This endpoint includes data about Do Not Call and robocall complaints reported to the Federal Trade Commission. This data consists of information reported by consumers about unwanted calls, including the date/time the complaint was created.

This dataset is retired as of December 5, 2021 & will not be updated. The Open311 API system is open source data and contains service request information relating to potholes and graffiti reports (5 types of graffiti requests). This dataset does not contain any personal identifying information. Data will be entered by citizens with their smart phones, entered online or reported by phone to a Customer Service Representative (CSR). Graffiti reported on private property will be triaged by a 311 CSR to ensure no personal information is disclosed further. For more information on Open311 and the collaborative effort to create an open standard for 311 services, visit the Open311 website. Open311 API Toronto Information sheet: http://www.toronto.ca/311/open311.htm Conforms to the Open311 API specification: http://wiki.open311.org/GeoReport_v2 This data is collected through a variety of channels available to 311. The City is creating a channel to allow citizens to use 3rd party mobile applications to report 311 service requests related to graffiti and potholes. This dataset does not contain any personal identifying information.

With this API you can get travel suggestions from A to B within Stockholm County with SL's traffic.

In SL's journey planner there is also Waxholmsbolaget's traffic. The API can be used to calculate travel suggestions between any combination of location and/or stopping point. The API returns travel suggestions from the ‘best match’ of what is entered.

Changes since SL Journey Planner 3

A change has been made that may affect implementing applications. For version 3.1 of the Journey Planner, the response format for the crd elements of the polyline describing the detailed itinerary has been changed. The dots are represented in this version of double numbers compared to version 3.0 which represented them as integers.

SL Journey Planner 3.0:

17973032593605019 18

SL Journey Planner 3.1:

17.97303259.3605019.0E-61.8E-5

API key

A valid API key is required that is sent as the "key" parameter in all method calls. An API key is obtained by creating a project that uses this API. More about how to create and use API keys can be found here. To get an API key, you must accept the API's license terms. There are some restrictions on the number of calls per minute and per month.

Note: To get the Gold level you need to write a detailed description of the project at Trafiklab. Projects that do not have a description will be denied the Gold level.

Level Max call/month Max call/minute

Bronze 10,000 30

Silver 500 000 60

Gold As needed

Our goal is that everyone who wants data should have access to it, and that it should remain free of charge. The limitations we have today are because we want to be able to guarantee that our technology works for as many people as possible. Before upgrading a service, we want a forecast of how much traffic the service will generate in relation to how many travelers will benefit from the information. To have your account upgraded, use the upgrade button next to your key.

The Open Data API search operations offers this functionalities: - Search stops by description. E.g Veemarkt or station. - Search lines by number or description. E.g search line 48 or Hamont - Search locations (x,y) by user address input. Typical for input on a routeplanner (e.g. kerkstraat 14 Hasselt or Achter De Kazerne ) . Limited Geocoding service that returns stops, addresses or POIs and its XY coordinates De Lijn does apply limits to its open data. On request and when justified we can increase these limits per subscription Max 864000 calls per product per day Max 6000 calls per product per minute Max 6000 calls for per minute We have some more non disclosed measures to ensure API stability We do not provide SLAs. Data quality The quality of the data that is disclosed is equal to the quality that is sufficient for internal use of the data (within the services of the Flemish or local government).

Since 2002, AmeriList has been the nation’s premier provider of student-marketing data, offering a broad suite of ethically compiled, highly accurate, and deliverable mailing, email, and telemarketing lists targeting families, high-school students, college-bound freshmen, enrolled college students, and adult learners for continuing education

Comprehensive Dataset Overviews • Parents of Students / Households with Children – Reach parents alongside teens and pre-teens, ideal for programs like prom services, tutoring, summer camps, and private school admissions • High-School Students – Access ~5 million U.S. students and their parents, with robust selects including GPA, class rank, SAT/GED scores, arts/athletic interests, intended college, school year, and more • College-Bound Students Database – Tap into over 3–4 million incoming freshmen making major purchases (electronics, school supplies, dorm essentials, apparel), with segmentation by college attending, GPA, sports interest, geography, income, credit usage, and more • College Students Mailing List – Access ~24.4 million enrolled college students, segmented by class year, gender, field of study, hobbies, buying habits, and more for highly targeted outreach • Adult Learners / Continuing Education – Reach over 30 million individuals who have completed some college or are interested in continuing education, vocational or trade programs

How the Data Is Compiled & Maintained AmeriList uses a rigorous, ethical data-collection methodology, aggregating information from direct responses, internet and telephone surveys, public records, club memberships, purchase history, self-reported data, and proprietary sources.

