{"id":299,"date":"2024-08-21T06:49:40","date_gmt":"2024-08-21T06:49:40","guid":{"rendered":"https:\/\/blog.predictleads.com\/?p=299"},"modified":"2026-10-21T15:01:40","modified_gmt":"2026-10-21T15:01:40","slug":"technology-detection-api-find-companies-using-specific-technologies","status":"publish","type":"post","link":"https:\/\/predictleads.com\/blog\/technology-detection-api-find-companies-using-specific-technologies\/","title":{"rendered":"Technology Detection API: How to Find Companies Using Specific Technologies (October 2026)"},"content":{"rendered":"\n<p><em>By Robert Fon \/ August 21, 2024 (Updated October 21, 2026)<\/em><\/p>\n\n<p>If your account research still means opening ten company websites and checking the page source for a script tag, you are only seeing the technologies a browser can load, which misses most backend tools, data warehouses, and anything mentioned only in a job posting. A technology detection API fixes that by returning structured, source-linked records of which technologies a company shows evidence of using, built from the same five public signals PredictLeads tracks across 99M+ companies. This guide covers what a technology detection API is, the two ways you can query it, the fields it returns, who uses it, and how to turn &#8220;find companies using a specific technology&#8221; into a clean, filterable list instead of a pile of browser tabs.<\/p>\n\n<p><strong>TLDR:<\/strong><\/p>\n<ul>\n<li>A technology detection API returns structured, timestamped records of which technologies a company shows evidence of using, built from public sources instead of a single page scan.<\/li>\n<li>You can query it two ways: forward, from a known company to its technologies, or reverse, from a technology name to every company showing evidence of using it.<\/li>\n<li>A detection is evidence that a technology appears in a public signal, such as a script tag, a DNS record, or a job description. It is not confirmation that the tool is actively running today.<\/li>\n<li>Most single-source scanners only read what loads in a browser, so backend systems, data warehouses, and many CRM deployments surface mainly through job descriptions and DNS records instead.<\/li>\n<li>PredictLeads Technology Detections cover 2B+ detections since 2018 across 99M+ companies and 240,000+ technologies, each record carrying <code>first_seen_at<\/code>, <code>last_seen_at<\/code>, and a <code>behind_firewall<\/code> flag.<\/li>\n<\/ul>\n\n<div id=\"ez-toc-container\" class=\"ez-toc-v2_0_89 counter-hierarchy ez-toc-counter ez-toc-grey ez-toc-container-direction\">\n<div class=\"ez-toc-title-container\">\n<p class=\"ez-toc-title\" style=\"cursor:inherit\">Table of Contents<\/p>\n<span class=\"ez-toc-title-toggle\"><a href=\"#\" class=\"ez-toc-pull-right ez-toc-btn ez-toc-btn-xs ez-toc-btn-default ez-toc-toggle\" aria-label=\"Toggle Table of Content\"><span class=\"ez-toc-js-icon-con\"><span class=\"\"><span class=\"eztoc-hide\" style=\"display:none;\">Toggle<\/span><span class=\"ez-toc-icon-toggle-span\"><svg style=\"fill: #999;color:#999\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" class=\"list-377408\" width=\"20px\" height=\"20px\" viewBox=\"0 0 24 24\" fill=\"none\"><path d=\"M6 6H4v2h2V6zm14 0H8v2h12V6zM4 11h2v2H4v-2zm16 0H8v2h12v-2zM4 16h2v2H4v-2zm16 0H8v2h12v-2z\" fill=\"currentColor\"><\/path><\/svg><svg style=\"fill: #999;color:#999\" class=\"arrow-unsorted-368013\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"10px\" height=\"10px\" viewBox=\"0 0 24 24\" version=\"1.2\" baseProfile=\"tiny\"><path d=\"M18.2 9.3l-6.2-6.3-6.2 6.3c-.2.2-.3.4-.3.7s.1.5.3.7c.2.2.4.3.7.3h11c.3 0 .5-.1.7-.3.2-.2.3-.5.3-.7s-.1-.5-.3-.7zM5.8 14.7l6.2 6.3 6.2-6.3c.2-.2.3-.5.3-.7s-.1-.5-.3-.7c-.2-.2-.4-.3-.7-.3h-11c-.3 0-.5.1-.7.3-.2.2-.3.5-.3.7s.1.5.3.7z\"\/><\/svg><\/span><\/span><\/span><\/a><\/span><\/div>\n<nav><ul class='ez-toc-list ez-toc-list-level-1 ' ><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-1\" href=\"https:\/\/predictleads.com\/blog\/technology-detection-api-find-companies-using-specific-technologies\/#What_Is_a_Technology_Detection_API\" >What Is a Technology Detection API?<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-2\" href=\"https:\/\/predictleads.com\/blog\/technology-detection-api-find-companies-using-specific-technologies\/#What_a_Technology_Detection_API_Is_Not\" >What a Technology Detection API Is Not<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-3\" href=\"https:\/\/predictleads.com\/blog\/technology-detection-api-find-companies-using-specific-technologies\/#Two_Ways_to_Query_a_Technology_Detection_API\" >Two Ways to Query a Technology Detection API<\/a><ul class='ez-toc-list-level-3' ><li class='ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-4\" href=\"https:\/\/predictleads.com\/blog\/technology-detection-api-find-companies-using-specific-technologies\/#Forward_Lookup_Company_to_Technologies\" >Forward Lookup: Company to Technologies<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-5\" href=\"https:\/\/predictleads.com\/blog\/technology-detection-api-find-companies-using-specific-technologies\/#Reverse_Lookup_Technology_to_Companies\" >Reverse Lookup: Technology to Companies<\/a><\/li><\/ul><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-6\" href=\"https:\/\/predictleads.com\/blog\/technology-detection-api-find-companies-using-specific-technologies\/#How_the_PredictLeads_Technology_Detection_API_Works\" >How the PredictLeads Technology Detection API Works<\/a><ul class='ez-toc-list-level-3' ><li class='ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-7\" href=\"https:\/\/predictleads.com\/blog\/technology-detection-api-find-companies-using-specific-technologies\/#Authentication_and_Requests\" >Authentication and Requests<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-8\" href=\"https:\/\/predictleads.com\/blog\/technology-detection-api-find-companies-using-specific-technologies\/#Key_Response_Fields\" >Key Response Fields<\/a><\/li><\/ul><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-9\" href=\"https:\/\/predictleads.com\/blog\/technology-detection-api-find-companies-using-specific-technologies\/#Example_Technology_Detection_API_Request_and_Response\" >Example Technology Detection API Request and