diff --git a/poetry.lock b/poetry.lock
index 3cfe2cb3..002e1d85 100644
--- a/poetry.lock
+++ b/poetry.lock
@@ -1,4 +1,4 @@
-# This file is automatically @generated by Poetry and should not be changed by hand.
+# This file is automatically @generated by Poetry 1.4.0 and should not be changed by hand.
 
 [[package]]
 name = "aiohttp"
@@ -446,6 +446,53 @@ files = [
     {file = "bitarray-2.8.2.tar.gz", hash = "sha256:f90b2f44b5b23364d5fbade2c34652e15b1fcfe813c46f828e008f68a709160f"},
 ]
 
+[[package]]
+name = "blis"
+version = "0.7.11"
+description = "The Blis BLAS-like linear algebra library, as a self-contained C-extension."
+category = "main"
+optional = false
+python-versions = "*"
+files = [
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+]
+
+[package.dependencies]
+numpy = {version = ">=1.19.0", markers = "python_version >= \"3.9\""}
+
 [[package]]
 name = "blspy"
 version = "2.0.2"
@@ -498,65 +545,79 @@ files = [
 
 [[package]]
 name = "cachetools"
-version = "5.3.1"
+version = "5.3.2"
 description = "Extensible memoizing collections and decorators"
 category = "main"
 optional = false
 python-versions = ">=3.7"
 files = [
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+]
+
+[[package]]
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+version = "2.0.10"
+description = "Super lightweight function registries for your library"
+category = "main"
+optional = false
+python-versions = ">=3.6"
+files = [
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+version = "5.5.0"
 description = "CBOR (de)serializer with extensive tag support"
 category = "main"
 optional = false
-python-versions = ">=3.7"
+python-versions = ">=3.8"
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 [package.extras]
-doc = ["sphinx-autodoc-typehints (>=1.2.0)", "sphinx-rtd-theme"]
-test = ["pytest", "pytest-cov"]
+benchmarks = ["pytest-benchmark (==4.0.0)"]
+doc = ["Sphinx (>=7)", "packaging", "sphinx-autodoc-typehints (>=1.2.0)", "sphinx-rtd-theme (>=1.3.0)", "typing-extensions"]
+test = ["coverage (>=7)", "hypothesis", "pytest"]
 
 [[package]]
 name = "certifi"
@@ -637,102 +698,102 @@ pycparser = "*"
 
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 [[package]]
@@ -750,6 +811,27 @@ files = [
 [package.dependencies]
 colorama = {version = "*", markers = "platform_system == \"Windows\""}
 
+[[package]]
+name = "cloudpathlib"
+version = "0.16.0"
+description = "pathlib-style classes for cloud storage services."
+category = "main"
+optional = false
+python-versions = ">=3.7"
+files = [
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+
+[package.dependencies]
+typing_extensions = {version = ">4", markers = "python_version < \"3.11\""}
+
+[package.extras]
+all = ["cloudpathlib[azure]", "cloudpathlib[gs]", "cloudpathlib[s3]"]
+azure = ["azure-storage-blob (>=12)"]
+gs = ["google-cloud-storage"]
+s3 = ["boto3"]
+
 [[package]]
 name = "coincurve"
 version = "18.0.0"
@@ -818,6 +900,22 @@ files = [
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+[[package]]
+name = "confection"
+version = "0.1.3"
+description = "The sweetest config system for Python"
+category = "main"
+optional = false
+python-versions = ">=3.6"
+files = [
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+
+[package.dependencies]
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+srsly = ">=2.4.0,<3.0.0"
+
 [[package]]
 name = "coverage"
 version = "7.3.2"
@@ -899,35 +997,35 @@ files = [
 
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 name = "cryptography"
-version = "41.0.4"
+version = "41.0.5"
 description = "cryptography is a package which provides cryptographic recipes and primitives to Python developers."
 category = "main"
 optional = false
 python-versions = ">=3.7"
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 ]
 
 [package.dependencies]
@@ -943,6 +1041,49 @@ ssh = ["bcrypt (>=3.1.5)"]
 test = ["pretend", "pytest (>=6.2.0)", "pytest-benchmark", "pytest-cov", "pytest-xdist"]
 test-randomorder = ["pytest-randomly"]
 
