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Seiche — Funding and FX Evidence

Seiche — Funding and FX Evidence

Server Configuration

Describes the environment variables required to run the server.

NameRequiredDescriptionDefault

No arguments

Instructions

Guidance the server publishes about itself, which clients place ahead of the tool catalog so the model reads it before choosing anything.

This server publishes no instructions, or was last inspected before Glama recorded them.

Capabilities

Features and capabilities supported by this server

Protocol revision2025-11-25

CapabilityDetails
tools
{
  "listChanged": false
}
prompts
{
  "listChanged": false
}

Tools

Functions exposed to the LLM to take actions

NameDescription
gift_city_contextA

Read dated USD/INR funding, separate ECB and CBUAE VAT FX references, and CFTC COMEX gold positioning. Cache-only research with source clocks; no executable prices or regulatory eligibility determination.

gold_inventory_carryA

Calculate fine gold, simple financing cost and INR per fine gram from explicit decimal-string assumptions. All inputs are caller supplied, no quote is verified, and inputs are not persisted.

market_workbenchA

Query dated observations for a selected currency pair and optional accepted China annual series. Choose this for a time series, same-date FX cross, or observed-interval change; use world_markets_context for a chartless overview and money_market_context for funding-desk metrics. Read cached official FX reference histories and same-date currency crosses, with native units, provenance, age and observed-interval changes. Inspect owner-accepted Palimpsest China annual economic series and revision-aware history beside the CNY reference. Daily fixings, annual context and licensed gaps remain distinct. No collection, model fitting, executable quotes or scoring.

research_networkA

Discover which published datasets and sibling-product tools can answer a research question. Choose this for catalog discovery and handoff links, not for market observations: use world_markets_context for a market overview or market_workbench for supported FX and China histories. Explore the Palimpsest dataset catalog by topic, with source clocks, rights, freshness and pagination. Includes Seiche's separately completed funding context and explicit research steps into institution filings, exit liquidity and NarcoScope's granular global data. Source metadata and funding interpretations stay distinct. May fetch the published catalog; does not retrieve underlying dataset values or call the suggested sibling tools. No source collection, score changes, causal joins or trading authority.

latest_articleA

The latest available full-text Seiche editorial, which may predate today. Returns the canonical headline, dek, Markdown, publication date, evidence clock, generation mode and passing publication receipt. Report its publication and evidence dates; do not describe an older edition as today's analysis. Use funding_stress_now for current funding conditions, and quote the article without regenerating facts.

funding_stress_nowA

Read the current US dollar funding-stress conclusion. Choose this for the headline regime and its drivers; use money_market_context for detailed rate and liquidity metrics, or data_health to inspect input freshness. Returns a 0-100 composite index, the regime (CALM/EROSION/STRAIN/STRESS), per-component decomposition, the market-stress 'Tell', and any data faults. Preserve the source dates and missing evidence when reporting the reading.

trade_safety_risk_contextA

Read a small, fixed funding-state payload for an automated guard's freshness and coverage checks. Choose this only when that integration needs the bounded metadata contract; use funding_stress_now for research explanations and data_health for per-source diagnostics. A deterministic, bounded projection of the last completed Seiche board: funding regime, 0-100 stress index, coverage, source staleness counts, snapshot clock, and conservative evidence clock. It repeats the rights check and never collects, fits, calls a network source, reads a notary ledger, or contacts a broker. This is metadata-only derived context, not order-bound, non-executable, never real-money eligible, and it does not evaluate stream attestations or treat them as per-order authority.

money_market_contextA

Inspect a funding desk's rates, spreads, policy corridor, liquidity buffers and source-level evidence. Choose this for detailed funding metrics; use funding_stress_now for the headline US stress regime, world_markets_context for a cross-asset overview, or market_workbench for FX and accepted China time series. Start with section='summary' for USD. Use section='countries' for the public-source country catalog, or add country='JP' (a supported ISO alpha-2 code; UK is an alias for GB) for dated policy, funding, liquidity and sovereign references. Country coverage is partial and monthly references are explicitly separate from daily curves. Granular, descriptive USD money-market context from the already assembled desk: policy corridor and overnight spreads; SOFR/TGCR/BGCR distributions and tails; repo-segment rates and volumes; CP-Treasury spreads; bills and cash curve; liquidity buffers and Fed facilities; and MMF repo plumbing. Use section='india' for the India funding, RBI liquidity, policy and sovereign-curve desk from a bounded canonical observation read. It keeps benchmark identities, date alignment, curve movements and mechanism hypotheses separate. India defaults to view='full' for compatibility; prefer view='summary' for findings, constraints and an exact metric ID catalog, then view='metric' with metric_id for one complete evidence card. These India-only views are independent reads, not a pinned snapshot or pagination. Otherwise use optional section to request a compact summary, one named USD desk section, diagnostics, sources, methodology, or all context. Diagnostics count funding persistence, compare secured/unsecured benchmarks and show calendar cohorts with sample limits, without changing any score. Returns exact-date alignment, native-cadence changes, empirical own-history statistics, freshness, coverage, formulas, sources, and caveats as applicable. Chart history is always omitted. USD reads only an already completed cached or persisted snapshot; it never triggers collection or engine recomputation, while freshness is re-evaluated at response time. Context only: no causal, predictive, probability, or trade claim.

