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Signal Ledger Financial Intelligence

by io.github.blf2097
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Server Details

Paid bilingual MCP tools for evidence-linked SEC filing risk and finance-author track records.

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Status
Healthy
Uptime
100.0% over the last 24 hours
Last Tested
Transport
Streamable HTTP · MCP 2025-11-25
URL
Repository
blf2097/stock-signal-ledger
GitHub Stars
0
ChatGPT
–
Claude
–

TDQS

A4.1/5.0

Scored across 2 tools

Disambiguation5/5

The two tools address entirely distinct purposes: one analyzes financial reports for risk, while the other evaluates an author's prediction track record. There is no functional overlap or ambiguity between them.

Naming Consistency5/5

Both tool names follow a clear snake_case verb_noun pattern: analyze_financial_report_risk and get_author_track_record. The naming style is consistent and predictable.

Tool Count3/5

With only two tools, the server feels thin for a service branded as 'Financial Intelligence.' The tools are each substantive, but two is borderline and leaves the overall offering underpopulated.

Completeness2/5

The tool surface covers only two isolated paid lookups and lacks broader financial workflows such as filing retrieval, comparison, portfolio analysis, or monitoring. Significant gaps remain for any comprehensive financial intelligence use case.

Available Tools

2 tools
analyze_financial_report_riskFinancial Report Risk Analysis / 财报风险体检A
Read-onlyIdempotent
Inspect

Paid full audit ($0.25 USDC): analyze financial-statement risk, earnings quality, cash-flow anomalies, accounting red flags, debt pressure, governance issues and data quality. Supply report text, or provide a US stock symbol to retrieve an official SEC filing automatically. Returns evidence-linked, machine-readable risk findings. / 收费完整体检（0.25 USDC）：识别财报风险、盈利质量、现金流异常、会计红旗、偿债压力、治理与数据质量问题；可提交原文，也可只提供美股代码自动获取 SEC 原始公告。

Inputs: mode, period, symbol, company, +3 more. Returns: ok, mode, tool, error, +3 more

get_author_track_recordAuthor Track Record / 作者历史成绩A
Read-onlyIdempotent
Inspect

Paid lookup ($0.02 USDC): return a financial author's or stock commentator's resolved prediction history, sample size, hit rate, Wilson confidence interval, coverage, breakdowns and freshness. Useful for creator credibility, investment-influencer reputation and due-diligence workflows. / 收费查询（0.02 USDC）：返回财经作者或股票博主的历史观点成绩、命中率、样本量、置信区间、覆盖范围和数据新鲜度。

Inputs: handle (required), type, window_days. Returns: ok, mode, tool, error, +3 more

Tool Schema Changelog

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