+[[package]]
+name = "cymem"
+version = "2.0.8"
+description = "Manage calls to calloc/free through Cython"
+category = "main"
+optional = false
+python-versions = "*"
+files = [
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 name = "cytoolz"
 version = "0.12.2"
@@ -1316,23 +1457,23 @@ test = ["eth-hash[pycryptodome]", "pytest (>=6.2.5,<7)", "pytest-xdist", "tox (=
 
 [[package]]
 name = "eth-typing"
-version = "3.5.0"
+version = "3.5.1"
 description = "eth-typing: Common type annotations for ethereum python packages"
 category = "main"
 optional = false
 python-versions = ">=3.7.2, <4"
 files = [
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 test = ["pytest (>=7.0.0)", "pytest-xdist (>=2.4.0)"]
 
 [[package]]
@@ -1486,14 +1627,14 @@ files = [
 
 [[package]]
 name = "fsspec"
-version = "2023.9.2"
+version = "2023.10.0"
 description = "File-system specification"
 category = "main"
 optional = false
 python-versions = ">=3.8"
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 qdrant = ["qdrant-client (>=1.3.1,<2.0.0)"]
 text-helpers = ["chardet (>=5.1.0,<6.0.0)"]
 
+[[package]]
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+version = "3.3.0"
+description = "Tools for labeling human languages with IETF language tags"
+category = "main"
+optional = false
+python-versions = ">=3.6"
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+]
+
+[package.extras]
+data = ["language-data (>=1.1,<2.0)"]
+
 [[package]]
 name = "langsmith"
-version = "0.0.43"
+version = "0.0.51"
 description = "Client library to connect to the LangSmith LLM Tracing and Evaluation Platform."
 category = "main"
 optional = false
 python-versions = ">=3.8.1,<4.0"
 files = [
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 [package.dependencies]
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 ]
 
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+version = "1.0.10"
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+category = "main"
+optional = false
+python-versions = ">=3.6"
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 version = "1.0.0"
@@ -2598,8 +2796,8 @@ files = [
 
 [package.dependencies]
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-coverage = {version = ">=6.4.4,<8.0.0", optional = true, markers = "extra == \"all\""}
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+coverage = {version = ">=6.4.4,<8.0.0", optional = true, markers = "extra == \"cli\""}
 ecdsa = ">=0.15,<0.17.0"
 jsonschema = ">=4.16.0,<=4.19.0"
 morphys = ">=1.0"
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 py-multibase = ">=1.0.0"
 py-multicodec = ">=0.2.0"
 pymultihash = "0.8.2"
-pytest = {version = ">=7.0.0,<7.3.0", optional = true, markers = "extra == \"all\""}
+pytest = {version = ">=7.0.0,<7.3.0", optional = true, markers = "extra == \"cli\""}
 python-dotenv = ">=0.14.0,<0.18.0"
 pyyaml = "6.0.1"
 requests = ">=2.22.0,<3.0.0"
@@ -2909,6 +3107,53 @@ files = [
 dev = ["pre-commit", "tox"]
 testing = ["pytest", "pytest-benchmark"]
 
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+category = "main"
+optional = false
+python-versions = ">=3.6"
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+murmurhash = ">=0.28.0,<1.1.0"
+
 [[package]]
 name = "protobuf"
 version = "3.19.5"
@@ -3870,11 +4115,6 @@ files = [
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@@ -3950,6 +4190,23 @@ files = [
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 ]
 
+[[package]]
+name = "setuptools"
+version = "68.2.2"
+description = "Easily download, build, install, upgrade, and uninstall Python packages"
+category = "main"
+optional = false
+python-versions = ">=3.8"
+files = [
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+]
+
+[package.extras]
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+testing = ["build[virtualenv]", "filelock (>=3.4.0)", "flake8-2020", "ini2toml[lite] (>=0.9)", "jaraco.develop (>=7.21)", "jaraco.envs (>=2.2)", "jaraco.path (>=3.2.0)", "pip (>=19.1)", "pytest (>=6)", "pytest-black (>=0.3.7)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=2.2)", "pytest-mypy (>=0.9.1)", "pytest-perf", "pytest-ruff", "pytest-timeout", "pytest-xdist", "tomli-w (>=1.0.0)", "virtualenv (>=13.0.0)", "wheel"]
+testing-integration = ["build[virtualenv] (>=1.0.3)", "filelock (>=3.4.0)", "jaraco.envs (>=2.2)", "jaraco.path (>=3.2.0)", "packaging (>=23.1)", "pytest", "pytest-enabler", "pytest-xdist", "tomli", "virtualenv (>=13.0.0)", "wheel"]
+
 [[package]]
 name = "six"
 version = "1.16.0"
@@ -3962,6 +4219,28 @@ files = [
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 ]
 
