Mappls MapmyIndia Autosuggest API helps users complete search queries faster by providing real-time place and address suggestions based on user input, location context and hyperlocal relevance.
Mappls MapmyIndia Autosuggest API enables applications to provide intelligent search suggestions as users type, helping them quickly discover relevant places, addresses and locations. Built on Mappls MapmyIndia geospatial datasets, the API delivers accurate and context-aware suggestions suited to real-world search behavior across diverse geographies.
The API is designed to handle the complexity of Indian addressing patterns and road networks, enabling applications to return relevant and hyperlocal search results even when queries are incomplete or loosely structured.
Smart Search Suggestions
Provides intelligent keyword and place suggestions dynamically based on user input, enabling faster and more intuitive search experiences.
Hyperlocal Search
Returns relevant address and place suggestions around a user location, improving precision and usability in real-world scenarios.
Indic Language Support
Supports input and results in Indic languages, enabling localized search experiences for diverse user bases.
Area and Type-Based Filtering
Allows applications to restrict suggestions by city, locality, or administrative boundaries to improve relevance.
Real-Time Data Updates
Search results reflect regularly updated place and address data to maintain accuracy and real-world relevance.
Highlights
Intelligent Autosuggest Built on Deep Understanding of Indian Roads and Addresses
Hyperlocal, Real-Time Search Suggestions for Faster Query Completion
Supports Indic Languages and Area-Based Filtering for Localized Search
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Pricing is based on the duration and terms of your contract with the vendor, and additional usage. You pay upfront or in installments according to your contract terms with the vendor. This entitles you to a specified quantity of use for the contract duration. Usage-based pricing is in effect for overages or additional usage not covered in the contract. These charges are applied on top of the contract price. If you choose not to renew or replace your contract before the contract end date, access to your entitlements will expire.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
This listing uses a single contract dimension based on request volume. You buy a bundle that includes up to 100,000 requests to the Autosuggest API. Each call to the search suggestion service counts as one request against that allowance. Pricing scales with the number of requests you commit to, not by user seats, servers, or features. There are no separate tiers or instance sizes to choose from. You commit to the request package under the contract term, and your usage draws down from the included request count.
Top-of-mind questions for buyers
What counts as one request against my included allowance of 100,000?
Each call to the Autosuggest API counts as one request. When a user types and the service returns place or address suggestions, that single query draws down one request from your allowance. Requests are counted by API call volume, not by user, session, or number of suggestions returned.
What happens if my usage exceeds the 100,000 included requests?
The contract dimension includes up to 100,000 requests. Once your usage draws down that allowance, contact the vendor about adding more request capacity. The listing does not publish automatic overage pricing, so plan your committed request volume to match expected API call demand.
Does the request allowance cover only Autosuggest, or other search features too?
The included requests apply to the Autosuggest API, which returns place and address suggestions as users type. Other search functions like Nearby Places, Text Search, Geocode, or Reverse Geocode are separate services and are not covered by this listing's request count.
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Contact the Mappls API support (awsmapisupport@mapmyindia.com) team directly for subscription or technical/integration queries.
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