Cabrini Market Data

REMOTE · CABRINI.AI · SCANNED AUG 3

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

Available components

+1 this week 59 59 Trust /100

Trust breakdown (6 categories)

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. How we score →

Endpoint Security46

The endpoint's TLS certificate is valid, in date, and uses a strong key. View diagnostics → Pass
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. See how to fix → View diagnostics → Unverified
HTTPS not yet verified: we couldn't determine whether a plaintext access path exists. View diagnostics → Unverified
HSTS check failed: the Strict-Transport-Security header is absent. See how to fix → View diagnostics → Fail
DNSSEC check failed: this domain isn't protected by DNSSEC. See how to fix → View diagnostics → Fail

Transport & Reachability100

Verified streamable-http transport via a live MCP handshake. View diagnostics → Pass

Schema Quality & AI Usability73

AI-judged instruction clarity (good).Pass
Tool/resource definitions use about 1438 tokens (~95/item across 15 items; 15 tools + 0 resources), lean.Pass
Usage-examples check failed: none of the tools include examples. See how to fix → Fail

Stability & Change Management27

Stability observed for 8 of 30 days with no destabilising changes; credit accrues until the full window elapses.Partial

Tool Coverage100

100% of tools have a non-trivial description (not blank, and not just the tool's name).Pass
100% of tool parameters carry a description.Pass

Capabilities40

Spec-recency check failed: implements MCP spec 2025-03-26; the latest is 2026-07-28. See how to fix → Fail

Install

Add this component to your MCP client. Where a client-specific snippet is available, pick your client below and copy it straight into your config; otherwise use the connection detail shown.

remote · cabrini.ai

Claude Codex opencode OpenClaw Hermes Other

# add to Claude Code

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

# ~/.codex/config.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
    }
  }
}

# add to OpenClaw

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

# ~/.hermes/config.yaml

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

// mcp.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 Show cosmetic changes

Every change we have recorded for this component, newest first. Security-relevant changes are always shown. ▲ marks a change for the better, ▼ a change for the worse; unmarked changes are neutral.

3 Aug 26 +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.
31 Jul 26 −1
- We updated how we score, so this day's move reflects our rubric, not a change to the server See what changed → functional
30 Jul 26 0
- We updated how we score, so this day's move reflects our rubric, not a change to the server See what changed → functional
28 Jul 26 +1
- Server version: 3.0.0 → 3.1.0 functional
- “get_brief” reworded the description of “lookback_days” cosmetic
27 Jul 26 0
- We updated how we score, so this day's move reflects our rubric, not a change to the server See what changed → functional
26 Jul 26 58

First indexed and scored.

Show 5 earlier entries Hide earlier entries

Diagnostics

Diagnostic detail from the automated scan of this channel: what the scanner observed at each step, so you can see exactly where a check passed or failed. It is informational only and never changes the trust score.

Captured 3 Aug 2026 · Probed https://cabrini.ai/mcp

TLS valid

Negotiated TLS 1.3 with TLS_AES_128_GCM_SHA256 .

Subject	Issuer	Valid from	Valid until	Key	Signature	Serial
CN=cabrini.ai	CN=WE1,O=Google Trust Services,C=US	26 Jun 2026	24 Sept 2026	ECDSA 256	ECDSA-SHA256	7c7862c41e91d9071323448a17afbfa2
SANs: cabrini.ai, *.cabrini.ai
CN=WE1,O=Google Trust Services,C=US (CA)	CN=GTS Root R4,O=Google Trust Services LLC,C=US	13 Dec 2023	20 Feb 2029	ECDSA 256	ECDSA-SHA384	7ff31977972c224a76155d13b6d685e3
CN=GTS Root R4,O=Google Trust Services LLC,C=US (CA)	CN=GlobalSign Root CA,OU=Root CA,O=GlobalSign nv-sa,C=BE	15 Nov 2023	28 Jan 2028	ECDSA 384	SHA256-RSA	7fe530bf331343bedd821610493d8a1b

DNSSEC insecure

Validation of cabrini.ai. — Not signed

Zone	DS	Keys	Algorithms	Outcome
.	trust_anchor	20326, 38696	8, 8	Verified
ai.	present	3799	8	Verified
cabrini.ai.	absent			Unsigned (proven) parent-signed NSEC/NSEC3 proves an unsigned delegation

Authentication No authorisation required

The endpoint answered without asking for a token. Anyone who knows the URL can reach it.