+[[package]]
+name = "smart-open"
+version = "6.4.0"
+description = "Utils for streaming large files (S3, HDFS, GCS, Azure Blob Storage, gzip, bz2...)"
+category = "main"
+optional = false
+python-versions = ">=3.6,<4.0"
+files = [
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+]
+
+[package.extras]
+all = ["azure-common", "azure-core", "azure-storage-blob", "boto3", "google-cloud-storage (>=2.6.0)", "paramiko", "requests"]
+azure = ["azure-common", "azure-core", "azure-storage-blob"]
+gcs = ["google-cloud-storage (>=2.6.0)"]
+http = ["requests"]
+s3 = ["boto3"]
+ssh = ["paramiko"]
+test = ["azure-common", "azure-core", "azure-storage-blob", "boto3", "google-cloud-storage (>=2.6.0)", "moto[server]", "paramiko", "pytest", "pytest-rerunfailures", "requests", "responses"]
+webhdfs = ["requests"]
+
 [[package]]
 name = "sniffio"
 version = "1.3.0"
@@ -3998,6 +4277,119 @@ files = [
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 ]
 
+[[package]]
+name = "spacy"
+version = "3.7.2"
+description = "Industrial-strength Natural Language Processing (NLP) in Python"
+category = "main"
+optional = false
+python-versions = ">=3.7"
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 version = "3.2.0"
@@ -4361,6 +4882,28 @@ notebook = ["ipywidgets (>=6)"]
 slack = ["slack-sdk"]
 telegram = ["requests"]
 
+[[package]]
+name = "typer"
+version = "0.9.0"
+description = "Typer, build great CLIs. Easy to code. Based on Python type hints."
+category = "main"
+optional = false
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+
 [[package]]
 name = "typing-extensions"
 version = "4.8.0"
@@ -4403,14 +4946,14 @@ files = [
 
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-version = "1.26.17"
+version = "1.26.18"
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 python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*, !=3.5.*"
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 [package.extras]
@@ -4460,14 +5003,14 @@ files = [
 
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-version = "20.24.5"
+version = "20.24.6"
 description = "Virtual Python Environment builder"
 category = "dev"
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 python-versions = ">=3.7"
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+description = "A lightweight console printing and formatting toolkit"
+category = "main"
+optional = false
+python-versions = ">=3.6"
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 [[package]]
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 version = "3.0.0"
@@ -4519,6 +5077,29 @@ files = [
 [package.extras]
 watchmedo = ["PyYAML (>=3.10)"]
 
+[[package]]
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+description = "Weasel: A small and easy workflow system"
+category = "main"
+optional = false
+python-versions = ">=3.6"
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+wasabi = ">=0.9.1,<1.2.0"
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 [[package]]
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 version = "0.59.0"
@@ -4536,82 +5117,84 @@ six = "*"
 
