LiquiLens — the Failure Radar

io.github.beepboop2025由 GitHub 帳號 beepboop2025 發布v1.8.1更新於 Oct 28, 2026

Free bank-filing and counterparty research; cited evidence limits; public MCP needs no API key.

已驗證Streamable HTTP可網頁執行金融知識與記憶資料與分析

概覽

AI 產生的概覽

唯讀研究型 MCP,讓助理取得 LiquiLens 及其關聯產品提供、附引用的銀行倒閉、融資壓力與加密流動性證據。

可以做什麼
  • 查閱印度銀行與放款機構:附引用的不良貸款歷史、撥備覆蓋率定義、資本範圍、不良貸款變動核對、涵蓋情況與單一機構檔案(含違約機率軌跡與印度央行監理區間狀態)。
  • 檢索名錄與涵蓋範圍:印度央行註冊 NBFC 名錄、機構檔案、複核資料包與證據監控。
  • 讀取壓力看板:企業傳導、家庭信用、加密曝險與市場狀態、穩定幣通道與前瞻機率。
  • 讀取歷史證據:印度、美國、歐洲的建構式時點診斷及其資格標記與具名案例檔案。
  • 讀取編輯與監理內容:當日文章、印度央行執法紀錄,並以雜湊鏈驗證已發布紀錄。
適用情境
適合需要附來源與日期之印度放款機構脆弱性、美國融資與家庭壓力傳導,或加密與穩定幣流動性證據的情境,且要求明確標示涵蓋缺口與限制而非自行填補。適用於研究與複核流程,不適用於交易或授信決策。
執行需求
遠端 Streamable HTTP 端點;公開唯讀工具不需本機安裝、帳號或 API 金鑰。需要能連線至該託管端點的網路。可能產生用戶端或模型費用,並受合理使用限制。
安裝前請注意
所有工具輸出皆為唯讀研究結果,並非評等或投資建議;歷史診斷明確標示為未經驗證的回測、不適用於真實資金。證據可能過期或缺失,無法讀取的管道會以缺口呈現。部分工具回傳僅供展示的看板,不具評分權限。README 提到一個選用配套技能,其稽核仍保留若干發現且上傳未簽章,安裝前應先審閱。

安裝

在 SourceWeft 中

  1. 開啟 儀表板中的 LiquiLens — the Failure Radar,將其新增到工作區。
  2. 為需要使用其工具的對話啟用該服務。

Web executable,透過 Streamable HTTP。 遠端服務在工作區中設定後即可從網頁執行環境執行。

交給代理程式安裝

把這段提示詞貼上到 Claude Code、Codex、Cursor 等代理程式,或 SourceWeft 對話中。代理程式會讀取該伺服器的安裝指南,先向你展示發布者、端點和登入方式,經你同意後再把它新增到你的客戶端。金鑰不會寫進任何命令。

閱讀 https://sourceweft.com/mcp/io.github.beepboop2025%2Fliquilens/install.md,並按其中說明把這個 MCP 伺服器接入我的客戶端。修改任何設定之前,先告訴我它的發布者、端點和登入方式,等我確認。不要把 API 金鑰寫進命令或我會提交的檔案;問我金鑰應從哪裡取得。

檢視代理程式所依據的安裝指南

其他 MCP 客戶端

把它新增到你客戶端的 mcpServers 設定中。

{
  "mcpServers": {
    "liquilens-the-failure-radar": {
      "type": "http",
      "url": "https://api.liquilens.in/mcp"
    }
  }
}

README

LiquiLens MCP — the Failure Radar as agent tools

Connect and ask one question

Hosted Streamable HTTP MCP; no local server or API key for public read-only tools. Add the products you need to Claude Code:

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

Try this first: What changed in ESAF Small Finance Bank's NPAs? Cite the filing, reporting period and missing disclosures.

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.

Endpoint: https://api.liquilens.in/mcp (streamable HTTP, no auth, no install)

LiquiLens is the institution-evidence product of LIQUILENS PRIVATE LIMITED, a registered company in India (CIN U62011RJ2026PTC116792). One company, three connected products: LiquiLens investigates institutions, Seiche explains funding conditions, and Undertow examines market liquidity. People and AI agents can follow an exposure across all three while retaining each product's source dates, coverage gaps and research limits. International access does not imply universal market coverage or a shared score.

Read the company and investor story and the shared company profile.

