diff --git a/poetry.lock b/poetry.lock
index 3120312..fecf5cf 100644
--- a/poetry.lock
+++ b/poetry.lock
@@ -2,87 +2,87 @@
 
 [[package]]
 name = "aiohttp"
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+version = "3.9.5"
 description = "Async http client/server framework (asyncio)"
 optional = false
 python-versions = ">=3.8"
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 [package.dependencies]
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 ]
 
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+    {file = "blis-0.7.11-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:7ea09f961871f880d5dc622dce6c370e4859559f0ead897ae9b20ddafd6b07a2"},
+    {file = "blis-0.7.11-cp39-cp39-win_amd64.whl", hash = "sha256:5bb38adabbb22f69f22c74bad025a010ae3b14de711bf5c715353980869d491d"},
+    {file = "blis-0.7.11.tar.gz", hash = "sha256:cec6d48f75f7ac328ae1b6fbb372dde8c8a57c89559172277f66e01ff08d4d42"},
+]
+
+[package.dependencies]
+numpy = {version = ">=1.19.0", markers = "python_version >= \"3.9\""}
+
 [[package]]
 name = "brotli"
 version = "1.1.0"
@@ -689,6 +735,17 @@ files = [
     {file = "cachetools-5.3.3.tar.gz", hash = "sha256:ba29e2dfa0b8b556606f097407ed1aa62080ee108ab0dc5ec9d6a723a007d105"},
 ]
 
+[[package]]
+name = "catalogue"
+version = "2.0.10"
+description = "Super lightweight function registries for your library"
+optional = false
+python-versions = ">=3.6"
+files = [
+    {file = "catalogue-2.0.10-py3-none-any.whl", hash = "sha256:58c2de0020aa90f4a2da7dfad161bf7b3b054c86a5f09fcedc0b2b740c109a9f"},
+    {file = "catalogue-2.0.10.tar.gz", hash = "sha256:4f56daa940913d3f09d589c191c74e5a6d51762b3a9e37dd53b7437afd6cda15"},
+]
+
 [[package]]
 name = "certifi"
 version = "2024.2.2"
@@ -764,6 +821,17 @@ files = [
 [package.dependencies]
 pycparser = "*"
 
+[[package]]
+name = "chardet"
+version = "5.2.0"
+description = "Universal encoding detector for Python 3"
+optional = false
+python-versions = ">=3.7"
+files = [
+    {file = "chardet-5.2.0-py3-none-any.whl", hash = "sha256:e1cf59446890a00105fe7b7912492ea04b6e6f06d4b742b2c788469e34c82970"},
+    {file = "chardet-5.2.0.tar.gz", hash = "sha256:1b3b6ff479a8c414bc3fa2c0852995695c4a026dcd6d0633b2dd092ca39c1cf7"},
+]
+
 [[package]]
 name = "charset-normalizer"
 version = "2.1.1"
@@ -902,6 +970,26 @@ deprecation = ">=2.0,<3.0"
 [package.extras]
 pydantic = ["pydantic (>=1.0.0,<3.0)"]
 
+[[package]]
+name = "cloudpathlib"
+version = "0.16.0"
+description = "pathlib-style classes for cloud storage services."
+optional = false
+python-versions = ">=3.7"
+files = [
+    {file = "cloudpathlib-0.16.0-py3-none-any.whl", hash = "sha256:f46267556bf91f03db52b5df7a152548596a15aabca1c8731ef32b0b25a1a6a3"},
+    {file = "cloudpathlib-0.16.0.tar.gz", hash = "sha256:cdfcd35d46d529587d744154a0bdf962aca953b725c8784cd2ec478354ea63a3"},
+]
+
+[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 = "colorama"
 version = "0.4.6"
@@ -930,6 +1018,21 @@ humanfriendly = ">=9.1"
 [package.extras]
 cron = ["capturer (>=2.4)"]
 
