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First request · leoyeai | DecimalAI

Codingby leoyeai

First request

Query Web3 blockchain data from Moralis API.

SkillScore

SkillScore87/100

Test results 87

Safety

3/3 safety checks passed

Code scan
Intent
Content

What it changes

61%87%of test cases passed +26 pts

Without skill14 of 23

With skill20 of 23

6 fixed14 passed either way3 still failing0 broke

Measured on gemini-3.6-flash8/8/2026v121 comparable

Track record

Agent runs: 0; All time

See one task, with and without the skill

One test taskWrite a curl command to query the Ethereum mainnet native balance of wallet address 0xd8dA6BF26964aF9D7eEd9e03E53415D37aA96045 via Moralis API.

Without the skillMissed

With the skillPassed

Same model, same task. Answers are capped and redacted.

Use this skill

Your agent runs on

Adds every file the skill has, pinned so you can update it. No account needed.

pip install "decimalai>=0.15"
decimalai skills add leoyeai-moralis-data-api
claude --plugin-dir "$(git rev-parse --show-toplevel 2>/dev/null || pwd)/.agents"

The same install from Python, for a notebook or a setup script.

Install

pip install "decimalai>=0.15"

Add the skill

from decimalai import skillpkg

# Writes .agents/skills and .decimal/skills.toml. Safe to run twice.
result = skillpkg.add("leoyeai-moralis-data-api")
if result.exit_code:
    raise SystemExit(result.problems)

print("Added. Start Claude Code with the command below.")

Start Claude Code with it

claude --plugin-dir "$(git rev-parse --show-toplevel 2>/dev/null || pwd)/.agents"

Type these in a Claude Code session. No account or API key. It writes the skill and any files it bundles, and asks first when its safety rating isn't Passed.

Add the DecimalAI plugin, once

/plugin marketplace add decimal-labs/decimalai-claude-plugins
/plugin install decimalai@decimalai

Install this skill

/decimalai:install leoyeai-moralis-data-api

The plugin needs python3 and curl on your machine.

No Python or account. Claude Code picks it up in its next session.

Save it into your project

curl -fsSL --create-dirs -o .claude/skills/leoyeai-moralis-data-api/SKILL.md https://app.decimal.ai/s/leoyeai-moralis-data-api/SKILL.md

Copy SKILL.md

Save it in your project, as

.claude/skills/leoyeai-moralis-data-api/SKILL.md

This gets SKILL.md only. The skill's 13 other files are not included.

Other ways to add it

Claude Code docs

agent_config() hands your agent the skill. With no DecimalAI key it reads your project's files and sends nothing. Needs SDK 0.27 or newer.

Install

pip install "decimalai[claude-agent-sdk]"
decimalai skills add leoyeai-moralis-data-api

Add it to your agent

import asyncio

from claude_agent_sdk import ClaudeAgentOptions
from decimalai.claude_agent_sdk import agent_config

# With no DECIMAL_API_KEY this reads the skills your project lists, from disk.
support = agent_config("support", fallback="You are a helpful agent.")

async def main():
    question = "Hello!"
    async with support.run(question) as run:  # one user message, one run
        async for message in run.query(options=ClaudeAgentOptions(max_turns=6)):
            print(message)

# In a notebook or async code: await main()
asyncio.run(main())

Prefer its own loader? ClaudeAgentOptions(plugins=[skills_plugin()], skills="all") reads the same folder. Use one or the other: a skill delivered both ways reaches the prompt twice.

The same install from Python, for a notebook or a setup script. agent_config() hands your agent the skill. With no DecimalAI key it reads your project's files and sends nothing. Needs SDK 0.27 or newer.

Install

pip install "decimalai[claude-agent-sdk]"

Add it to your agent

from decimalai import skillpkg

# Writes .agents/skills and .decimal/skills.toml. Safe to run twice.
result = skillpkg.add("leoyeai-moralis-data-api")
if result.exit_code:
    raise SystemExit(result.problems)

import asyncio

from claude_agent_sdk import ClaudeAgentOptions
from decimalai.claude_agent_sdk import agent_config

# With no DECIMAL_API_KEY this reads the skills your project lists, from disk.
support = agent_config("support", fallback="You are a helpful agent.")

async def main():
    question = "Hello!"
    async with support.run(question) as run:  # one user message, one run
        async for message in run.query(options=ClaudeAgentOptions(max_turns=6)):
            print(message)

# In a notebook or async code: await main()
asyncio.run(main())

Prefer its own loader? ClaudeAgentOptions(plugins=[skills_plugin()], skills="all") reads the same folder. Use one or the other: a skill delivered both ways reaches the prompt twice.

No DecimalAI package. The whole skill goes in every prompt, and nothing pins or updates it.

Copy SKILL.md

Save it in your project, as

.agents/skills/leoyeai-moralis-data-api/SKILL.md

Give it to your agent

import asyncio
from pathlib import Path
from claude_agent_sdk import ClaudeAgentOptions, query

skill = Path(".agents/skills/leoyeai-moralis-data-api/SKILL.md").read_text()
options = ClaudeAgentOptions(system_prompt=f"You are a helpful agent.\n\n{skill}", max_turns=6)

async def main():
    async for message in query(prompt="Hello!", options=options):
        print(message)

# In a notebook or async code: await main()
asyncio.run(main())

This gets SKILL.md only. The skill's 13 other files are not included.

Other ways to add it

Claude Agent SDK docs

agent_config() hands your agent the skill. With no DecimalAI key it reads your project's files and sends nothing. Needs SDK 0.27 or newer.

Install

pip install "decimalai[openai-agents]"
decimalai skills add leoyeai-moralis-data-api

Add it to your agent

from agents import Agent, Runner
from decimalai.openai_agents import agent_config

# With no DECIMAL_API_KEY this reads the skills your project lists, from disk.
support = agent_config("support", fallback="You are a helpful agent.")

agent = Agent(
    name=support.name,
    instructions=support.instructions,  # your prompt, then the skill list
    tools=[*support.tools],             # your tools, then load_skill
)
# In a notebook or async code: result = await Runner.run(agent, "Hello!")
result = Runner.run_sync(agent, "Hello!")

Using SandboxAgent? capabilities=[Shell(), decimalai.openai_agents.sandbox_skills()] points its own loader at the same folder.

