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io.github.Kromatic-Innovation/fermi

REMOTE · FERMI.KROBAR.AI · SCANNED AUG 3

Calibrated probability distributions from natural-language questions via REST and MCP.

Available components

+4 this week 54 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 Security57
Transport & Reachability40
Schema Quality & AI Usability55
  • AI-judged instruction clarity (good).Pass
  • Context-footprint check failed: tool/resource definitions use about 976 tokens (~325/item across 3 items; 3 tools + 0 resources), over budget; trim descriptions and params. See how to fix → Fail
  • 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 Coverage71
  • 100% of tools have a non-trivial description (not blank, and not just the tool's name).Pass
  • 0% of tool parameters carry a description.Fail
  • Structured output schemas are declared (100% of tools); any adoption earns full credit.Pass
Capabilities100
  • Implements a supported MCP spec version (2025-11-25); the latest is 2026-07-28.Pass
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 · fermi.krobar.ai

# add to Claude Code
claude mcp add --transport http kromatic-innovation-fermi https://fermi.krobar.ai/mcp/sse/
# ~/.codex/config.toml
[mcp_servers.kromatic-innovation-fermi]
url = "https://fermi.krobar.ai/mcp/sse/"
// opencode.json
{
  "$schema": "https://opencode.ai/config.json",
  "mcp": {
    "kromatic-innovation-fermi": {
      "type": "remote",
      "url": "https://fermi.krobar.ai/mcp/sse/",
      "enabled": true
    }
  }
}
# add to OpenClaw
openclaw mcp add kromatic-innovation-fermi --url https://fermi.krobar.ai/mcp/sse/ --transport streamable-http
# ~/.hermes/config.yaml
mcp_servers:
  kromatic-innovation-fermi:
    url: "https://fermi.krobar.ai/mcp/sse/"
// mcp.json
{
  "mcpServers": {
    "kromatic-innovation-fermi": {
      "type": "http",
      "url": "https://fermi.krobar.ai/mcp/sse/"
    }
  }
}

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

Changelog

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.

  • 1 Aug 26 +1

    No change was recorded against any check on this day. Stability & Change Management went from 17 to 20. That category is still filling its 30-day observation window: 5 days of observed history at the previous scan, 6 at this one. The score rises as the window fills, whether or not the server changes.

  • 31 Jul 26 +2
    • 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 −2
    • We updated how we score, so this day's move reflects our rubric, not a change to the server See what changed → functional
  • 29 Jul 26 +1

    No change was recorded against any check on this day. Stability & Change Management went from 7 to 10. That category is still filling its 30-day observation window: 2 days of observed history at the previous scan, 3 at this one. The score rises as the window fills, whether or not the server changes.

  • 28 Jul 26 +1

    No change was recorded against any check on this day. Stability & Change Management went from 3 to 7. That category is still filling its 30-day observation window: 1 days of observed history at the previous scan, 2 at this one. The score rises as the window fills, whether or not the server changes.

  • 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 50

    First indexed and scored.

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://fermi.krobar.ai/mcp/sse/

TLS valid

Negotiated TLS 1.3 with TLS_AES_128_GCM_SHA256 .

Subject Issuer Valid from Valid until Key Signature Serial
CN=krobar.ai CN=WE1,O=Google Trust Services,C=US 2 Aug 2026 31 Oct 2026 ECDSA 256 ECDSA-SHA256 dd8d140e1fd09a0c13b71fe1f83c645f
SANs: krobar.ai, *.krobar.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 fermi.krobar.ai. Not signed

Zone DS Keys Algorithms Outcome
. trust_anchor 20326, 38696 8, 8 Verified
ai. present 3799 8 Verified
krobar.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 405
Transports 2 probes
Transport URL Outcome Status Location
sse https://fermi.krobar.ai/mcp/sse/ Verified 200
http (plaintext) http://fermi.krobar.ai/mcp/sse/ HTTPS enforced 301 https://fermi.krobar.ai/mcp/sse/
MCP tools — 3 exposed · ~914 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
buy_credits ~153

Purchase credits using a saved payment method (off-session). Requires a prior Stripe Checkout session to have saved a card. Credits are $0.50 each. Use GET /api/v1/billing/pricing to confirm the current price. Args: credits: Number of credits to purchase (minimum 1). api_key: Your Fermi API key from POST /api/v1/accounts. Required. Returns: Dict with credits_purchased, new_balance, and payment_status. Raises: ValueError: if authentication fails, no payment method is on file, or the card is declined.

NameTypeReqDescription
api_keystringyes
creditsintegeryes

Structured output declared, but exposes no named fields.

No examples provided.

estimate ~568

Return a calibrated probability distribution for a natural-language question. Args: question: The natural-language question (e.g. "What will the price of Bitcoin be in 6 months?"). unit: The unit the answer should be expressed in (e.g. "USD", "people", "meters"). target_horizon: When the estimate applies (e.g. "6 months", "2030", "current"). disclaimer_acknowledged: Must be true. Confirms you understand estimates are probabilistic decision-support only, not financial/medical/legal advice. requested_tier_id: Tier (1=fast sync, 2=grounded sync, 3=deep research async). Default 1. context: Optional extra context to condition the estimate. coverage_probability: Width of the confidence interval (0, 1). Default 0.9 (90% CI). source_inputs: Optional list of structured inputs (files, tables) for the model to consider. Each item needs source_type ("qualitative_text", "spreadsheet", or "structured_file") and either content (text) or structured_data (dict/list). callback_url: Optional webhook URL. When set, the completed or failed result is POSTed here with an HMAC signature, so you don't need to poll for async tiers. api_key: Your Fermi API key from POST /api/v1/accounts. Omit to use the anonymous tier. provider: Optional LLM provider selector ("openai" or "anthropic"). When omitted the server uses its configured default. Tier 1 supports both providers; tiers 2-3 currently accept "openai" only. model: Optional model id for the selected provider. Must match the model configured for (tier_id, provider); omit to accept the default. Returns: EstimateSuccessResponse as a dict: estimation_interval, distribution_family, distribution_parameters, point_estimate, re…

NameTypeReqDescription
api_key
callback_url
context
coverage_probabilitynumber
disclaimer_acknowledgedbooleanyes
model
provider
questionstringyes
requested_tier_idinteger
source_inputs
target_horizonstringyes
unitstringyes

Structured output declared, but exposes no named fields.

No examples provided.

feedback ~193

Submit feedback, a feature request, or a bug report to the Fermi team. An email is sent to the team and a copy is sent to the address you provide. Args: feedback_type: One of "feedback", "feature_request", or "bug". message: Your feedback or request (10-5000 characters). Be specific. sender_email: Your email address. A confirmation copy is sent here. sender_name: Your name (optional). api_key: Your Fermi API key (optional). If provided, your account ID is attached to the message for context. Returns: Confirmation with status "sent". Raises: ValueError: if validation fails or email delivery fails.

NameTypeReqDescription
api_key
feedback_typestringyes
messagestringyes
sender_emailstringyes
sender_name

Structured output declared, but exposes no named fields.

No examples provided.