+[[package]]
+name = "confection"
+version = "0.1.4"
+description = "The sweetest config system for Python"
+optional = false
+python-versions = ">=3.6"
+files = [
+    {file = "confection-0.1.4-py3-none-any.whl", hash = "sha256:a658818d004939069c3e2b3db74a2cb9d956a5e61a1c9ad61788e0ee09a7090f"},
+    {file = "confection-0.1.4.tar.gz", hash = "sha256:e80f22fd008b5231a2e8852fac6de9e28f2276a04031d0536cff74fe4a990c8f"},
+]
+
+[package.dependencies]
+pydantic = ">=1.7.4,<1.8 || >1.8,<1.8.1 || >1.8.1,<3.0.0"
+srsly = ">=2.4.0,<3.0.0"
+
 [[package]]
 name = "cosmpy"
 version = "0.9.2"
@@ -1118,6 +1221,59 @@ ssh = ["bcrypt (>=3.1.5)"]
 test = ["certifi", "pretend", "pytest (>=6.2.0)", "pytest-benchmark", "pytest-cov", "pytest-xdist"]
 test-randomorder = ["pytest-randomly"]
 
+[[package]]
+name = "cssselect"
+version = "1.2.0"
+description = "cssselect parses CSS3 Selectors and translates them to XPath 1.0"
+optional = false
+python-versions = ">=3.7"
+files = [
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+    {file = "cssselect-1.2.0.tar.gz", hash = "sha256:666b19839cfaddb9ce9d36bfe4c969132c647b92fc9088c4e23f786b30f1b3dc"},
+]
+
+[[package]]
+name = "cymem"
+version = "2.0.8"
+description = "Manage calls to calloc/free through Cython"
+optional = false
+python-versions = "*"
+files = [
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+    {file = "cymem-2.0.8-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:a4f8f2bfee34f6f38b206997727d29976666c89843c071a968add7d61a1e8024"},
+    {file = "cymem-2.0.8-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:7372e2820fa66fd47d3b135f3eb574ab015f90780c3a21cfd4809b54f23a4723"},
+    {file = "cymem-2.0.8-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:e4e57bee56d35b90fc2cba93e75b2ce76feaca05251936e28a96cf812a1f5dda"},
+    {file = "cymem-2.0.8-cp39-cp39-win_amd64.whl", hash = "sha256:ceeab3ce2a92c7f3b2d90854efb32cb203e78cb24c836a5a9a2cac221930303b"},
+    {file = "cymem-2.0.8.tar.gz", hash = "sha256:8fb09d222e21dcf1c7e907dc85cf74501d4cea6c4ed4ac6c9e016f98fb59cbbf"},
+]
+
 [[package]]
 name = "cytoolz"
 version = "0.12.3"
@@ -2327,22 +2483,23 @@ protobuf = ">=4.21.6"
 
 [[package]]
 name = "gunicorn"
-version = "21.2.0"
+version = "22.0.0"
 description = "WSGI HTTP Server for UNIX"
 optional = false
-python-versions = ">=3.5"
+python-versions = ">=3.7"
 files = [
-    {file = "gunicorn-21.2.0-py3-none-any.whl", hash = "sha256:3213aa5e8c24949e792bcacfc176fef362e7aac80b76c56f6b5122bf350722f0"},
-    {file = "gunicorn-21.2.0.tar.gz", hash = "sha256:88ec8bff1d634f98e61b9f65bc4bf3cd918a90806c6f5c48bc5603849ec81033"},
+    {file = "gunicorn-22.0.0-py3-none-any.whl", hash = "sha256:350679f91b24062c86e386e198a15438d53a7a8207235a78ba1b53df4c4378d9"},
+    {file = "gunicorn-22.0.0.tar.gz", hash = "sha256:4a0b436239ff76fb33f11c07a16482c521a7e09c1ce3cc293c2330afe01bec63"},
 ]
 
 [package.dependencies]
 packaging = "*"
 
 [package.extras]
-eventlet = ["eventlet (>=0.24.1)"]
+eventlet = ["eventlet (>=0.24.1,!=0.36.0)"]
 gevent = ["gevent (>=1.4.0)"]
 setproctitle = ["setproctitle"]
+testing = ["coverage", "eventlet", "gevent", "pytest", "pytest-cov"]
 tornado = ["tornado (>=0.2)"]
 
 [[package]]
@@ -2683,13 +2840,13 @@ colors = ["colorama (>=0.4.6)"]
 
