Stock research

Stock Deep Research MCP Tool for AI Agents

research-stock combines normalized company identity, business, financial health, valuation, requested technical timeframes, optional options risk, institutional activity, catalysts, and deterministic bull/bear evidence for one exact active US-listed operating company or ADR. It does not return a rating or recommendation.

MCP tool name
research-stock

Example prompt

Use Pineify research-stock for AAPL at compact detail on 1d. Separate business, financial, valuation, technical, options-risk, catalyst, and bull/bear evidence, and do not issue a rating.

Direct answer

What research-stock does

Use this workflow after choosing one known ticker. It accepts compact or standard detail and one or two supported technical timeframes in caller-specified order.

The response preserves section-level coverage, source times, latency labels, nulls, warnings, and partial status. A provider DCF value is a labeled reference rather than a Pineify target price.

Contract

What the agent sends and receives

Inputs

  • `symbol`: one exact bare ticker for an active US-listed general operating company or ADR.
  • `detail: "compact" | "standard"`: optional; standard is the default and controls description, activity, and event bounds.
  • `timeframes`: one or two unique values from `15m`, `1h`, `4h`, and `1d`; the default is `["4h", "1d"]` and order is preserved.

Structured output

  • `stock-deep-research-v1` structured content with `stock-deep-research-methodology-v1` and an informational-only marker.
  • Bounded business, financial health, valuation, technical, options-risk, activity, catalyst, and bull/bear evidence sections.
  • Coverage, timestamps, warnings, and partial state show missing or differently timed sources without exposing raw provider records.

Capabilities

Where this MCP tool fits

Combine company and financial facts

Returns exact identity, a bounded business description, TTM financial-health facts, valuation ratios, and one optional provider DCF reference.

Preserve requested technical order

Returns one independent canonical technical record for each requested 15m, 1h, 4h, or 1d timeframe without copying another timeframe.

Separate evidence domains

Keeps options risk, options flow, dark-pool activity, catalysts, and deterministic bull or bear evidence bounded and separately sourced.

Agent workflow

A bounded call from question to review

  1. 1

    Resolve one exact company

    Use a bare ticker such as AAPL. Do not send an exchange prefix, company name, ETF, fund, arbitrary query, or ticker list.

  2. 2

    Select bounded timeframes

    Request only the one or two canonical timeframes needed and retain their returned order.

  3. 3

    Audit evidence and coverage

    Keep each fact tied to its source time and threshold, and treat optional activity or DCF gaps as explicit limits.

Prompt examples

Questions an agent can route to this tool

"Use Pineify research-stock for AAPL at compact detail on 1d. Separate business, financial, valuation, technical, options-risk, catalyst, and bull/bear evidence, and do not issue a rating."
"Research MSFT at standard detail on 4h and 1d. Preserve coverage and source times, and label any provider DCF as a reference rather than a price target."

Operator notes

How I review the result

I compare bull and bear evidence as separate observed rules; I do not net the arrays into a score or recommendation.

I keep optional Massive and Whales sections partial when their data is missing rather than treating them as required company facts.

Boundaries to keep in the prompt

  • Coverage is limited to one exact active US-listed general operating company or ADR. The tool does not support funds, indexes, specialized financial structures, or arbitrary company search.
  • Options output uses IV, Greeks, open interest, and expected-move context; it does not promise real-time trades or quotes.
  • Catalysts contain bounded metadata, not article bodies, transcript text, or inferred management guidance.
  • The tool provides no rating, price forecast, trade action, or personalized recommendation.

Pineify MCP is an information and code-validation tool, not investment advice. It does not promise returns, place trades, or modify a portfolio. Review timestamps, source fields, code diagnostics, and risk assumptions before acting.

FAQ

Stock Deep Research MCP Tool for AI Agents questions

Add research-stock to your AI workflow

Connect one remote Pineify MCP endpoint, then let your compatible AI client discover this tool with the rest of the read-only catalog.

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