Financial Evidence

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---
name: financial-evidence
description: Route evidence-led research about GIFT City and IFSC, forex and currency conversion, gold funding and sale proceeds, money markets, capital-market transmission, China economics and information controls, financial-institution risk, or market liquidity across Seiche, LiquiLens, Undertow, and Palimpsest. Use for sourced research and bounded scenarios, not trading, portfolio, or personalized financial-advice requests.
license: MIT
---

# Financial Evidence

Build one evidence packet without flattening four different research questions
into one score.

## Route the question

- Use **Seiche** for system funding, repo, reserves, Treasury cash,
  money-market structure, bounded capital-market transmission, dated forex
  references, and GIFT City funding/FX/gold context.
- Use **LiquiLens** for bank, lender, or other covered
  financial-institution balance-sheet risk.
- Use **Undertow** for market depth, provider fragility, crowding, and
  position-sized exit liquidity; use its explicit gold scenario for sale
  proceeds and cash availability when the user supplies the necessary inputs.
- Use **Palimpsest** for revision-safe China economic observations,
  information controls, erasure, and public-record provenance. Pair it with
  Seiche's metadata-only China macro catalog when the question crosses
  economics and information availability.

For GIFT City, serve gold importers and treasury desks, investors and fund
managers, and banks/IFSC institutions. Start with `gift-city` context; add
`forex` for dated reference rates, `bank-risk` for covered counterparties and
`market-liquidity` for exit context as relevant. Public research does not
establish IFSCA/IIBX eligibility, a complete fund directory, fund NAVs, an
institution's private ALM position, or availability of a funding facility.

For exact public endpoints, topic aliases, evidence classes, and citation
rules, read [references/routing.md](references/routing.md).

## Use the current hosted MCP workspace

Current connection files use `https://agents.seiche.info/products/financial-evidence/mcp`.
Start with `financial_evidence_datasets`. For a first task, call
`financial_evidence_workflow` with `workflow: "funding"` and `selection: "USD"`.
For custom cited rows use `financial_evidence_agent_query` with a dataset and
bounded limit; use `financial_evidence_review` for the funding, covered-bank and
liquidity review. Inspect source clocks, gaps and restrictions before drawing a
conclusion. `financial_evidence_packet` retrieves original documents when needed.

This workspace exposes nine reviewed tools. The older three-tool stdio router
uses `financial_evidence_fetch`; that name is not part of the hosted workspace.
Hosted requests produce bounded operational product/tool/dataset counts. Optional
learning is a separate owner-authorized choice; private prompts and query values
are not retained in those operational counts.

## Retrieve bounded context

When current public context would help, run the standard-library helper with
one or more topics:

```bash
python3 financial-evidence/scripts/fetch_evidence.py \
  --topic money-market --topic capital-market

python3 financial-evidence/scripts/fetch_evidence.py \
  --topic gift-city --topic forex --topic gold
```

Current-source helpers retrieve fixed source bytes through `https://agents.seiche.info/v1/data/`. The original publisher URL, content hash and source clocks remain in the receipt. Requests produce bounded operational dataset counts; optional learning stays separate and no direct-origin fallback occurs.

The verified 0.1.7 package and public MCP router support all eight topics,
including `gift-city`, `forex`, and `gold`; see the
[release verification record](https://github.com/beepboop2025/financial-evidence-skills/blob/main/docs/releases/0.1.7.json). Inspect the topic
list when using an older installation. A source checkout does not upgrade a
hosted MCP endpoint.

If the skill is installed into a 

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Referenced files: 2 — file references are metadata, not package contents.