diff --git a/ape_alchemy/provider.py b/ape_alchemy/provider.py
index 5d5ed2c..a856d39 100644
--- a/ape_alchemy/provider.py
+++ b/ape_alchemy/provider.py
@@ -1,4 +1,5 @@
-import os
+import os, time
+import numpy.random as random
 from typing import Any, Dict, Iterator
 
 from ape.api import UpstreamProvider, Web3Provider
@@ -26,6 +27,12 @@ class Alchemy(Web3Provider, UpstreamProvider):
 
     network_uris: Dict[tuple, str] = {}
 
+    def __init__(self, **kwargs):
+        super().__init__(**kwargs)
+        self.block_page_size = 5000
+        self.concurrency = 1
+        print(f"setting block_page_size to {self.block_page_size} and concurrency to {self.concurrency}")
+
     @property
     def uri(self):
         """
@@ -129,22 +136,37 @@ def get_virtual_machine_error(self, exception: Exception) -> VirtualMachineError
         return VirtualMachineError(message=message)
 
     def _make_request(self, endpoint: str, parameters: list) -> Any:
-        try:
-            return super()._make_request(endpoint, parameters)
-        except HTTPError as err:
-            response_data = err.response.json()
-            if "error" not in response_data:
-                raise AlchemyProviderError(str(err)) from err
-
-            error_data = response_data["error"]
-            message = (
-                error_data.get("message", str(error_data))
-                if isinstance(error_data, dict)
-                else error_data
-            )
-            cls = (
-                AlchemyFeatureNotAvailable
-                if "is not available" in message
-                else AlchemyProviderError
-            )
-            raise cls(message) from err
+        MIN_RETRY_DELAY = 1000
+        RETRY_BACKOFF_FACTOR = 2
+        MAX_RETRY_DELAY = 30000
+        MAX_RETRIES = 3
+        # RETRY_INTERVAL = 1000
+        RETRY_JITTER = 250
+        for i in range(0,MAX_RETRIES):
+            print(f"_make_request attempt {i}")
+            try:
+                return super()._make_request(endpoint, parameters)
+            except HTTPError as err:
+                response_data = err.response.json()
+                if "error" not in response_data:
+                    raise AlchemyProviderError(str(err)) from err
+
+                error_data = response_data["error"]
+                message = (
+                    error_data.get("message", str(error_data))
+                    if isinstance(error_data, dict)
+                    else error_data
+                )
+                if message.__contains__("exceeded its compute units"):
+                    RETRY_INTERVAL = min(MAX_RETRY_DELAY, MIN_RETRY_DELAY * RETRY_BACKOFF_FACTOR ** i)
+                    print(f"Alchemy compute units exceeded, retrying #{i} in {RETRY_INTERVAL} ms")
+                    delay = RETRY_INTERVAL + random.randint(0, RETRY_JITTER)
+                    time.sleep(delay / 1000)
+                    continue
+                cls = (
+                    AlchemyFeatureNotAvailable
+                    if "is not available" in message
+                    else AlchemyProviderError
+                )
+                raise cls(message) from err
+        raise AlchemyProviderError(f"Rate limited for ${MAX_RETRIES} consecutive attempts.")