Install

pip install "decimalai[openai-agents]"

Add it to your agent

from decimalai import skillpkg

# Writes .agents/skills and .decimal/skills.toml. Safe to run twice.
result = skillpkg.add("leoyeai-moralis-data-api")
if result.exit_code:
    raise SystemExit(result.problems)

from agents import Agent, Runner
from decimalai.openai_agents import agent_config

# With no DECIMAL_API_KEY this reads the skills your project lists, from disk.
support = agent_config("support", fallback="You are a helpful agent.")

agent = Agent(
    name=support.name,
    instructions=support.instructions,  # your prompt, then the skill list
    tools=[*support.tools],             # your tools, then load_skill
)
# In a notebook or async code: result = await Runner.run(agent, "Hello!")
result = Runner.run_sync(agent, "Hello!")

Using SandboxAgent? capabilities=[Shell(), decimalai.openai_agents.sandbox_skills()] points its own loader at the same folder.

No DecimalAI package. The whole skill goes in every prompt, and nothing pins or updates it.

Copy SKILL.md

Save it in your project, as

.agents/skills/leoyeai-moralis-data-api/SKILL.md

Give it to your agent

from pathlib import Path
from agents import Agent, Runner

skill = Path(".agents/skills/leoyeai-moralis-data-api/SKILL.md").read_text()
agent = Agent(name="support", instructions=f"You are a helpful agent.\n\n{skill}")
# In a notebook or async code: result = await Runner.run(agent, "Hello!")
result = Runner.run_sync(agent, "Hello!")

This gets SKILL.md only. The skill's 13 other files are not included.

Other ways to add it

OpenAI Agents docs

agent_config() hands your agent the skill. With no DecimalAI key it reads your project's files and sends nothing. Needs SDK 0.27 or newer.

Install

pip install "decimalai[openai]"
decimalai skills add leoyeai-moralis-data-api

Add it to your agent

import json

from openai import OpenAI
from decimalai.openai import agent_config

client = OpenAI()
# With no DECIMAL_API_KEY this reads the skills your project lists, from disk.
support = agent_config("support", fallback="You are a helpful agent.")


def lookup_order(order_id: str) -> str:
    return f"Order {order_id} shipped yesterday."


# Your tools, as Chat Completions takes them, and what answers each.
TOOLS = [{"type": "function", "function": {
    "name": "lookup_order",
    "description": "Look up the status of an order.",
    "parameters": {"type": "object", "properties": {"order_id": {"type": "string"}},
                   "required": ["order_id"]},
}}]
FUNCTIONS = {"lookup_order": lookup_order}

question = "Where is order A1001?"
with support.run(question) as run:  # one user message, one run
    # run.system is your prompt, then the skill list.
    messages = [{"role": "system", "content": run.system}, run.message]
    while True:
        reply = client.chat.completions.create(
            model="gpt-5.4-mini",
            messages=messages,
            tools=[*TOOLS, *run.tools],  # your tools, then load_skill
        ).choices[0].message
        messages.append(reply)
        if not reply.tool_calls:
            break
        for call in reply.tool_calls:
            # load_skill is answered by the run; your own tools by FUNCTIONS.
            function = FUNCTIONS.get(call.function.name)
            messages.append(run.tool_result(call) or {
                "role": "tool", "tool_call_id": call.id,
                "content": function(**json.loads(call.function.arguments)) if function
                else f"There is no tool named {call.function.name!r}.",
            })
print(reply.content)

# The Responses API takes run.response_tools instead of run.tools.

Install

pip install "decimalai[openai]"

Add it to your agent

from decimalai import skillpkg

# Writes .agents/skills and .decimal/skills.toml. Safe to run twice.
result = skillpkg.add("leoyeai-moralis-data-api")
if result.exit_code:
    raise SystemExit(result.problems)

import json

from openai import OpenAI
from decimalai.openai import agent_config

client = OpenAI()
# With no DECIMAL_API_KEY this reads the skills your project lists, from disk.
support = agent_config("support", fallback="You are a helpful agent.")


def lookup_order(order_id: str) -> str:
    return f"Order {order_id} shipped yesterday."


# Your tools, as Chat Completions takes them, and what answers each.
TOOLS = [{"type": "function", "function": {
    "name": "lookup_order",
    "description": "Look up the status of an order.",
    "parameters": {"type": "object", "properties": {"order_id": {"type": "string"}},
                   "required": ["order_id"]},
}}]
FUNCTIONS = {"lookup_order": lookup_order}

question = "Where is order A1001?"
with support.run(question) as run:  # one user message, one run
    # run.system is your prompt, then the skill list.
    messages = [{"role": "system", "content": run.system}, run.message]
    while True:
        reply = client.chat.completions.create(
            model="gpt-5.4-mini",
            messages=messages,
            tools=[*TOOLS, *run.tools],  # your tools, then load_skill
        ).choices[0].message
        messages.append(reply)
        if not reply.tool_calls:
            break
        for call in reply.tool_calls:
            # load_skill is answered by the run; your own tools by FUNCTIONS.
            function = FUNCTIONS.get(call.function.name)
            messages.append(run.tool_result(call) or {
                "role": "tool", "tool_call_id": call.id,
                "content": function(**json.loads(call.function.arguments)) if function
                else f"There is no tool named {call.function.name!r}.",
            })
print(reply.content)

# The Responses API takes run.response_tools instead of run.tools.

No DecimalAI package. The whole skill goes in every prompt, and nothing pins or updates it.

Copy SKILL.md

Save it in your project, as

.agents/skills/leoyeai-moralis-data-api/SKILL.md

Give it to your agent

from pathlib import Path
from openai import OpenAI

client = OpenAI()
skill = Path(".agents/skills/leoyeai-moralis-data-api/SKILL.md").read_text()
reply = client.chat.completions.create(
    model="gpt-5.4-mini",
    messages=[
        {"role": "system", "content": f"You are a helpful agent.\n\n{skill}"},
        {"role": "user", "content": "Hello!"},
    ],
).choices[0].message

This gets SKILL.md only. The skill's 13 other files are not included.

Other ways to add it

OpenAI SDK docs

agent_config() hands your agent the skill. With no DecimalAI key it reads your project's files and sends nothing. Needs SDK 0.27 or newer.