All lists undergo monthly updates and data hygiene processes, including: - CASS-certification for address standardization - DPV (Delivery Point Validation) removal of unverifiable addresses - NCOALink, LACSLink, and Address Change processing for forwarding accuracy - Do-Not-Call, DMA suppression, in-house suppression for compliance - Deceased-record scrubbing via internal and third-party checks

Recommended Uses • Parents & High-School Campaigns – Promote private schooling, test prep, student loans, scholarships, events like prom or summer camps, trade schools, teen retail, or electronics • College-Bound Freshmen – Ideal for marketing student loans, scholarships, credit cards, dorm suppliers, school supplies, electronics, study aids, and apparel • Enrolled College Students – Excellent for textbook vendors, academic supplies, coupons, food delivery, financial aid, campus services, tech products, and lifestyle brands • Adult Learners / Continuing Ed – Perfect for vocational schools, certificate programs, online learning, re-enrollment, or career enhancement marketing

With data that is fresh, accurate, and ethically sourced, AmeriList gives you the tools to launch smarter, more impactful campaigns across mail, email, and telemarketing channels. Backed by two decades of expertise, proven results, and unmatched audience coverage, AmeriList is the trusted partner for organizations that want to connect with the student market and drive measurable growth.

List of the ten most visited datasets in the open data portal Schleswig-Holstein per month.

Only calls to the record metadata (description) are counted via the web interface. API calls and downloads of the associated files are not counted. So it happens that the record description is retrieved only once and then a regular access to the underlying data file is carried out. That would not be included in these figures.

The calls of records from a time series were summed up in a single entry.

The following fields are available:

— ‘month’ — in the format ‘yyyy-mm’ — ‘Number’ — Number of views — ‘URL’ — Address of the record in the open data portal

Column separator is comma

Due to technical issues the Active Calls dataset may experience intermittent delays in automated data refreshing.

Staff is actively monitoring the situation.

The calls listed here are only those where the element assigned to the call has arrived and is currently working the call. It does not include any calls for service, whether currently being worked or not, that are not releasable due to privacy laws.

Splitgraph serves as an HTTP API that lets you run SQL queries directly on this data to power Web applications. For example:

See the Splitgraph documentation for more information.

With this API you can get information about nearby stops to a provided location based on latitude and longitude.

API key

A valid API key is required that is sent as the "key" parameter in all method calls. An API key is obtained by creating a project that uses this API. More about how to create and use API keys can be found here. To get an API key, you must accept the API's license terms. There are some restrictions on the number of calls per minute and per month.

Note: To get the Gold level you need to write a detailed description of the project at Trafiklab. Projects that do not have a description will be denied the Gold level.

Level Max call/month Max call/minute

Bronze 10,000 30

Silver 500 000 60

Gold As needed

Our goal is that everyone who wants data should have access to it, and that it should remain free of charge. The limitations we have today are because we want to be able to guarantee that our technology works for as many people as possible. Before upgrading a service, we want a forecast of how much traffic the service will generate in relation to how many travelers will benefit from the information. To have your account upgraded, use the upgrade button next to your key.

Statistics of trips taken on HireDevice in Hamilton City. To get data for this dataset, please call the API directly talking to the HCC Data Warehouse: https://api.hcc.govt.nz/OpenData/get_hiredevice_trip?Page=1&Start_Date=2020-10-01&End_Date=2020-10-02. For this API, there are three mandatory parameters: Page, Start_Date, End_Date. Sample values for these parameters are in the link above. When calling the API for the first time, please always start with Page 1. Then from the returned JSON, you can see more information such as the total page count and page size. For help on using the API in your preferred data analysis software, please contact dale.townsend@hcc.govt.nz. NOTE: Anomalies and missing data may be present in the dataset.