Try it live: liquilens.in/developers · REST catalog: api.liquilens.in/api

LiquiLens is a failure early-warning system for banks and lenders, built on public data with a machine-readable historical-evidence boundary served beside every claim. Anonymous discovery on 11 October 2026 returned MCP 1.8.1 with 24 read-only tools and 5 guided prompts, so an agent reads the same status, eligibility flags and cited record a human sees. The repository contract separately pins MCP 1.8.1 at d6f99bdf2de14e8ef2f29032cf9561ca8a446de8, with 23 read-only tools and 5 guided prompts. The capability tables below describe that pinned source. Discover the hosted endpoint for the current public inventory, including institution_evidence_monitor.

It now reads both ends of the chain: which institutions are fragile, and whether that stress is actually crossing into the real economy: companies rolling paper and drawing credit lines, households falling behind. Channels that cannot be read are named in cannot_see rather than reported as calm.

Add it

For Hermes and OpenClaw, use the native setup guides:

The current guides select thirteen research tools across LiquiLens, Seiche and Undertow, including GIFT City, reference FX and gold scenarios. Their dated native-client receipts retain the original nine-tool selection and exact verification scope. Public research requires no account or API key; fair-use limits apply and your model provider may charge separately.

The free starter kit also includes a Python brief, a manual n8n funding workflow and configurations for the clients below.

OpenClaw users can also install the optional research instructions from ClawHub:

sh
openclaw skills install @beepboop2025/liquilens-trading-research --version 1.1.0

Connect the MCP servers using the OpenClaw guide first. The skill supplies task instructions and a configuration template; installation does not configure servers or run research. Its source bundle is MIT-0; that license does not relicense source data or API responses.

Checked on 4 October 2026 (UTC): version 1.1.0 is public and ClawHub's version-pinned verification result reports a passed security check with a benign, high-confidence verdict. Its embedded detailed scanner report retains seven findings, including medium external-transmission flags for the public MCP URLs, and reports partial analysis. Review the versioned security audit before installation and use public research inputs. Its isolated Linux install recorded the correct version and matched all three reviewed source files. ClawHub's public verifier and the installed Linux client's version-pinned openclaw skills verify now both report pass, with the generated Skill Card present. The upload is unsigned and has no server-resolved GitHub import provenance. A fresh isolated macOS install after storage recovery also matched all three source-file hashes, and its version-pinned verification reports pass. The earlier macOS timeout remains a separate failed attempt. No model or research tool ran in these checks. The direct MCP configuration is available independently of the ClawHub skill.

Claude Code:

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

Codex:

codex mcp add liquilens --url https://api.liquilens.in/mcp

Cursor: merge the remote MCP config into .cursor/mcp.json for one project or ~/.cursor/mcp.json for all projects. The download includes the companion Seiche funding endpoint. Preserve existing entries. For an existing Codex config, use the TOML snippet and merge its server entries into ~/.codex/config.toml.

Claude.ai / ChatGPT: add a custom connector or MCP app with the endpoint above where that feature is available in your workspace.

This repository is the public discovery and documentation mirror. The hosted implementation is maintained in a private core repository. This public mirror pins its inspectable capability contract to the reviewed source revision above. The official Registry entry uses the name io.github.beepboop2025/liquilens. This repository's Registry metadata revision 1.8.1 points to the public mirror and free starter kit. The hosted MCP now reports version 1.8.1 at the same endpoint. The Registry metadata and runtime happen to share a version number; they remain separately verified contracts. The pinned source and tool inventory above describe the current runtime. The existing Registry record continues to identify this public mirror.

The current runtime separates fresh model results from reviewed filing facts: expired filing scores are excluded from the live board, current disclosures retain their official source and publication clocks, and inactive institutions remain identifiable in historical evidence. Its US evidence includes the June 2026 panel and reviewed 2026 failure notices through 25 September.

Query source histories

The separate source-data MCP and Python client expose funding histories, bank filings and Bitcoin/Liquid settlement observations with source receipts, native units and capture clocks. Use the live coverage table or import its OpenAPI contract.

Run a research task

The research recipes run with Python 3.11+ and its standard library. No API key, LLM or Python package install is needed. Download and inspect financial_research.py, then run:

sh
python3 financial_research.py bank-reviewpython3 financial_research.py bank-review --slug cosmos-ucbpython3 financial_research.py funding-brief

The first command discovers covered bank slugs. The second checks coverage before retrieving that exact bank's sourced asset-quality history; an absent slug stays not_covered. The funding brief calls Seiche's money-market desk. Returned evidence retains its native source dates, eligibility, unavailable states and limitations; a successful request does not imply fresh or complete evidence. Each run is bounded and performs no scheduling or trading. Operators should add --verification so their checks are labelled synthetic and excluded from adoption totals.