Install

pip install "decimalai[anthropic]"
decimalai skills add leoyeai-moralis-data-api

Add it to your agent

import anthropic
from decimalai.anthropic import agent_config

client = anthropic.Anthropic()
# With no DECIMAL_API_KEY this reads the skills your project lists, from disk.
support = agent_config("support", fallback="You are a helpful agent.")

question = "Hello!"
with support.run(question) as run:  # one user message, one run
    answer = client.beta.messages.tool_runner(
        model="claude-haiku-5-5",
        max_tokens=4096,
        system=run.system,     # your prompt, then the skill list
        tools=[*run.tools],    # your tools, then load_skill
        messages=[{"role": "user", "content": question}],
    ).until_done()

Install

pip install "decimalai[anthropic]"

Add it to your agent

from decimalai import skillpkg

# Writes .agents/skills and .decimal/skills.toml. Safe to run twice.
result = skillpkg.add("leoyeai-moralis-data-api")
if result.exit_code:
    raise SystemExit(result.problems)

import anthropic
from decimalai.anthropic import agent_config

client = anthropic.Anthropic()
# With no DECIMAL_API_KEY this reads the skills your project lists, from disk.
support = agent_config("support", fallback="You are a helpful agent.")

question = "Hello!"
with support.run(question) as run:  # one user message, one run
    answer = client.beta.messages.tool_runner(
        model="claude-haiku-5-5",
        max_tokens=4096,
        system=run.system,     # your prompt, then the skill list
        tools=[*run.tools],    # your tools, then load_skill
        messages=[{"role": "user", "content": question}],
    ).until_done()

No DecimalAI package. The whole skill goes in every prompt, and nothing pins or updates it.

Copy SKILL.md

Save it in your project, as

.agents/skills/leoyeai-moralis-data-api/SKILL.md

Give it to your agent

from pathlib import Path
import anthropic

client = anthropic.Anthropic()
skill = Path(".agents/skills/leoyeai-moralis-data-api/SKILL.md").read_text()
reply = client.messages.create(
    model="claude-haiku-5-5",
    max_tokens=4096,
    system=f"You are a helpful agent.\n\n{skill}",
    messages=[{"role": "user", "content": "Hello!"}],
)

This gets SKILL.md only. The skill's 13 other files are not included.

Other ways to add it

Anthropic docs

agent_config() hands your agent the skill. With no DecimalAI key it reads your project's files and sends nothing. Needs SDK 0.27 or newer.

Install

pip install "decimalai[google-genai]"
decimalai skills add leoyeai-moralis-data-api

Add it to your agent

from google import genai
from google.genai import types
from decimalai.google_genai import agent_config

client = genai.Client()
# With no DECIMAL_API_KEY this reads the skills your project lists, from disk.
support = agent_config("support", fallback="You are a helpful agent.")


def lookup_order(order_id: str) -> str:
    return f"Order {order_id} shipped yesterday."


# Your functions, as declarations for the model, and what answers each.
TOOLS = [{"function_declarations": [{
    "name": "lookup_order",
    "description": "Look up the status of an order.",
    "parameters_json_schema": {"type": "object", "properties": {"order_id": {"type": "string"}},
                               "required": ["order_id"]},
}]}]
FUNCTIONS = {"lookup_order": lookup_order}

question = "Where is order A1001?"
with support.run(question) as run:  # one user message, one run
    config = types.GenerateContentConfig(
        system_instruction=run.system,     # your prompt, then the skill list
        tools=[*TOOLS, *run.tool_params],  # your functions, then load_skill
    )
    contents = [{"role": "user", "parts": [{"text": run.message}]}]
    while True:
        response = client.models.generate_content(
            model="gemini-3.5-flash", contents=contents, config=config,
        )
        if not response.function_calls:
            break
        contents.append(response.candidates[0].content)
        parts = []
        for call in response.function_calls:
            # load_skill is answered by the run; your own functions by FUNCTIONS.
            # A loop of your own rather than automatic function calling, which
            # raises KeyError when the model asks for a function you did not pass.
            function = FUNCTIONS.get(call.name)
            parts.append(run.tool_result(call) or {"function_response": {
                "name": call.name, "id": call.id,
                "response": {"result": function(**(call.args or {})) if function
                             else f"There is no function named {call.name!r}."},
            }})
        contents.append({"role": "user", "parts": parts})
print(response.text)

Install

pip install "decimalai[google-genai]"

Add it to your agent

from decimalai import skillpkg

# Writes .agents/skills and .decimal/skills.toml. Safe to run twice.
result = skillpkg.add("leoyeai-moralis-data-api")
if result.exit_code:
    raise SystemExit(result.problems)

from google import genai
from google.genai import types
from decimalai.google_genai import agent_config

client = genai.Client()
# With no DECIMAL_API_KEY this reads the skills your project lists, from disk.
support = agent_config("support", fallback="You are a helpful agent.")


def lookup_order(order_id: str) -> str:
    return f"Order {order_id} shipped yesterday."


# Your functions, as declarations for the model, and what answers each.
TOOLS = [{"function_declarations": [{
    "name": "lookup_order",
    "description": "Look up the status of an order.",
    "parameters_json_schema": {"type": "object", "properties": {"order_id": {"type": "string"}},
                               "required": ["order_id"]},
}]}]
FUNCTIONS = {"lookup_order": lookup_order}

question = "Where is order A1001?"
with support.run(question) as run:  # one user message, one run
    config = types.GenerateContentConfig(
        system_instruction=run.system,     # your prompt, then the skill list
        tools=[*TOOLS, *run.tool_params],  # your functions, then load_skill
    )
    contents = [{"role": "user", "parts": [{"text": run.message}]}]
    while True:
        response = client.models.generate_content(
            model="gemini-3.5-flash", contents=contents, config=config,
        )
        if not response.function_calls:
            break
        contents.append(response.candidates[0].content)
        parts = []
        for call in response.function_calls:
            # load_skill is answered by the run; your own functions by FUNCTIONS.
            # A loop of your own rather than automatic function calling, which
            # raises KeyError when the model asks for a function you did not pass.
            function = FUNCTIONS.get(call.name)
            parts.append(run.tool_result(call) or {"function_response": {
                "name": call.name, "id": call.id,
                "response": {"result": function(**(call.args or {})) if function
                             else f"There is no function named {call.name!r}."},
            }})
        contents.append({"role": "user", "parts": parts})
print(response.text)

No DecimalAI package. The whole skill goes in every prompt, and nothing pins or updates it.