 [[package]]
 name = "itsdangerous"
-version = "2.1.2"
+version = "2.2.0"
 description = "Safely pass data to untrusted environments and back."
 optional = false
-python-versions = ">=3.7"
+python-versions = ">=3.8"
 files = [
-    {file = "itsdangerous-2.1.2-py3-none-any.whl", hash = "sha256:2c2349112351b88699d8d4b6b075022c0808887cb7ad10069318a8b0bc88db44"},
-    {file = "itsdangerous-2.1.2.tar.gz", hash = "sha256:5dbbc68b317e5e42f327f9021763545dc3fc3bfe22e6deb96aaf1fc38874156a"},
+    {file = "itsdangerous-2.2.0-py3-none-any.whl", hash = "sha256:c6242fc49e35958c8b15141343aa660db5fc54d4f13a1db01a3f5891b98700ef"},
+    {file = "itsdangerous-2.2.0.tar.gz", hash = "sha256:e0050c0b7da1eea53ffaf149c0cfbb5c6e2e2b69c4bef22c81fa6eb73e5f6173"},
 ]
 
 [[package]]
@@ -2987,6 +3144,20 @@ langchain-core = ">=0.1.28,<0.2.0"
 [package.extras]
 extended-testing = ["lxml (>=5.1.0,<6.0.0)"]
 
+[[package]]
+name = "langcodes"
+version = "3.3.0"
+description = "Tools for labeling human languages with IETF language tags"
+optional = false
+python-versions = ">=3.6"
+files = [
+    {file = "langcodes-3.3.0-py3-none-any.whl", hash = "sha256:4d89fc9acb6e9c8fdef70bcdf376113a3db09b67285d9e1d534de6d8818e7e69"},
+    {file = "langcodes-3.3.0.tar.gz", hash = "sha256:794d07d5a28781231ac335a1561b8442f8648ca07cd518310aeb45d6f0807ef6"},
+]
+
+[package.extras]
+data = ["language-data (>=1.1,<2.0)"]
+
 [[package]]
 name = "langsmith"
 version = "0.1.48"
@@ -3316,6 +3487,9 @@ files = [
     {file = "lxml-5.2.1.tar.gz", hash = "sha256:3f7765e69bbce0906a7c74d5fe46d2c7a7596147318dbc08e4a2431f3060e306"},
 ]
 
+[package.dependencies]
+lxml-html-clean = {version = "*", optional = true, markers = "extra == \"html-clean\""}
+
 [package.extras]
 cssselect = ["cssselect (>=0.7)"]
 html-clean = ["lxml-html-clean"]
@@ -3323,6 +3497,20 @@ html5 = ["html5lib"]
 htmlsoup = ["BeautifulSoup4"]
 source = ["Cython (>=3.0.10)"]
 
+[[package]]
+name = "lxml-html-clean"
+version = "0.1.1"
+description = "HTML cleaner from lxml project"
+optional = false
+python-versions = "*"
+files = [
+    {file = "lxml_html_clean-0.1.1-py3-none-any.whl", hash = "sha256:58c04176593c9caf72ec92e033d2f38859e918b3eff0cc0f8051ad27dc2ab8ef"},
+    {file = "lxml_html_clean-0.1.1.tar.gz", hash = "sha256:8a644ed01dbbe132fabddb9467f077f6dad12a1d4f3a6a553e280f3815fa46df"},
+]
+
+[package.dependencies]
+lxml = "*"
+
 [[package]]
 name = "markdown-it-py"
 version = "3.0.0"
@@ -3817,6 +4005,48 @@ files = [
     {file = "multidict-6.0.5.tar.gz", hash = "sha256:f7e301075edaf50500f0b341543c41194d8df3ae5caf4702f2095f3ca73dd8da"},
 ]
 
+[[package]]
+name = "murmurhash"
+version = "1.0.10"
+description = "Cython bindings for MurmurHash"
+optional = false
+python-versions = ">=3.6"
+files = [
+    {file = "murmurhash-1.0.10-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:3e90eef568adca5e17a91f96975e9a782ace3a617bbb3f8c8c2d917096e9bfeb"},
+    {file = "murmurhash-1.0.10-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:f8ecb00cc1ab57e4b065f9fb3ea923b55160c402d959c69a0b6dbbe8bc73efc3"},
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+
 [[package]]
 name = "mypy"
 version = "1.9.0"
@@ -4161,13 +4391,13 @@ web3 = ">=6.0.0,<7"
 
