MCP server

US Economic, SEC EDGAR & On-Chain Data (x402)

net.agentfund/us-economic-macro-sec-edgar-onchain-data

Checked 26 Oct 2026, 08:29 UTC · Connected to it and listed its tools

21 paid tools: US macro data, SEC EDGAR filings, on-chain EVM reads. Settled in USDC on Base.

Source

At a glance

Type

MCP server

Publisher

agentfund.net (verified by the MCP Registry)

Status

Working at last check

Tools

21

Token cost

About 10,648 tokens per request

Sets up in

Claude Code, Claude Desktop, Codex, Gemini CLI, Cursor, VS Code, Antigravity, ChatGPT, OpenAI API, Grok

Last checked

26 Oct 2026, 08:29 UTC

Connect it to your agent

Add to CursorAdd to VS CodeVS Code Insiders

Opens the app, which shows the server and asks you to confirm. For other apps, copy the setup below.

Claude Code

claude mcp add --transport http us-economic-macro-sec-edgar-onchain-data https://x402.agentfund.net/mcp

Claude Desktop

Settings → Connectors → Add custom connector, and paste the URL.

Codex (config.toml)

[mcp_servers.us-economic-macro-sec-edgar-onchain-data]
url = "https://x402.agentfund.net/mcp"

Gemini CLI

{"mcpServers":{"us-economic-macro-sec-edgar-onchain-data":{"httpUrl":"https://x402.agentfund.net/mcp"}}}

Cursor

{"mcpServers":{"us-economic-macro-sec-edgar-onchain-data":{"url":"https://x402.agentfund.net/mcp"}}}

VS Code

{"servers":{"us-economic-macro-sec-edgar-onchain-data":{"type":"http","url":"https://x402.agentfund.net/mcp"}}}

Antigravity

agy mcp add us-economic-macro-sec-edgar-onchain-data https://x402.agentfund.net/mcp

ChatGPT

Settings → Apps & Connectors → Advanced settings: turn on Developer mode, then Create a connector and paste the URL. Which plans can do this varies.

OpenAI API (Responses tools)

{"type":"mcp","server_label":"us-economic-macro-sec-edgar-onchain-data","server_url":"https://x402.agentfund.net/mcp","require_approval":"always"}

Grok (xAI API tools)

{"type":"mcp","server_label":"us-economic-macro-sec-edgar-onchain-data","server_url":"https://x402.agentfund.net/mcp"}