Copy SKILL.md

Save it in your project, as

.agents/skills/leoyeai-moralis-data-api/SKILL.md

Give it to your agent

from pathlib import Path
from google import genai
from google.genai import types

client = genai.Client()
skill = Path(".agents/skills/leoyeai-moralis-data-api/SKILL.md").read_text()
response = client.models.generate_content(
    model="gemini-3.5-flash",
    contents="Hello!",
    config=types.GenerateContentConfig(system_instruction=f"You are a helpful agent.\n\n{skill}"),
)

This gets SKILL.md only. The skill's 13 other files are not included.

Other ways to add it

Gemini API docs

agent_config() hands your agent the skill. With no DecimalAI key it reads your project's files and sends nothing. Needs SDK 0.27 or newer.

Install

pip install "decimalai[langchain]" langchain-openai
decimalai skills add leoyeai-moralis-data-api

Add it to your agent

from langchain.agents import create_agent
from decimalai.langchain import agent_config

# With no DECIMAL_API_KEY this reads the skills your project lists, from disk.
support = agent_config("support", fallback="You are a helpful agent.")

agent = create_agent(
    "openai:gpt-5.4-mini",
    tools=[],                         # your tools; the middleware adds load_skill
    middleware=[support.middleware],  # your prompt, the skill list and load_skill
)
result = agent.invoke({"messages": [{"role": "user", "content": "Hello!"}]})

Install

pip install "decimalai[langchain]" langchain-openai

Add it to your agent

from decimalai import skillpkg

# Writes .agents/skills and .decimal/skills.toml. Safe to run twice.
result = skillpkg.add("leoyeai-moralis-data-api")
if result.exit_code:
    raise SystemExit(result.problems)

from langchain.agents import create_agent
from decimalai.langchain import agent_config

# With no DECIMAL_API_KEY this reads the skills your project lists, from disk.
support = agent_config("support", fallback="You are a helpful agent.")

agent = create_agent(
    "openai:gpt-5.4-mini",
    tools=[],                         # your tools; the middleware adds load_skill
    middleware=[support.middleware],  # your prompt, the skill list and load_skill
)
result = agent.invoke({"messages": [{"role": "user", "content": "Hello!"}]})

No DecimalAI package. The whole skill goes in every prompt, and nothing pins or updates it.

Copy SKILL.md

Save it in your project, as

.agents/skills/leoyeai-moralis-data-api/SKILL.md

Give it to your agent

from pathlib import Path
from langchain.agents import create_agent

skill = Path(".agents/skills/leoyeai-moralis-data-api/SKILL.md").read_text()
agent = create_agent("openai:gpt-5.4-mini", tools=[], system_prompt=f"You are a helpful agent.\n\n{skill}")
result = agent.invoke({"messages": [{"role": "user", "content": "Hello!"}]})

This gets SKILL.md only. The skill's 13 other files are not included.

Other ways to add it

LangChain docs

CrewAI's own skill loader reads the installed folder. No DecimalAI account needed.

Install

pip install "decimalai>=0.16" "crewai>=1.15.27"
decimalai skills add leoyeai-moralis-data-api

Add it to your agent

import decimalai.crewai
from crewai import Agent, Crew, Task

agent = Agent(
    role="Support", goal="Help the customer", backstory="A support agent.",
    llm=llm,                               # your own CrewAI LLM
    skills=decimalai.crewai.skills(),      # the installed folder
    tools=decimalai.crewai.skill_tools(),  # reads a skill's files, runs its scripts
)
task = Task(description="Hello!", expected_output="an answer", agent=agent)
Crew(agents=[agent], tasks=[task]).kickoff()

The same install from Python, for a notebook or a setup script. CrewAI's own skill loader reads the installed folder. No DecimalAI account needed.

Install

pip install "decimalai>=0.16" "crewai>=1.15.27"

Add it to your agent

from decimalai import skillpkg

# Writes .agents/skills and .decimal/skills.toml. Safe to run twice.
result = skillpkg.add("leoyeai-moralis-data-api")
if result.exit_code:
    raise SystemExit(result.problems)

import decimalai.crewai
from crewai import Agent, Crew, Task

agent = Agent(
    role="Support", goal="Help the customer", backstory="A support agent.",
    llm=llm,                               # your own CrewAI LLM
    skills=decimalai.crewai.skills(),      # the installed folder
    tools=decimalai.crewai.skill_tools(),  # reads a skill's files, runs its scripts
)
task = Task(description="Hello!", expected_output="an answer", agent=agent)
Crew(agents=[agent], tasks=[task]).kickoff()

No DecimalAI package. CrewAI's own loader reads the folder, and nothing pins or updates it.

Copy SKILL.md

Save it in your project, as

.agents/skills/leoyeai-moralis-data-api/SKILL.md

Give it to your agent

from pathlib import Path
from crewai import Agent, Crew, Task

agent = Agent(
    role="Support", goal="Help the customer", backstory="A support agent.",
    llm=llm,                         # your own CrewAI LLM
    skills=[Path(".agents/skills")],
)
task = Task(description="Hello!", expected_output="an answer", agent=agent)
Crew(agents=[agent], tasks=[task]).kickoff()

This gets SKILL.md only. The skill's 13 other files are not included.

Other ways to add it

CrewAI docs

agent_config() hands your agent the skill. With no DecimalAI key it reads your project's files and sends nothing. Needs SDK 0.27 or newer.

Install

pip install "decimalai[adk]"
decimalai skills add leoyeai-moralis-data-api

Add it to your agent

from decimalai.adk import DecimalAIPlugin, agent_config
from google.adk.agents import LlmAgent
from google.adk.apps import App

# With no DECIMAL_API_KEY this reads the skills your project lists, from disk.
support = agent_config("support", fallback="You are a helpful agent.")

agent = LlmAgent(
    name="support",          # ADK needs a Python identifier
    model="gemini-3.5-flash",
    instruction=support.instruction,  # your prompt, then the skill list
    tools=[*support.tools],           # your tools, then load_skill
)
# DecimalAIPlugin makes each invocation of runners built from this App one trace.
app = App(name="support", root_agent=agent, plugins=[DecimalAIPlugin()])

Prefer ADK's own loader? SkillToolset(skills=decimalai.adk.skills(), ...) reads the same folder. Use one or the other: a skill delivered both ways reaches the prompt twice.

