Skip to content
verify mcp Beta VerifyMCP is currently in beta. If you notice any issues, email [email protected] and we’ll put it right.

Seiche — funding-stress terminal

REMOTE · API.SEICHE.INFO · 2 COMPONENTS · SCANNED AUG 3

Funding stress early warning for US money markets from free public data, with an honest backtest.

+14 this week 79 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 Security83
Transport & Reachability100
Schema Quality & AI Usability85
  • 100% of prompts and resources have a non-trivial description (not blank, and not just the item's name).Pass
  • AI-judged instruction clarity (excellent).Pass
  • Context-footprint check failed: tool/resource definitions use about 1238 tokens (~112/item across 11 items; 11 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 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
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 · api.seiche.info

# add to Claude Code
claude mcp add --transport http beepboop2025-seiche https://api.seiche.info/mcp
# ~/.codex/config.toml
[mcp_servers.beepboop2025-seiche]
url = "https://api.seiche.info/mcp"
// opencode.json
{
  "$schema": "https://opencode.ai/config.json",
  "mcp": {
    "beepboop2025-seiche": {
      "type": "remote",
      "url": "https://api.seiche.info/mcp",
      "enabled": true
    }
  }
}
# add to OpenClaw
openclaw mcp add beepboop2025-seiche --url https://api.seiche.info/mcp --transport streamable-http
# ~/.hermes/config.yaml
mcp_servers:
  beepboop2025-seiche:
    url: "https://api.seiche.info/mcp"
// mcp.json
{
  "mcpServers": {
    "beepboop2025-seiche": {
      "type": "http",
      "url": "https://api.seiche.info/mcp"
    }
  }
}

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 0
    • Schema quality: 1106 → 1238 functional
    • New tool “institutional_flows” functional
  • 2 Aug 26 +9
    • Authorization: unverified → partial security
    • The server now declares the “prompts” capability functional
    • First check of Schema quality: 100 functional
    • New prompt “is_now_dangerous” functional
    • New prompt “funding_stress_briefing” functional
    • New prompt “crisis_replay” functional
    • Server version: 0.7.1 → 0.8.0 functional
  • 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 +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
  • 29 Jul 26 +2
    • Tool “historical_analogs” rewrote its description, which is the text the model reads security
    • Tool “funding_stress_forecast” rewrote its description, which is the text the model reads security
    • Tool “positioning_book” rewrote its description, which is the text the model reads security
    • Tool “ask_desk” rewrote its description, which is the text the model reads security
    • Tool “replay_asof” rewrote its description, which is the text the model reads security
    • Tool “desk_brief” rewrote its description, which is the text the model reads security
    • Schema quality: pass → fail functional
    • Schema quality: good → excellent functional
  • 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 +1
    • We updated how we score, so this day's move reflects our rubric, not a change to the server See what changed → functional
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://api.seiche.info/mcp

TLS valid

Negotiated TLS 1.3 with TLS_AES_128_GCM_SHA256 .

Subject Issuer Valid from Valid until Key Signature Serial
CN=api.seiche.info CN=YE1,O=Let's Encrypt,C=US 9 Jul 2026 7 Oct 2026 ECDSA 256 ECDSA-SHA384 5124ecbed078faee1a2903ca8d3b4470ad0
SANs: api.seiche.info
CN=YE1,O=Let's Encrypt,C=US (CA) CN=Root YE,O=ISRG,C=US 3 Sept 2025 2 Sept 2028 ECDSA 384 ECDSA-SHA384 5ddd70dd31f801c85c186a7a04b80afe
CN=Root YE,O=ISRG,C=US (CA) CN=ISRG Root X2,O=Internet Security Research Group,C=US 13 May 2026 2 Sept 2032 ECDSA 384 ECDSA-SHA384 872165fc34b6e5fba8add5b3705fb53a
CN=ISRG Root X2,O=Internet Security Research Group,C=US (CA) CN=ISRG Root X1,O=Internet Security Research Group,C=US 13 May 2026 2 Sept 2032 ECDSA 384 SHA256-RSA 6c8f1dc727c7117f7baf853ac980f9cd
DNSSEC secure

Validation of api.seiche.info. Secure

Zone DS Keys Algorithms Outcome
. trust_anchor 20326, 38696 8, 8 Verified
info. present 5104 8 Verified
seiche.info. present 2371 13 Verified
api.seiche.info. Verified address RRset verified with the apex keys
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
Header Value
strict-transport-security max-age=31536000; includeSubDomains; preload
content-security-policy default-src 'none'; frame-ancestors 'none'; base-uri 'none'
x-content-type-options nosniff
x-frame-options DENY
referrer-policy strict-origin-when-cross-origin
permissions-policy camera=(), microphone=(), geolocation=(), payment=(), usb=()
Transports 2 probes
Transport URL Outcome Status Location
streamable-http https://api.seiche.info/mcp Verified 200
http (plaintext) http://api.seiche.info/mcp HTTPS enforced 308 https://api.seiche.info/mcp
MCP tools — 11 exposed · ~862 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
ask_desk ~68

Ask a natural-language question about funding conditions, answered strictly from the live board with the grounding cited. Requires an LLM endpoint configured on the server; if none is configured the tool says so instead of guessing.