Column_InfoTrip_Id, varchar : Unique identifier of the tripTrip_Duration, int : Duration of the trip in secondsTrip_Distance, int : Distance of the trip in metresDevice_Id, varchar : Unique identifier of the GPS device on the scooterVehicle_Id, varchar : Unique identifier of the scooterStart_Time, datetime : Date and time that the trip startedEnd_Time, datetime : Date and time that the trip ended

Relationship

This table is referenced by HireDevice_Route

Analytics

For convenience Hamilton City Council has also built a Quick Analytics Dashboard over this dataset that you can access here.

Disclaimer

Hamilton City Council does not make any representation or give any warranty as to the accuracy or exhaustiveness of the data released for public download. Levels, locations and dimensions of works depicted in the data may not be accurate due to circumstances not notified to Council. A physical check should be made on all levels, locations and dimensions before starting design or works.

Hamilton City Council shall not be liable for any loss, damage, cost or expense (whether direct or indirect) arising from reliance upon or use of any data provided, or Council's failure to provide this data.

While you are free to crop, export and re-purpose the data, we ask that you attribute the Hamilton City Council and clearly state that your work is a derivative and not the authoritative data source. Please include the following statement when distributing any work derived from this data:

‘This work is derived entirely or in part from Hamilton City Council data; the provided information may be updated at any time, and may at times be out of date, inaccurate, and/or incomplete.'

API Rate Limiting for Open Banking Market Outlook

According to our latest research, the global API Rate Limiting for Open Banking market size reached USD 1.28 billion in 2024, with an impressive year-over-year growth. The market is set to grow at a CAGR of 18.4% from 2025 to 2033, with the forecasted market value expected to reach USD 6.29 billion by 2033. The primary growth driver is the increasing adoption of open banking frameworks worldwide, necessitating robust API management and security mechanisms to ensure compliance, performance, and customer trust.

The expansion of open banking initiatives, particularly in regions like Europe and Asia Pacific, is a significant growth factor for the API Rate Limiting for Open Banking market. Regulatory mandates such as PSD2 in the European Union and similar frameworks in Australia and the UK have compelled banks and financial institutions to open their APIs to third parties. This has substantially increased the volume and complexity of API calls, making rate limiting essential for maintaining system stability and preventing abuse. As the number of fintech participants and third-party providers grows, banks are investing heavily in sophisticated API management solutions that include real-time rate limiting, traffic shaping, and analytics to ensure seamless and secure integration with external partners.

Another crucial driver is the escalating threat landscape in the digital banking ecosystem. With the proliferation of APIs, the risk of denial-of-service attacks, data breaches, and fraudulent activities has risen sharply. Financial institutions recognize that API rate limiting is not only a performance management tool but also a critical security layer. By setting thresholds and monitoring API consumption, organizations can detect anomalies, mitigate brute-force attacks, and comply with regulatory requirements for data protection. This heightened focus on security and compliance is prompting banks, fintechs, and payment service providers to adopt advanced API rate limiting solutions as a core component of their open banking infrastructure.

The rapid digital transformation across the financial sector, accelerated by the COVID-19 pandemic, has further fueled the demand for API rate limiting solutions. As customers increasingly prefer digital channels for banking and payments, the volume of API transactions has surged. Enterprises are seeking scalable, cloud-based API management platforms that offer flexible rate limiting configurations to accommodate fluctuating traffic patterns and ensure uninterrupted service delivery. The emergence of new use cases, such as embedded finance and Banking-as-a-Service (BaaS), is also driving innovation in API rate limiting technologies, enabling financial institutions to offer differentiated services while maintaining operational resilience.

Regionally, Europe remains at the forefront of the API Rate Limiting for Open Banking market, driven by its early adoption of open banking regulations and a mature fintech ecosystem. North America is experiencing robust growth, fueled by increasing investments in digital banking and API security solutions. The Asia Pacific region is emerging as a high-growth market, with countries like Australia, Singapore, and India implementing open banking frameworks and encouraging API-driven innovation. Latin America and the Middle East & Africa are gradually catching up, supported by regulatory reforms and the growing penetration of digital financial services. Each region presents unique challenges and opportunities, shaping the competitive dynamics and technology adoption patterns in the global market.