Install

pip install "decimalai[adk]"

Add it to your agent

from decimalai import skillpkg

# Writes .agents/skills and .decimal/skills.toml. Safe to run twice.
result = skillpkg.add("leoyeai-moralis-data-api")
if result.exit_code:
    raise SystemExit(result.problems)

from decimalai.adk import DecimalAIPlugin, agent_config
from google.adk.agents import LlmAgent
from google.adk.apps import App

# With no DECIMAL_API_KEY this reads the skills your project lists, from disk.
support = agent_config("support", fallback="You are a helpful agent.")

agent = LlmAgent(
    name="support",          # ADK needs a Python identifier
    model="gemini-3.5-flash",
    instruction=support.instruction,  # your prompt, then the skill list
    tools=[*support.tools],           # your tools, then load_skill
)
# DecimalAIPlugin makes each invocation of runners built from this App one trace.
app = App(name="support", root_agent=agent, plugins=[DecimalAIPlugin()])

Prefer ADK's own loader? SkillToolset(skills=decimalai.adk.skills(), ...) reads the same folder. Use one or the other: a skill delivered both ways reaches the prompt twice.

No DecimalAI package. The whole skill goes in every prompt, and nothing pins or updates it.

Copy SKILL.md

Save it in your project, as

.agents/skills/leoyeai-moralis-data-api/SKILL.md

Give it to your agent

from pathlib import Path
from google.adk.agents import LlmAgent

skill = Path(".agents/skills/leoyeai-moralis-data-api/SKILL.md").read_text()
agent = LlmAgent(
    name="support",
    model="gemini-3.5-flash",
    instruction=lambda context: f"You are a helpful agent.\n\n{skill}",
)

This gets SKILL.md only. The skill's 13 other files are not included.

Other ways to add it

Google ADK docs

agent_config() hands your agent the skill. With no DecimalAI key it reads your project's files and sends nothing. Needs SDK 0.27 or newer.

Install

pip install "decimalai[pydantic-ai]"
decimalai skills add leoyeai-moralis-data-api

Add it to your agent

from pydantic_ai import Agent
from decimalai.pydantic_ai import agent_config

# With no DECIMAL_API_KEY this reads the skills your project lists, from disk.
support = agent_config("support", fallback="You are a helpful agent.")

agent = Agent(
    "openai:gpt-4o-mini",
    name=support.name,
    tools=[],                 # your tools; the capability adds load_skill
    capabilities=[support],   # your prompt, the skill list and load_skill
)
# In a notebook or async code: result = await agent.run("Hello!")
result = agent.run_sync("Hello!")

On the Pydantic AI harness, decimalai.pydantic_ai_harness.skills(project) uses its own loader instead.

Install

pip install "decimalai[pydantic-ai]"

Add it to your agent

from decimalai import skillpkg

# Writes .agents/skills and .decimal/skills.toml. Safe to run twice.
result = skillpkg.add("leoyeai-moralis-data-api")
if result.exit_code:
    raise SystemExit(result.problems)

from pydantic_ai import Agent
from decimalai.pydantic_ai import agent_config

# With no DECIMAL_API_KEY this reads the skills your project lists, from disk.
support = agent_config("support", fallback="You are a helpful agent.")

agent = Agent(
    "openai:gpt-4o-mini",
    name=support.name,
    tools=[],                 # your tools; the capability adds load_skill
    capabilities=[support],   # your prompt, the skill list and load_skill
)
# In a notebook or async code: result = await agent.run("Hello!")
result = agent.run_sync("Hello!")

On the Pydantic AI harness, decimalai.pydantic_ai_harness.skills(project) uses its own loader instead.

No DecimalAI package. The whole skill goes in every prompt, and nothing pins or updates it.

Copy SKILL.md

Save it in your project, as

.agents/skills/leoyeai-moralis-data-api/SKILL.md

Give it to your agent

from pathlib import Path
from pydantic_ai import Agent

skill = Path(".agents/skills/leoyeai-moralis-data-api/SKILL.md").read_text()
agent = Agent("openai:gpt-4o-mini", instructions=f"You are a helpful agent.\n\n{skill}")
# In a notebook or async code: result = await agent.run("Hello!")
result = agent.run_sync("Hello!")

This gets SKILL.md only. The skill's 13 other files are not included.

Other ways to add it

Pydantic AI docs

Deep Agents' own skill loader reads the installed folder. No DecimalAI account needed.

Install

pip install "decimalai>=0.16" deepagents
decimalai skills add leoyeai-moralis-data-api

Add it to your agent

import decimalai.deepagents
from deepagents import create_deep_agent

agent = create_deep_agent(model=model, **decimalai.deepagents.skills())
agent.invoke({"messages": [{"role": "user", "content": "Hello!"}]})

The default backend reads files but has no shell. To run a skill's scripts, pass skills(backend=LocalShellBackend(...)).

The same install from Python, for a notebook or a setup script. Deep Agents' own skill loader reads the installed folder. No DecimalAI account needed.

Install

pip install "decimalai>=0.16" deepagents

Add it to your agent

from decimalai import skillpkg

# Writes .agents/skills and .decimal/skills.toml. Safe to run twice.
result = skillpkg.add("leoyeai-moralis-data-api")
if result.exit_code:
    raise SystemExit(result.problems)

import decimalai.deepagents
from deepagents import create_deep_agent

agent = create_deep_agent(model=model, **decimalai.deepagents.skills())
agent.invoke({"messages": [{"role": "user", "content": "Hello!"}]})

The default backend reads files but has no shell. To run a skill's scripts, pass skills(backend=LocalShellBackend(...)).

No DecimalAI package. The whole skill goes in every prompt, and nothing pins or updates it.

Copy SKILL.md

Save it in your project, as

.agents/skills/leoyeai-moralis-data-api/SKILL.md

Give it to your agent

from pathlib import Path
from deepagents import create_deep_agent

skill = Path(".agents/skills/leoyeai-moralis-data-api/SKILL.md").read_text()
agent = create_deep_agent(model=model, system_prompt=f"You are a helpful agent.\n\n{skill}")
agent.invoke({"messages": [{"role": "user", "content": "Hello!"}]})

This gets SKILL.md only. The skill's 13 other files are not included.

Other ways to add it

Deep Agents docs

Its own skill loader reads the installed folder. No DecimalAI account needed.

Install

pip install "decimalai>=0.16" agent-framework
decimalai skills add leoyeai-moralis-data-api

Add it to your agent

import asyncio

from agent_framework import Agent
from decimalai.agent_framework import skills

agent = Agent(client=client, instructions="You are a helpful agent.", context_providers=[skills()])
asyncio.run(agent.run("Hello!"))

