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Insider Trading Tracker

insider-trading-tracker
Read-only

Track insider stock trades — SEC Form 3/4/5 filings — for any list of tickers. Official SEC EDGAR data, free, no API key or login. Get filing counts, an at-a-glance activity signal (none/low/high) and direct document links per company. — $0.01/call, x402 (USDC on base).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
tickersYesStock tickers to check for recent insider trading activity (e.g. `AAPL`, `TSLA`, `NVDA`). One row per ticker.
sinceDaysNoOnly include insider filings (Form 3, 4 or 5) from the last N days.
maxConcurrencyNoHow many tickers to process in parallel. SEC EDGAR's documented rate limit is 10 requests/second — keep this at or below 10.

TDQS

A3.9/5.0
Behavior4/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already declare readOnlyHint=true and destructiveHint=false; the description adds valuable context: it is free, requires no auth, uses official SEC EDGAR data, and costs $0.01/call. Rate limits are mentioned in the schema rather than the description.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single, information-dense sentence that front-loads the core purpose. Pricing and payment details are relevant for a paid tool, though the x402 payment method is slightly tangential.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

With no output schema, the description provides a concise summary of return values (filing counts, activity signal, document links per company). It covers the key aspects without needing to detail every field.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

All three parameters have full schema descriptions, so the schema carries the semantic load. The description adds no additional parameter-specific meaning beyond what the schema already provides.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

Description clearly states the tool tracks insider stock trades from SEC Form 3/4/5 filings for any list of tickers, and summarizes outputs. However, it does not explicitly differentiate from sibling tools like sec-edgar-watcher or thirteen-f-tracker.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description conveys the intended use case (tracking insider trades for a list of tickers) and mentions key features (free, no API key), but does not explicitly contrast with alternatives or state when not to use it.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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TDQS

B3.4/5.0
Disambiguation3/5

Many tools are distinct by region/source (e.g., otodom-warsaw vs. imovirtual-lisbon), but there are overlapping categories: multiple real estate, job, SEC, and crypto tools. Watchers/alerts (job-alert, re-new-listing-alert, tender-alert) could be confused with their corresponding search tools, and token tools (live-price-oracle, token-launch-radar, rug-pull-scorer) have similar purposes.

Naming Consistency2/5

Names follow no consistent pattern: some are hyphenated source-location (emlakjet-istanbul), some are generic descriptors (job-alert, pricing_info uses underscore), and some are verbose phrases (official-gazette-regulatory-action-router). There is no consistent verb_noun or noun structure, making it hard to predict what a tool does from its name.

Tool Count2/5

With 36 tools, the server is in the 'too many' range (25+). The broad 'Market Data' theme partially justifies the count, but it feels bloated with many single-country listings and overlapping watchers that could be consolidated.

Completeness3/5

The domain is loosely defined as 'market data,' spanning real estate, jobs, tenders, SEC filings, crypto, and clinical trials. While it covers niche areas well, there are notable gaps: no general stock/ETF quotes, no forex/commodities data, and no cross-country aggregate search. The mix of scrapers and alerts leaves the surface feeling uneven.

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