Component Analysis

The API Rate Limiting for Open Banking market by component is segmented into software and services, with both playing pivotal roles in the overall ecosystem. The software segment encompasses API gateway solutions, traffic management tools, and security platforms that enforce rate limiting policies. These solutions are designed to handle high volumes of API call

Eligibility and Benefits Verification APIs Market Outlook

According to our latest research, the global Eligibility and Benefits Verification APIs market size reached USD 1.28 billion in 2024, demonstrating robust demand across healthcare and insurance sectors. The market is expected to grow at a CAGR of 16.2% from 2025 to 2033, ultimately reaching USD 4.01 billion by 2033. This growth is primarily driven by the increasing need for real-time, automated verification solutions that streamline administrative processes and enhance patient and provider experiences in a rapidly digitizing healthcare ecosystem.

A key growth factor fueling the Eligibility and Benefits Verification APIs market is the rising demand for automated, real-time verification processes in healthcare. Manual eligibility and benefits checks are not only time-consuming but also susceptible to errors, leading to claim denials and administrative inefficiencies. By leveraging APIs, healthcare providers and payers can instantly access up-to-date eligibility and benefits information, reducing administrative overhead and improving revenue cycle management. Furthermore, the ongoing shift towards value-based care models and the increasing complexity of insurance plans necessitate advanced digital tools that can quickly and accurately verify patient coverage, making APIs indispensable in modern healthcare operations. The integration of these APIs with electronic health records (EHRs) and practice management systems further amplifies their value by enabling seamless workflows and data interoperability.

Another significant driver is the regulatory landscape, which increasingly mandates electronic transactions and data transparency in healthcare. Regulations such as the Health Insurance Portability and Accountability Act (HIPAA) in the United States and similar standards globally require secure, standardized data exchanges between healthcare entities. Eligibility and Benefits Verification APIs help organizations comply with these regulations by facilitating secure, auditable, and standardized data flows. Additionally, the push for interoperability and patient access to information, as seen in initiatives like the 21st Century Cures Act, creates a fertile environment for API adoption. These regulations not only ensure compliance but also incentivize healthcare organizations to modernize their IT infrastructure, driving further investment in API-based solutions.

The ongoing digital transformation across healthcare and insurance sectors is accelerating the adoption of Eligibility and Benefits Verification APIs. As healthcare providers and payers increasingly migrate to cloud-based platforms and embrace digital health solutions, the need for scalable, flexible, and easily integrable APIs becomes paramount. The proliferation of telemedicine, remote patient monitoring, and digital front-door solutions has expanded the use cases for eligibility and benefits verification beyond traditional in-person encounters. APIs enable organizations to offer real-time eligibility checks across multiple channels, including patient portals, mobile apps, and call centers, thereby enhancing patient engagement and satisfaction. This digital shift is expected to sustain high growth rates in the market over the forecast period.

From a regional perspective, North America continues to dominate the Eligibility and Benefits Verification APIs market, accounting for the largest share in 2024. This leadership is attributed to the region's advanced healthcare IT infrastructure, high adoption of electronic health records, and stringent regulatory requirements for electronic data exchange. Europe is also witnessing rapid growth, driven by increasing digitization in healthcare and supportive government initiatives. Meanwhile, the Asia Pacific region is emerging as a lucrative market, fueled by expanding healthcare access, growing insurance penetration, and rising investments in healthcare IT. Latin America and the Middle East & Africa are gradually catching up, with investments in healthcare modernization and digital transformation initiatives providing new growth avenues for API vendors.