 [[package]]
 name = "openai"
-version = "1.19.0"
+version = "1.20.0"
 description = "The official Python library for the openai API"
 optional = false
 python-versions = ">=3.7.1"
 files = [
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 [package.dependencies]
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@@ -4821,6 +5050,52 @@ web3 = ">=6.15.1,<7.0.0"
 google = ["google-api-python-client (==2.95.0)"]
 langchain = ["langchain (>=0.1.9,<0.2.0)", "langchain-openai (>=0.0.5,<0.0.6)"]
 
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+optional = false
+python-versions = ">=3.6"
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+]
+
+[package.dependencies]
+cymem = ">=2.0.2,<2.1.0"
+murmurhash = ">=0.28.0,<1.1.0"
+
 [[package]]
 name = "proto-plus"
 version = "1.23.0"
@@ -5025,13 +5300,13 @@ pyasn1 = ">=0.4.6,<0.7.0"
 
 [[package]]
 name = "pyautogen"
-version = "0.2.24"
+version = "0.2.25"
 description = "Enabling Next-Gen LLM Applications via Multi-Agent Conversation Framework"
 optional = false
 python-versions = "<3.13,>=3.8"
 files = [
-    {file = "pyautogen-0.2.24-py3-none-any.whl", hash = "sha256:f998864fa04da77326d8ff5844dfd189c7808b78fb68092f2730127a9c9f0659"},
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+    {file = "pyautogen-0.2.25-py3-none-any.whl", hash = "sha256:a17090f445d3af969ce7440686866333b43321067a68f9bd56c497eea0c8e750"},
+    {file = "pyautogen-0.2.25.tar.gz", hash = "sha256:3cfff3e13bcb13a1bddc322effd4715670b4c3ba3f8d0548a7329154c8ac0ab6"},
 ]
 
 [package.dependencies]
@@ -5049,6 +5324,7 @@ tiktoken = "*"
 autobuild = ["chromadb", "huggingface-hub", "sentence-transformers"]
 blendsearch = ["flaml[blendsearch]"]
 cosmosdb = ["azure-cosmos (>=4.2.0)"]
+gemini = ["google-generativeai (>=0.5,<1)", "pillow", "pydantic"]
 graph = ["matplotlib", "networkx"]
 jupyter-executor = ["ipykernel (>=6.29.0)", "jupyter-client (>=8.6.0)", "jupyter-kernel-gateway", "requests", "websocket-client"]
 lmm = ["pillow", "replicate"]
@@ -5688,6 +5964,25 @@ files = [
 [package.extras]
 full = ["numpy"]
 
+[[package]]
+name = "readability-lxml"
+version = "0.8.1"
+description = "fast html to text parser (article readability tool) with python 3 support"
+optional = false
+python-versions = "*"
+files = [
+    {file = "readability-lxml-0.8.1.tar.gz", hash = "sha256:e51fea56b5909aaf886d307d48e79e096293255afa567b7d08bca94d25b1a4e1"},
+    {file = "readability_lxml-0.8.1-py3-none-any.whl", hash = "sha256:e0d366a21b1bd6cca17de71a4e6ea16fcfaa8b0a5b4004e39e2c7eff884e6305"},
+]
+
+[package.dependencies]
+chardet = "*"
+cssselect = "*"
+lxml = "*"
+
+[package.extras]
+test = ["timeout-decorator"]
+
 [[package]]
 name = "regex"
 version = "2023.12.25"
@@ -6082,6 +6377,27 @@ files = [
     {file = "six-1.16.0.tar.gz", hash = "sha256:1e61c37477a1626458e36f7b1d82aa5c9b094fa4802892072e49de9c60c4c926"},
 ]
 
+[[package]]
+name = "smart-open"
+version = "6.4.0"
+description = "Utils for streaming large files (S3, HDFS, GCS, Azure Blob Storage, gzip, bz2...)"
+optional = false
+python-versions = ">=3.6,<4.0"
+files = [
+    {file = "smart_open-6.4.0-py3-none-any.whl", hash = "sha256:8d3ef7e6997e8e42dd55c74166ed21e6ac70664caa32dd940b26d54a8f6b4142"},
+    {file = "smart_open-6.4.0.tar.gz", hash = "sha256:be3c92c246fbe80ebce8fbacb180494a481a77fcdcb7c1aadb2ea5b9c2bee8b9"},
+]
+
+[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 = "smmap"
 version = "5.0.1"
@@ -6115,6 +6431,116 @@ files = [
     {file = "soupsieve-2.5.tar.gz", hash = "sha256:5663d5a7b3bfaeee0bc4372e7fc48f9cff4940b3eec54a6451cc5299f1097690"},
 ]
 