For a visual workflow, download the n8n bank-review workflow and follow the import guide. It uses a manual trigger and no LLM. The guide records its execution-verification status; a downloadable workflow does not imply acceptance into n8n's template library.

Protocol compatibility

  • 2026-07-28: stateless requests use server/discover, per-request _meta, MCP-Protocol-Version, and mirrored Mcp-Method / Mcp-Name routing headers.
  • 2025-11-25, 2025-06-18, and 2025-03-26: retained legacy initialization, tools, prompts, notifications, batching, and ping behavior.
  • Tools, prompts, and discovery responses are deterministic. Modern list responses carry public cache metadata.
  • resources/list and resources/templates/list are supported and currently return empty catalogs. resources/read returns an explicit not-found error instead of inventing a resource.

Tools

ToolWhat it serves
bank_asset_quality_reviewExact-slug bank review with sourced GNPA/NNPA history, percentage-point changes, distinct PCR definitions and capital/supervisory scope; no new score or credit approval
bank_npa_reconciliationArithmetic check of a complete caller-supplied NPA movement table; keeps cash recoveries, write-offs, sales and upgrades distinct without authenticating the input
banking_specialisation_coverageDiscover covered Indian commercial, small finance and urban cooperative banks, with observed, stale, historical and absent evidence distinguished; not a census or rating
corporate_transmission_boardIs funding stress reaching nonfinancial firms? The commercial-paper market, bank credit lines, real-economy confirmation (claims, capex, inventories, openings, business bankruptcies) and a balance-sheet context channel, with a TRANSMITTING/CONTAINED verdict
crypto_exposure_boardCited bank/crypto exposure register joined to Undertow run-risk context; display-only, never an institution score
crypto_regime_boardCompact BTC/ETH change-point state and its display-only cross-read against disclosed bank exposure
evidence_europeNAMED_CASE_FILES_CONSTRUCTION_PIT: seven audited case files, deliberately no cohort claim; both eligibility flags false
evidence_indiaPERIOD_END_PROXY_CONSTRUCTION_PIT: 48 institutions across two decades, misses and false alarms included; both eligibility flags false
evidence_institutionOne Indian institution's construction-PIT crisis replay with sourced quarterly rows
evidence_marketsHistorical-evidence status for all three markets, with validated_backtest_eligible and real_money_eligible served explicitly
evidence_usCURRENT_AMENDED_CONSTRUCTION_PIT: 552 FDIC failures since 2008, 72.8% recall, 21.7-month median lead and AUC 0.854; both eligibility flags false
failure_radar_boardThe live board: every Indian lender with a fresh vetted dossier, including failure PD term structure (12/24/36m), RBI action-zone status, funding fragility, market distance to default, and watchlist tier under a published rule
failure_radar_institutionOne institution in depth: PD trajectory with drivers, PCA/SAF headroom history, forensic screen, market reading
forward_oddsCounted forward stress odds for each public-signal layer, withheld until the layer has enough observed history
household_credit_boardIs stress transmitting through household balance sheets? Fed delinquency and charge-off legs against each leg's own trailing decade, two-sided revolving-credit velocity, debt service as unscored context
institution_research_coverageDiscover institution dossiers, registry entries and reviewed filing facts with separate observed, stale, historical, subset and registry-only states; coverage is not a rating or permission to trade
institution_review_packetOne lender's deterministic evidence packet for human review, with coverage and freshness stated explicitly
latest_articleToday's exact evidence-led LiquiLens article, or a labelled historical replay when the evidence did not move
rbi_supervisory_tapeLatest RBI enforcement actions, each linking to the RBI's own page
research_networkBounded source discovery for connected Palimpsest, Seiche and Undertow research with availability and evidence boundaries intact
stablecoin_rails_boardIssuer peg, redemption-run, chain-concentration and rail tripwire state; missing data never becomes CALM
universe_searchRBI's official registered-NBFC registry (9,000+ entries)
verify_published_recordIndependent cryptographic verification of the as-published record