This layer shows children by nativity of parents by age group. This is shown by tract, county, and state boundaries. This service is updated annually to contain the most currently released American Community Survey (ACS) 5-year data, and contains estimates and margins of error. There are also additional calculated attributes related to this topic, which can be mapped or used within analysis. This layer is symbolized to show the percentage of children who are in immigrant families (children who are foreign born or live with at least one parent who is foreign born). To see the full list of attributes available in this service, go to the "Data" tab, and choose "Fields" at the top right. Current Vintage: 2019-2023ACS Table(s): B05009Data downloaded from: Census Bureau's API for American Community Survey Date of API call: December 12, 2024National Figures: data.census.govThe United States Census Bureau's American Community Survey (ACS):About the SurveyGeography & ACSTechnical DocumentationNews & UpdatesThis ready-to-use layer can be used within ArcGIS Pro, ArcGIS Online, its configurable apps, dashboards, Story Maps, custom apps, and mobile apps. Data can also be exported for offline workflows. For more information about ACS layers, visit the FAQ. Please cite the Census and ACS when using this data.Data Note from the Census:Data are based on a sample and are subject to sampling variability. The degree of uncertainty for an estimate arising from sampling variability is represented through the use of a margin of error. The value shown here is the 90 percent margin of error. The margin of error can be interpreted as providing a 90 percent probability that the interval defined by the estimate minus the margin of error and the estimate plus the margin of error (the lower and upper confidence bounds) contains the true value. In addition to sampling variability, the ACS estimates are subject to nonsampling error (for a discussion of nonsampling variability, see Accuracy of the Data). The effect of nonsampling error is not represented in these tables.Data Processing Notes:This layer is updated automatically when the most current vintage of ACS data is released each year, usually in December. The layer always contains the latest available ACS 5-year estimates. It is updated annually within days of the Census Bureau's release schedule. Click here to learn more about ACS data releases.Boundaries come from the US Census TIGER geodatabases, specifically, the National Sub-State Geography Database (named tlgdb_(year)_a_us_substategeo.gdb). Boundaries are updated at the same time as the data updates (annually), and the boundary vintage appropriately matches the data vintage as specified by the Census. These are Census boundaries with water and/or coastlines erased for cartographic and mapping purposes. For census tracts, the water cutouts are derived from a subset of the 2020 Areal Hydrography boundaries offered by TIGER. Water bodies and rivers which are 50 million square meters or larger (mid to large sized water bodies) are erased from the tract level boundaries, as well as additional important features. For state and county boundaries, the water and coastlines are derived from the coastlines of the 2023 500k TIGER Cartographic Boundary Shapefiles. These are erased to more accurately portray the coastlines and Great Lakes. The original AWATER and ALAND fields are still available as attributes within the data table (units are square meters). The States layer contains 52 records - all US states, Washington D.C., and Puerto RicoCensus tracts with no population that occur in areas of water, such as oceans, are removed from this data service (Census Tracts beginning with 99).Percentages and derived counts, and associated margins of error, are calculated values (that can be identified by the "_calc_" stub in the field name), and abide by the specifications defined by the American Community Survey.Field alias names were created based on the Table Shells file available from the American Community Survey Summary File Documentation page.Negative values (e.g., -4444...) have been set to null, with the exception of -5555... which has been set to zero. These negative values exist in the raw API data to indicate the following situations:The margin of error column indicates that either no sample observations or too few sample observations were available to compute a standard error and thus the margin of error. A statistical test is not appropriate.Either no sample observations or too few sample observations were available to compute an estimate, or a ratio of medians cannot be calculated because one or both of the median estimates falls in the lowest interval or upper interval of an open-ended distribution.The median falls in the lowest interval of an open-ended distribution, or in the upper interval of an open-ended distribution. A statistical test is not appropriate.The estimate is controlled. A statistical test for sampling variability is not appropriate.The data for this geographic area cannot be displayed because the number of sample cases is too small.

Please note: Due to pandemic call handling modifications, the activity data since March 2020 does not fully represent the agent-handled calls to 311. The actual calls handled are higher.

The 311 Call Center Inquiry dataset contains information on all agent-handled calls to the City’s 311 information line, including date, time and topic.

Click here for the data dictionary.

