Skip to content
The Real Rate Index50.4+0.00Palanor: Liquidity72.4-0.50Palanor: Inflation Pulse50.6-1.21Palanor: Geopolitical Stress53.2+0.03Palanor: US vs China49.4-0.23Palanor: Industrial Pulse67.5+0.00Palanor: Capital Tightness29.4+0.82Palanor: Consumer Confidence58.1+1.99Palanor: US Dollar Strength45.6-0.05Palanor: US Jobs Health44.80.00Palanor: Uncertainty Index43.9-0.25Palanor: Energy Transition41.0+0.03Palanor: Steward Confidence67.3+0.05Palanor: AI Substitution27.0-1.13Palanor: Recession Vocabulary26.1-0.91Palanor: Quit Pressure64.7-2.82Palanor: Reshoring Sentiment31.3-0.82Palanor: Geopolitical Anxiety28.2-0.99Palanor: Labor Heat70.9-0.10Cost Disease Spread33.00.00The Palanor Index35.0+0.48Rise of Socialism Index40.2-1.02The Mania Index88.60.00The Bubble Memory80.1-0.00The Long Watch90.30.00The Reshoring Index54.8+0.00The Hesitation Index30.0+0.20The Capital Return Index79.6-0.28The Discourse Index75.6-0.31Palanor AI Inference Cost Index74.3-0.08The Layoff Cycle Index35.3+0.04The AI Capex Race Index82.9-0.29The Boardroom Index87.8-0.20The Social Fabric Index44.90.00The Consumer Health Index40.6-0.13Capital Deployment Posture Index72.5-0.20Palanor: AI Margin Compression56.2+0.08Labor Hours Composite44.40.00Palanor: Risk Appetite58.4+0.42The Dollar Erosion Index67.1+0.18
PalanorPalanor

Palanor and Trading Economics

Trading Economics publishes economic indicators, market data and forecasts for 196 countries. Palanor reads fewer series, deepest on the United States, and records the source and license of each one, then builds Custom Indices, Schemas and Currents on top. This page sets out where the two overlap and how to use both.

Trading Economics’s facts from its own pages, read 2026-09-25 · Palanor’s counts read live

What they do

Trading Economics

  • Trading Economics “provides its users with accurate information for 196 countries including historical data and forecasts for more than 20 million economic indicators, exchange rates, stock market indexes, government bond yields and commodity prices.”[1]
  • Its data “is based on official sources, not third party data providers”, and each indicator page names its source, for example the U.S. Bureau of Labor Statistics for U.S. inflation.[1][6]
  • Forecasts “are built using a proprietary global macro model that takes into account our analysts’ expectations, correlations between countries, and a set of logical relationships between different indicators.”[4]
  • Access through the website, a REST API with Python and Node.js packages, an Excel add-in and an MCP server that exposes “economic indicators, market prices, forecasts, calendar events, and company financials”.[3][5]
  • Published plans start at $29.99 a month (Basic, without API access). API plans are $199 a month (Standard) and $399 a month (Professional); Enterprise is “customized and priced to your needs” and can “redistribute data to your clients and partners under enterprise licensing.”[3]

What Palanor does

Palanor

  • 4,600+ public signals across macro, rates, labor, energy, climate, geopolitics and positioning, read from primary publishers such as the U.S. Treasury, BLS, BEA, EIA, CFTC, SEC, the World Bank and the OECD. Signals catalog →
  • A provenance ledger of 129 upstream sources, 71 of which may be redistributed. The API and MCP serve a series only when its license allows it. Provenance →
  • 40 Custom Indices with published components and weights, plus Schema readings and Currents built on the same series. Custom Indices →
  • Company data refined from SEC filings for the S&P 500 (guidance, risk factors, ownership, insiders), in the same schema and under the same key. Refined datasets →

Where we overlap

The same ground, covered differently.

Economic indicators
Trading EconomicsMore than 20 million indicators for 196 countries[1]
Palanor4,600+ signals, deepest on the United States, with World Bank and OECD series for other economies Signals →
Sources
Trading EconomicsOfficial sources, named on each indicator[1][6]
PalanorSource, publisher, license class and attribution in every API response Provenance →
Forecasts
Trading EconomicsA proprietary global macro model with analysts’ expectations[4]
PalanorForesight projections inside the platform; not in the API
API and agents
Trading EconomicsREST API, Python and Node.js packages, MCP server[2][5]
PalanorREST API and Palanor MCP, one key Palanor MCP →
Entry price for API access
Trading Economics$199 a month (Standard)[3]
PalanorFree key, 1,000 requests a month; Pro $200 / mo API tiers →

What each does that the other doesn’t

Only Trading Economics

  • Breadth: 196 countries and more than 20 million indicators[1]
  • Market quotes for currencies, bonds, commodities and stock indexes[1]
  • Indicator forecasts through the API[2][4]
  • An economic calendar, and redistribution or white-label display under enterprise licensing[3]

Only Palanor

When to choose which

And how to use both.

Choose Trading Economics when

  • You need a number for almost any country, quickly.
  • You want a published forecast for an indicator, or market quotes and a calendar in the same place.

Choose Palanor when

  • You need to know what U.S. series mean together, through indices and readings whose method is published.
  • You need the license of every number you pass on, checked before it is served.
  • You want macro and company filings in one schema, under one key.

Use both

  • Take cross-country breadth and forecasts from Trading Economics. Use Palanor for provenance-checked series and the derived reads built on them.
  • Set a Trading Economics forecast beside the Palanor series and indices that bear on it.

Questions

Is there a free alternative to the Trading Economics API?
Palanor’s API has a free tier of 1,000 requests a month, values included, for its redistributable series, Custom Indices and Currents. It covers far fewer countries than Trading Economics. Many primary publishers, including BLS, BEA, EIA and the World Bank, also run free APIs.
Where does Trading Economics get its data?
Trading Economics says its indicator data “is based on official sources, not third party data providers”, and each indicator page names its source.
How are Trading Economics forecasts made?
Its documentation says they come from a proprietary global macro model that takes into account its analysts’ expectations, correlations between countries and relationships between indicators.
How does Palanor show where a number came from?
Every signal in an API or MCP response carries a provenance block naming the source, the publisher, the license class and the attribution owed. The API serves a signal only when its source may be redistributed.

Sources

  1. [1] Trading Economics, About. https://tradingeconomics.com/about-te.aspx As of 2026-09-25.
  2. [2] Trading Economics, API. https://tradingeconomics.com/api/ As of 2026-09-25.
  3. [3] Trading Economics, API pricing (plan data in pricing-data.js). https://tradingeconomics.com/api/pricing.aspx As of 2026-09-25.
  4. [4] Trading Economics, Indicator forecasts. https://docs.tradingeconomics.com/forecasts/indicators/ As of 2026-09-25.
  5. [5] Trading Economics, MCP server. https://docs.tradingeconomics.com/mcp/ As of 2026-09-25.
  6. [6] Trading Economics, United States inflation rate (indicator page). https://tradingeconomics.com/united-states/inflation-cpi As of 2026-09-25.

Facts about Trading Economics are quoted or summarised from its own public pages on the date shown. If something has changed, write to hello@palanor.com and we will correct it.

Palanor Data

The series, indices and refined datasets on this page are served over MCP and REST with one key. Palanor Data · Palanor MCP · REST API