Response<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-10\" href=\"https:\/\/predictleads.com\/blog\/technology-detection-api-find-companies-using-specific-technologies\/#Who_Uses_a_Technology_Detection_API\" >Who Uses a Technology Detection API<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-11\" href=\"https:\/\/predictleads.com\/blog\/technology-detection-api-find-companies-using-specific-technologies\/#Technology_Detection_API_Use_Cases\" >Technology Detection API Use Cases<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-12\" href=\"https:\/\/predictleads.com\/blog\/technology-detection-api-find-companies-using-specific-technologies\/#Why_Multi-Source_Detection_Matters\" >Why Multi-Source Detection Matters<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-13\" href=\"https:\/\/predictleads.com\/blog\/technology-detection-api-find-companies-using-specific-technologies\/#Technology_Detection_API_Delivery_Methods\" >Technology Detection API Delivery Methods<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-14\" href=\"https:\/\/predictleads.com\/blog\/technology-detection-api-find-companies-using-specific-technologies\/#How_PredictLeads_Delivers_Technology_Detection_Data\" >How PredictLeads Delivers Technology Detection Data<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-15\" href=\"https:\/\/predictleads.com\/blog\/technology-detection-api-find-companies-using-specific-technologies\/#Final_Thoughts_on_the_Technology_Detection_API\" >Final Thoughts on the Technology Detection API<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-16\" href=\"https:\/\/predictleads.com\/blog\/technology-detection-api-find-companies-using-specific-technologies\/#Ready_to_see_this_in_your_own_data\" >Ready to see this in your own data?<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-17\" href=\"https:\/\/predictleads.com\/blog\/technology-detection-api-find-companies-using-specific-technologies\/#Frequently_Asked_Questions\" >Frequently Asked Questions<\/a><ul class='ez-toc-list-level-3' ><li class='ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-18\" href=\"https:\/\/predictleads.com\/blog\/technology-detection-api-find-companies-using-specific-technologies\/#What_is_a_technology_detection_API\" >What is a technology detection API?<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-19\" href=\"https:\/\/predictleads.com\/blog\/technology-detection-api-find-companies-using-specific-technologies\/#How_do_I_find_companies_using_a_specific_technology_with_an_API\" >How do I find companies using a specific technology with an API?<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-20\" href=\"https:\/\/predictleads.com\/blog\/technology-detection-api-find-companies-using-specific-technologies\/#Does_a_technology_detection_mean_a_company_is_actively_using_that_tool_right_now\" >Does a technology detection mean a company is actively using that tool right now?<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-21\" href=\"https:\/\/predictleads.com\/blog\/technology-detection-api-find-companies-using-specific-technologies\/#What_is_the_difference_between_a_technology_detection_API_and_a_website_technology_scanner\" >What is the difference between a technology detection API and a website technology scanner?<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-22\" href=\"https:\/\/predictleads.com\/blog\/technology-detection-api-find-companies-using-specific-technologies\/#How_much_does_the_PredictLeads_Technology_Detection_API_cost_in_2026\" >How much does the PredictLeads Technology Detection API cost in 2026?<\/a><\/li><\/ul><\/li><\/ul><\/nav><\/div>\n<h2><span class=\"ez-toc-section\" id=\"What_Is_a_Technology_Detection_API\"><\/span>What Is a Technology Detection API?<span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n<p>A technology detection API is a programmatic interface that returns structured records showing which technologies a company&#8217;s public footprint provides evidence of using, instead of requiring someone to check a website by hand. Each record ties a company to a technology with a timestamp and a source, so a sales team, a data pipeline, or an AI agent can ask either side of the question: what does this company use, or who uses this technology.<\/p>\n\n<p>The PredictLeads Technology Detection API answers both, drawing on website script tags, DNS records, IP ranges, cookies, and job descriptions, five public evidence types that each catch a different part of a company&#8217;s stack. Technology detection is the mechanism behind what PredictLeads calls <a href=\"https:\/\/predictleads.com\/blog\/technographic-data\/\">technographic data<\/a>, and PredictLeads has logged 2B+ of these detections since 2018, covering 240,000+ tracked technologies across 99M+ companies.<\/p>\n\n<h2><span class=\"ez-toc-section\" id=\"What_a_Technology_Detection_API_Is_Not\"><\/span>What a Technology Detection API Is Not<span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n<p>A technology detection API is not a website scanner that only reads what loads in a browser. Script tags and page code catch frontend tools such as analytics and chat widgets, but they miss a data warehouse, an ERP system, or a CRM a company&#8217;s sales team adopted last quarter.<\/p>\n\n<p>A detection also is not confirmation that a tool is installed and running today. It is evidence that the technology appeared in a public signal as of its <code>last_seen_at<\/code> date. If a detection stops appearing, the fair framing is that the technology is &#8220;no longer detected,&#8221; since a script change, a recrawl gap, or a signature update can all cause the same gap without the company actually removing anything.<\/p>\n\n<p>Finally, a technology detection API is not a contact or people database. PredictLeads records what a company shows evidence of using at the company level, not personal emails or phone numbers.<\/p>\n\n<h2><span class=\"ez-toc-section\" id=\"Two_Ways_to_Query_a_Technology_Detection_API\"><\/span>Two Ways to Query a Technology Detection API<span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n<p>A technology detection API answers two distinct questions, and knowing which one you are asking determines the endpoint you call.