This dataset reflects incidents that have been reported to the New Orleans Police Department in 2011. Data is provided by Orleans Parish Communication District (OPCD), the administrative office of 9-1-1 for the City of New Orleans. In the OPCD system, NOPD may reclassify or change the signal type for up to 36 hours after the incident is marked up. For information about an incident after this time period, citizens may request police reports from the NOPD Public Records Division. In order to protect the privacy of victims, addresses are shown at the block level and the call types cruelty to juveniles, juvenile attachment and missing juvenile have been removed in accordance with the Louisiana Public Records Act, L.R.S. 44:1. Map coordinates (X,Y) have been removed for the following call types: Aggravated Rape, Aggravated Rape - MA, Crime Against Nature, Mental Patient, Oral Sexual Battery, Prostitution, Sexual Battery, Simple Rape, and Soliciting for Prost.Disclaimer: These incidents may be based upon preliminary information supplied to the Police Department by the reporting parties that have not been verified. The preliminary crime classifications may be changed at a later date based upon additional investigation and there is always the possibility of mechanical or human error. Therefore, the New Orleans Police Department does not guarantee (either expressed or implied) the accuracy, completeness, timeliness, or correct sequencing of the information and the information should not be used for comparison purposes over time. The New Orleans Police Department will not be responsible for any error or omission, or for the use of, or the results obtained from the use of this information. All data visualizations on maps should be considered approximate and attempts to derive specific addresses are strictly prohibited. The New Orleans Police Department is not responsible for the content of any off-site pages that are referenced by or that reference this web page other than an official City of New Orleans or New Orleans Police Department web page. The user specifically acknowledges that the New Orleans Police Department is not responsible for any defamatory, offensive, misleading, or illegal conduct of other users, links, or third parties and that the risk of injury from the foregoing rests entirely with the user. Any use of the information for commercial purposes is strictly prohibited. The unauthorized use of the words "New Orleans Police Department," "NOPD," or any colorable imitation of these words or the unauthorized use of the New Orleans Police Department logo is unlawful. This web page does not, in any way, authorize such use.

Splitgraph serves as an HTTP API that lets you run SQL queries directly on this data to power Web applications. For example:

See the Splitgraph documentation for more information.

Snapshot img { margin: 10px !important; } The telecom application programming interface market size has the potential to grow by USD 2.24 billion during 2020-2024, and the market’s growth momentum will accelerate during the forecast period.

This report provides a detailed analysis of the market by service (SMR, payment, maps and location, VS, and identity management) and geography (APAC, Europe, North America, MEA, and South America). Also, the report analyzes the market’s competitive landscape and offers information on several market vendors, including AT&T Inc., Fortumo OU, Hewlett Packard Enterprise Co., Huawei Investment & Holding Co. Ltd., Oracle Corp., Telefonaktiebolaget LM Ericsson, Telefonica SA, Verizon Communications Inc., Vonage Holdings Corp., and ZTE Corp.

Market Overview

Browse TOC and LoE with selected illustrations and example pages of Telecom Application Programming Interface (API) Market

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Market Competitive Analysis

The market is fragmented. AT&T Inc., Fortumo OU, and Hewlett Packard Enterprise Co. are some of the major market participants. The number of voice calls, SMS, and text messages has increased because of the limited face-to-face interaction between individuals owing to the outbreak of COVID-19. However, planned investments have been stalled, particularly in 5G. On the other hand, there is an increase in collaboration between players for the borrowing spectrum. Although the enhanced business value of APIs and end-to-end visibility will offer immense growth opportunities, the non-renewals of API subscription will challenge the growth of the market participants. To make the most of the opportunities, market vendors should focus more on the growth prospects in the fast-growing segments, while maintaining their positions in the slow-growing segments.

To help clients improve their market position, this telecom application programming interface market forecast report provides a detailed analysis of the market leaders and offers information on the competencies and capacities of these companies. The report also covers details on the market’s competitive landscape and offers information on the products offered by various companies. Moreover, this telecom application programming interface market analysis report also provides information on the upcoming trends and challenges that will influence market growth. This will help companies create strategies to make the most of future growth opportunities.

This report provides information on the production, sustainability, and prospects of several leading companies, including:

AT&T Inc.
Fortumo OU
Hewlett Packard Enterprise Co.
Huawei Investment & Holding Co. Ltd.
Oracle Corp.
Telefonaktiebolaget LM Ericsson
Telefonica SA
Verizon Communications Inc.
Vonage Holdings Corp.
ZTE Corp.

Telecom Application Programming Interface Market: Segmentation by Geography

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APAC was the largest telecom application programming interface market in 2019, and the region will offer several growth opportunities to market vendors during the forecast period. Factors such as the rise in the demand for mobile applications and enterprises adopting web-based applications will significantly drive telecom application programming interface market growth in this region over the forecast period.

37% of the market’s growth will originate from APAC during the forecast period. China, Japan, and India are the key markets for telecom application programming interface in APAC. Market growth in this region will be faster than the growth of the market in other regions.