+[[package]]
+name = "spacy"
+version = "3.7.4"
+description = "Industrial-strength Natural Language Processing (NLP) in Python"
+optional = false
+python-versions = ">=3.7"
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+
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+huggingface-hub = ">=0.16.4,<1.0"
 
 [package.extras]
 dev = ["tokenizers[testing]"]
-docs = ["setuptools_rust", "sphinx", "sphinx_rtd_theme"]
-testing = ["black (==22.3)", "datasets", "numpy", "pytest", "requests"]
+docs = ["setuptools-rust", "sphinx", "sphinx-rtd-theme"]
+testing = ["black (==22.3)", "datasets", "numpy", "pytest", "requests", "ruff"]
 
 [[package]]
 name = "toml"
@@ -6656,13 +7200,13 @@ test = ["black (>=22.3.0,<23.0.0)", "coverage (>=6.2,<7.0)", "isort (>=5.0.6,<6.
 
 [[package]]
 name = "types-pytz"
-version = "2024.1.0.20240203"
+version = "2024.1.0.20240417"
 description = "Typing stubs for pytz"
 optional = false
 python-versions = ">=3.8"
 files = [
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 ]
 
 [[package]]
@@ -6836,13 +7380,13 @@ files = [
 
 [[package]]
 name = "virtualenv"
-version = "20.25.1"
+version = "20.25.2"
 description = "Virtual Python Environment builder"
 optional = false
 python-versions = ">=3.7"
 files = [
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 ]
 
 [package.dependencies]
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 platformdirs = ">=3.9.1,<5"
 
 [package.extras]
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+[[package]]
+name = "wasabi"
+version = "1.1.2"
+description = "A lightweight console printing and formatting toolkit"
+optional = false
+python-versions = ">=3.6"
+files = [
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+
+[package.dependencies]
+colorama = {version = ">=0.4.6", markers = "sys_platform == \"win32\" and python_version >= \"3.7\""}
+
 [[package]]
 name = "watchdog"
 version = "4.0.0"
@@ -6982,6 +7540,28 @@ files = [
 [package.dependencies]
 anyio = ">=3.0.0"
 
+[[package]]
+name = "weasel"
+version = "0.3.4"
+description = "Weasel: A small and easy workflow system"
+optional = false
+python-versions = ">=3.6"
+files = [
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+
+[package.dependencies]
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+confection = ">=0.0.4,<0.2.0"
+packaging = ">=20.0"
+pydantic = ">=1.7.4,<1.8 || >1.8,<1.8.1 || >1.8.1,<3.0.0"
+requests = ">=2.13.0,<3.0.0"
+smart-open = ">=5.2.1,<7.0.0"
+srsly = ">=2.4.3,<3.0.0"
+typer = ">=0.3.0,<0.10.0"
+wasabi = ">=0.9.1,<1.2.0"
+
 [[package]]
 name = "web3"
 version = "6.17.1"
@@ -7415,4 +7995,4 @@ testing = ["big-O", "jaraco.functools", "jaraco.itertools", "more-itertools", "p
 [metadata]
 lock-version = "2.0"
 python-versions = "~3.10.0"
-content-hash = "97da3c917c6177f859c7ecaae1085c55d77748cc90901ecd13ab855b7dda21b2"
+content-hash = "373cb119978ec028f5ea37deb5512a96738d246fbd2a2db543662d12c3618a75"
diff --git a/prediction_market_agent/agents/microchain_agent/functions.py b/prediction_market_agent/agents/microchain_agent/functions.py
index bcad4bc..931425a 100644
--- a/prediction_market_agent/agents/microchain_agent/functions.py
+++ b/prediction_market_agent/agents/microchain_agent/functions.py
@@ -1,9 +1,7 @@
-import json
 import typing as t
 from decimal import Decimal
 
 from eth_utils import to_checksum_address
-from mech_client.interact import interact
 from microchain import Function
 from prediction_market_agent_tooling.markets.agent_market import AgentMarket
 from prediction_market_agent_tooling.markets.data_models import Currency, TokenAmount
@@ -13,11 +11,10 @@
     OmenSubgraphHandler,
 )
 
