See company insiders’ public stock-buying and selling history

Explore dated public reports of company insiders, such as company leaders, buying and selling shares. The figures can help your AI explain the insider buy/sell ratio—how reported buying compares with selling—without asking for a company name or stock code.

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View instructions

Look up the available history with the connected Toolmu service; do not ask the user for a company name or stock code. Explain the first and last dates returned. Keep the number of buy and sale reports separate from the dollar amounts the source labels as net buying and net selling. Use each figure’s date when comparing it with the S&P 500, Dow, or Nasdaq. If you calculate an insider buy/sell ratio, state which figures you compared and how you handled zero or missing values. The matching SECForm4 public page labels its chart data as six months delayed; mention the last date returned and do not imply this delay is confirmed for every way of accessing the data. This history combines reports across the market; do not attribute it to one company or present it as a forecast.

Task:
[Show me the public history of company insiders buying and selling shares. Tell me which dates are covered, summarize buy and sale report counts and amounts for the latest month available, and explain how you compare buying with selling.]

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Connection guide

Up to 0.012 credits / call

The final charge is based on confirmed usage. Unused reserved credits return to your available balance.

SECForm4

See company insiders’ public stock-buying and selling history

You receive

Receive dated buy and sale filing counts, plus the source’s net-buy and net-sell dollar-amount series. Historical SP500, DOW and NASDAQ index series and their labels provide market context. Your Agent can organize the data into a table or calculate ratios from the corresponding buy/sell values. Activity and index data have separate date arrays, so comparisons should use the dates returned with each group.

Start with your task

[Show me the public history of company insiders buying and selling shares. Tell me which dates are covered, summarize buy and sale report counts and amounts for the latest month available, and explain how you compare buying with selling.]

What to know

SECForm4’s public ratio page says its data are delayed by six months. Check the last returned date before treating the series as recent. The output contains the components for analysis rather than finished chart curves, and aggregate history does not establish a company’s activity or predict market performance.

Inputs & outputs

Inspect the current inputs, availability, and maximum charge before starting.

Input schema

Input schema
Field / Path	Type	Requirement	Meaning
Optional query object`queryParams`	`object`	Optional	No input is required for the documented direct request. This optional object has no named ticker, CIK, period or index-selector fields in the current contract.

View raw JSON

{
  "type": "object",
  "required": [],
  "properties": {
    "queryParams": {
      "type": "object",
      "properties": {},
      "additionalProperties": true
    }
  },
  "additionalProperties": false
}

Result schema

No fixed output contract is available. Field types reflect saved result evidence; individual responses can differ.

Result schema
Field / Path	Type	Meaning
Insider activity components`result.data.buySells`	`object`	Source daily filing-count and net-amount series, paired with this group’s date array. The Tool does not return the source’s calculated ratio or moving-average curves.
Activity dates`result.data.buySells.date`	`array`	Source date strings associated with entries in the buy/sell component arrays. Preserve these dates; a timezone and shared calendar with market indexes are not specified by the Tool contract.
Buy filing counts`result.data.buySells.0`	`array`	Daily buy filing-count series used by the matching source chart. Pair an entry with the activity date at the same position; it is a filing count, not shares or money.
Sale filing counts`result.data.buySells.1`	`array`	Daily sale filing-count series paired with the buy counts and activity dates. The source’s count-based ratio uses buy count divided by sale count, with separate chart handling for zero values.
Source net-buy amounts`result.data.buySells.2`	`array`	Daily net-buy amount series used in the source’s dollar-amount ratio chart. Values can be numeric strings; preserve their scale and precision. The source does not explain the complete netting method.
Source net-sell amounts`result.data.buySells.3`	`array`	Daily net-sell amounts paired with source net-buy amounts. Use the activity dates for context and retain the source numbers before any calculation or formatting.
Market-index series`result.data.marketIndex`	`object`	Source index levels with their own date array. The matching source associates series0/1/2 with the index-name labels at positions0/1/2. These are index levels, not returns.
Index observation dates`result.data.marketIndex.date`	`array`	Date labels belonging to the market-index group. Use them to match dates with activity observations; do not join the two groups by an assumed shared array position.
SP500 source index levels`result.data.marketIndex.0`	`array`	Source SP500 level series, identified by the corresponding marketIndexName label. Entries can be numeric strings and use this group’s index dates.
DOW source index levels`result.data.marketIndex.1`	`array`	Source DOW level series, identified by the corresponding marketIndexName label. Entries can be numeric strings and use this group’s index dates.
NASDAQ source index levels`result.data.marketIndex.2`	`array`	Source NASDAQ level series, identified by the corresponding marketIndexName label. Entries can be numeric strings and use this group’s index dates.
Market-index names`result.data.marketIndexName`	`array`	Source labels for the numbered index series. The observed labels are SP500, DOW and NASDAQ; preserve the returned order and wording.

Additional notes

What the figures show

The SECForm4 public page presents two comparisons: the number of buy and sale reports, and the dollar amounts it labels as net buying and net selling. An insider buy/sell ratio compares buying with selling; the two comparisons use different figures.

This tool returns the dated figures behind those comparisons, rather than a finished ratio or chart. Your AI can put the figures in a table or calculate a ratio if you ask. It should explain which numbers and dates it used and keep the original figures visible. You can ask it to focus on a period, but the tool itself does not limit the history to that period.

Questions about this tool.

Inputs, results and details to know before running it.

Get connected

Not exactly. The public page may smooth its chart and handle zero values in a special way. If your AI calculates a ratio, ask it to show which figures it compared and how it handled days with no reported activity. Treat that as its own calculation, not an exact copy of the public chart.

See company insiders’ public stock-buying and selling history

See company insiders’ public stock-buying and selling history

You receive

Start with your task

What to know

Inputs & outputs

Input schema

Result schema

What the figures show

Connect your AI assistant

Ask to review the history

Make sense of the figures

Questions about this tool.

You receive

Start with your task

What to know

Inputs & outputs

Input schema

Result schema

What the figures show

Connect your AI assistant

Ask to review the history

Make sense of the figures

Questions about this tool.

Will my calculated ratio match the SECForm4 chart?

How should I compare insider reports with market figures?