<\/p>\n\n<h3><span class=\"ez-toc-section\" id=\"Forward_Lookup_Company_to_Technologies\"><\/span>Forward Lookup: Company to Technologies<span class=\"ez-toc-section-end\"><\/span><\/h3>\n\n<p>Start with a company domain when you already have an account in mind, for example during enrichment or ahead of a renewal conversation. The PredictLeads endpoint <code>GET \/companies\/{company_id_or_domain}\/technology_detections<\/code> returns every technology that company shows evidence of using, each with its own <code>first_seen_at<\/code> and <code>last_seen_at<\/code>. For the full walkthrough of this pattern, see <a href=\"https:\/\/predictleads.com\/blog\/detect-company-technology-stack\/\">how to detect a company&#8217;s technology stack<\/a>.<\/p>\n\n<h3><span class=\"ez-toc-section\" id=\"Reverse_Lookup_Technology_to_Companies\"><\/span>Reverse Lookup: Technology to Companies<span class=\"ez-toc-section-end\"><\/span><\/h3>\n\n<p>Start with a technology name when you want a list of accounts instead of one profile, for example to find every company that shows evidence of using a specific tool. The endpoint <code>GET \/discover\/technologies\/{technology_id_or_fuzzy_name}\/technology_detections<\/code>, ordered by <code>first_seen_at<\/code> descending, returns companies tied to that technology. For the workflow on filtering that list by recency and expanding it with lookalikes, see <a href=\"https:\/\/predictleads.com\/blog\/find-companies-using-technology\/\">how to find every company using a technology by name<\/a>.<\/p>\n\n<table style=\"width:100%;border-collapse:collapse;margin:20px 0;\">\n<thead>\n<tr style=\"background:#76508e;color:#ffffff;\">\n<th style=\"padding:10px;text-align:left;border:1px solid #ece0f5;\">Query Direction<\/th>\n<th style=\"padding:10px;text-align:left;border:1px solid #ece0f5;\">You Start With<\/th>\n<th style=\"padding:10px;text-align:left;border:1px solid #ece0f5;\">Endpoint<\/th>\n<th style=\"padding:10px;text-align:left;border:1px solid #ece0f5;\">Best For<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr style=\"background:#ffffff;\">\n<td style=\"padding:10px;border:1px solid #ece0f5;\">Forward<\/td>\n<td style=\"padding:10px;border:1px solid #ece0f5;\">A company domain<\/td>\n<td style=\"padding:10px;border:1px solid #ece0f5;\"><code>GET \/companies\/{domain}\/technology_detections<\/code><\/td>\n<td style=\"padding:10px;border:1px solid #ece0f5;\">Account research, renewal timing, enrichment<\/td>\n<\/tr>\n<tr style=\"background:#f3ecf8;\">\n<td style=\"padding:10px;border:1px solid #ece0f5;\">Reverse<\/td>\n<td style=\"padding:10px;border:1px solid #ece0f5;\">A technology name or ID<\/td>\n<td style=\"padding:10px;border:1px solid #ece0f5;\"><code>GET \/discover\/technologies\/{technology_id_or_fuzzy_name}\/technology_detections<\/code><\/td>\n<td style=\"padding:10px;border:1px solid #ece0f5;\">Competitor displacement, integration targeting, market sizing<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n\n<p>A third endpoint, <code>GET \/extended_technology_detections\/{id}<\/code>, pulls the full detail behind a single detection, including which subpage, job opening, or DNS record it came from.<\/p>\n\n<figure style=\"margin:28px 0;\">\n<svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" viewBox=\"0 0 900 300\" width=\"100%\" role=\"img\" aria-labelledby=\"flow-title flow-desc\" style=\"max-width:900px;height:auto;display:block;\">\n<title id=\"flow-title\">How to find companies using a technology<\/title>\n<desc id=\"flow-desc\">Three step flow. Step 1: search by technology name. Step 2: review the list of detections found, each with a company, a source, and a timestamp. Step 3: prioritize the list by recency, source count, and behind-firewall status.<\/desc>\n<g font-family=\"'Poppins','Segoe UI',system-ui,sans-serif\">\n<rect x=\"0\" y=\"0\" width=\"900\" height=\"300\" rx=\"18\" fill=\"#f3ecf8\"\/>\n<text x=\"30\" y=\"46\" font-size=\"24\" font-weight=\"800\" font-style=\"italic\" fill=\"#76508e\">Find companies using a technology<\/text>\n<rect x=\"30\" y=\"80\" width=\"250\" height=\"180\" rx=\"16\" fill=\"#ffffff\" stroke=\"#ece0f5\" stroke-width=\"2\"\/>\n<circle cx=\"70\" cy=\"120\" r=\"20\" fill=\"#76508e\"\/>\n<text x=\"70\" y=\"127\" text-anchor=\"middle\" font-size=\"18\" font-weight=\"800\" fill=\"#ffffff\">1<\/text>\n<text x=\"100\" y=\"126\" font-size=\"16\" font-weight=\"700\" fill=\"#3a2f4d\">Search by<\/text>\n<text x=\"100\" y=\"146\" font-size=\"16\" font-weight=\"700\" fill=\"#3a2f4d\">technology name<\/text>\n<text x=\"50\" y=\"182\" font-size=\"13\" font-weight=\"600\" fill=\"#4a3159\">Query the discover<\/text>\n<text x=\"50\" y=\"200\" font-size=\"13\" font-weight=\"600\" fill=\"#4a3159\">endpoint by name or ID,<\/text>\n<text x=\"50\" y=\"218\" font-size=\"13\" font-weight=\"600\" fill=\"#4a3159\">for example &#8220;salesforce&#8221;.<\/text>\n<path d=\"M290 170 L330 170\" stroke=\"#9a78b0\" stroke-width=\"4\" marker-end=\"url(#plarrow)\"\/>\n<rect x=\"330\" y=\"80\" width=\"250\" height=\"180\" rx=\"16\" fill=\"#ffffff\" stroke=\"#ece0f5\" stroke-width=\"2\"\/>\n<circle cx=\"370\" cy=\"120\" r=\"20\" fill=\"#76508e\"\/>\n<text x=\"370\" y=\"127\" text-anchor=\"middle\" font-size=\"18\" font-weight=\"800\" fill=\"#ffffff\">2<\/text>\n<text x=\"400\" y=\"126\" font-size=\"16\" font-weight=\"700\" fill=\"#3a2f4d\">Review the<\/text>\n<text x=\"400\" y=\"146\" font-size=\"16\" font-weight=\"700\" fill=\"#3a2f4d\">detections found<\/text>\n<text x=\"350\" y=\"182\" font-size=\"13\" font-weight=\"600\" fill=\"#4a3159\">Each result includes a<\/text>\n<text x=\"350\" y=\"200\" font-size=\"13\" font-weight=\"600\" fill=\"#4a3159\">company, a source, and<\/text>\n<text x=\"350\" y=\"218\" font-size=\"13\" font-weight=\"600\" fill=\"#4a3159\">first_seen_at \/ last_seen_at.<\/text>\n<path d=\"M590 170 L630 170\" stroke=\"#9a78b0\" stroke-width=\"4\" marker-end=\"url(#plarrow)\"\/>\n<rect x=\"630\" y=\"80\" width=\"250\" height=\"180\" rx=\"16\" fill=\"#ffffff\" stroke=\"#ece0f5\" stroke-width=\"2\"\/>\n<circle cx=\"670\" cy=\"120\" r=\"20\" fill=\"#76508e\"\/>\n<text x=\"670\" y=\"127\" text-anchor=\"middle\" font-size=\"18\" font-weight=\"800\" fill=\"#ffffff\">3<\/text>\n<text x=\"700\" y=\"126\" font-size=\"16\" font-weight=\"700\" fill=\"#3a2f4d\">Prioritize the<\/text>\n<text x=\"700\" y=\"146\" font-size=\"16\" font-weight=\"700\" fill=\"#3a2f4d\">list<\/text>\n<text x=\"650\" y=\"182\" font-size=\"13\" font-weight=\"600\" fill=\"#4a3159\">Rank by recency,<\/text>\n<text x=\"650\" y=\"200\" font-size=\"13\" font-weight=\"600\" fill=\"#4a3159\">source_count, and<\/text>\n<text x=\"650\" y=\"218\" font-size=\"13\" font-weight=\"600\" fill=\"#4a3159\">behind_firewall status.