Prompts

PromptGuided playbook
bank_asset_quality_briefDiscover an exact bank slug, review cited NPA history and capital scope, then reconcile only a complete disclosed movement table; preserve stale/missing evidence and supervisory gaps
crypto_liquidity_briefingBTC/ETH regime, stablecoin rails, and disclosed bank links in one display-only evidence pack
failure_radar_briefingBoard-level institution risk with transmission context from the public US signal layers
institution_health_checkOne lender health check with the historical-evidence boundary and uncertainty attached
stress_evidence_packRegion-specific evidence for India, the United States, Europe, or the cross-market summary

The governance line

The generative layer explains; deterministic screening policy scores. Historical diagnostics retain their served evidence status and eligibility flags and do not become validated-backtest or real-money evidence merely because a deterministic engine produced them. Screens, not ratings; not investment advice. Institutions without a vetted dossier are absent by design — the tools say so rather than inventing a score.

The three historical status tokens are part of the API contract, not marketing copy: PERIOD_END_PROXY_CONSTRUCTION_PIT for India, CURRENT_AMENDED_CONSTRUCTION_PIT for the United States, and NAMED_CASE_FILES_CONSTRUCTION_PIT for Europe. In the current release, every market serves validated_backtest_eligible: false and real_money_eligible: false.

Siblings from the same lab

  • Seiche — US money-market funding stress (the plumbing)
  • groundcheck — claim grounding and citation verification
  • Palimpsest (https://api.seiche.info/palimpsest/mcp) — live internet-censorship signals
  • Undertow — the cross market liquidity map: daily tiered board, exit cost at position size, Telegram front door at t.me/undertow_LiquiLens_bot

Product: liquilens.in · Live demo: demo.liquilens.in

Directory listing

[AllMCPs listing]

This account-linked marker supports ownership review of the existing directory record. Directory badges and cached tool counts are separate from the live MCP contract and its evidence limits.

Quant research agent integrations

Native framework tools and cited quant pipeline captures connect Seiche funding, LiquiLens bank diagnostics and Undertow market liquidity through compact read-only tables. LangChain/LangGraph, CrewAI, OpenAI Agents and Pydantic AI share one evidence contract and repeat-call revision tokens. Current published history is not an as-published vintage archive. No execution authority or institutional-adoption claim is implied.

來源:README.md,提交 0e1ee5e

工具

24

bank_asset_quality_review

NPA, SFB and cooperative-bank review

Cited NPA changes, PCR definitions and capital scope for banks/SFBs/UCBs, plus separately dated provisional business updates when accepted. Keep each period and provisional status explicit. No score, credit or execution authority.

輸入參數slug必填as_ofinclude_history

bank_npa_reconciliation

Reconcile a disclosed NPA movement

Reconcile supplied NPA movements; keep recoveries/write-offs/sales/upgrades distinct. Arithmetic, not input authentication.

輸入參數statement必填

banking_specialisation_coverage

Indian banking evidence coverage

Bank/SFB/UCB coverage with stale and missing evidence. Research, not a census or rating.

輸入參數as_ofsector

corporate_transmission_board

Corporate Transmission board (US)

Answers ONE question: is US funding stress reaching nonfinancial firms? Use household_credit_board for households. CP, bank credit lines and real-economy confirmation; cannot_see preserves gaps. Seiche context never enters regime or transmission. Display-only; no institution score or tier. full:true adds methods.

輸入參數full

crypto_exposure_board

Bank/crypto exposure register

Read the compact cited bank/crypto exposure register: disclosed quantum, stablecoin and venue links, exposure channels, Undertow run-risk cross-read and compound flags. Detailed disclosures stay on the public REST detail route. Takes no arguments; display-only, never an institution score or investment advice.

無需輸入參數。

crypto_regime_board

Crypto Regime board (BTC/ETH)

Read the compact BTC/ETH Crypto Regime board: current change-point state, log-SR statistic, last shift, observation count and the display-only cross-read against disclosed bank exposure. Time-series paths stay on the public REST detail route. Takes no arguments; feeds no institution score and is not investment advice.

無需輸入參數。

evidence_europe

Historical evidence: European named case files

Read seven cited European retrospective case files through unrecalibrated Indian lenses. Named case studies, not a cohort: no European recall percentage to quote. Omit slug for summaries, or supply a returned slug for a full quarterly case file.

輸入參數slug

evidence_india

Historical diagnostic: India construction-PIT replay

Read the 48-institution Indian construction-PIT crisis diagnostic, including misses and false alarms. Uses publication clocks where present and a +60-day filing-lag proxy otherwise; overwritten amendments are unreconstructable. evidence_institution returns a full replay.