Tools

• bls_cpi ~336 tokens
  Latest U.S. CPI inflation from the Bureau of Labor Statistics, with the rates already computed. BLS publishes index levels, not inflation rates. This tool does the arithmetic: headline and core (all items less food and energy) CPI, each with year-over-year and month-over-month percent change. Year-
• edgar_13f_holdings ~556 tokens
  Institutional stock holdings for a fund manager, from its latest SEC Form 13F. 13F filings split the actual holdings into a separate "information table" XML document that the filing index does not point at directly; this locates it, parses every position, and rolls up lots reported separately (diff
• edgar_filings_feed ~601 tokens
  Recent SEC filings for a company, newest first, with 8-K item codes translated to plain English. A general-purpose filings feed: any form type, or a specific set (8-K for material events, 10-K/10-Q for periodic reports, S-1 for new-issue prospectuses, SC 13D/13G for activist and passive stakes). 8-
• edgar_financials ~633 tokens
  Key financials for a U.S. public company, pulled from SEC XBRL company facts. Returns revenue, net income, diluted EPS, total assets, total liabilities, shareholders' equity and cash, each with the most recent ANNUAL and QUARTERLY figure, the period covered, and the form it came from. Handles two
• edgar_full_text_search ~670 tokens
  Full-text search across all SEC EDGAR filings since 2001 for a keyword or phrase. Wraps EDGAR's own full-text search index, so it covers every filer and form type, not just a single company. Useful for finding who is disclosing a particular risk, technology, litigation, or event across the entire m
• edgar_insider_transactions ~741 tokens
  Insider buying and selling for a U.S. public company, parsed from SEC Form 4 filings. Form 4 is published as raw ownership XML, one document per filing, with the machine-readable file hidden behind an XSL-rendered URL. This resolves the ticker to a CIK, finds the most recent filings, fetches each X
• macro_energy ~324 tokens
  Latest U.S. energy market data from the Energy Information Administration: WTI crude price, crude oil inventories, and natural gas storage. Combines three EIA series that usually require separate lookups: the WTI Cushing spot price, weekly U.S. crude oil ending stocks (with week-over-week percent c
• macro_gdp ~353 tokens
  Latest U.S. real GDP growth rate, from BEA's National Income and Product Accounts. Returns the annualized quarter-over-quarter growth rate for the most recent quarter (the headline "how is the economy growing" number), plus the prior two quarters for trend context. BEA publishes this table as a per
• macro_housing ~340 tokens
  Latest U.S. new residential construction: housing starts and building permits, seasonally-adjusted annualized rate. Housing starts (ground broken) and permits (approved but not necessarily started, a leading indicator) are the two headline figures from the Census Bureau's New Residential Constructi
• macro_jobs ~366 tokens
  Latest U.S. labour-market data from the Bureau of Labor Statistics, with the headline changes computed. Returns the unemployment rate, labour force participation rate, total nonfarm payrolls, the month-over-month change in payrolls (the "jobs added" number that leads the Employment Situation report
• macro_pce ~332 tokens
  The Fed's preferred inflation gauge: Personal Consumption Expenditures (PCE) price index, headline and core. The Federal Reserve targets PCE inflation, not CPI, when setting policy. Returns the headline index and "PCE excluding food and energy" (the actual core measure the Fed watches), each with y
• macro_release_calendar ~476 tokens
  Upcoming U.S. economic data releases, with dates and times, from the official BLS news-release schedule. Answers "what macro data drops next, and when" without scraping a web page. Covers the BLS release set that moves markets: CPI, PPI, the Employment Situation (nonfarm payrolls and unemployment),
• macro_retail_sales ~297 tokens
  Latest U.S. retail sales, seasonally adjusted, excluding motor vehicles and parts — the "ex-autos" figure most commonly cited as a consumer-spending signal. Returns the seasonally-adjusted monthly sales total in millions of dollars, with month-over-month and year-over-year percent change computed f
• onchain_cross_chain_balances ~637 tokens
  The same token's balance for one address across multiple EVM chains, in a single call. USDC (and similar assets) has a DIFFERENT contract address on every chain; checking a wallet's total position means resolving each chain's canonical address and querying it separately. This does that and sums the
• onchain_gas ~456 tokens
  Current gas price across multiple EVM chains in a single call. Reads eth_gasPrice on every requested chain in parallel and returns gwei, so you do not have to query each chain's RPC separately and convert units yourself. Supported chains: base, ethereum, optimism, arbitrum, polygon. When to use:
• onchain_oracle_price ~520 tokens
  Read any Chainlink price feed directly on-chain — a named pair or a raw feed address. Calls latestRoundData on the feed contract itself, so there is no price-API vendor, no rate limit, and no key. Includes the feed's last-updated timestamp and its age in seconds, so you can judge staleness yourself
• onchain_portfolio ~553 tokens
  USD-valued portfolio for a wallet on Base, priced from Chainlink on-chain oracles. Reads the wallet's native ETH plus major ERC-20 balances, reads each asset's Chainlink USD aggregator directly on-chain, and returns holdings with per-asset prices and dollar values, sorted largest first, stamped wit
• onchain_token_balances ~650 tokens
  Read an ERC-20 token balance for up to 500 wallet addresses in a SINGLE call. Doing this yourself means issuing hundreds of eth_call requests, batching them, handling per-provider rate limits and partial failures, then scaling raw integers by token decimals. This does all of that and returns clean,
• structured_json_repair ~598 tokens
  Repair messy or invalid JSON (the kind LLMs and tools often emit) into clean, valid JSON, and optionally validate/coerce it against a JSON Schema. Pure deterministic compute — no network or model calls. What it fixes: trailing commas, single-quoted strings, unquoted keys, Python literals (None/True
• tabular_to_json ~785 tokens
  Convert messy tabular text into clean, typed JSON rows. Auto-detects CSV, TSV, or a Markdown table and returns one JSON object per row plus an inferred column/type summary. Pure deterministic compute — no network or model calls. What it handles: delimiter sniffing (comma/semicolon/tab/pipe), quoted
• treasury_yield_curve ~424 tokens
  Current and recent U.S. Treasury par yield curve rates, with the spreads traders actually watch already computed. Returns every published tenor (1 month through 30 years) for the latest business day, plus the 2s10s spread, the 3m10y spread, and an inversion flag. Source is the U.S. Treasury's offic

Browse

• Web scraping
• Website monitoring
• Spreadsheets
• Converting to Markdown

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