Telecom Application Programming Interface Market: Segmentation by Service

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The growth rate of the API market for SMS, MMS, and RCS services will increase during the forecast period due to the emergence of applications, which include services such as SMS, MMS, and RCS. Moreover, SMS API does not require custom software either on devices or service provider systems. It also reduces the overall cost of the application, driving the segment's growth. Also, the service providers for SMS and MMS cover around 800 networks in more than 200 countries across the globe.

This report provides an accurate prediction of the contribution of all the segments to the growth of the telecom application programming interface market size.

Telecom Application Programming Interface Market: Key Drivers and Trends

The telecom API market forecast report has identified the enhanced business value of APIs and end-to-end visibility as the major factors that will have a positive impact on the market’s growth during the next few years. Telecom API offers end-to-end business visibility across the digital value chain and supply chain. Additionally, API keeps track of the health and performance of web appl

Product Overview Scale your Identity Resolution and Contact Enrichment capabilities with the world’s largest commercially available Email-to-Phone linkage dataset. Covering over 850 Million verified pairs across 190+ countries, this dataset bridges the gap between digital identifiers (Email) and physical reachability (Mobile/Phone).

We provide a deterministic link between email addresses and phone numbers, enabling enterprises to resolve customer identities, prevent fraud, and enrich CRM records with high-accuracy mobile data. Unlike regional providers, our Global Identity Graph aggregates data from telco partnerships, e-commerce signals, and opt-in consortiums to deliver a single, unified solution for global operations.

Key Questions This Data Answers Identity & Risk Teams:

Is this email address associated with a valid, active mobile number?

Does the phone number country match the user's IP location? (Critical for Fraud Detection)

Is this a VOIP/Burner line or a legitimate contract mobile number?

Marketing & Sales Teams:

What is the direct mobile number for this prospect?

How can I reactivate dormant email leads via SMS or Telemarketing?

Which records in my CRM are missing phone numbers?

Common Use Cases 1. Fraud Prevention & Risk Scoring Stop synthetic fraud at the gate. By validating that an incoming email is tied to a legitimate, long-standing mobile number, you can drastically reduce account takeover (ATO) and fake sign-ups.

Signal: Match status (Match/No Match) acts as a strong trust signal.

Line Type: Flag risky VOIP or non-fixed VOIP lines immediately.

1. CRM Enrichment & Reverse Append Breathe life into legacy databases. Take a list of email addresses (hashed or plain text) and append verified phone numbers to unlock new channels like SMS, WhatsApp, or Direct Sales calls.

Fill Rates: Achieve industry-leading match rates (30-60% depending on region).

Refresh: Update old landlines to current mobile numbers.

1. Identity Verification (KYC/AML) Strengthen Know Your Customer (KYC) workflows by adding a passive layer of verification. Confirm that the user providing an email owns the associated mobile device without adding friction to the UX.

2. Omnichannel Marketing Create a unified customer view. Link a user's email activity (Newsletter opens) with their mobile identity to orchestrate synchronized Email + SMS campaigns.

Data Dictionary & Schema Attributes We provide a rich output schema. You send us an Email (Plain Text, MD5, SHA1, or SHA256); we return the following:

Core Identity Fields:

email_address: The input email (or hash).

phone_number: The matched phone number in E.164 format (e.g., +14155550123).

match_score: Confidence score of the linkage (0-100).

last_seen_date: Timestamp of the most recent signal validating this link.

Phone Metadata:

country_code: ISO 2-letter country code (e.g., US, GB, DE).

carrier_name: Name of the telecom provider (e.g., Verizon, Vodafone).

line_type: Classification of the number (Mobile, Landline, Fixed VOIP, Non-Fixed VOIP, Toll-Free).

is_active: Boolean flag indicating if the line has shown recent activity.

Linkage Metadata:

linkage_type: Source of the match (Deterministic vs. Probabilistic).

source_category: Aggregated source type (e.g., E-commerce, Telco, Utility).

Global Coverage & Scale Our 850M+ matches are not just US-centric. We offer significant density in key global markets:

North America: ~350M Matches

Europe (GDPR Compliant): ~250M Matches

APAC: ~150M Matches

LATAM: ~100M Matches

Methodology & Compliance Privacy First: We strictly adhere to GDPR, CCPA, and TCPA regulations. All European data is sourced from consent-based frameworks.