It caches skills by default, so restart the process after decimalai skills update.

The same install from Python, for a notebook or a setup script. Its own skill loader reads the installed folder. No DecimalAI account needed.

Install

pip install "decimalai>=0.16" agent-framework

Add it to your agent

from decimalai import skillpkg

# Writes .agents/skills and .decimal/skills.toml. Safe to run twice.
result = skillpkg.add("leoyeai-moralis-data-api")
if result.exit_code:
    raise SystemExit(result.problems)

import asyncio

from agent_framework import Agent
from decimalai.agent_framework import skills

agent = Agent(client=client, instructions="You are a helpful agent.", context_providers=[skills()])
asyncio.run(agent.run("Hello!"))

It caches skills by default, so restart the process after decimalai skills update.

No DecimalAI package. The whole skill goes in every prompt, and nothing pins or updates it.

Copy SKILL.md

Save it in your project, as

.agents/skills/leoyeai-moralis-data-api/SKILL.md

Give it to your agent

import asyncio
from pathlib import Path
from agent_framework import Agent

skill = Path(".agents/skills/leoyeai-moralis-data-api/SKILL.md").read_text()
agent = Agent(client=client, instructions=f"You are a helpful agent.\n\n{skill}")
asyncio.run(agent.run("Hello!"))

This gets SKILL.md only. The skill's 13 other files are not included.

Other ways to add it

Microsoft Agent Framework docs

Strands' own skill loader reads the installed folder. No DecimalAI account needed.

Install

pip install "decimalai>=0.16" strands-agents
decimalai skills add leoyeai-moralis-data-api

Add it to your agent

from decimalai.strands import skills
from strands import Agent
from strands.vended_tools import file_editor, shell

agent = Agent(
    model=model,                # always pass one: the default is Amazon Bedrock
    system_prompt="You are a helpful agent.",
    tools=[file_editor, shell],
    plugins=[skills()],
)
agent("Hello!")

Strands loads an agent's skills once, so build the agent again after decimalai skills update.

The same install from Python, for a notebook or a setup script. Strands' own skill loader reads the installed folder. No DecimalAI account needed.

Install

pip install "decimalai>=0.16" strands-agents

Add it to your agent

from decimalai import skillpkg

# Writes .agents/skills and .decimal/skills.toml. Safe to run twice.
result = skillpkg.add("leoyeai-moralis-data-api")
if result.exit_code:
    raise SystemExit(result.problems)

from decimalai.strands import skills
from strands import Agent
from strands.vended_tools import file_editor, shell

agent = Agent(
    model=model,                # always pass one: the default is Amazon Bedrock
    system_prompt="You are a helpful agent.",
    tools=[file_editor, shell],
    plugins=[skills()],
)
agent("Hello!")

Strands loads an agent's skills once, so build the agent again after decimalai skills update.

No DecimalAI package. The whole skill goes in every prompt, and nothing pins or updates it.

Copy SKILL.md

Save it in your project, as

.agents/skills/leoyeai-moralis-data-api/SKILL.md

Give it to your agent

from pathlib import Path
from strands import Agent

skill = Path(".agents/skills/leoyeai-moralis-data-api/SKILL.md").read_text()
agent = Agent(model=model, system_prompt=f"You are a helpful agent.\n\n{skill}")
agent("Hello!")

This gets SKILL.md only. The skill's 13 other files are not included.

Other ways to add it

Strands docs

Adds every file the skill has, pinned so you can update it. Cursor, Copilot, Cline and Warp read this folder by themselves.

pip install "decimalai>=0.15"
decimalai skills add leoyeai-moralis-data-api

No Python or account. Cursor, Copilot, Cline and Warp read this folder by themselves.

Save it into your project

curl -fsSL --create-dirs -o .agents/skills/leoyeai-moralis-data-api/SKILL.md https://app.decimal.ai/s/leoyeai-moralis-data-api/SKILL.md

Copy SKILL.md

Save it in your project, as

.agents/skills/leoyeai-moralis-data-api/SKILL.md

This gets SKILL.md only. The skill's 13 other files are not included.

Other ways to add it

Cursor and other editors docs

Fetch the file and give its text to your model as instructions. No account or package needed.

Get the file

curl -fsSL https://app.decimal.ai/s/leoyeai-moralis-data-api/SKILL.md

Read the summary as JSON

curl -fsSL https://app.decimal.ai/s/leoyeai-moralis-data-api.json

This gets SKILL.md only. The skill's 13 other files are not included.

Other ways to add it

Other setups docs

You don't need a DecimalAI account.

Version: v1, tested 8/8/2026
Source: LeoYeAI/openclaw-master-skills ↗
License: MIT

Manage it in DecimalAI

Saved prompts and skills, pinned versions, and traces of this skill in your runs. DecimalAI does not run your agent.

Claude Code reads files from your project, so DecimalAI config does not apply there.

On Claude Agent SDK: save the skill to an agent here, set DECIMAL_API_KEY, and the same code uses it with no command to run. Changes you save reach the next run with no redeploy.

On OpenAI Agents: save the skill to an agent here, set DECIMAL_API_KEY, and the same code uses it with no command to run. Changes you save reach the next run with no redeploy.

On OpenAI SDK: save the skill to an agent here, set DECIMAL_API_KEY, and the same code uses it with no command to run. Changes you save reach the next run with no redeploy.

On Anthropic: save the skill to an agent here, set DECIMAL_API_KEY, and the same code uses it with no command to run. Changes you save reach the next run with no redeploy.

On Gemini API: save the skill to an agent here, set DECIMAL_API_KEY, and the same code uses it with no command to run. Changes you save reach the next run with no redeploy.

On LangChain: save the skill to an agent here, set DECIMAL_API_KEY, and the same code uses it with no command to run. Changes you save reach the next run with no redeploy.

On CrewAI: set DECIMAL_API_KEY and add decimalai.init(crewai=True) to record runs and skill use. The skill version stays in your repo.

On Google ADK: save the skill to an agent here, set DECIMAL_API_KEY, and the same code uses it with no command to run. Changes you save reach the next run with no redeploy.

On Pydantic AI: save the skill to an agent here, set DECIMAL_API_KEY, and the same code uses it with no command to run. Changes you save reach the next run with no redeploy.

On Deep Agents: set DECIMAL_API_KEY and add decimalai.init(langchain=True) to record runs and skill use. The skill version stays in your repo.