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-version = "11.0.3"
+version = "12.0"
 description = "An implementation of the WebSocket Protocol (RFC 6455 & 7692)"
 category = "main"
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+    {file = "websockets-12.0-pp310-pypy310_pp73-macosx_10_9_x86_64.whl", hash = "sha256:248d8e2446e13c1d4326e0a6a4e9629cb13a11195051a73acf414812700badbd"},
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+    {file = "websockets-12.0-pp310-pypy310_pp73-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:3d829f975fc2e527a3ef2f9c8f25e553eb7bc779c6665e8e1d52aa22800bb38b"},
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+    {file = "websockets-12.0-pp38-pypy38_pp73-macosx_10_9_x86_64.whl", hash = "sha256:0bee75f400895aef54157b36ed6d3b308fcab62e5260703add87f44cee9c82a6"},
+    {file = "websockets-12.0-pp38-pypy38_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:423fc1ed29f7512fceb727e2d2aecb952c46aa34895e9ed96071821309951123"},
+    {file = "websockets-12.0-pp38-pypy38_pp73-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:27a5e9964ef509016759f2ef3f2c1e13f403725a5e6a1775555994966a66e931"},
+    {file = "websockets-12.0-pp38-pypy38_pp73-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:c3181df4583c4d3994d31fb235dc681d2aaad744fbdbf94c4802485ececdecf2"},
+    {file = "websockets-12.0-pp38-pypy38_pp73-win_amd64.whl", hash = "sha256:b067cb952ce8bf40115f6c19f478dc71c5e719b7fbaa511359795dfd9d1a6468"},
+    {file = "websockets-12.0-pp39-pypy39_pp73-macosx_10_9_x86_64.whl", hash = "sha256:00700340c6c7ab788f176d118775202aadea7602c5cc6be6ae127761c16d6b0b"},
+    {file = "websockets-12.0-pp39-pypy39_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:e469d01137942849cff40517c97a30a93ae79917752b34029f0ec72df6b46399"},
+    {file = "websockets-12.0-pp39-pypy39_pp73-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:ffefa1374cd508d633646d51a8e9277763a9b78ae71324183693959cf94635a7"},
+    {file = "websockets-12.0-pp39-pypy39_pp73-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:ba0cab91b3956dfa9f512147860783a1829a8d905ee218a9837c18f683239611"},
+    {file = "websockets-12.0-pp39-pypy39_pp73-win_amd64.whl", hash = "sha256:2cb388a5bfb56df4d9a406783b7f9dbefb888c09b71629351cc6b036e9259370"},
+    {file = "websockets-12.0-py3-none-any.whl", hash = "sha256:dc284bbc8d7c78a6c69e0c7325ab46ee5e40bb4d50e494d8131a07ef47500e9e"},
+    {file = "websockets-12.0.tar.gz", hash = "sha256:81df9cbcbb6c260de1e007e58c011bfebe2dafc8435107b0537f393dd38c8b1b"},
 ]
 
 [[package]]
@@ -4735,4 +5318,4 @@ multidict = ">=4.0"
 [metadata]
 lock-version = "2.0"
 python-versions = "^3.10"
-content-hash = "e065dee3caf1692703632706c93e368d89abba64eba36c2a1c5d9afdd78df6fa"
+content-hash = "02bb9e5fc203ff9eeb1e683eddf228e786e6c74028fda64a5a2af0b5dc939301"
diff --git a/pyproject.toml b/pyproject.toml
index caa1ce6b..535eda23 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -56,6 +56,7 @@ langchain = "==0.0.303"
 scikit-learn = "==1.3.1"
 pytest = "==7.2.1"
 jsonschema = ">=4.16.0,<=4.19.0"
+spacy = "==3.7.2"
 
 [tool.poetry.group.dev.dependencies.tomte]
 version = "==0.2.12"
diff --git a/tools/prediction_request.py b/tools/prediction_request.py
index 5fb1745a..a93cb28c 100644
--- a/tools/prediction_request.py
+++ b/tools/prediction_request.py
@@ -20,16 +20,27 @@
 """This module implements a Mech tool for binary predictions."""
 
 import json
+from collections import defaultdict
 from concurrent.futures import Future, ThreadPoolExecutor
+from heapq import nlargest
+from string import punctuation
 from typing import Any, Dict, Generator, List, Optional, Tuple
 
 import openai
 import requests
+import spacy
 from bs4 import BeautifulSoup
 from googleapiclient.discovery import build
+from spacy import Language
+from spacy.cli import download
+from spacy.lang.en import STOP_WORDS
+from spacy.tokens import Doc, Span
+
+
+FrequenciesType = Dict[str, float]
+ScoresType = Dict[Span, float]
 
 
-NUM_URLS_EXTRACT = 5
 DEFAULT_OPENAI_SETTINGS = {
     "max_tokens": 500,
     "temperature": 0.7,
@@ -37,11 +48,19 @@
 ALLOWED_TOOLS = [
     "prediction-offline",
     "prediction-online",
+    "prediction-online-summarized-info",
 ]
-TOOL_TO_ENGINE = {
-    "prediction-offline": "gpt-3.5-turbo",
-    "prediction-online": "gpt-3.5-turbo",
-}
+TOOL_TO_ENGINE = {tool: "gpt-3.5-turbo" for tool in ALLOWED_TOOLS}
+# the default number of URLs to fetch online information for
+DEFAULT_NUM_URLS = defaultdict(lambda: 3)
+DEFAULT_NUM_URLS["prediction-online-summarized-info"] = 7
+# the default number of words to fetch online information for
+DEFAULT_NUM_WORDS: Dict[str, Optional[int]] = defaultdict(lambda: 300)
+DEFAULT_NUM_WORDS["prediction-online-summarized-info"] = None
+# how much of the initial content will be kept during summarization
+DEFAULT_COMPRESSION_FACTOR = 0.05
+# the vocabulary to use for the summarization
+DEFAULT_VOCAB = "en_core_web_sm"
 
