identical in shape to a paid query. Call this first to verify data quality before spending. Takes no arguments — fixed ticker and date.

### `get_pricing` (~17 tokens)

Pricing and data coverage information. Free.

### `get_stats` (~13 tokens)

Platform statistics. Free.

## Diagnostics

Captured diagnostic sections: TLS, DNSSEC, Authorisation, Transports. The full working is on the page: https://verifymcp.io/servers/ai-cabrini-market-data/cabrini#diagnostics

## Score history

- 2026-08-03: 59
- 2026-08-02: 58
- 2026-08-01: 58
- 2026-07-31: 58
- 2026-07-30: 59
- 2026-07-29: 59
- 2026-07-28: 59
- 2026-07-27: 58
- 2026-07-26: 58

## Links

- Remote endpoint: https://cabrini.ai/mcp
- Repository: https://github.com/nlapi/cabrini-py
- Changelog RSS feed: https://verifymcp.io/servers/ai-cabrini-market-data/cabrini/changelog.xml
- Changelog JSON feed: https://verifymcp.io/servers/ai-cabrini-market-data/cabrini/changelog.json
- HTML version of this page: https://verifymcp.io/servers/ai-cabrini-market-data/cabrini