Financial Evidence

Financial Evidence Agent Skills

Individual product plugins: install from the Liquidity Lab catalog in Claude Code, Codex or GitHub Copilot CLI. The catalog contains Financial Evidence, Market Brief and thirteen product plugins, with Gemini downloads and Cursor / VS Code connection links. Publisher-maintained availability is separate from each platform's official directory review.

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Hosted Streamable HTTP MCP; no local server or API key for public read-only tools.

Current-source connections use the central agent platform. Download the hosted product configurations: seven core products plus five clearly labeled research, editorial, metadata or sandbox surfaces. Python product clients, fixed-source helpers and current editor configs use the same platform. Requests produce bounded operational demand counts; optional learning remains off. Old package pins are historical releases and do not change automatically. See the routing contract. Add the products you need to Claude Code:

claude mcp add --transport http seiche https://api.seiche.info/mcp
claude mcp add --transport http liquilens https://api.liquilens.in/mcp
claude mcp add --transport http undertow https://api.seiche.info/undertow/mcp

Try this first: What is the current US funding stress regime, and which dated funding events are next? Cite source dates and missing evidence.

Python 0.1.13: run financial-evidence start, then financial-evidence review funding --output reviews for a readable brief, original JSON and a comparison at your next review. Install with python3 -m pip install financial-evidence==0.1.13. First-review guide.

Try it in your browser · Cursor configuration · Codex commands · Free three-product starter kit and skill

For a connected review, ask for institution evidence → funding context → BTC exit estimates, with each source date, coverage gap and limitation kept separate. Client/model costs and fair-use limits may apply. Research calls do not execute trades.

Start with one task: https://beepboop2025.github.io/financial-evidence-skills/connect/ — browser, REST, Python and remote MCP setup for funding, covered institutions and BTC exit research. Public reads need no account or API key; retain source dates and unavailable evidence.

Research workflows: funding watch, institution monitoring and BTC exit research. Save a local baseline, compare your next review, or copy the API request into your agent. Recurring agent hooks: the main CLI now includes financial-evidence workflow for automatic comparison with saved reviews, explicit usefulness feedback, linked outcomes and optional durable delivery. Python, LangGraph and AI SDK setup. Install Python financial-evidence==0.1.13 or npm @moomoo202020/financial-evidence-ai-sdk@0.1.2 using the guide.

Agent developers can retrieve a cited USD funding observation; treasury and bank-risk teams can use the institution monitor; traders and researchers can retain a funding-and-exit review. Each path includes working calls, source boundaries and a next-day task. Copy the instructions.

Verified package 0.1.13: install financial-evidence[workspace]==0.1.13 from PyPI for persistent MCP sessions, source-status snapshots and SSE clients. The separately deployed public router retains version 0.1.8. Both router versions support gift-city, forex and gold alongside the five existing research topics. GIFT City serves gold and treasury desks, investors/fund managers, and banks/IFSC institutions. The helper reads fixed public context; gold/FX calculations remain explicit user-input steps. See topic routing and the release verification record.

JavaScript agents: install @moomoo202020/financial-evidence-ai-sdk@0.1.2 from npm for typed AI SDK research and source-status tools. Copy the verified setup.

Stream reliability: Python 0.1.13 bounds the wait for a complete source-status event, so partial bytes and comment frames cannot hold a read open indefinitely. Python and JavaScript streams require an initial reset before accepting a keepalive; npm 0.1.2 includes the synchronized client. These research tools retain no trade-execution authority.

Office and Linux tools: refresh a funding comparison or institution watchlist, then download XLSX, ODS, CSV and a document brief. Google Sheets functions, Excel Power Query, and a dependency-free local export command are included. Native app and marketplace verification states remain explicit.

Use your existing tools: the research tool hub provides a complete capture client, notebook, flat Excel/Power BI query and MCP project defaults for LiquiLens, Seiche and Undertow. Download the kit or connect the hosted OpenBB desk. Institutional vendor acceptance remains separate.

OpenBB Research Desk, Workspace 1.3.0 source. Seven cited datasets, a seven-tab Workspace app, an archived USD funding review, benchmark history charts, typed REST responses and a nine-tool MCP server connect all four projects. The hosted service is https://agents.seiche.info/v1/research. Install .[openbb,workspace] from this checkout, then run openbb-build and financial-evidence-api. The optional modules are included in the v0.1.13 wheel; the public router retains its separate three-tool contract. The hosted Workspace release identifies its exact source commit independently at /api/v1/release.

Check a captured USD funding review: the funding review checks compare required inputs, units, publication clocks and own-series observations across Seiche surfaces. The dated SOFR-IORB review exposes newer individual source dates; it does not claim the latest print for every instrument. Missing, overdue or contradictory evidence requires attention. Passing these checks is not an institutional-readiness certification.

Run recurring research: install the durable runtime for fixed policies, bounded scheduling, retained receipts, private MCP and backup recovery across LiquiLens, Seiche and Undertow.

Automate funding research: versioned packets, captured changes, Python, OpenBB and a local agent tool. Public access requires no account; optional application keys use explicit measurement consent. The hosted packet API and downloadable templates are versioned separately from the v0.1.13 wheel.

Three concrete jobs: funding review, Cosmos Bank NPAs and a $100k BTC exit with native n8n workflows and optional Slack/Telegram delivery. The Cursor task plugin bundles the same three focused skills and public MCP connections. Marketplace acceptance is separate.

Put it into a recurring workflow: the funding and counterparty workflow pack retains source documents, a spreadsheet index and a local integrity manifest. It includes a reviewed Python runner, an opt-in scheduling template and a ten-day integration scorecard. These examples use the existing 0.1.5 package; they do not change its release or evidence semantics.

Try the underlying evidence first: Open three browser research questions for bank NPA disclosures, dollar funding and BTC exit estimates. Each example calls its named public MCP after a click and displays the returned sources, dates and limits. No key or installation is needed. The page also has setup and starter questions for Financial Evidence and thirteen other hosted MCPs. The browser examples call individual services; they do not verify an Evidence Carrier or evaluate a combined Financial Evidence packet.

Public documentation includes a crawlable integration matrix plus agent-readable llms.txt, pricing, integration metadata, and a dated third-party marketplace ledger. The v0.1.5 semantic contract defines transport-only status, source-reported adapter metadata, and the explicit non-Carrier boundary. Version 0.1.13 is a signed, independently verified release. Its versioned Agent Skill, terminal, Codex, Gemini, editor, and bundle installs use the same release, with published artifacts, container and Registry record. Homebrew 0.1.13 is published after an independent macOS installation and contract check. The Claude self-hosted marketplace command follows the repository's mutable default branch; review the checked-out commit before enabling it.

Open, read-only Agent Skills for routing financial research to bounded public evidence. The first skill connects four complementary products without turning them into one score: