prebid · leiforion · Feb 17, 2026 · Feb 18, 2026 · Feb 18, 2026 · Feb 18, 2026
diff --git a/integrationExamples/realTimeData/datamageRtdProvider_example.html b/integrationExamples/realTimeData/datamageRtdProvider_example.html
@@ -0,0 +1,213 @@
+<!DOCTYPE html>
+<html>
+
+<head>
+    <meta charset="utf-8" />
+    <title>OpsMage Prebid Test Page</title>
+
+    <!-- GPT -->
+    <script async src="https://securepubads.g.doubleclick.net/tag/js/gpt.js" crossorigin="anonymous"></script>
+    <script>
+        window.googletag = window.googletag || { cmd: [] };
+        window.gptSlot = null;
+
+        googletag.cmd.push(function () {
+            googletag.pubads().disableInitialLoad();
+
+            // ✅ Save slot reference so we can refresh JUST this slot
+            window.gptSlot = googletag.defineSlot(
+                '/50536250/designcon',
+                [[300, 250]],
+                'div-gpt-ad-1771335974713-0'
+            ).addService(googletag.pubads());
+
+            googletag.pubads().enableSingleRequest();
+            googletag.enableServices();
+
+            // ✅ Display once (no request yet because disableInitialLoad)
+            googletag.display('div-gpt-ad-1771335974713-0');
+        });
+
+        function dumpGptTargeting(label) {
+            googletag.cmd.push(function () {
+                const pubads = googletag.pubads();
+                const keys = pubads.getTargetingKeys();
+                const pubadsMap = {};
+                keys.forEach(k => { pubadsMap[k] = pubads.getTargeting(k); });
+
+                console.log(label, 'PUBADS targeting:', pubadsMap);
+
+                if (window.gptSlot && typeof window.gptSlot.getTargetingMap === 'function') {
+                    console.log(label, 'SLOT targeting:', window.gptSlot.getTargetingMap());
+                }
+            });
+        }
+    </script>
+
+    <!-- Prebid -->
+    <script async src="build/dev/prebid.js"></script>
+
+    <script>
+        var pbjs = window.pbjs = window.pbjs || {};
+        pbjs.que = pbjs.que || [];
+
+        var PREBID_TIMEOUT = 1500;
+        var DATAMAGE_WAIT_MS = 1200; // bump a bit so dm arrives more often
+
+        var adUnits = [{
+            code: 'div-gpt-ad-1771335974713-0',
+            mediaTypes: { banner: { sizes: [[300, 250]] } },
+            bids: [{
+                bidder: 'appnexus',
+                params: { placementId: 1234567 }
+            }]
+        }];
+
+        function looksLikeQueryStringBlob(s) {
+            // Detect "om_x=y&om_a=b" style blobs (these cause %3D and %26 in the request)
+            return typeof s === 'string' && /(^|&)om_[^=]+=/.test(s);
+        }
+
+        function normalizeValues(values) {
+            if (values == null) return [];
+            const arr = Array.isArray(values) ? values : [values];
+            return arr
+                .map(v => (v == null ? '' : String(v)))
+                .map(v => v.trim())
+                .filter(v => v.length);
+        }
+
+        function applyDatamageToGpt(gptMap) {
+            if (!gptMap || !window.googletag) return;
+
+            googletag.cmd.push(function () {
+                const pubads = googletag.pubads();
+
+                Object.keys(gptMap).forEach(function (key) {
+                    let values = gptMap[key];
+
+                    // ✅ Guard: never allow a whole querystring to be set as a value
+                    if (looksLikeQueryStringBlob(values)) {
+                        console.warn('Refusing to set querystring blob as targeting value for', key, values);
+                        return;
+                    }
+
+                    const outVals = normalizeValues(values);
+                    if (!outVals.length) return;
+
+                    pubads.setTargeting(key, outVals);
+                });
+
+                // Useful log
+                dumpGptTargeting('[after applyDatamageToGpt]');
+            });
+        }
+
+        function waitForDatamage(maxWaitMs) {
+            return new Promise(function (resolve) {
+                if (window.__DATAMAGE_GPT_TARGETING__) {
+                    resolve(window.__DATAMAGE_GPT_TARGETING__);
+                    return;
+                }
+
+                let done = false;
+                function finish(val) {
+                    if (done) return;
+                    done = true;
+                    window.removeEventListener('datamage:gptTargeting', onEvt);
+                    resolve(val || null);
+                }
+
+                function onEvt(e) {
+                    finish(e && e.detail);
+                }
+
+                window.addEventListener('datamage:gptTargeting', onEvt);
+                setTimeout(function () { finish(null); }, maxWaitMs);
+            });
+        }
+
+        pbjs.que.push(function () {
+            pbjs.setConfig({
+                debug: true,
+
+                consentManagement: {
+                    allowAuctionWithoutConsent: true,
+                    gdpr: {
+                        cmpApi: 'static',
+                        timeout: 0,
+                        consentData: {
+                            getTCData: {
+                                tcString: 'CPAa+2APAa+2AAOACBENC1CoAP_AAH_AAAAAAwwxgAAAAA',
+                                gdprApplies: true,
+                                purpose: { consents: { 1: true, 2: true, 3: true, 4: true, 5: true } },
+                                vendor: { consents: { 1: true }, legitimateInterests: { 1: true } }
+                            }
+                        }
+                    },
+                    usp: { cmpApi: 'static', timeout: 0, consentData: { getUSPData: { uspString: '1---' } } }
+                },
+