<\/text>\n<defs>\n<marker id=\"plarrow\" markerWidth=\"10\" markerHeight=\"10\" refX=\"8\" refY=\"5\" orient=\"auto\">\n<path d=\"M0,0 L10,5 L0,10 Z\" fill=\"#9a78b0\"\/>\n<\/marker>\n<\/defs>\n<\/g>\n<\/svg>\n<figcaption style=\"font-size:13px;color:#3a2f4d;margin-top:8px;\">The reverse-lookup pattern: search by technology name, review the detections returned, then prioritize by recency and source strength.<\/figcaption>\n<\/figure>\n\n<h2><span class=\"ez-toc-section\" id=\"How_the_PredictLeads_Technology_Detection_API_Works\"><\/span>How the PredictLeads Technology Detection API Works<span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n<h3><span class=\"ez-toc-section\" id=\"Authentication_and_Requests\"><\/span>Authentication and Requests<span class=\"ez-toc-section-end\"><\/span><\/h3>\n\n<p>The API sits at <code>https:\/\/predictleads.com\/api\/v3<\/code> and supports three authentication methods: HTTP headers (<code>X-Api-Key<\/code> and <code>X-Api-Token<\/code>, the recommended method), HTTP Basic Auth, or query parameters. PredictLeads also supports OAuth2, including an <a href=\"https:\/\/oauth.net\/2\/grant-types\/client-credentials\/\" target=\"_blank\" rel=\"noopener\">OAuth 2.0 Client Credentials flow<\/a> for server-to-server calls. Credentials are issued on the subscription page after you sign up and verify your email. Responses follow the <a href=\"https:\/\/jsonapi.org\/\" target=\"_blank\" rel=\"noopener\">JSON API specification<\/a>, and the rate limit is 60 requests per second, with a 429 response and a Retry-After header if you exceed it.<\/p>\n\n<h3><span class=\"ez-toc-section\" id=\"Key_Response_Fields\"><\/span>Key Response Fields<span class=\"ez-toc-section-end\"><\/span><\/h3>\n\n<p>Every detection carries <code>first_seen_at<\/code> and <code>last_seen_at<\/code> timestamps, a <code>score<\/code>, and a <code>source_count<\/code> showing how many independent signals back it. The <code>behind_firewall<\/code> field is a boolean: false means the detection came from something visible on the company&#8217;s website, such as a script tag or HTML. Extended Technology Detections add <code>detection_source<\/code> and <code>detection_source_type<\/code>, for example <code>script_src<\/code>, <code>cookies<\/code>, <code>headers<\/code>, or <code>dom<\/code>, plus <code>department_onet_codes<\/code> when the source is a job description.<\/p>\n\n<p>If a technology stops showing up in new detections, treat it as no longer detected rather than removed. A missing signal can mean a script changed, a recrawl has not run yet, or a fingerprint updated, not that the company dropped the tool.<\/p>\n\n<h2><span class=\"ez-toc-section\" id=\"Example_Technology_Detection_API_Request_and_Response\"><\/span>Example Technology Detection API Request and Response<span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n<p>A reverse lookup for a specific technology looks like this:<\/p>\n\n<pre style=\"background:#f8f5fb;border:1px solid #ece0f5;border-radius:10px;padding:16px;overflow-x:auto;font-family:'Courier New',monospace;font-size:13px;color:#3a2f4d;\">curl --request GET \n     --url https:\/\/predictleads.com\/api\/v3\/discover\/technologies\/salesforce\/technology_detections \n     --header 'X-Api-Key: {your_api_key}' \n     --header 'X-Api-Token: {your_api_token}'<\/pre>\n\n<p>Each result in the response ties a technology record to a company record, with attributes shaped roughly like this (simplified for readability):<\/p>\n\n<pre style=\"background:#f8f5fb;border:1px solid #ece0f5;border-radius:10px;padding:16px;overflow-x:auto;font-family:'Courier New',monospace;font-size:13px;color:#3a2f4d;\">{\n  \"technology\": { \"name\": \"Salesforce\", \"category\": \"sales\" },\n  \"company\": { \"domain\": \"example.com\", \"name\": \"Example Inc.\" },\n  \"first_seen_at\": \"2026-02-11\",\n  \"last_seen_at\": \"2026-10-03\",\n  \"behind_firewall\": true,\n  \"source_count\": 2,\n  \"score\": 0.91\n}<\/pre>\n\n<p>A <code>behind_firewall<\/code> value of true here means the detection came from a source other than the public website, most often a job description naming Salesforce as a required skill, which is why enterprise CRM, data warehouse, and ERP tools show up more often behind the firewall than in page code alone. Paginate with the <code>page<\/code> parameter for lists beyond the first page, and the discovery endpoint typically uses about 1 credit per record returned. You can also test requests directly in the <a href=\"https:\/\/docs.predictleads.com\/swagger\" target=\"_blank\" rel=\"noopener\">SwaggerUI playground<\/a> before writing any code.<\/p>\n\n<h2><span class=\"ez-toc-section\" id=\"Who_Uses_a_Technology_Detection_API\"><\/span>Who Uses a Technology Detection API<span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n<p>Four groups query technology detection data for different reasons:<\/p>\n<ul>\n<li><strong>GTM and sales teams:<\/strong> build prioritized lists for competitor displacement, integration-fit targeting, and personalized outreach.<\/li>\n<li><strong>Developers and data teams:<\/strong> pipe detections into a lead-scoring model, a CRM enrichment job, or a data warehouse table.<\/li>\n<li><strong>Market intelligence and competitive intelligence analysts:<\/strong> track adoption trends across a category or a competitor&#8217;s customer base over time.<\/li>\n<li><strong>AI agents:<\/strong> query the same data conversationally through <a href=\"https:\/\/docs.predictleads.com\/mcp_integration\/introduction\" target=\"_blank\" rel=\"noopener\">MCP<\/a>, the pattern covered in our <a href=\"https:\/\/predictleads.com\/blog\/company-intelligence-api-comparison\/\">comparison of company data APIs for AI agents<\/a>, for example asking an agent to &#8220;find 10 companies using HubSpot&#8221; instead of writing a custom integration.