Hashing Supported: We accept and return hashed data (MD5/SHA256) for privacy-safe mapping in clean rooms (Snowflake/AWS).

Verification: Our "Active Line" check pings the HLR (Home Location Register) to ensure the number is currently in service, reducing SMS bounce rates.

Delivery & Formats Real-Time API: <100ms latency for live verification at checkout.

Batch Upload: Secure SFTP or S3 bucket transfer for large-scale CRM enrichment.

Formats: JSON, CSV, Parquet.

We offer three easy-to-understand packages to fit your business needs. Visit intrinio.com/pricing to compare packages.

Bronze

The Bronze package is ideal for developing your idea and prototyping your platform with high-quality EOD options prices sourced from OPRA.

When you’re ready for launch, it’s a seamless transition to our Silver package for delayed options prices, Greeks and implied volatility, and unusual options activity, plus delayed equity prices.

• Latest EOD OPRA options prices

Exchange Fees & Requirements:

This package requires no paperwork or exchange fees.

Bronze Benefits:

• Web API access
• 300 API calls/minute limit
• File downloads
• Unlimited internal users
• Unlimited internal & external display
• Built-in ticketing system
• Live chat & email support

Silver

The Silver package is ideal for clients that want delayed options data for their platform, or for startups in the development and testing phase. You’ll get 15-minute delayed options data, Greeks, implied volatility, and unusual options activity, plus the latest EOD options prices and delayed equity prices.

You can easily move up to the Gold package for real-time options and equity prices, additional access methods, and premium support options.

• 15-minute delayed OPRA options prices, Greeks & IV
• 15-minute delayed OPRA unusual options activity
• Latest EOD OPRA options prices
• 15-minute delayed equity prices
• Underlying security reference data

Exchange Fees & Requirements:

If you subscribe to the Silver package and will not display the data outside of your firm, you’ll need to fill out a simplified exchange agreement and send it back to us. There are no exchange fees and we can provide immediate access to the data.

If you subscribe to the Silver package and will display the data outside of your firm, we’ll work with your team to submit the correct paperwork to OPRA for approval. Once approved, OPRA will bill exchange fees directly to your firm – typically $600-$2000/month depending on your use case. These fees are the same no matter what data provider you use. Per-user reporting is not required, so there are no variable per user fees.

Silver Benefits:

• Assistance with OPRA paperwork
• Web API access
• 2,000 API calls/minute limit
• File downloads
• Access to third-party datasets via Intrinio API (additional fees required)
• Unlimited internal users
• Unlimited internal & external display
• Built-in ticketing system
• Live chat & email support
• Concierge customer success team
• Comarketing & promotional initiatives

Gold

The Gold package is ideal for funded companies that are in the growth or scaling stage, as well as institutions that are innovating within the fintech space. This full-service solution offers real-time options prices, Greeks and implied volatility, and unusual options activity, as well as the latest EOD options prices and real-time equity prices.

You’ll also have access to our wide range of modern access methods, third-party data via Intrinio’s API with licensing assistance, support from our team of expert engineers, custom delivery architectures, and much more.

• Real-time OPRA options prices, Greeks & IV
• Real-time OPRA unusual options activity
• Latest EOD OPRA options prices
• Real-time equity prices
• Underlying security reference data

Exchange Fees & Requirements:

If you subscribe to the Gold package, we’ll work with your team to submit the correct paperwork to OPRA for approval. Once approved, OPRA will bill exchange fees directly to your firm – typically $600-$2000/month depending on your use case. These fees are the same no matter what data provider you use. Per-user reporting is required, with an associated variable per user fee.

Gold Benefits:

• Assistance with OPRA paperwork
• Web API access
• 2,000 API calls/minute limit
• WebSocket access (additional fee)
• Customizable access methods (Snowflake, FTP, etc.)
• Access to third-party datasets via Intrinio API (additional fees required)
• Unlimited internal users
• Unlimited internal & external display
• Built-in ticketing system
• Live chat & email support
• Concierge customer success team
• Comarketing & promotional initiatives
• Access to engineering team

Platinum

Don’t see a package that fits your needs? Our team can design a premium custom package for your business.