-from prediction_market_agent.agents.microchain_agent.mech.mech.packages.polywrap.customs.prediction_with_research_report import (
-    prediction_with_research_report,
-)
 from prediction_market_agent.agents.microchain_agent.utils import (
     MechResult,
+    MechTool,
+    MicrochainAPIKeys,
     MicroMarket,
     get_balance,
     get_binary_markets,
@@ -25,9 +22,9 @@
     get_example_market_id,
     get_no_outcome,
     get_yes_outcome,
-    saved_str_to_tmpfile,
+    mech_request,
+    mech_request_local,
 )
-from prediction_market_agent.utils import APIKeys, completion_str_to_json
 
 
 class Sum(Function):
@@ -105,15 +102,22 @@ def __call__(self, market_id: str) -> list[str]:
         ]
 
 
-class PredictProbabilityForQuestion(MarketFunction):
-    @property
-    def description(self) -> str:
-        return (
+class PredictProbabilityForQuestionBase(MarketFunction):
+    def __init__(
+        self,
+        mech_request: t.Callable[[str, MechTool], MechResult],
+        market_type: MarketType,
+        mech_tool: MechTool = MechTool.PREDICTION_ONLINE,
+    ) -> None:
+        self.mech_tool = mech_tool
+        self.mech_request = mech_request
+        self._description = (
             "Use this function to research perform research and predict the "
             "probability of an event occuring. Returns the probability. The "
             "one parameter is the market id of the prediction market you want "
-            "to predict the probability of. Note, this costs money to run."
+            "to predict the probability of."
         )
+        super().__init__(market_type=market_type)
 
     @property
     def example_args(self) -> list[str]:
@@ -123,7 +127,24 @@ def __call__(self, market_id: str) -> str:
         question = self.market_type.market_class.get_binary_market(
             id=market_id
         ).question
-        private_key = APIKeys().bet_from_private_key.get_secret_value()
+        result: MechResult = self.mech_request(question, self.mech_tool)
+        return str(result.p_yes)
+
+
+class PredictProbabilityForQuestionRemote(PredictProbabilityForQuestionBase):
+    def __init__(
+        self,
+        market_type: MarketType,
+        mech_tool: MechTool = MechTool.PREDICTION_ONLINE,
+    ) -> None:
+        self.mech_tool = mech_tool
+        super().__init__(market_type=market_type, mech_request=mech_request)
+
+    @property
+    def description(self) -> str:
+        return self._description + " Note, this costs money to run."
+
+    def __call__(self, market_id: str) -> str:
         # 0.01 xDai is hardcoded cost for an interaction with the mech-client
         MECH_CALL_XDAI_LIMIT = 0.011
         account_balance = float(get_balance(market_type=self.market_type).amount)
@@ -133,51 +154,21 @@ def __call__(self, market_id: str) -> str:
                 f"large enough to make a mech call (min required "
                 f"{MECH_CALL_XDAI_LIMIT})."
             )
-        with saved_str_to_tmpfile(private_key) as tmpfile_path:
-            response = interact(
-                prompt=question,
-                # Taken from https://github.com/valory-xyz/mech?tab=readme-ov-file#examples-of-deployed-mechs
-                agent_id=3,
-                private_key_path=tmpfile_path,
-                # To see a list of available tools, comment out the tool parameter
-                # and run the function. You will be prompted to select a tool.
-                tool="claude-prediction-online",
-            )
-            result = json.loads(response["result"])
-            return str(MechResult.model_validate(result).p_yes)
+        return super().__call__(market_id)
 
 
-class PredictProbabilityForQuestionLocal(MarketFunction):
-    @property
-    def description(self) -> str:
-        return (
-            "Use this function to research perform research and predict the "
-            "probability of an event occuring. Returns the probability. The "
-            "one parameter is the market id of the prediction market you want "
-            "to predict the probability of."
-        )
+class PredictProbabilityForQuestionLocal(PredictProbabilityForQuestionBase):
+    def __init__(
+        self,
+        market_type: MarketType,
+        mech_tool: MechTool = MechTool.PREDICTION_ONLINE,
+    ) -> None:
+        self.mech_tool = mech_tool
+        super().__init__(market_type=market_type, mech_request=mech_request_local)
 