<\/li>\n<\/ul>\n\n<h2><span class=\"ez-toc-section\" id=\"Technology_Detection_API_Use_Cases\"><\/span>Technology Detection API Use Cases<span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n<p>A reverse lookup by technology name supports several concrete plays:<\/p>\n<ul>\n<li><strong>Competitor displacement:<\/strong> find companies showing evidence of using a competitor&#8217;s product, then prioritize by how recently the detection first appeared.<\/li>\n<li><strong>Integration-fit targeting:<\/strong> find companies using a tool your product integrates with, so the pitch starts from a real technical fit.<\/li>\n<li><strong>Account scoring:<\/strong> feed technology detections, alongside Job Openings and News Events, into a scoring model instead of relying on a single signal.<\/li>\n<li><strong>CRM and warehouse enrichment:<\/strong> attach technology fields to existing account records on a schedule instead of researching one company at a time.<\/li>\n<li><strong>Market adoption tracking:<\/strong> watch how many companies in a category show evidence of adopting a technology over a given period.<\/li>\n<\/ul>\n\n<h2><span class=\"ez-toc-section\" id=\"Why_Multi-Source_Detection_Matters\"><\/span>Why Multi-Source Detection Matters<span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n<p>Script tags alone miss most of what matters to a sales team. A content management system or a chat widget loads in the browser, but a data warehouse, an ERP system, and plenty of CRM deployments run entirely behind the login screen, where a scanner never reaches. PredictLeads closes that gap with five independent sources: website script tags, DNS records, IP ranges, cookies, and job descriptions. For the full breakdown of each method, see <a href=\"https:\/\/predictleads.com\/blog\/technographic-data-collection-methods\/\">how technographic data is collected<\/a>.<\/p>\n\n<p>Job descriptions carry the most weight for enterprise tools specifically. A company hiring a &#8220;Snowflake-certified data engineer&#8221; is stronger supporting evidence of a Snowflake deployment than a public script could ever be, since the tool itself produces no public page code. Combining sources also raises confidence: a detection backed by both a DNS record and a job description, reflected in <code>source_count<\/code>, is harder to explain away than either signal alone.<\/p>\n\n<figure style=\"margin:28px 0;\">\n<svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" viewBox=\"0 0 900 240\" width=\"100%\" role=\"img\" aria-labelledby=\"stats-title stats-desc\" style=\"max-width:900px;height:auto;display:block;\">\n<title id=\"stats-title\">Technology detection API by the numbers<\/title>\n<desc id=\"stats-desc\">Four stat tiles. 240,000 plus technologies tracked. 2 billion plus detections since 2018. 99 million plus companies with technology data. Five independent detection sources: website script tags, DNS records, IP ranges, cookies, and job descriptions.<\/desc>\n<g font-family=\"'Poppins','Segoe UI',system-ui,sans-serif\">\n<rect x=\"0\" y=\"0\" width=\"900\" height=\"240\" rx=\"18\" fill=\"#f3ecf8\"\/>\n<text x=\"30\" y=\"40\" font-size=\"22\" font-weight=\"800\" font-style=\"italic\" fill=\"#76508e\">Technology Detection API, by the numbers<\/text>\n<rect x=\"30\" y=\"64\" width=\"195\" height=\"150\" rx=\"14\" fill=\"#ffffff\" stroke=\"#ece0f5\" stroke-width=\"2\"\/>\n<text x=\"127\" y=\"130\" text-anchor=\"middle\" font-size=\"30\" font-weight=\"800\" fill=\"#76508e\">240,000+<\/text>\n<text x=\"127\" y=\"160\" text-anchor=\"middle\" font-size=\"13\" font-weight=\"700\" fill=\"#3a2f4d\">Technologies<\/text>\n<text x=\"127\" y=\"178\" text-anchor=\"middle\" font-size=\"13\" font-weight=\"700\" fill=\"#3a2f4d\">tracked<\/text>\n<rect x=\"240\" y=\"64\" width=\"195\" height=\"150\" rx=\"14\" fill=\"#ffffff\" stroke=\"#ece0f5\" stroke-width=\"2\"\/>\n<text x=\"337\" y=\"130\" text-anchor=\"middle\" font-size=\"30\" font-weight=\"800\" fill=\"#76508e\">2B+<\/text>\n<text x=\"337\" y=\"160\" text-anchor=\"middle\" font-size=\"13\" font-weight=\"700\" fill=\"#3a2f4d\">Detections since<\/text>\n<text x=\"337\" y=\"178\" text-anchor=\"middle\" font-size=\"13\" font-weight=\"700\" fill=\"#3a2f4d\">2018<\/text>\n<rect x=\"450\" y=\"64\" width=\"195\" height=\"150\" rx=\"14\" fill=\"#ffffff\" stroke=\"#ece0f5\" stroke-width=\"2\"\/>\n<text x=\"547\" y=\"130\" text-anchor=\"middle\" font-size=\"30\" font-weight=\"800\" fill=\"#76508e\">99M+<\/text>\n<text x=\"547\" y=\"160\" text-anchor=\"middle\" font-size=\"13\" font-weight=\"700\" fill=\"#3a2f4d\">Companies with<\/text>\n<text x=\"547\" y=\"178\" text-anchor=\"middle\" font-size=\"13\" font-weight=\"700\" fill=\"#3a2f4d\">technology data<\/text>\n<rect x=\"660\" y=\"64\" width=\"210\" height=\"150\" rx=\"14\" fill=\"#ffffff\" stroke=\"#ece0f5\" stroke-width=\"2\"\/>\n<text x=\"765\" y=\"130\" text-anchor=\"middle\" font-size=\"30\" font-weight=\"800\" fill=\"#76508e\">5<\/text>\n<text x=\"765\" y=\"160\" text-anchor=\"middle\" font-size=\"13\" font-weight=\"700\" fill=\"#3a2f4d\">Independent<\/text>\n<text x=\"765\" y=\"178\" text-anchor=\"middle\" font-size=\"13\" font-weight=\"700\" fill=\"#3a2f4d\">detection sources<\/text>\n<\/g>\n<\/svg>\n<figcaption style=\"font-size:13px;color:#3a2f4d;margin-top:8px;\">PredictLeads Technology Detections scale, as of October 2026.<\/figcaption>\n<\/figure>\n\n<h2><span class=\"ez-toc-section\" id=\"Technology_Detection_API_Delivery_Methods\"><\/span>Technology Detection API Delivery Methods<span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n<p>The data behind a technology detection API does not have to arrive one request at a time.