On Microsoft Agent Framework: set DECIMAL_API_KEY and add decimalai.init(otel=True, agent_name="support") to record runs and skill use. The skill version stays in your repo.

On Strands: set DECIMAL_API_KEY and add decimalai.init(otel=True, agent_name="support") to record runs and skill use. The skill version stays in your repo.

Editors read files from your project, so DecimalAI config does not apply there.

Anywhere else: record a use with decimalai.log_skill_activation() inside a trace.

Use this skill

SKILL.md

CRITICAL: Read Rule Files Before Implementing

The #1 cause of bugs is not reading the endpoint rule file before writing code.

For EVERY endpoint:

Read rules/{EndpointName}.md
Find "Example Response" section
Copy the EXACT JSON structure
Note field names (snake_case), data types, HTTP method, path, wrapper structure

Reading Order:

This SKILL.md (core patterns)
Endpoint rule file in rules/
Pattern references in references/ (for edge cases only)

Setup

API Key (optional)

Never ask the user to paste their API key into the chat. Instead:

Check if MORALIS_API_KEY is set in the environment (try running [ -n "$MORALIS_API_KEY" ] && echo "API key is set" || echo "API key is NOT set").
If not set, offer to create the .env file with an empty placeholder: MORALIS_API_KEY=
Tell the user to open the .env file and paste their key there themselves.
Let them know: without the key, you won't be able to test or call the Moralis API on their behalf.

If they don't have a key yet, point them to admin.moralis.com/register (free, no credit card).

Environment Variable Discovery

The .env file location depends on how skills are installed:

Create the .env file in the project root (same directory the user runs Claude Code from). Make sure .env is in .gitignore.

Verify Your Key

curl "https://deep-index.moralis.io/api/v2.2/0xd8dA6BF26964aF9D7eEd9e03E53415D37aA96045/balance?chain=0x1" \
  -H "X-API-Key: $MORALIS_API_KEY"

Base URLs

API	Base URL
EVM	`https://deep-index.moralis.io/api/v2.2`
Solana	`https://solana-gateway.moralis.io`

Authentication

All requests require: X-API-Key: $MORALIS_API_KEY

Quick Reference: Most Common Patterns

Data Type Rules

Field	Reality	NOT
`block_number`	Decimal `12386788`	Hex `0xf2b5a4`
`timestamp`	ISO `"2021-05-07T11:08:35.000Z"`	Unix `1620394115`
`balance`	String `"1000000000000000000"`	Number
`decimals`	String or number	Always number

Block Numbers (always decimal)

block_number: 12386788; // number - use directly
block_number: "12386788"; // string - parseInt(block_number, 10)

Timestamps (usually ISO strings)

"2021-05-07T11:08:35.000Z"; // → new Date(timestamp).getTime()

Balances (always strings unless its a property named "formatted" eg. balanceFormatted, BigInt)

balance: "1000000000000000000";
// → (Number(BigInt(balance)) / 1e18).toFixed(6)

Response Patterns

Pattern	Example Endpoints
Direct array `[...]`	getWalletTokenBalancesPrice, getTokenMetadata
Wrapped `{ result: [] }`	getWalletNFTs, getWalletTransactions
Paginated `{ page, cursor, result }`	getWalletHistory, getNFTTransfers

// Safe extraction
const data = Array.isArray(response) ? response : response.result || [];

Common Field Mappings

token_address → tokenAddress
from_address_label → fromAddressLabel
block_number → blockNumber
receipt_status: "1" → success, "0" → failed
possible_spam: "true"/"false" → boolean check

Common Pitfalls (Top 5)

Block numbers are decimal, not hex - Use parseInt(x, 10), not parseInt(x, 16)
Timestamps are ISO strings - Use new Date(timestamp).getTime()
Balances are strings - Use BigInt(balance) for math
Response may be wrapped - Check for .result before .map()
Path inconsistencies - Some use /wallets/{address}/..., others /{address}/...

See references/CommonPitfalls.md for complete reference.

Pagination

Many endpoints use cursor-based pagination:

# First request
curl "...?limit=100" -H "X-API-Key: $KEY"

# Next page
curl "...?limit=100&cursor=<cursor_from_response>" -H "X-API-Key: $KEY"

See references/Pagination.md for details.

Testing Endpoints

ADDRESS="0xd8dA6BF26964aF9D7eEd9e03E53415D37aA96045"
CHAIN="0x1"

# Wallet Balance
curl "https://deep-index.moralis.io/api/v2.2/${ADDRESS}/balance?chain=${CHAIN}" \
  -H "X-API-Key: $MORALIS_API_KEY"

# Token Price
curl "https://deep-index.moralis.io/api/v2.2/erc20/0x6B175474E89094C44Da98b954EedeAC495271d0F/price?chain=${CHAIN}" \
  -H "X-API-Key: $MORALIS_API_KEY"

# Wallet Transactions (note result wrapper)
curl "https://deep-index.moralis.io/api/v2.2/${ADDRESS}?chain=${CHAIN}&limit=5" \
  -H "X-API-Key: $MORALIS_API_KEY" | jq '.result'

Quick Troubleshooting

Issue	Cause	Solution
"Property does not exist"	Field name mismatch	Check snake_case in rule file
"Cannot read undefined"	Missing optional field	Use `?.` optional chaining
"blockNumber is NaN"	Parsing decimal as hex	Use radix 10: `parseInt(x, 10)`
"Wrong timestamp"	Parsing ISO as number	Use `new Date(timestamp).getTime()`
"404 Not Found"	Wrong endpoint path	Verify path in rule file

Performance & Timeouts

Most endpoints respond quickly under normal conditions. Response times can vary based on wallet activity volume, chain, and query complexity.

Recommended client timeouts:

Simple queries (balance, price, metadata): 10s
Complex queries (wallet history, DeFi positions): 30s

Large wallets with extensive transaction histories may take longer — use pagination with reasonable limit values.

See references/PerformanceAndLatency.md for optimization tips.

Default Chain Behavior

EVM addresses (0x...): Default to Ethereum (chain=0x1) unless specified.

Solana addresses (base58): Auto-detected and routed to Solana API.

Supported Chains

EVM (40+ chains): Ethereum (0x1), Polygon (0x89), BSC (0x38), Arbitrum (0xa4b1), Optimism (0xa), Base (0x2105), Avalanche (0xa86a), and more.

Solana: Mainnet, Devnet

See references/SupportedApisAndChains.md for full list.