     @property
-    def example_args(self) -> list[str]:
-        return [get_example_market_id(self.market_type)]
-
-    def __call__(self, market_id: str) -> str:
-        question = self.market_type.market_class.get_binary_market(
-            id=market_id
-        ).question
-        keys = APIKeys()
-        openai_api_key = keys.openai_api_key.get_secret_value()
-        tavily_api_key = keys.tavily_api_key.get_secret_value()
-        response = prediction_with_research_report.run(
-            tool="prediction-with-research-conservative",
-            prompt=question,
-            api_keys={
-                "openai": openai_api_key,
-                "tavily": tavily_api_key,
-            },
-        )
-        result = completion_str_to_json(str(response[0]))
-        return str(MechResult.model_validate(result).p_yes)
+    def description(self) -> str:
+        return self._description
 
 
 class BuyTokens(MarketFunction):
@@ -186,7 +177,7 @@ def __init__(self, market_type: MarketType, outcome: str):
         self.outcome_bool = get_boolean_outcome(
             outcome=self.outcome, market_type=market_type
         )
-        self.user_address = APIKeys().bet_from_address
+        self.user_address = MicrochainAPIKeys().bet_from_address
         super().__init__(market_type=market_type)
 
     @property
@@ -247,7 +238,7 @@ def __init__(self, market_type: MarketType, outcome: str):
             outcome=self.outcome,
             market_type=market_type,
         )
-        self.user_address = APIKeys().bet_from_address
+        self.user_address = MicrochainAPIKeys().bet_from_address
         super().__init__(market_type=market_type)
 
     @property
@@ -354,7 +345,7 @@ def __call__(self, user_address: str) -> list[OmenUserPosition]:
 MARKET_FUNCTIONS: list[type[MarketFunction]] = [
     GetMarkets,
     GetMarketProbability,
-    # PredictProbabilityForQuestion, # Too flaky, use local version for now
+    # PredictProbabilityForQuestionRemote, # Quite slow, use local version for now
     PredictProbabilityForQuestionLocal,
     GetBalance,
     BuyYes,
diff --git a/prediction_market_agent/agents/microchain_agent/utils.py b/prediction_market_agent/agents/microchain_agent/utils.py
index 8244f2d..01247f3 100644
--- a/prediction_market_agent/agents/microchain_agent/utils.py
+++ b/prediction_market_agent/agents/microchain_agent/utils.py
@@ -3,7 +3,9 @@
 import typing as t
 from contextlib import contextmanager
 from decimal import Decimal
+from enum import Enum
 
+from mech_client.interact import ConfirmationType, interact
 from prediction_market_agent_tooling.markets.agent_market import (
     AgentMarket,
     FilterBy,
@@ -19,9 +21,35 @@
     get_boolean_outcome as get_omen_boolean_outcome,
 )
 from prediction_market_agent_tooling.tools.balances import get_balances
-from pydantic import BaseModel
+from prediction_market_agent_tooling.tools.utils import check_not_none
+from pydantic import BaseModel, SecretStr
 
-from prediction_market_agent.utils import APIKeys
+from prediction_market_agent.agents.microchain_agent.mech.mech.packages.polywrap.customs.prediction_with_research_report import (
+    prediction_with_research_report,
+)
+from prediction_market_agent.agents.microchain_agent.mech.mech.packages.valory.customs.prediction_request import (
+    prediction_request,
+)
+from prediction_market_agent.utils import APIKeys, completion_str_to_json
+
+
+class MicrochainAPIKeys(APIKeys):
+    GOOGLE_SEARCH_API_KEY: t.Optional[SecretStr] = None
+    GOOGLE_SEARCH_ENGINE_ID: t.Optional[SecretStr] = None
+
+    @property
+    def google_search_api_key(self) -> SecretStr:
+        return check_not_none(
+            self.GOOGLE_SEARCH_API_KEY,
+            "GOOGLE_SEARCH_API_KEY missing in the environment.",
+        )
+
+    @property
+    def google_search_engine_id(self) -> SecretStr:
+        return check_not_none(
+            self.GOOGLE_SEARCH_ENGINE_ID,
+            "GOOGLE_SEARCH_ENGINE_ID missing in the environment.",
+        )
 
 
 class MicroMarket(BaseModel):
@@ -66,7 +94,7 @@ def get_balance(market_type: MarketType) -> BetAmount:
     if market_type == MarketType.OMEN:
         # We focus solely on xDAI balance for now to avoid the agent having to wrap/unwrap xDAI.
         return BetAmount(
-            amount=Decimal(get_balances(APIKeys().bet_from_address).xdai),
+            amount=Decimal(get_balances(MicrochainAPIKeys().bet_from_address).xdai),
             currency=currency,
         )
     else:
@@ -111,3 +139,59 @@ def saved_str_to_tmpfile(s: str) -> t.Iterator[str]:
 
