earnings_transcript_signals
Earnings call transcript signal extractor for equity research analysts, catalyst-driven hedge funds, and BD teams. Parses earnings transcripts (fetched or provided) to surface: • signals (P0/P1/P2): guidance raise/cut, miss/beat vs consensus, buyback, dividend change, new product, executive chang...
This record as markdown: /tools/io-github-getgapup-mcp-knowledge/earnings-transcript-signals.md
What earnings_transcript_signals does on Mcp Knowledge
AI agents call earnings_transcript_signals to retrieve information from Mcp Knowledge without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
| Parameter | Type | Required | Description |
|---|---|---|---|
lang | string | — | Language hint for the transcript. Affects mock transcript language when fetch fails. |
async | boolean | — | If true, returns a job_id immediately (<200ms) instead of waiting for the result. Poll the result with job_result(job_id). Use for slow tools to avoid client ti |
quarter | string | — | Fiscal quarter in format Q1-2026. Defaults to the most recent past quarter. |
transcript_text | string | — | If provided, skips all external fetches and analyses this text directly. Minimum 100 characters. |
company_or_ticker | string | Yes | Company name or ticker symbol (e.g. 'Tesla', 'TSLA', 'SAP', 'SAP.DE', 'Sanofi', 'SNY'). European tickers (SAP.DE, BMW.DE) are mapped to their ADR equivalents fo |
Parameters from the server's own tool schema.
Why earnings_transcript_signals is rated Low
This tool reads and analyzes earnings call transcripts to extract signals and financial metrics. It retrieves/parses existing data without modifying anything. Severity is medium because the output (guidance cuts, M&A intent, regulatory risk signals) could inform high-stakes financial decisions, but the tool itself only reads and surfaces information rather than executing trades or financial transactions.
From the tool's definition Parses earnings transcripts (fetched or provided) to surface signals, kpis_mentioned, guidance, q_and_a_topics
Attacks that exploit this kind of access
The rule that runs earnings_transcript_signals safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Mcp Knowledge, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For earnings_transcript_signals, this is the rule to start with:
earnings_transcript_signals is read-only, so it stays allowed. Everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect Mcp Knowledge, apply this rule, and every earnings_transcript_signals call is checked against it from then on.
Questions about earnings_transcript_signals
Earnings call transcript signal extractor for equity research analysts, catalyst-driven hedge funds, and BD teams. Parses earnings transcripts (fetched or provided) to surface: • signals (P0/P1/P2): guidance raise/cut, miss/beat vs consensus, buyback, dividend change, new product, executive change, capex shift, M&A intent, regulatory risk, competitive threat, supply chain, hiring • kpis_mentioned: Revenue, EBITDA, EPS, FCF, Gross Margin, Operating Margin with YoY/QoQ % • guidance: raised / maintained / cut / new_initiated items extracted • q_and_a_topics: top Q&A themes detected (AI strategy, China exposure, M&A pipeline, macro, etc.) • overall_tone: bullish / neutral / bearish Sources fetched automatically: SEC EDGAR 8-K filings, Yahoo Finance earnings news, Motley Fool transcripts. If no transcript can be retrieved from any source, returns status:'failed' with an explicit warning and empty signals — never fabricated data. Accepts transcript_text override for direct analysis. Supports multilingual transcripts (de/fr/es/zh). European tickers (SAP.DE, BMW.DE) mapped to EDGAR-compatible equivalents automatically. It is categorised as a Read tool in the Mcp Knowledge MCP Server, which means it retrieves data without modifying state.
earnings_transcript_signals accepts 5 parameters: lang, async, quarter, transcript_text, company_or_ticker. Required: company_or_ticker. The full parameter table on this page comes from the server's own tool schema.
Register the Mcp Knowledge MCP server in PolicyLayer and add a rule for earnings_transcript_signals: allow, deny, rate-limit, or require approval. Point your MCP client at the PolicyLayer proxy URL and the rule is enforced on every call, before it reaches Mcp Knowledge. Nothing to install.
earnings_transcript_signals is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the earnings_transcript_signals rule in your PolicyLayer policy. For example, setting max: 10 and window: 60 limits the tool to 10 calls per minute. Rate limits are tracked per agent session and reset automatically.
Set action: deny in the PolicyLayer policy for earnings_transcript_signals. The AI agent will receive a policy violation error and cannot call the tool. You can also include a reason field to explain why the tool is blocked.
earnings_transcript_signals is provided by the Mcp Knowledge MCP server (https://mcp.gapup.io). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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