無需輸入參數。

evidence_institution

Historical diagnostic: one Indian case replay

Read a sourced Indian construction-PIT quarterly replay, lens alert timing and hit/miss/false-alarm verdict. Use evidence_india for exact slugs. Filing-availability proxies do not establish a validated backtest.

輸入參數slug必填

evidence_markets

Historical evidence status: all markets

Historical evidence: India (48-institution construction-PIT diagnostic), US (industry-wide current-amended vintage), Europe (named cases, no cohort claim). Start here, then evidence_india, evidence_us or evidence_europe for details.

無需輸入參數。

evidence_us

Historical diagnostic: US construction-PIT watchlist

Read US bank current-amended-vintage diagnostics and named replays, including misses. Not a validated point-in-time backtest. Report the quarterly top-decile budgeted watchlist beside recall, uncertainty and lead times; it is not an individual-bank verdict. include_trajectories:true adds histories.

輸入參數include_trajectories

failure_radar_board

Failure Radar board (India)

Vetted Indian lender PDs, PCA/SAF and funding. market_dd requires tier authority; diagnostic clocks/refusals stay in market_dd_evidence. Slugs for failure_radar_institution. Research, not a rating.

無需輸入參數。

failure_radar_institution

Failure Radar institution dossier

Read one Indian lender dossier: quarterly PDs and drivers, PCA/SAF headroom, funding, forensic and listed-market evidence. Discover slugs with failure_radar_board. Uncovered institutions remain absent, never scored from memory.

輸入參數slug必填

forward_odds

Markov forward odds per layer

Read counted Markov transitions and empirical 5/20-day reach odds. Odds are withheld until 60 observed days; counts stay visible and absence is never precision. Historical frequencies are not calibrated forecasts. Display-only, never a state driver.

無需輸入參數。

household_credit_board

Household Credit board (US)

Answers ONE question: is stress reaching US household credit? Use corporate_transmission_board for firms. Delinquency, charge-offs, revolving credit and unscored debt-service context; gaps stay in cannot_see. Display-only; no institution score or watchlist tier. full:true adds methods and histories.

輸入參數full

institution_evidence_monitor

Institution evidence monitor

Bank/NBFC evidence, gaps and review alerts. slug: one record; slugs: watchlist; neither: all tracked. End-of-day as_of. No scoring or delivery authority.

輸入參數slugas_ofslugsinclude_history

institution_research_coverage

Institution coverage

Search Indian dossiers or RBI rows. Overlapping populations; registry presence grants no financial coverage or score.

輸入參數qlimitscopeoffset

institution_review_packet

Institution review packet (India)

Cited human review packet for an exact slug or unique normalized full name. No fuzzy match or new score; stale/dark gaps retained. Content hash detects alteration, not attestation or publication-time proof.

輸入參數institution必填

latest_article

Latest evidence-led article

Read today's exact full-text LiquiLens editorial: current institution-risk analysis when the evidence moved, or a labelled historical replay when it did not. Returns the canonical headline, dek, Markdown, evidence clock and passing publication receipt; quote it without regenerating facts.

無需輸入參數。

rbi_supervisory_tape

RBI supervisory tape

Read the latest RBI enforcement and supervisory actions — monetary penalties, licence cancellations and supervisory directions — parsed from rbi.org.in press releases, newest first, each item carrying the RBI's own source URL. Takes no arguments. When no tape snapshot exists on the deployment, says so in a stated note instead of returning silent emptiness.

無需輸入參數。

research_network

Route to Palimpsest sources, Seiche funding, Undertow exit liquidity and NarcoScope data. Set limit for full metadata. Rights remain attached; no identity, score or eligibility changes.

輸入參數limittopicoffset

stablecoin_rails_board

Stablecoin Rails board

Paged peg/run evidence; partial data is never CALM. Follow pagination.next_offset. Full receipts on REST. Display-only, not investment advice.

輸入參數limitoffset

verify_published_record

Verify the published record

Verify a ledger stream by recomputing hash-chain commitments and checking enabled signatures and anchors. Returns the actual verifier verdict, including failures. Verifies record integrity, not economic accuracy.

輸入參數stream

版本歷史

2
  1. v1.8.1最新Sep 24, 2026
  2. v1.8.0Sep 16, 2026

評分

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  • 近 30 天內可連通必需25 分
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