<\/p>\n\n<table style=\"width:100%;border-collapse:collapse;margin:20px 0;\">\n<thead>\n<tr style=\"background:#76508e;color:#ffffff;\">\n<th style=\"padding:10px;text-align:left;border:1px solid #ece0f5;\">Delivery Method<\/th>\n<th style=\"padding:10px;text-align:left;border:1px solid #ece0f5;\">How It Works<\/th>\n<th style=\"padding:10px;text-align:left;border:1px solid #ece0f5;\">Best For<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr style=\"background:#ffffff;\">\n<td style=\"padding:10px;border:1px solid #ece0f5;\">API<\/td>\n<td style=\"padding:10px;border:1px solid #ece0f5;\">On-demand requests against company and discover endpoints<\/td>\n<td style=\"padding:10px;border:1px solid #ece0f5;\">Real-time lookups, enrichment at request time<\/td>\n<\/tr>\n<tr style=\"background:#f3ecf8;\">\n<td style=\"padding:10px;border:1px solid #ece0f5;\">Flat files<\/td>\n<td style=\"padding:10px;border:1px solid #ece0f5;\">Bulk JSONL delivery to S3, Google Cloud Storage, or SFTP<\/td>\n<td style=\"padding:10px;border:1px solid #ece0f5;\">Warehouse loads, backfills, large-scale analysis<\/td>\n<\/tr>\n<tr style=\"background:#ffffff;\">\n<td style=\"padding:10px;border:1px solid #ece0f5;\">Webhooks<\/td>\n<td style=\"padding:10px;border:1px solid #ece0f5;\">A push notification when a new detection appears for a followed company<\/td>\n<td style=\"padding:10px;border:1px solid #ece0f5;\">Trigger-based alerting workflows<\/td>\n<\/tr>\n<tr style=\"background:#f3ecf8;\">\n<td style=\"padding:10px;border:1px solid #ece0f5;\">MCP<\/td>\n<td style=\"padding:10px;border:1px solid #ece0f5;\">Natural-language queries through mcp.predictleads.com<\/td>\n<td style=\"padding:10px;border:1px solid #ece0f5;\">AI agent workflows, conversational data access<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n\n<p>Flat files and webhooks are arranged through the sales team, while the API and MCP are self-serve. For a full comparison of when each method fits a given workflow, see <a href=\"https:\/\/predictleads.com\/blog\/company-data-api-flat-files-webhooks-mcp\/\">company data API vs. flat files vs. webhooks vs. MCP<\/a>.<\/p>\n\n<h2><span class=\"ez-toc-section\" id=\"How_PredictLeads_Delivers_Technology_Detection_Data\"><\/span>How PredictLeads Delivers Technology Detection Data<span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n<p>PredictLeads has logged 2B+ Technology Detections since 2018, covering 240,000+ tracked technologies across 99M+ companies in 195 countries. Every record carries <code>first_seen_at<\/code>, <code>last_seen_at<\/code>, a <code>score<\/code>, and a <code>source_count<\/code>, and Extended Technology Detections add <code>detection_source<\/code>, <code>detection_source_type<\/code>, and the subpage, job opening, or DNS record each detection came from, so nothing arrives as an unexplained flag.<\/p>\n\n<p>The same API that returns technology detections also returns Job Openings (279.2M+ records since 2018), News Events (10M+ since 2016), Financing Events (210,800+ since 2016), and Connections (371.8M+ since 2019), so a technology signal does not have to stand alone. A company that shows evidence of adopting a new data platform while hiring for it in the same quarter is stronger supporting evidence than either dataset checked alone.<\/p>\n\n<p>Delivery runs through API, flat files, webhooks, and MCP, and every dataset is collected from public sources only, under SOC 2 Type II certification and GDPR and CCPA compliance.<\/p>\n\n<h2><span class=\"ez-toc-section\" id=\"Final_Thoughts_on_the_Technology_Detection_API\"><\/span>Final Thoughts on the Technology Detection API<span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n<p>A technology detection API only pays off when you treat a detection as evidence, not a certainty, and when you query it from whichever direction the question actually starts: company first, or technology first. Pair it with the hiring, funding, and news signals already in the same API, and a single detection becomes part of a timed account list instead of an isolated data point. If you are comparing this approach against a single-source scanner, see how PredictLeads compares to <a href=\"https:\/\/predictleads.com\/blog\/best-wappalyzer-alternatives\/\">Wappalyzer<\/a>, <a href=\"https:\/\/predictleads.com\/blog\/best-builtwith-alternatives\/\">BuiltWith<\/a>, <a href=\"https:\/\/predictleads.com\/blog\/similartech-alternatives\/\">SimilarTech<\/a>, and <a href=\"https:\/\/predictleads.com\/blog\/theirstack-alternatives\/\">TheirStack<\/a>, or see the full field-by-field case for the category in our guide to the <a href=\"https:\/\/predictleads.com\/blog\/technographic-data-providers\/\">best technographic data providers<\/a>.<\/p>\n\n<div style=\"background:#f3ecf8;border:1px solid #ece0f5;border-radius:14px;padding:24px 28px;margin:32px 0;\">\n<h2 style=\"margin-top:0;color:#76508e;\"><span class=\"ez-toc-section\" id=\"Ready_to_see_this_in_your_own_data\"><\/span>Ready to see this in your own data?<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p style=\"margin-bottom:0;\">Get 100 free API requests per month &#8211; no credit card, no sales call. <a href=\"https:\/\/predictleads.com\/sign_up?utm_source=blog&amp;utm_medium=cta&amp;utm_campaign=technology-detection-api-find-companies-using-specific-technologies\"><strong>Start free &rarr;<\/strong><\/a><\/p>\n<\/div>\n\n<h2><span class=\"ez-toc-section\" id=\"Frequently_Asked_Questions\"><\/span>Frequently Asked Questions<span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n<h3><span class=\"ez-toc-section\" id=\"What_is_a_technology_detection_API\"><\/span>What is a technology detection API?<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p>A technology detection API is a programmatic interface that returns structured, timestamped records of which technologies a company&#8217;s public footprint provides evidence of using. Instead of opening a website and checking the page source, you call an endpoint and get a company-to-technology or technology-to-company list back as data. PredictLeads builds its Technology Detection API from five sources, website script tags, DNS records, IP ranges, cookies, and job descriptions, across 2B+ detections logged since 2018.<\/p>\n\n<h3><span class=\"ez-toc-section\" id=\"How_do_I_find_companies_using_a_specific_technology_with_an_API\"><\/span>How do I find companies using a specific technology with an API?<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p>Call the reverse-lookup endpoint, <code>GET \/discover\/technologies\/{technology_id_or_fuzzy_name}\/technology_detections<\/code>, with the technology&#8217;s name or ID, and the response returns companies tied to that technology, ordered by <code>first_seen_at<\/code> descending. This is the pattern for competitor displacement and integration-fit lists, since you start from the technology rather than a single account. PredictLeads covers this across 240,000+ technologies and 99M+ companies.<\/p>\n\n<h3><span class=\"ez-toc-section\" id=\"Does_a_technology_detection_mean_a_company_is_actively_using_that_tool_right_now\"><\/span>Does a technology detection mean a company is actively using that tool right now?