# Global Financial Inclusion & Banking Data ## Links - Product page URL: https://www.agentpmt.com/marketplace/financial-sector-banking - Product markdown URL: https://www.agentpmt.com/marketplace/financial-sector-banking?format=agent-md - Product JSON URL: https://www.agentpmt.com/marketplace/financial-sector-banking?format=agent-json ## Overview - Product ID: 6980e1d571cad8f61bf5b206 - Vendor: Apoth3osis - Type: function - Unit type: request - Price: 2000 credits - Categories: Data Science, Financial Data, Data Processing, Finance & Accounting, Academic & Scientific Research, Public Records & Government Data, Civic Data & Demographics - Generated at: 2026-05-21T08:23:39.004Z ### Page Description 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. ### Agent Description Query bank account ownership, credit access, financial inclusion gender gaps, stock market capitalization, and remittance flows for any country or region. Supports Global Findex indicators, gender gap calculations, SDG alignment, and time-series trends. ## Details ### 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. ### Actions - `query_financial_data` (20 credits): 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. ### 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 ### Workflows Using This Tool No public workflows currently reference this product. ### Related Content No related content is currently linked to this product. ## Integration Details ### DynamicMCP - Setup page URL: https://www.agentpmt.com/dynamic-mcp - Claude setup guide: https://www.agentpmt.com/dynamic-mcp?platform=claude#videos - ChatGPT setup guide: https://www.agentpmt.com/dynamic-mcp?platform=chatgpt#videos - Cursor setup guide: https://www.agentpmt.com/dynamic-mcp?platform=cursor#videos - Windsurf setup guide: https://www.agentpmt.com/dynamic-mcp?platform=windsurf#videos STDIO connector for Claude Code, Codex, Cursor, Zed, and other LLMs that require STDIO or custom connections. This lightweight connector routes requests to `https://api.agentpmt.com/mcp`. All tool execution happens in the cloud and the server cannot edit any files on your computer. ```bash npm install -g @agentpmt/mcp-router agentpmt-setup ``` ### REST API The live page renders cURL, Python, JavaScript, and Node.js examples. Logged-in users see those examples prefilled with their own API and budget credentials. - Purchase endpoint: https://api.agentpmt.com/products/purchase - Authorization format: `Bearer ` ```bash curl -X POST "https://api.agentpmt.com/products/purchase" \ -H "Content-Type: application/json" \ -H "Authorization: Bearer eW91ci1hcGkta2V5LWhlcmU6eW91ci1idWRnZXQta2V5LWhlcmU=" \ -d '{ "product_id": "6980e1d571cad8f61bf5b206", "parameters": { "action": "query_financial_data", "country_or_region": "World", "financial_aspect": "all", "calculate_gender_gaps": true, "time_period": "latest", "include_targets": true } }' ``` ### Autonomous Agents Do not use the abbreviated instructions in this product markdown for wallet-based invocation. Retrieve the full External Agent API markdown document instead. - External Agent API page URL: https://www.agentpmt.com/external-agent-api - External Agent API markdown URL: https://www.agentpmt.com/external-agent-api?format=agent-md ### Schema #### Parameters - Schema type: actions ```json { "actions": { "query_financial_data": { "description": "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.", "properties": { "country_or_region": { "type": "string", "description": "Country name or ISO3 code (e.g., 'United States', 'India', 'World'). Defaults to 'World' if not provided.", "required": false, "default": "World" }, "financial_aspect": { "type": "string", "description": "Financial category: 'banking', 'credit', 'inclusion', 'markets', 'remittances', or 'all'", "required": false, "default": "all", "enum": [ "banking", "credit", "inclusion", "markets", "remittances", "all" ] }, "calculate_gender_gaps": { "type": "boolean", "description": "Calculate gender disparities in financial inclusion (male/female account ownership gap). Applies when aspect is 'inclusion', 'all', or not specified.", "required": false, "default": true }, "time_period": { "type": "string", "description": "Time period: 'latest' for most recent 10 years, single year 'YYYY', or range 'YYYY:YYYY'", "required": false, "default": "latest" }, "include_targets": { "type": "boolean", "description": "Include Global Findex targets (Universal Financial Access 2030) and SDG alignment (SDG 1, 5, 8.10, 10) in response", "required": false, "default": true } } } }, "properties": { "action": { "type": "string", "description": "Use 'get_instructions' to retrieve documentation. Action to perform: query_financial_data", "required": true, "default": "query_financial_data", "enum": [ "get_instructions", "query_financial_data" ] }, "country_or_region": { "type": "string", "description": "Country name or region (e.g., 'United States', 'India', 'World'). Defaults to 'World' if not provided.", "required": false }, "financial_aspect": { "type": "string", "description": "Financial