Available ActionsEach successful request consumes credits as outlined below.
query_financial_data20cr
Details
Explore financial inclusion and banking data for any country in the world. Look up bank account ownership rates, credit access, gender gaps in financial services, stock market capitalization, and remittance flows. Compare how countries stack up on financial access, track progress toward universal banking, and identify where financial gaps remain — all from a comprehensive global data set.
Use Cases
Research bank account ownership rates by country, Compare financial inclusion across regions, Analyze credit access and lending conditions, Study gender gaps in financial services, Track stock market capitalization trends, Monitor remittance flows between countries, Assess progress toward universal financial access, Benchmark banking sector development, Support financial policy research, Evaluate Global Findex indicators and SDG 8 alignment
Dynamic MCP Setup
Connect once through AgentPMT Dynamic MCP, then use approved tools from the same agent connection.
30 Second Setup
STDIO connector for Claude Code, Codex, Cursor, Zed, and other LLMs that require STDIO or custom connections.
npm install -g @agentpmt/mcp-routeragentpmt-setup
Hosted Streamable HTTPS
MCP endpoint for browser-based apps like ChatGPT, Claude, Grok, or any time you want a streamable connection with no local install.
https://api.agentpmt.com/mcp
Config Example
Use the hosted endpoint directly in clients that support remote MCP. Store your Bearer token in the client config or secret field.
Fetch financial sector indicators for a country or region, including bank account ownership, credit access, financial inclusion gender gaps, stock market data, remittances, and mobile money adoption with global comparisons.
Fetch financial sector indicators for a country or region, including bank account ownership, credit access, financial inclusion gender gaps, stock market data, remittances, and mobile money adoption with global comparisons.
country_or_regionstring
Country name or ISO3 code (e.g., 'United States', 'India', 'World'). Defaults to 'World' if not provided.
Default: World
financial_aspectstring
Financial category: 'banking', 'credit', 'inclusion', 'markets', 'remittances', or 'all'
Values:
bankingcreditinclusionmarketsremittancesall
Default: all
calculate_gender_gapsboolean
Calculate gender disparities in financial inclusion (male/female account ownership gap). Applies when aspect is 'inclusion', 'all', or not specified.
Default: true
time_periodstring
Time period: 'latest' for most recent 10 years, single year 'YYYY', or range 'YYYY:YYYY'
Default: latest
include_targetsboolean
Include Global Findex targets (Universal Financial Access 2030) and SDG alignment (SDG 1, 5, 8.10, 10) in response
Login to view your API and budget keys. The example above uses placeholder values. Sign in to see personalized code with your bearer token.
Autonomous agents can access this tool through AgentAddress credit balances or direct x402 payments. Use the Autonomous Agent API reference for endpoint shapes after choosing the access pattern below.
Recommended
Credit-Based Access Using AgentAddress
AgentAddress is preferred when an autonomous agent needs persistent file access, stored platform state, or maximum tool use ability across repeated calls.
Use direct x402 for independent one-off tool calls that do not require shared files or stored platform state.
Accepted public payments
Stablecoin
USDC
Chains
Base, Arbitrum, Optimism, Polygon, and Avalanche
Direct x402 payments are not enabled for this product; use AgentAddress credit access instead.
Usage Instructions
Usage guidance provided directly by the developer for this product.
Financial Sector & Banking Data
Access comprehensive World Bank financial indicators including bank account ownership, credit access, financial inclusion metrics, stock market data, remittances, and mobile money adoption through a natural language query interface with gender gap analysis and global comparisons.
Overview
This tool provides natural language access to World Bank financial sector data covering financial inclusion (Global Findex), banking infrastructure, credit and lending rates, stock markets, remittances, and mobile money adoption. It supports automatic gender gap calculations, global average comparisons, and SDG alignment tracking (SDG 1, 5, 8.10, 10).
Data is sourced from the World Bank Data API including the Global Findex Database, Financial Sector Indicators, International Debt Statistics, and World Development Indicators.
Actions
query_financial_data
Query financial sector indicators for any country or region.