<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p>Not by itself. A detection means the technology appeared in a public signal, such as a script tag, a DNS record, or a job description, as of its <code>last_seen_at<\/code> date, which is evidence of use rather than confirmation of an active, running install. If the detection stops appearing, the accurate description is &#8220;no longer detected,&#8221; since a script change, a recrawl gap, or a signature update can produce the same gap without the company removing the tool.<\/p>\n\n<h3><span class=\"ez-toc-section\" id=\"What_is_the_difference_between_a_technology_detection_API_and_a_website_technology_scanner\"><\/span>What is the difference between a technology detection API and a website technology scanner?<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p>A website scanner, including most browser extensions, reads only what a page exposes in its code, headers, and cookies, which covers frontend tools well but misses backend systems with no public footprint. A technology detection API that also reads DNS records, IP ranges, and job descriptions catches enterprise tools, such as a CRM or a data warehouse, that a scanner alone would miss. PredictLeads flags this directly with a <code>behind_firewall<\/code> field on every detection.<\/p>\n\n<h3><span class=\"ez-toc-section\" id=\"How_much_does_the_PredictLeads_Technology_Detection_API_cost_in_2026\"><\/span>How much does the PredictLeads Technology Detection API cost in 2026?<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p>PredictLeads offers 100 free API requests per month with no credit card required, and paid usage runs on a pay-as-you-go, volume-based model with a $40 minimum monthly charge once you exceed the free tier. The discovery endpoint used for reverse lookups typically costs about 1 credit per record returned. Flat files, webhooks, and enterprise volume pricing are arranged through the sales team.<\/p>\n\n<script type=\"application\/ld+json\">\n{\n  \"@context\": \"https:\/\/schema.org\",\n  \"@type\": \"BlogPosting\",\n  \"headline\": \"Technology Detection API: How to Find Companies Using Specific Technologies (October 2026)\",\n  \"description\": \"Technology detection API guide for October 2026: find companies using a specific technology, with endpoints, fields, and 2B+ detections logged since 2018.\",\n  \"datePublished\": \"2024-08-21\",\n  \"dateModified\": \"2026-10-21\",\n  \"author\": {\n    \"@type\": \"Organization\",\n    \"name\": \"PredictLeads\",\n    \"url\": \"https:\/\/predictleads.com\"\n  },\n  \"publisher\": {\n    \"@type\": \"Organization\",\n    \"name\": \"PredictLeads\",\n    \"url\": \"https:\/\/predictleads.com\"\n  },\n  \"url\": \"https:\/\/predictleads.com\/blog\/technology-detection-api-find-companies-using-specific-technologies\/\",\n  \"mainEntityOfPage\": \"https:\/\/predictleads.com\/blog\/technology-detection-api-find-companies-using-specific-technologies\/\",\n  \"wordCount\": 2450,\n  \"keywords\": [\n    \"technology detection api\",\n    \"find companies using a specific technology\",\n    \"technographic data api\",\n    \"company technology stack api\",\n    \"technology detections dataset\",\n    \"behind_firewall technology detection\",\n    \"reverse technology lookup api\"\n  ]\n}\n<\/script>\n\n<script type=\"application\/ld+json\">\n{\n  \"@context\": \"https:\/\/schema.org\",\n  \"@type\": \"FAQPage\",\n  \"mainEntity\": [\n    {\n      \"@type\": \"Question\",\n      \"name\": \"What is a technology detection API?\",\n      \"acceptedAnswer\": {\n        \"@type\": \"Answer\",\n        \"text\": \"A technology detection API is a programmatic interface that returns structured, timestamped records of which technologies a company's public footprint provides evidence of using. Instead of opening a website and checking the page source, you call an endpoint and get a company-to-technology or technology-to-company list back as data. PredictLeads builds its Technology Detection API from five sources, website script tags, DNS records, IP ranges, cookies, and job descriptions, across 2B+ detections logged since 2018.\"\n      }\n    },\n    {\n      \"@type\": \"Question\",\n      \"name\": \"How do I find companies using a specific technology with an API?\",\n      \"acceptedAnswer\": {\n        \"@type\": \"Answer\",\n        \"text\": \"Call the reverse-lookup endpoint, GET \/discover\/technologies\/{technology_id_or_fuzzy_name}\/technology_detections, with the technology's name or ID, and the response returns companies tied to that technology, ordered by first_seen_at descending. This is the pattern for competitor displacement and integration-fit lists, since you start from the technology rather than a single account. PredictLeads covers this across 240,000+ technologies and 99M+ companies.\"\n      }\n    },\n    {\n      \"@type\": \"Question\",\n      \"name\": \"Does a technology detection mean a company is actively using that tool right now?\",\n      \"acceptedAnswer\": {\n        \"@type\": \"Answer\",\n        \"text\": \"Not by itself. A detection means the technology appeared in a public signal, such as a script tag, a DNS record, or a job description, as of its last_seen_at date, which is evidence of use rather than confirmation of an active, running install. If the detection stops appearing, the accurate description is no longer detected, since a script change, a recrawl gap, or a signature update can produce the same gap without the company removing the tool.\"\n      }\n    },\n    {\n      \"@type\": \"Question\",\n      \"name\": \"What is the difference between a technology detection API and a website technology scanner?\",\n      \"acceptedAnswer\": {\n        \"@type\": \"Answer\",\n        \"text\": \"A website scanner, including most browser extensions, reads only what a page exposes in its code, headers, and cookies, which covers frontend tools well but misses backend systems with no public footprint. A technology detection API that also reads DNS records, IP ranges, and job descriptions catches enterprise tools, such as a CRM or a data warehouse, that a scanner alone would miss. PredictLeads flags this directly with a behind_firewall field on every detection.