AI Macro Data

Official FX Macro Data for AI Agents

Connect AI assistants to FXMacroData when they need official-source macro releases, release timestamps, source metadata, FX rates, COT positioning, commodities, and market-session context.

Open Custom GPT Connect MCP Server

Example Prompt

Prompt: Get the latest USD CPI release, show when the value was published, compare it with EUR/USD context, and cite the FXMacroData endpoint.

Data Checks

{
  "source": "FXMacroData",
  "tool": "indicator_query",
  "currency": "USD",
  "indicator": "inflation",
  "checks": [
    "latest observation date",
    "announcement_datetime",
    "source metadata",
    "endpoint path"
  ],
  "next_step": "Review EUR/USD around the release window"
}

Agent Workflow

01 / Ask

Start with a macro question

A user asks ChatGPT, Claude, Cursor, Codex, or another agent for CPI, policy-rate, calendar, COT, FX, or release-risk context.

02 / Fetch

Call FXMacroData tools

The agent uses Custom GPT instructions, MCP tools, OpenAPI, or REST endpoints instead of relying on stale model memory.

03 / Verify

Check timing and provenance

Responses expose release-aware fields such as announcement_datetime, source metadata, freshness, and point-in-time safety.

04 / Reuse

Move into code or dashboards

The same record can power notes, dashboards, notebooks, alerts, widgets, exports, and backtests.

Connection Paths

Fastest

Custom GPT

Best for non-code ChatGPT users who want conversational FX macro research with FXMacroData routing.

Agents

MCP Server

Best for Claude, Cursor, Codex, VS Code, and other MCP hosts that need live tools inside an assistant.

Install

Agent Install Pack

Best for choosing between hosted MCP, the Custom GPT, Codex plugin package, prompts, and LLM-readable catalogs.

Builders

OpenAPI Schema

Best for generated clients, ChatGPT Actions, contract checks, and agent tooling that wants a machine-readable API surface.

Production

REST API

Best for notebooks, jobs, dashboards, alerts, and application code that needs deterministic JSON responses.

Retrieval

LLM-Readable Docs

Best for crawlers and retrieval systems that need llms.txt, agent manifests, prompt catalogs, and the AI surface index.

Fields Agents Can Verify

announcement_datetime

Release-aware timestamps let agents avoid lookahead mistakes in event studies, post-release notes, and backtests.

source_type / source_name

Provenance fields help assistants distinguish official data, derived records, proxies, and fallback context.

mcp_metadata

MCP responses carry compact freshness, coverage, pagination, and source metadata for safer agent answers.

api_key=YOUR_API_KEY

Public examples stay copyable, and protected examples use query-parameter auth for agent and documentation workflows.

FXMacroData gives AI tools the same production macro records used by the API, dashboards, widgets, exports, and research workflows.

Macro agent demo

Ask for a macro briefing and let the tools do the data work

A useful AI workflow should fetch data, verify timing, and return a source-linked research brief. FXMacroData exposes each step as a callable surface instead of relying on model memory.

Example request

Build a EUR/USD pre-CPI briefing with the latest USD inflation row, next release date, FX trend, and COT context.

Discover

Find valid fields

The assistant checks available currencies, indicators, and endpoint paths before choosing a data call.

Fetch

Use live tools

MCP or REST retrieves the relevant release row, calendar event, FX spot context, and supporting market data.

Verify

Preserve timing

The result keeps announcement_datetime, freshness metadata, and source context visible for review.

Reuse

Move into workflow

The same source-linked rows can power a note, dashboard, notebook, alert, or backtest.

Use Cases

Give an AI agent official-source CPI, GDP, policy-rate, labor, trade, COT, commodities, FX spot, and release-calendar context.
Build release-aware research workflows where every answer can point back to a dashboard, API doc, MCP tool, or endpoint.
Move from a conversational prompt into reproducible REST, Python, dashboard, widget, or export workflows.

Why FXMacroData

Agents can enter through the Custom GPT, MCP server, OpenAPI schema, REST API, prompt library, or dashboard links.
Responses include metadata for freshness, provenance, coverage, pagination, and release timing.
The same release-aware records support AI answers, dashboard inspection, notebooks, alerts, exports, and backtests.

Related Resources

Frequently Asked Questions

What is the fastest FXMacroData entry point for ChatGPT users?

Use the Forex Macro Research FXMacroData Custom GPT for conversational macro research in ChatGPT, then follow links into the relevant endpoint, dashboard, or article.

Which integration path works best for developers?

Use the MCP server for live tool calls, the OpenAPI schema for generated clients or Actions-style integrations, and the REST API for production jobs and notebooks.

Why does release timing matter for AI macro research?

AI assistants can write plausible analysis from stale or future-looking context. Release timestamps and source metadata tell the assistant when a value became market-visible and whether the data is suitable for backtests or event analysis.