Required Parameters
action (string): Must be "query_financial_data"
Optional Parameters
country_or_region (string, default: "World"): Country name or ISO3 code
Country names: "United States", "India", "Kenya", "Nigeria"
ISO3 codes: "USA", "IND", "KEN"
Global: "World"
If not provided, defaults to World (WLD) data
Maximum 100 characters
financial_aspect (string, default: "all"): Financial category to query
"banking" - Account ownership, bank branches per 100k adults, ATM density, bank deposit ratios
"remittances" - Remittances received (% GDP and USD), remittances sent (USD)
"all" - All financial indicators (19 indicators)
If an unrecognized value is provided, defaults to all indicators
calculate_gender_gaps (boolean, default: true): Calculate gender disparities in financial inclusion. Returns male/female values, gap in percentage points, relative gap percentage, and status (male advantage/female advantage/equal). Only applies when financial_aspect is "inclusion", "all", or null.
time_period (string, default: "latest"): Time period for data retrieval
"latest" - Fetches the last 10 years and returns the most recent non-null value
"YYYY" - Single specific year (e.g., "2021"), must be between 1960 and current year
"YYYY:YYYY" - Year range (e.g., "2017:2021"), both years must be between 1960 and current year
include_targets (boolean, default: true): Include Global Findex targets (Universal Financial Access by 2030, 80% account ownership target, gender gap elimination) and SDG alignment information (SDG 1, 5, 8.10, 10) in the response
value: The numeric value (null if no data available)
date: Year of the data point
country: Country name from API
indicator: Full indicator description
unit: Unit of measurement
global_comparison (for non-World queries): global_average, difference_absolute, difference_pct, comparison ("above global average"/"below global average")
error: Error message if data fetch failed
gender_gap_analysis (when calculate_gender_gaps is true and inclusion data available): male_value, female_value, gap_percentage_points, gap_relative_pct, status
financial_access_gap (when account_ownership data available): population_with_accounts_pct, population_without_accounts_pct, progress_to_universal_access_pct
mobile_money_insight (when mobile money data available): mobile_money_adoption_pct with significance note
global_findex_targets (when include_targets is true): Universal Financial Access by 2030 target, 80% account ownership target, gender gap elimination target
sdg_alignment (when include_targets is true): SDG 1, 5, 8.10, and 10 alignment descriptions
Financial Inclusion Assessment: Query financial_aspect: "inclusion" with calculate_gender_gaps: true to get account ownership rates, gender disparities, mobile money adoption, and financial access gaps
Banking Sector Analysis: Query financial_aspect: "banking" to assess bank branch density, ATM availability, and compare against global averages
Credit Market Research: Query financial_aspect: "credit" to analyze lending rates, domestic credit levels, and borrowing access
Remittance Economy Analysis: Query financial_aspect: "remittances" for countries with significant diaspora to understand remittance flows as percentage of GDP
SDG Progress Tracking: Query financial_aspect: "all" with include_targets: true to track progress toward Universal Financial Access 2030 targets
Notes
Financial inclusion data (Global Findex) is updated every 3 years via surveys; most recent data is from 2021
Banking infrastructure data is updated annually
Stock market data is updated monthly/annually
Gender-disaggregated data availability varies by country
Mobile money data is particularly relevant for Sub-Saharan Africa and South Asia
Some indicators may not be available for all countries or time periods
When time_period is "latest", the tool fetches the last 10 years and returns the most recent non-null value
Global comparisons are automatically included for non-World queries when indicator data is available
The tool fetches all requested indicators concurrently for performance
If no data is available for any indicator, the response returns success: false with a message
Country names longer than 100 characters are rejected
Unrecognized country names raise a ValueError with guidance on accepted formats
The summary section shows data availability percentage to help assess data completeness
Pricing
$0.05 per request
Frequently Asked Questions
How do I connect this tool to an external agent?
You can install the local MCP server by opening a terminal and running:
After the external agent is connected to an Agent Group that can use this tool, paste this prompt into the agent:
Agent prompt
Use the AgentPMT-Tool-Search-and-Execution tool. First call action 'get_instructions' so you know how to use the tool search interface. Then call action 'get_schema' with tool_id 6980e1d571cad8f61bf5b206 ("Global Financial Inclusion & Banking Data"). After reading the schema and any returned instructions, tell me what this tool can do, we are going to be using it
The agent should fetch the tool schema first, collect the required parameters for your request, and then call the tool through AgentPMT.
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