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20 focused API tools for AI agents: schema generation, text extraction, token counting, regex/cron building, prompt optimization, web summarization, document co
20 focused API tools for AI agents: schema generation, text extraction, token counting, regex/cron building, prompt optimization, web summarization, document comparison, and more. TypeScript SDK + LangChain wrappers included.
Stock research tools for AI agents. Live financial data + Claude-synthesized analysis, served as 7 focused tools — not raw OHLCV. Plus 20 utility tools for the rest of an agent's work.
Production API: https://www.agenttoolbelt.live
# Get a free API key (1,000 calls/month, no credit card)
curl -X POST 'https://www.agenttoolbelt.live/api/clients/register' \
-H "Content-Type: application/json" \
-d '{"email": "[email protected]"}'
# Generate a Motley Fool-style investment thesis for any ticker
curl -X POST https://www.agenttoolbelt.live/api/tools/stock-thesis \
-H "Authorization: Bearer atb_YOUR_KEY" \
-H "Content-Type: application/json" \
-d '{"ticker": "NVDA", "timeHorizon": "3-5 years"}'
Returns: bullish/neutral/bearish verdict, thesis paragraphs, key strengths, key risks, valuation read, insider read, analyst consensus read, and what to watch in the next earnings report.
LLM-synthesized analysis on top of live financial data from Polygon.io, Finnhub, and Financial Modeling Prep.
| Tool | What it does | Price |
|---|---|---|
stock-thesis |
Full Motley Fool-style investment thesis: verdict + thesis paragraphs + strengths + risks + valuation read | $0.05/call |
earnings-analysis |
EPS beat/miss history, revenue trend, long-term earnings consistency read, upcoming earnings date | $0.05/call |
insider-signal |
Form 4 interpretation — distinguishes meaningful open-market purchases from routine sales/awards. Signal strength + confidence | $0.05/call |
valuation-snapshot |
P/E, P/S, EV/EBITDA, FCF yield, ROE, margins → cheap/fair/expensive verdict + specific buy zone | $0.05/call |
bear-vs-bull |
Steelmanned 3-bull / 3-bear case with specific data, net verdict, key debate question | $0.05/call |
compare-stocks |
Head-to-head comparison of 2-3 tickers. Winner + per-ticker strengths/concerns + ifYouValue map (growth / value / quality) | $0.05/call |
moat-analysis |
Buffett-style competitive moat assessment (brand / switching costs / network / scale / IP / cost). Wide/narrow/none + durability | $0.05/call |
Every stock tool returns a dataSources block with fetchedAt + per-source success flags so you know exactly what data backed the analysis.
Common agent infrastructure. Rule-based tools billed at $0.0001–$0.001/call; LLM-powered tools at $0.005–$0.10/call.
| Tool | What it does | Price |
|---|---|---|
text-extractor |
Extract emails, URLs, phones, dates, currencies, addresses, names from text | $0.0005/call |
token-counter |
Count tokens across 15 LLM models with cost estimates | $0.0001/call |
schema-generator |
JSON Schema / TypeScript / Zod validator from plain English | $0.001/call |
csv-to-json |
CSV to typed JSON with auto delimiter and type casting | $0.0005/call |
markdown-converter |
HTML ↔ Markdown conversion | $0.0005/call |
url-metadata |
Title, OG tags, favicon, author from any URL | $0.001/call |
web-summarizer |
Fetch + summarize a URL with key points | $0.02/call |
regex-builder |
Natural language → regex with JS/Python/TS snippets | $0.0005/call |
cron-builder |
Schedule description → cron expression with next-run preview | $0.0005/call |
address-normalizer |
US address → USPS format with component parsing | $0.0005/call |
color-palette |
Color palettes with WCAG scores and CSS vars | $0.0005/call |
brand-kit |
Full brand kit — colors, typography, CSS/Tailwind tokens | $0.001/call |
image-metadata-stripper |
Strip EXIF/GPS/IPTC/XMP metadata for privacy | $0.001/call |
meeting-action-items |
Action items, decisions, summary from meeting notes | $0.05/call |
prompt-optimizer |
Score and rewrite LLM prompts | $0.05/call |
document-comparator |
Semantic diff between two document versions | $0.05/call |
contract-clause-extractor |
Key clauses + risk flags from contracts | $0.10/call |
api-response-mocker |
Realistic mock data from a JSON Schema | $0.0005/call |
dependency-auditor |
CVE scan for npm/PyPI packages via OSV database | $0.005/call |
context-window-packer |
Pack content into a token budget for LLM context | $0.001/call |
You wired up the tools. Once the agent is running, though, you have no visibility into which ones it calls or what it passes to them. I also built Cordon for this. It sits in front of any MCP server and logs every call. You can write rules to block the ones you don't want touching production.