 PREDICTION_PROMPT = """
 You are an LLM inside a multi-agent system that takes in a prompt of a user requesting a probability estimation
@@ -112,7 +131,7 @@
 """
 
 
-def search_google(query: str, api_key: str, engine: str, num: int = 3) -> List[str]:
+def search_google(query: str, api_key: str, engine: str, num: int) -> List[str]:
     service = build("customsearch", "v1", developerKey=api_key)
     search = (
         service.cse()
@@ -126,7 +145,9 @@ def search_google(query: str, api_key: str, engine: str, num: int = 3) -> List[s
     return [result["link"] for result in search["items"]]
 
 
-def get_urls_from_queries(queries: List[str], api_key: str, engine: str) -> List[str]:
+def get_urls_from_queries(
+    queries: List[str], api_key: str, engine: str, num: int
+) -> List[str]:
     """Get URLs from search engine queries"""
     results = []
     for query in queries:
@@ -134,7 +155,7 @@ def get_urls_from_queries(queries: List[str], api_key: str, engine: str) -> List
             query=query,
             api_key=api_key,
             engine=engine,
-            num=3,  # Number of returned results
+            num=num,
         ):
             results.append(url)
     unique_results = list(set(results))
@@ -143,7 +164,7 @@ def get_urls_from_queries(queries: List[str], api_key: str, engine: str) -> List
 
 def extract_text(
     html: str,
-    num_words: int = 300,  # TODO: summerise using GPT instead of limit
+    num_words: Optional[int],
 ) -> str:
     """Extract text from a single HTML document"""
     soup = BeautifulSoup(html, "html.parser")
@@ -153,6 +174,9 @@ def extract_text(
     lines = (line.strip() for line in text.splitlines())
     chunks = (phrase.strip() for line in lines for phrase in line.split("  "))
     text = "\n".join(chunk for chunk in chunks if chunk)
+
+    if num_words is None:
+        return text
     return text[:num_words]
 
 
@@ -163,10 +187,14 @@ def process_in_batches(
     with ThreadPoolExecutor() as executor:
         for i in range(0, len(urls), window):
             batch = urls[i : i + window]
-            futures = [(executor.submit(requests.get, url, timeout=timeout), url) for url in batch]
+            futures = [
+                (executor.submit(requests.get, url, timeout=timeout), url)
+                for url in batch
+            ]
             yield futures
 
-def extract_texts(urls: List[str], num_words: int = 300) -> List[str]:
+
+def extract_texts(urls: List[str], num_words: Optional[int]) -> List[str]:
     """Extract texts from URLs"""
     max_allowed = 5
     extracted_texts = []
@@ -178,7 +206,9 @@ def extract_texts(urls: List[str], num_words: int = 300) -> List[str]:
                 result = future.result()
                 if result.status_code != 200:
                     continue
-                extracted_texts.append(extract_text(html=result.text, num_words=num_words))
+                extracted_texts.append(
+                    extract_text(html=result.text, num_words=num_words)
+                )
                 count += 1
                 if count >= max_allowed:
                     stop = True
@@ -186,7 +216,7 @@ def extract_texts(urls: List[str], num_words: int = 300) -> List[str]:
             except requests.exceptions.ReadTimeout:
                 print(f"Request timed out: {url}.")
             except Exception as e:
-                    print(f"An error occurred: {e}")
+                print(f"An error occurred: {e}")
         if stop:
             break
     return extracted_texts
@@ -199,6 +229,8 @@ def fetch_additional_information(
     max_tokens: int,
     google_api_key: str,
     google_engine: str,
+    num_urls: int,
+    num_words: Optional[int],
 ) -> str:
     """Fetch additional information."""
     url_query_prompt = URL_QUERY_PROMPT.format(user_prompt=prompt)
@@ -222,19 +254,83 @@ def fetch_additional_information(
     json_data = json.loads(response.choices[0].message.content)
     urls = get_urls_from_queries(
         json_data["queries"],
-        api_key=google_api_key,
-        engine=google_engine,
+        google_api_key,
+        google_engine,
+        num_urls,
     )
-    texts = extract_texts(urls)
+    texts = extract_texts(urls, num_words)
     return "\n".join(["- " + text for text in texts])
 