world_markets_contextA

Summarize the available money-market, FX, macro-capital and China evidence when a question spans markets or its scope is not yet clear. Start with section='summary', then select a relevant section. For detailed funding metrics use money_market_context; for dated FX/accepted China observations use market_workbench; for external dataset discovery use research_network. This chartless overview is not a time-series query. It projects only completed/public state into money_markets, forex, macro-capital transmission, China macro evidence, official references, methodology, or a compact summary. Every response carries snapshot/as-of clocks, canonical Seiche citation URLs, and explicit observed, derived, structural, restricted, and unavailable boundaries. The China structural catalog is unsigned; only status=restricted represents a verified Seiche owner-attested revision; both states keep NBS values, raw evidence, and history withheld. A separately operator-accepted economic_context may publish licensed World Bank WDI values with annual/structural freshness, distinct release, Palimpsest collection, and Seiche acceptance clocks. Those values are context only and never a live print, score, gauge, forecast, or signal. The sources selector is reference-only; use all when verified China context and its NBS source linkage must appear together. Coverage is curated and partial rather than exhaustive or uniformly live. It never triggers collection, repository history reads, or model fitting. Its named-field whitelist omits chart and history arrays for data minimization; that is not a per-record licensing audit. Capital coverage is limited to public positioning proxies, Treasury primary-market absorption, market stress, official liquidity and global dollar credit—not a security master, issuer-data service or consolidated tape. Use Undertow instead when the question is specifically about executable depth, liquidity-provider concentration, or position-sized exit cost.

historical_analogsA

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.

proof_backtestA

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.

data_healthA

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.

crypto_stress_recordA

Labelled crypto stress episodes (Black Thursday 2020, Terra, FTX, the SVB/USDC weekend, the Oct-2025 liquidation cascade, the Ethena unwind) replayed with causal truncation but final/current-vintage inputs 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.

institutional_flowsA

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.

oil_funding_contextA

Observed WTI/Brent, commercial-paper and SOFR−IORB evidence; Ballast's WTI/Henry Hub CFTC positioning, gross mark-displacement proxy, paying-side concentration and EIA inventory ledger; live Cushing stocks and the Brent−WTI spread kept separate from dated capacity, benchmark and chokepoint references; the change-on-change oil/CP association; plus explicitly scenario-only cargo-credit, margin and India cash arithmetic. Use when a question asks how oil or energy futures can transmit cash pressure into dollar funding. Ballast is not an observed margin call; dated structure is not live transit data; nothing here is a forecast, trade signal, or Seiche composite input.

fx_materials_passageA

The live upstream FX and physical-material pressure read versus funding already priced in SOFR and commercial paper, with the Passage's discovery/holdout ledger, de-clustered analogs, dollar-system context and settlement scenarios. Use for currency weakness, commodity working capital, FX settlement, or whether trade-flow cash pressure is reaching money markets. Context only; an earned link is stable association, not causation.

Prompts

Interactive templates invoked by user choice

NameDescription
is_now_dangerousA direct, evidence-backed answer on whether current funding conditions are dangerous, with the honest track record attached.
money_market_deep_diveA granular but bounded read of overnight rates, secured and unsecured funding, bills, official liquidity buffers, and MMF repo plumbing.
world_markets_briefingA broad, source-clock-aware financial-market briefing with explicit coverage boundaries.
cross_market_cash_pressureA context-first cross-market read that keeps observed funding stress, holdout-tested associations and scenario arithmetic separate.

Resources

Contextual data attached and managed by the client

NameDescription

No resources

TDQS

A4.1/5.0

Scored across 16 tools

Disambiguation4/5

The descriptions do heavy explicit lifting, each naming sibling tools to prefer for adjacent questions (e.g., money_market_context vs funding_stress_now vs world_markets_context). Domains are mostly distinct (funding, FX, oil, gold, crypto, discovery, editorial), though the cluster of '*_context' tools still creates some residual overlap that only careful reading resolves.

Naming Consistency4/5

All names are consistently snake_case and thematically readable. However, the convention is not a uniform verb_noun pattern—it mixes domain_context names with noun phrases (data_health, latest_article, historical_analogs, proof_backtest, institutional_flows)—so it is recognizable but not fully predictable.

Tool Count4/5

16 tools is slightly heavy but each maps to a genuinely distinct evidence artifact (stress index, backtest, analogs, flows, health, article, several market desks). Nothing appears redundant enough to warrant removal, but it sits just above the comfortable 3-15 range.

Completeness4/5

The surface covers the funding/FX lifecycle well: current stress, historical analogs, backtest trust, flow proxies, data health, discovery and editorial. Minor gaps (e.g., no explicit alerting/threshold or user-preference operation) are workable around, and there is clear guidance to external sibling products for adjacent needs.

Maintenance

ActivityActive
ResponsivenessLimited data