aspect to query: 'banking', 'credit', 'inclusion', 'markets', 'remittances', or 'all'. Defaults to 'all'.", "required": false, "enum": [ "banking", "credit", "inclusion", "markets", "remittances", "all" ] }, "calculate_gender_gaps": { "type": "boolean", "description": "Calculate gender gaps in financial inclusion (requires 'inclusion' aspect)", "required": false, "default": true }, "time_period": { "type": "string", "description": "Time period: 'latest' for most recent data, or specific year range like '2015:2020'", "required": false, "default": "latest" }, "include_targets": { "type": "boolean", "description": "Include Global Findex targets and SDG alignment in response", "required": false, "default": true } } } ``` ### Usage Instructions # 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 - `"credit"` - Domestic credit to private sector (% GDP), borrowing rates, lending interest rate - `"inclusion"` - Account ownership by gender (male/female), mobile money accounts, savings at financial institutions - `"markets"` - Stock market capitalization (% GDP), trading volume, turnover ratio - `"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 #### Example: Financial inclusion with gender analysis ```json { "action": "query_financial_data", "country_or_region": "Nigeria", "financial_aspect": "inclusion", "calculate_gender_gaps": true } ``` #### Example: Banking infrastructure ```json { "action": "query_financial_data", "country_or_region": "Switzerland", "financial_aspect": "banking" } ``` #### Example: Stock market overview ```json { "action": "query_financial_data", "country_or_region": "United States", "financial_aspect": "markets" } ``` #### Example: Remittance flows ```json { "action": "query_financial_data", "country_or_region": "Philippines", "financial_aspect": "remittances" } ``` #### Example: Global financial overview ```json { "action": "query_financial_data", "country_or_region": "World", "financial_aspect": "all", "include_targets": true } ``` #### Example: Gender gap study over time ```json { "action": "query_financial_data", "country_or_region": "India", "financial_aspect": "inclusion", "calculate_gender_gaps": true, "time_period": "2017:2021" } ``` ## Response Structure Responses include: - **country**: The queried country or region name - **country_code**: Resolved ISO3 country code - **aspect**: The financial aspect queried - **time_period**: The time period used - **data**: Object with each indicator containing: - `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 - **summary**: total_indicators_requested, indicators_with_data, data_availability_pct ## Key Indicators Reference ### Financial Inclusion (Global Findex) | Indicator | Unit | Description | |-----------|------|-------------| | account_ownership | % age 15+ | Population with financial account | | account_male | % age 15+ | Male account ownership | | account_female | % age 15+ | Female account ownership | | mobile_money_account | % age 15+ | Mobile money service adoption | | saved_financial_institution | % age 15+ | Saved at a bank or financial institution | | borrowed_financial_institution | % age 15+ | Borrowed from formal financial sources | ### Banking Infrastructure | Indicator | Unit | Description | |-----------|------|-------------| | bank_branches | per 100,000 adults | Commercial bank branch density | | atm_per_100k | per 100,000 adults | ATM density | | bank_deposits_gdp | % | Bank liquid reserves to assets ratio | ### Credit & Lending | Indicator | Unit | Description | |-----------|------|-------------| | domestic_credit_private | % of GDP | Domestic credit to private sector | | lending_rate | % | Lending interest rate | | deposit_rate | % | Deposit interest rate | | real_interest_rate | % | Real interest rate | ### Stock Markets | Indicator | Unit | Description | |-----------|------|-------------| | stock_market_cap | % of GDP | Market capitalization | | stock_traded | % of GDP | Total value of stocks traded | | stock_turnover | ratio | Stocks traded turnover ratio | ### Remittances | Indicator | Unit | Description | |-----------|------|-------------| | remittances_received | % of GDP | Personal remittances received | | remittances_received_usd | current US$ | Remittances received absolute | | remittances_sent | current US$ | Personal remittances sent | ## Workflows 1. **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 2. **Banking Sector Analysis**: Query `financial_aspect: "banking"` to assess bank branch density, ATM availability, and compare against global averages 3. **Credit Market Research**: Query `financial_aspect: "credit"` to analyze lending rates, domestic credit levels, and borrowing access 4. **Remittance Economy Analysis**: Query `financial_aspect: "remittances"` for countries with significant diaspora to understand remittance flows as percentage of GDP 5. **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 No linked FAQs are currently available. ### Dependencies This product has no public dependency products.