\"\n      }\n    },\n    {\n      \"@type\": \"Question\",\n      \"name\": \"How much does the PredictLeads Technology Detection API cost in 2026?\",\n      \"acceptedAnswer\": {\n        \"@type\": \"Answer\",\n        \"text\": \"PredictLeads offers 100 free API requests per month with no credit card required, and paid usage runs on a pay-as-you-go, volume-based model with a $40 minimum monthly charge once you exceed the free tier. The discovery endpoint used for reverse lookups typically costs about 1 credit per record returned. Flat files, webhooks, and enterprise volume pricing are arranged through the sales team.\"\n      }\n    },\n    {\n      \"@type\": \"Question\",\n      \"name\": \"What fields does a Technology Detections API response include?\",\n      \"acceptedAnswer\": {\n        \"@type\": \"Answer\",\n        \"text\": \"Each response includes first_seen_at, last_seen_at, score, source_count, and a behind_firewall boolean, alongside references to the company and technology records involved. Extended Technology Detections add detection_source and detection_source_type, such as script_src, cookies, headers, or dom, plus subpage, job opening, or DNS record detail. These fields let you trend a detection over time instead of treating it as a single flag.\"\n      }\n    },\n    {\n      \"@type\": \"Question\",\n      \"name\": \"What does the behind_firewall field mean in a technology detection API response?\",\n      \"acceptedAnswer\": {\n        \"@type\": \"Answer\",\n        \"text\": \"behind_firewall is a boolean where false means the detection came from something visible on the company's public website, such as a script tag or HTML element. A value of true means the detection came from another source, most often a job description, which matters for enterprise tools such as Salesforce or Snowflake that rarely appear in page code. This field is one reason job-description detection improves match rates for backend and infrastructure technologies.\"\n      }\n    },\n    {\n      \"@type\": \"Question\",\n      \"name\": \"Can I use a technology detection API to find companies that recently switched technologies?\",\n      \"acceptedAnswer\": {\n        \"@type\": \"Answer\",\n        \"text\": \"A technology detection API alone shows when a detection first and last appeared, so a technology that stops showing up after previously detecting consistently is a candidate for a switch, not confirmed proof of one. Treat it as no longer detected and look for a second signal, such as a new technology detection or a related job posting, before treating it as a transition. PredictLeads customers compare first_seen_at and last_seen_at trends across the Technology Detections dataset for this kind of analysis.\"\n      }\n    },\n    {\n      \"@type\": \"Question\",\n      \"name\": \"What is the difference between the Technology Detections API and flat file delivery?\",\n      \"acceptedAnswer\": {\n        \"@type\": \"Answer\",\n        \"text\": \"The API returns technology detections on demand, one request at a time, which suits real-time enrichment and app features. Flat files deliver the same underlying detections in bulk, typically as JSONL, to a destination such as Amazon S3, Google Cloud Storage, or SFTP, which suits warehouse loads and large backfills. PredictLeads offers both, so the delivery method can change as a workflow matures without switching data providers.\"\n      }\n    },\n    {\n      \"@type\": \"Question\",\n      \"name\": \"How do AI agents query technology detection data through MCP?\",\n      \"acceptedAnswer\": {\n        \"@type\": \"Answer\",\n        \"text\": \"An AI agent connects to mcp.predictleads.com and asks a question in natural language, such as find 10 companies using HubSpot or find companies using Salesforce hiring developers, and the MCP server translates that into the matching API calls. This removes the need for a developer to write a custom integration for every new question an agent might ask. MCP sits alongside API, flat files, and webhooks as a fourth delivery method for the same underlying Technology Detections data.\"\n      }\n    },\n    {\n      \"@type\": \"Question\",\n      \"name\": \"How often is PredictLeads technology detection data refreshed?\",\n      \"acceptedAnswer\": {\n        \"@type\": \"Answer\",\n        \"text\": \"High-traffic company websites are crawled multiple times daily, and job openings, a key source for behind-the-firewall detections, refresh approximately every 36 hours. Every detection carries its own first_seen_at and last_seen_at timestamps, so you can measure freshness at the record level rather than relying on a single site-wide refresh date. Webhooks can also push a notification the moment a new detection appears for a followed company.\"\n      }\n    },\n    {\n      \"@type\": \"Question\",\n      \"name\": \"Can I combine technology detection data with Job Openings or Financing Events in the same API?\",\n      \"acceptedAnswer\": {\n        \"@type\": \"Answer\",\n        \"text\": \"Yes. PredictLeads returns Technology Detections, Job Openings (279.2M+ records since 2018), News Events, and Financing Events (210,800+ events since 2016) through the same API, so you can query multiple signal types for the same company without switching providers. Stacking signals, such as a new technology detection alongside a related job posting, in many cases produces stronger supporting evidence than either signal checked alone.\"\n      }\n    },\n    {\n      \"@type\": \"Question\",\n      \"name\": \"What is the rate limit for the PredictLeads API?\",\n      \"acceptedAnswer\": {\n        \"@type\": \"Answer\",\n        \"text\": \"The PredictLeads API allows 60 requests per second, and exceeding that limit returns a 429 response with a Retry-After header telling you when to resume. Exceeding your monthly credit limit instead returns a 402 response. PredictLeads recommends spacing requests rather than bursting traffic against the API.\"\n      }\n    },\n    {\n      \"@type\": \"Question\",\n      \"name\": \"Do I need to search by company domain, or can I search by technology name?\",\n      \"acceptedAnswer\": {\n        \"@type\": \"Answer\",\n        \"text\": \"Either works, depending on which direction your question starts from. 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