getcordon.com — npx @getcordon/cli init
npm install agent-toolbelt
import { AgentToolbelt } from "agent-toolbelt";
const client = new AgentToolbelt({ apiKey: process.env.AGENT_TOOLBELT_KEY! });
// Stock research
const thesis = await client.stockThesis({ ticker: "NVDA", timeHorizon: "3-5 years" });
const moat = await client.moatAnalysis({ ticker: "AAPL" });
const compare = await client.compareStocks({ tickers: ["NVDA", "AMD"] });
// Utility
const tokens = await client.tokenCounter({ text: myDocument });
const contacts = await client.textExtractor({
text: emailBody,
extractors: ["emails", "phone_numbers", "addresses"],
});
import { AgentToolbelt } from "agent-toolbelt";
import { createLangChainTools } from "agent-toolbelt/langchain";
import { createReactAgent } from "@langchain/langgraph/prebuilt";
import { ChatOpenAI } from "@langchain/openai";
const client = new AgentToolbelt({ apiKey: process.env.AGENT_TOOLBELT_KEY! });
const tools = createLangChainTools(client); // 27 ready-to-use DynamicStructuredTools
const agent = createReactAgent({
llm: new ChatOpenAI({ model: "gpt-4o" }),
tools,
});
Use the stock research tools (and the rest of the toolbelt) directly inside Claude Desktop or Claude Code via the agent-toolbelt-mcp package.
Claude Desktop — add to claude_desktop_config.json:
{
"mcpServers": {
"agent-toolbelt": {
"command": "npx",
"args": ["-y", "agent-toolbelt-mcp"],
"env": {
"AGENT_TOOLBELT_KEY": "atb_your_key_here"
}
}
}
}
Claude Code — one command:
claude mcp add agent-toolbelt -e AGENT_TOOLBELT_KEY=atb_your_key_here -- npx -y agent-toolbelt-mcp
Once installed, ask Claude things like "Give me a full analysis of NVDA — thesis, earnings quality, insider activity, and whether it's cheap right now" and it'll call the tools in parallel.
Agents can auto-discover all 27 tools at runtime:
curl https://www.agenttoolbelt.live/api/tools/catalog
| Tier | Price | Monthly calls | Rate limit |
|---|---|---|---|
| Free | $0/mo | 1,000 | 10/min |
| PAYG | prepaid credits | unlimited | 60/min |
| Starter | $29/mo | 50,000 | 60/min |
| Pro | $99/mo | 500,000 | 300/min |
| Enterprise | Custom | 5,000,000 | 1,000/min |
npm install agent-toolbelt — typed client + LangChain toolsnpx -y agent-toolbelt-mcp — works with Claude Desktop and Claude Code/openapi/openapi-gpt-actions.jsonWhen the agent moves out of dev, a new set of questions shows up. What did it call last night? What arguments did it pass? Who approved the destructive one?
Cordon is an MCP gateway that sits in front of servers like this one. Point your client at Cordon instead of directly at Agent Toolbelt; Cordon forwards every call through and adds:
From the agent's perspective nothing changes — same tools, same schemas. Free tier covers 1,000 events/month.
MIT
Выполни в терминале:
claude mcp add marras0914-agent-toolbelt -- npx Web content fetching and conversion for efficient LLM usage.
Retrieval from AWS Knowledge Base using Bedrock Agent Runtime.
автор: modelcontextprotocolProvides auto-configuration for setting up an MCP server in Spring Boot applications.
A very streamlined mcp client that supports calling and monitoring stdio/sse/streamableHttp, and can also view request responses through the /logs page. It also
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