NameTypeReqDescription
questionstringyesYour question about funding conditions (1-600 chars).

No output schema declared.

No examples provided.

crypto_stress_record ~96

Labelled crypto stress episodes (Black Thursday 2020, Terra, FTX, the SVB/USDC weekend, the Oct-2025 liquidation cascade, the Ethena unwind) replayed point-in-time against the dollar-funding board. External wrecks show transmission; crypto-native wrecks show the board correctly staying quiet. Use for any 'does TradFi funding stress reach crypto' question, grounded in the record.

Input schema present but exposes no named parameters.

No output schema declared.

No examples provided.

data_health ~46

Freshness, provenance, and fault status for every underlying series (FRED, NY Fed, OFR, Treasury). Call this to confirm the board is current before relying on a reading.

Input schema present but exposes no named parameters.

No output schema declared.

No examples provided.

desk_brief ~49

The full human-readable desk brief for today as markdown, a narrative summary of the whole board. Good when you want prose to quote or summarise rather than structured fields. Built from free public data.

Input schema present but exposes no named parameters.

No output schema declared.

No examples provided.

funding_stress_forecast ~99

Forward odds of a funding-stress event over the next 5/10/21 business days from six independent views: three P(event) models (term structure, first-passage physics, gradient boosting) and three stochastic scenarios on the index (regime-transition Markov, OU plus jump analytic marginal, Monte Carlo path fan). Agreement across views is the signal. Built from free public data. Use for any forward-looking liquidity-risk question.

Input schema present but exposes no named parameters.

No output schema declared.

No examples provided.

funding_stress_now ~82

The live money-market funding-stress reading: a 0-100 composite index, the regime (CALM/EROSION/STRAIN/STRESS), per-component decomposition, the market-stress 'Tell', and any data faults. Ask this whenever an analysis touches US dollar funding, repo, reserves, the Fed's balance sheet, or liquidity conditions.

Input schema present but exposes no named parameters.

No output schema declared.

No examples provided.

historical_analogs ~60

The historical days most similar to today's funding conditions, and how often those analogs led to a stress event, plus a novelty flag for whether today has any close precedent. Use to ground a 'what usually happens from here' question in real history.

Input schema present but exposes no named parameters.

No output schema declared.

No examples provided.

institutional_flows ~132

Hedge-fund / pension / sovereign positioning nowcast from public prints: the Treasury basis-trade size proxy (CFTC leveraged-fund net short, with a funding-fragility flag), asset-manager duration demand, foreign-official custody flows (H.4.1), a mixed-frequency fused positioning index with uncertainty bands, and how self-exciting stress events currently are (Hawkes branching ratio). Weekly cadence, point-in-time. Ask this when a question involves hedge fund leverage, the basis trade, pension duration bids, or sovereigns buying/selling Treasuries. Built from free public data.

Input schema present but exposes no named parameters.

No output schema declared.

No examples provided.

positioning_book ~62

The stance (risk_on / risk_off / neutral) and positions implied by the stress read, with the walk-forward Sharpe, the live as-published record, and the ensemble event odds. Not investment advice, a codified reading. Built from free public data.

Input schema present but exposes no named parameters.

No output schema declared.

No examples provided.

proof_backtest ~60

The backtest scoreboard, stated honestly: recall and precision with 95% confidence intervals over labelled funding events, an orthogonal robustness test, every named episode (hits and misses), and the caveats. Use to judge how much to trust the readings.

Input schema present but exposes no named parameters.

No output schema declared.

No examples provided.

replay_asof ~108

Reconstruct the entire funding-stress board as it read on a historical date, point-in-time with no lookahead: the composite, the regime, the per-component decomposition and the crunch windows for that date. Use to test whether Seiche would have flagged a past liquidity episode, or to align a backtest with what was knowable then. Built from free public data.

NameTypeReqDescription
datestringyesCalendar date as YYYY-MM-DD (e.g. 2019-09-17).

No output schema declared.

No examples provided.