     # Finally remove the temporary file
     os.remove(tmp.name)
+
+
+class MechTool(str, Enum):
+    PREDICTION_WITH_RESEARCH_REPORT = "prediction-with-research-report-conservative"
+    PREDICTION_ONLINE = "prediction-online"
+
+
+def mech_request(question: str, mech_tool: MechTool) -> MechResult:
+    private_key = MicrochainAPIKeys().bet_from_private_key.get_secret_value()
+    with saved_str_to_tmpfile(private_key) as tmpfile_path:
+        # Increase gas price to reduce chance of 'out of gas' transaction failures
+        mech_strategy_env_var = "MECHX_LEDGER_DEFAULT_GAS_PRICE_STRATEGY"
+        if os.getenv(mech_strategy_env_var):
+            raise ValueError(f"{mech_strategy_env_var} already set in the environment.")
+        os.environ[mech_strategy_env_var] = "gas_station"
+
+        response = interact(
+            prompt=question,
+            # Taken from https://github.com/valory-xyz/mech?tab=readme-ov-file#examples-of-deployed-mechs
+            agent_id=6,
+            private_key_path=tmpfile_path,
+            # To see a list of available tools, comment out the tool parameter
+            # and run the function. You will be prompted to select a tool.
+            tool=mech_tool.value,
+            confirmation_type=ConfirmationType.WAIT_FOR_BOTH,
+        )
+        del os.environ[mech_strategy_env_var]
+        return MechResult.model_validate_json(response["result"])
+
+
+def mech_request_local(question: str, mech_tool: MechTool) -> MechResult:
+    keys = MicrochainAPIKeys()
+    if mech_tool == MechTool.PREDICTION_WITH_RESEARCH_REPORT:
+        response = prediction_with_research_report.run(
+            tool=mech_tool.value,
+            prompt=question,
+            api_keys={
+                "openai": keys.openai_api_key.get_secret_value(),
+                "tavily": keys.tavily_api_key.get_secret_value(),
+            },
+        )
+    elif mech_tool == MechTool.PREDICTION_ONLINE:
+        response = prediction_request.run(
+            tool=mech_tool.value,
+            prompt=question,
+            api_keys={
+                "openai": keys.openai_api_key.get_secret_value(),
+                "google_api_key": keys.google_search_api_key.get_secret_value(),
+                "google_engine_id": keys.google_search_engine_id.get_secret_value(),
+            },
+        )
+    else:
+        raise ValueError(f"Mech type '{mech_tool}' not supported")
+
+    result = completion_str_to_json(str(response[0]))
+    return MechResult.model_validate(result)
diff --git a/pyproject.toml b/pyproject.toml
index bb6e023..88518fb 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -45,6 +45,9 @@ microchain-python = "^0.3.5"
 setuptools = "^69.5.1"
 jsonschema = "^4.3.3"
 chromadb = "^0.4.24"
+spacy = "^3.7.4"
+readability-lxml = "^0.8.1"
+lxml = {extras = ["html-clean"], version = "^5.2.1"}
 
 [build-system]
 requires = ["poetry-core"]
diff --git a/tests/agents/microchain/test_functions.py b/tests/agents/microchain/test_functions.py
index e62db7b..dcdaaaf 100644
--- a/tests/agents/microchain/test_functions.py
+++ b/tests/agents/microchain/test_functions.py
@@ -16,8 +16,8 @@
     GetMarkets,
     GetUserPositions,
     MarketFunction,
-    PredictProbabilityForQuestion,
     PredictProbabilityForQuestionLocal,
+    PredictProbabilityForQuestionRemote,
     SellNo,
     SellYes,
 )
@@ -169,7 +169,7 @@ def get_balances() -> tuple[float, float]:
 @pytest.mark.parametrize(
     "prediction_method",
     [
-        PredictProbabilityForQuestion,
+        PredictProbabilityForQuestionRemote,
         PredictProbabilityForQuestionLocal,
     ],
 )