+                allowActivities: {
+                    accessDevice: { rules: [{ action: 'allow' }] },
+                    enrichUfpd: { rules: [{ action: 'allow' }] },
+                    enrichEids: { rules: [{ action: 'allow' }] },
+                    transmitTid: { rules: [{ action: 'allow' }] }
+                },
+
+                realTimeData: {
+                    auctionDelay: 500,
+                    dataProviders: [{
+                        name: "datamage",
+                        params: {
+                            api_key: '8328309832',
+                            selector: 'article',
+                            auction_timeout_ms: 0,
+                            fetch_timeout_ms: 2500
+                        }
+                    }]
+                }
+            });
+
+            pbjs.addAdUnits(adUnits);
+
+            pbjs.requestBids({
+                bidsBackHandler: async function () {
+                    // HB keys (if bids)
+                    pbjs.setTargetingForGPTAsync();
+
+                    // OpsMage keys (even if no bids)
+                    var dm = await waitForDatamage(DATAMAGE_WAIT_MS);
+                    console.log('DATAMAGE map:', dm);
+                    if (dm) applyDatamageToGpt(dm);
+                    // Dump before refresh (this is the truth source)
+                    dumpGptTargeting('[before refresh]');
+
+                    // ✅ Refresh only our slot (safer + easier to inspect)
+                    googletag.cmd.push(function () {
+                        if (window.gptSlot) {
+                            googletag.pubads().refresh([window.gptSlot]);
+                        } else {
+                            // fallback
+                            googletag.pubads().refresh();
+                        }
+                    });
+                },
+                timeout: PREBID_TIMEOUT
+            });
+        });
+    </script>
+</head>
+
+<body>
+    <h2>OpsMage Prebid Test Page</h2>
+    <div id="div-gpt-ad-1771335974713-0" style="width:300px; height:250px;"></div>
+    <article>The tech world is currently buzzing over the highly anticipated market debut of fakeDSP, a trailblazing
+        startup poised to redefine the landscape of digital signal processing. Leveraging proprietary neuromorphic
+        algorithms and quantum-ready architecture, fakeDSP promises to accelerate real-time data synthesis by speeds
+        previously thought impossible. With early analysts calling it a definitive disruptor in both the
+        telecommunications and audio-engineering sectors, the company’s entrance signifies a major leap forward in how
+        complex signals are analyzed and reconstructed in the AI era.</article>
+</body>
+
+</html>
diff --git a/modules/datamageRrdProvider.md b/modules/datamageRrdProvider.md
@@ -0,0 +1,79 @@
+# DataMage RTD Submodule
+
+DataMage provides contextual classification (IAB Categories, Sentiment, Brands, Locations, Public Figures, Restricted Categories, and related IDs) that can be used to enrich demand signals and Google Ad Manager targeting.
+
+## What it does
+
+DataMage supports two outcomes in a Prebid + GAM setup:
+
+1) **Passes data to bidders (ORTB2 enrichment)**
+- DataMage fetches classification for the current page/content.
+- The results are inserted into the bid request using OpenRTB (ORTB2), so bidders can receive the contextual signal.
+
+2) **Passes data to Google Ad Manager (direct GPT targeting)**
+- DataMage publishes a targeting map on the page (`window.__DATAMAGE_GPT_TARGETING__`) and emits an event (`datamage:gptTargeting`).
+- Your page then sets those key-values into GPT/GAM using `googletag.pubads().setTargeting(...)`.
+- This works **even if there are no bids**, as long as GPT is refreshed after targeting is set.
+
+## Keys provided
+
+DataMage can provide the following keys (when available):
+
+- `om_iab_cat_ids`, `om_iab_cats`
+- `om_brand_ids`, `om_brands`
+- `om_sentiment_ids`, `om_sentiment`
+- `om_location_ids`, `om_locations`
+- `om_public_figure_ids`, `om_public_figures`
+- `om_restricted_cat_ids`, `om_restricted_cats`
+- `om_ops_mage_data_id`
+- `om_res_score_bucket`
+- `om_res_score` (only when present)
+
+> Publisher domain keys are not used.
+
+## Integration
+
+### 1) Build Prebid.js with DataMage
+Include the module in your Prebid build:
+```bash
+gulp build --modules=datamageRtdProvider,...
+```
+
+### 2) Enable the RTD provider in Prebid config
+Example:
+```js
+pbjs.setConfig({
+  realTimeData: {
+    auctionDelay: 500,
+    dataProviders: [{
+      name: "datamage",
+      params: {
+        api_key: "YOUR_API_KEY",
+        selector: "article",
+        auction_timeout_ms: 0,
+        fetch_timeout_ms: 2500
+      }
+    }]
+  }
+});
+```
+
+### 3) GAM (GPT) setup requirements
+To ensure DataMage key-values are included in the GAM request:
+
+1. Call `googletag.pubads().disableInitialLoad()` before the ad request.
+2. Define the slot and keep a reference to it.
+3. Call `googletag.display()` once (no request yet because initial load is disabled).
+4. Run `pbjs.requestBids(...)`.
+5. After bids return:
+   - Call `pbjs.setTargetingForGPTAsync()` (for hb_* keys when bids exist).
+   - Wait for DataMage targeting (`window.__DATAMAGE_GPT_TARGETING__` or the `datamage:gptTargeting` event).
+   - Apply DataMage targeting via `googletag.pubads().setTargeting(...)`.
+6. Call `googletag.pubads().refresh([slot])` to make the GAM request.
+
+This sequence ensures:
+- DataMage targeting reaches GAM
+- ORTB2 enrichment reaches bidders
+- DataMage targeting can still be applied even if there are no bids
+
+Note: Datamage api URLs will cache for 5 minutes, so you may not see content return until the cache has cleared.