 
+def load_model(vocab: str) -> Language:
+    """Utilize spaCy to load the model and download it if it is not already available."""
+    try:
+        return spacy.load(vocab)
+    except OSError:
+        print("Downloading language model...")
+        download(vocab)
+        return spacy.load(vocab)
+
+
+def calc_word_frequencies(doc: Doc) -> FrequenciesType:
+    """Get the frequency of each word in the given text, excluding stop words and punctuations."""
+    word_frequencies = defaultdict(lambda: 0)
+    for token in doc:
+        word = token.text
+        lower = word.lower()
+        if lower not in STOP_WORDS.union(punctuation):
+            word_frequencies[lower] += 1
+
+    max_frequency = max(word_frequencies.values())
+    normalized_frequencies = defaultdict(
+        lambda: 0,
+        {
+            word: frequency / max_frequency
+            for word, frequency in word_frequencies.items()
+        },
+    )
+    return normalized_frequencies
+
+
+def calc_sentence_scores(
+    sentence_tokens: List[Span], word_frequencies: FrequenciesType
+) -> ScoresType:
+    """Calculate the sentence scores."""
+    sentence_scores = defaultdict(lambda: 0)
+    for sentence in sentence_tokens:
+        for token in sentence:
+            sentence_scores[sentence] += word_frequencies[token.text.lower()]
+
+    return sentence_scores
+
+
+def summarize(text: str, compression_factor: float, vocab: str) -> str:
+    """Summarize the given text, retaining the given compression factor."""
+    if not text:
+        raise ValueError("Cannot summarize empty text!")
+
+    nlp = load_model(vocab)
+    doc = nlp(text)
+    word_frequencies = calc_word_frequencies(doc)
+    sentence_tokens = list(doc.sents)
+    sentence_scores = calc_sentence_scores(sentence_tokens, word_frequencies)
+    n = int(len(sentence_tokens) * compression_factor)
+    summary = nlargest(n, sentence_scores, key=sentence_scores.get)
+    summary_words = [word.text for word in summary]
+    summary_text = "".join(summary_words)
+    return summary_text
+
+
 def run(**kwargs) -> Tuple[str, Optional[Dict[str, Any]]]:
     """Run the task"""
     tool = kwargs["tool"]
     prompt = kwargs["prompt"]
     max_tokens = kwargs.get("max_tokens", DEFAULT_OPENAI_SETTINGS["max_tokens"])
     temperature = kwargs.get("temperature", DEFAULT_OPENAI_SETTINGS["temperature"])
+    num_urls = kwargs.get("num_urls", DEFAULT_NUM_URLS[tool])
+    num_words = kwargs.get("num_words", DEFAULT_NUM_WORDS[tool])
+    compression_factor = kwargs.get("compression_factor", DEFAULT_COMPRESSION_FACTOR)
+    vocab = kwargs.get("vocab", DEFAULT_VOCAB)
 
     openai.api_key = kwargs["api_keys"]["openai"]
     if tool not in ALLOWED_TOOLS:
@@ -243,16 +339,24 @@ def run(**kwargs) -> Tuple[str, Optional[Dict[str, Any]]]:
     engine = TOOL_TO_ENGINE[tool]
     additional_information = (
         fetch_additional_information(
-            prompt=prompt,
-            engine=engine,
-            temperature=temperature,
-            max_tokens=max_tokens,
-            google_api_key=kwargs["api_keys"]["google_api_key"],
-            google_engine=kwargs["api_keys"]["google_engine_id"],
+            prompt,
+            engine,
+            temperature,
+            max_tokens,
+            kwargs["api_keys"]["google_api_key"],
+            kwargs["api_keys"]["google_engine_id"],
+            num_urls,
+            num_words,
         )
-        if tool == "prediction-online"
+        if tool.startswith("prediction-online")
         else ""
     )
+
+    if additional_information and tool == "prediction-online-summarized-info":
+        additional_information = summarize(
+            additional_information, compression_factor, vocab
+        )
+
     prediction_prompt = PREDICTION_PROMPT.format(
         user_prompt=prompt, additional_information=additional_information
     )
diff --git a/tox.ini b/tox.ini
index de8e50ea..85d21fd2 100644
--- a/tox.ini
+++ b/tox.ini
@@ -58,6 +58,7 @@ deps =
     scikit-learn==1.3.1
     pytest==7.2.1
     jsonschema>=4.16.0,<=4.19.0
+    spacy==3.7.2
 
 [testenv]
 basepython = python3