diff --git a/Common/Tools/PID/pidTPCModule.h b/Common/Tools/PID/pidTPCModule.h
index 36b3c54df00..3c7e555c940 100644
--- a/Common/Tools/PID/pidTPCModule.h
+++ b/Common/Tools/PID/pidTPCModule.h
@@ -127,6 +127,7 @@ struct pidTPCConfigurables : o2::framework::ConfigurableGroup {
   o2::framework::Configurable<int> useNetworkHe{"useNetworkHe", 1, {"Switch for applying neural network on the helium3 mass hypothesis (if network enabled) (set to 0 to disable)"}};
   o2::framework::Configurable<int> useNetworkAl{"useNetworkAl", 1, {"Switch for applying neural network on the alpha mass hypothesis (if network enabled) (set to 0 to disable)"}};
   o2::framework::Configurable<float> networkBetaGammaCutoff{"networkBetaGammaCutoff", 0.45, {"Lower value of beta-gamma to override the NN application"}};
+  o2::framework::Configurable<std::string> irSource{"irSource", "ZNC hadronic", "Estimator of the interaction rate (Recommended: pp --> T0VTX, Pb-Pb --> ZNC hadronic)"};
 };
 
 // helper getter - FIXME should be separate
@@ -432,6 +433,8 @@ class pidTPCModule
     // Filling a std::vector<float> to be evaluated by the network
     // Evaluation on single tracks brings huge overhead: Thus evaluation is done on one large vector
     for (int i = 0; i < 9; i++) { // Loop over particle number for which network correction is used
+      float hadronicRate = 0.;
+      uint64_t timeStamp_bcOld = 0;
       for (auto const& trk : tracks) {
         if (!trk.hasTPC()) {
           continue;
@@ -450,6 +453,19 @@ class pidTPCModule
         if (input_dimensions == 7 && networkVersion == "2") {
           track_properties[counter_track_props + 6] = trk.has_collision() ? collisions.iteratorAt(trk.collisionId()).ft0cOccupancyInTimeRange() / 60000. : 1.;
         }
+        if (input_dimensions == 8 && networkVersion == "3") {
+          track_properties[counter_track_props + 6] = trk.has_collision() ? collisions.iteratorAt(trk.collisionId()).ft0cOccupancyInTimeRange() / 60000. : 1.;
+          if (trk.has_collision()) {
+            auto trk_bc = (collisions.iteratorAt(trk.collisionId())).template bc_as<B>();
+            if (trk_bc.timestamp() != timeStamp_bcOld) {
+              hadronicRate = mRateFetcher.fetch(ccdb.service, trk_bc.timestamp(), trk_bc.runNumber(), pidTPCopts.irSource.value) * 1.e-3;
+            }
+            timeStamp_bcOld = trk_bc.timestamp();
+            track_properties[counter_track_props + 7] = hadronicRate / 50.;
+          } else {
+            track_properties[counter_track_props + 7] = 1;
+          }
+        }
         counter_track_props += input_dimensions;
       }