Result	No authorisation required
HTTP status	200

Transports 2 probes

Transport	URL	Outcome	Status	Location
streamable-http	https://cabrini.ai/mcp	Verified	200
http (plaintext)	http://cabrini.ai/mcp	Inconclusive	405

MCP tools — 15 exposed · ~1,438 tokens

The tools this component advertises to a client, with an estimated token cost for each. Expand a tool to see its parameters and schema. The per-tool counts are indicative and are not scored directly; the schema's total context footprint is one signal in Schema Quality & AI Usability.

Tool Tokens

get_bars ~181

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 Output Examples

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

No output schema declared.

No examples provided.

get_brief ~85

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

Input Output Examples

Name	Type	Req	Description
date	string	—	As-of date YYYY-MM-DD (default: today)
lookback_days	integer	—	Days of price history, 1-365 (default 30)
ticker	string	yes	Stock ticker (e.g. NVDA)

No output schema declared.

No examples provided.

get_company ~45

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

Input Output Examples

Name	Type	Req	Description
ticker	string	yes	Stock ticker (e.g. AAPL)

No output schema declared.

No examples provided.

get_filings ~163

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 Output Examples

Name	Type	Req	Description
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	yes	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"]

No output schema declared.

No examples provided.

get_fundamentals ~84

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

Input Output Examples

Name	Type	Req	Description
from_date	string	—	Start date YYYY-MM-DD
metrics	array	—	Filter metrics
ticker	string	yes	Stock ticker (e.g. AAPL)
to_date	string	—	End date YYYY-MM-DD

No output schema declared.

No examples provided.

get_insiders ~69

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

Input Output Examples

Name	Type	Req	Description
from_date	string	—	Start date YYYY-MM-DD
ticker	string	yes	Stock ticker (e.g. AAPL)
to_date	string	—	End date YYYY-MM-DD

No output schema declared.

No examples provided.

get_pricing ~17

Pricing and data coverage information. Free.

Input Output Examples

Input schema present but exposes no named parameters.

No output schema declared.

No examples provided.

get_sample ~59

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.

Input Output Examples

Input schema present but exposes no named parameters.

No output schema declared.

No examples provided.

get_stats ~13

Platform statistics. Free.

Input Output Examples

Input schema present but exposes no named parameters.

No output schema declared.

No examples provided.

list_tickers ~37

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

Input Output Examples

Name	Type	Req	Description
date	string	yes	YYYY-MM-DD

No output schema declared.

No examples provided.

query_batch ~68

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 Output Examples

Name	Type	Req	Description
date	string	yes	YYYY-MM-DD
tickers	array	yes	List of ticker symbols

No output schema declared.

No examples provided.

query_daily ~114

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 Output Examples

Name	Type	Req	Description
end	string	yes	End date YYYY-MM-DD
start	string	yes	Start date YYYY-MM-DD
ticker	string	yes	Stock ticker (e.g. AAPL)

No output schema declared.

No examples provided.

query_minute_bars ~142

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 Output Examples

Name	Type	Req	Description
date	string	yes	YYYY-MM-DD
interval	integer	—	Bar interval in minutes: 3, 6, 9, 12, 15, 30, 60, or 240 (default 3)
ticker	string	yes	Stock ticker (e.g. AAPL)

No output schema declared.

No examples provided.

query_range ~144

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 Output Examples

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

No output schema declared.

No examples provided.

scan_market ~217

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 Output Examples

Name	Type	Req	Description
change_pct_max	number	—	Max intraday change %
change_pct_min	number	—	Min intraday change %
date	string	yes	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)

No output schema declared.

No examples provided.

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Scoring key

80+ high trust
60–79 medium
below 60 low

How we score

Score history · last 30 days

26 Jul 3 Aug

Day	Score
26 Jul	58
27 Jul	58
28 Jul	59
29 Jul	59
30 Jul	59
31 Jul	58
1 Aug	58
2 Aug	58
3 Aug	59