Endpoint Catalog

Complete list of all 136 endpoints (102 EVM + 34 Solana) organized by category.

Wallet

Balances, tokens, NFTs, transaction history, profitability, and net worth data.

Endpoint	Description
getNativeBalance	Get native balance by wallet
getNativeBalancesForAddresses	Get native balance for a set of wallets
getWalletActiveChains	Get active chains by wallet address
getWalletApprovals	Get ERC20 approvals by wallet
getWalletHistory	Get the complete decoded transaction history of a wallet
getWalletInsight	Get wallet insight metrics
getWalletNetWorth	Get wallet net worth
getWalletNFTCollections	Get NFT collections by wallet address
getWalletNFTs	Get NFTs by wallet address
getWalletNFTTransfers	Get NFT Transfers by wallet address
getWalletProfitability	Get detailed profit and loss by wallet address
getWalletProfitabilitySummary	Get profit and loss summary by wallet address
getWalletStats	Get summary stats by wallet address
getWalletTokenBalancesPrice	Get token balances with prices by wallet address
getWalletTokenTransfers	Get ERC20 token transfers by wallet address
getWalletTransactions	Get native transactions by wallet
getWalletTransactionsVerbose	Get decoded transactions by wallet

Token

Token prices, metadata, pairs, DEX swaps, analytics, security scores, and sniper detection.

Endpoint	Description
getAggregatedTokenPairStats	Get aggregated token pair statistics by address
getHistoricalTokenScore	Get historical token score by token address
getMultipleTokenAnalytics	Get token analytics for a list of token addresses
getPairAddress	Get DEX token pair address
getPairReserves	Get DEX token pair reserves
getPairStats	Get stats by pair address
getSnipersByPairAddress	Get snipers by pair address
getSwapsByPairAddress	Get swap transactions by pair address
getSwapsByTokenAddress	Get swap transactions by token address
getSwapsByWalletAddress	Get swap transactions by wallet address
getTimeSeriesTokenAnalytics	Retrieve timeseries trading stats by token addresses
getTokenAnalytics	Get token analytics by token address
getTokenBondingStatus	Get the token bonding status
getTokenCategories	Get ERC20 token categories
getTokenHolders	Get a holders summary by token address
getTokenMetadata	Get ERC20 token metadata by contract
getTokenMetadataBySymbol	Get ERC20 token metadata by symbols
getTokenOwners	Get ERC20 token owners by contract
getTokenPairs	Get token pairs by address
getTokenScore	Get token score by token address
getTokenStats	Get ERC20 token stats
getTokenTransfers	Get ERC20 token transfers by contract address

NFT

NFT metadata, transfers, traits, rarity, floor prices, and trades.

Endpoint	Description
getContractNFTs	Get NFTs by contract address
getMultipleNFTs	Get Metadata for NFTs
getNFTBulkContractMetadata	Get metadata for multiple NFT contracts
getNFTByContractTraits	Get NFTs by traits
getNFTCollectionStats	Get summary stats by NFT collection
getNFTContractMetadata	Get NFT collection metadata
getNFTContractSalePrices	Get NFT sale prices by collection
getNFTContractTransfers	Get NFT transfers by contract address
getNFTFloorPriceByContract	Get NFT floor price by contract
getNFTFloorPriceByToken	Get NFT floor price by token
getNFTHistoricalFloorPriceByContract	Get historical NFT floor price by contract
getNFTMetadata	Get NFT metadata
getNFTOwners	Get NFT owners by contract address
getNFTSalePrices	Get NFT sale prices by token
getNFTTokenIdOwners	Get NFT owners by token ID
getNFTTrades	Get NFT trades by collection
getNFTTradesByToken	Get NFT trades by token
getNFTTradesByWallet	Get NFT trades by wallet address
getNFTTraitsByCollection	Get NFT traits by collection
getNFTTraitsByCollectionPaginate	Get NFT traits by collection paginate
getNFTTransfers	Get NFT transfers by token ID
getTopNFTCollectionsByMarketCap	Get top NFT collections by market cap

DeFi

DeFi protocol positions, liquidity, and exposure data.

Endpoint	Description
getDefiPositionsByProtocol	Get detailed DeFi positions by protocol for a wallet
getDefiPositionsSummary	Get DeFi positions of a wallet
getDefiSummary	Get the DeFi summary of a wallet

Entity

Labeled addresses including exchanges, funds, protocols, and whales.

Endpoint	Description
getEntity	Get Entity Details By Id
getEntityCategories	Get Entity Categories

Price

Token and NFT prices, OHLCV candlestick data.

Endpoint	Description
getMultipleTokenPrices	Get Multiple ERC20 token prices
getPairCandlesticks	Get OHLCV by pair address
getPairPrice	Get DEX token pair price
getTokenPrice	Get ERC20 token price

Blockchain

Blocks, transactions, date-to-block conversion, and contract functions.

Endpoint	Description
getBlock	Get block by hash
getDateToBlock	Get block by date
getLatestBlockNumber	Get latest block number
getTransaction	Get transaction by hash
getTransactionVerbose	Get decoded transaction by hash

Discovery

Trending tokens, blue chips, market movers, and token discovery.

Endpoint	Description
getDiscoveryToken	Get token details
getTimeSeriesVolume	Retrieve timeseries trading stats by chain
getTimeSeriesVolumeByCategory	Retrieve timeseries trading stats by category
getTopCryptoCurrenciesByMarketCap	Get top crypto currencies by market cap
getTopCryptoCurrenciesByTradingVolume	Get top crypto currencies by trading volume
getTopERC20TokensByMarketCap	Get top ERC20 tokens by market cap
getTopERC20TokensByPriceMovers	Get top ERC20 tokens by price movements (winners and losers)
getTopGainersTokens	Get tokens with top gainers
getTopLosersTokens	Get tokens with top losers
getTopProfitableWalletPerToken	Get top traders for a given ERC20 token
getTrendingTokens	Get trending tokens
getVolumeStatsByCategory	Get trading stats by categories
getVolumeStatsByChain	Get trading stats by chain

Other

Utility endpoints including API version, endpoint weights, and address resolution.

Endpoint	Description
getBondingTokensByExchange	Get bonding tokens by exchange
getEntitiesByCategory	Get Entities By Category
getFilteredTokens	Returns a list of tokens that match the specified filters and criteria
getGraduatedTokensByExchange	Get graduated tokens by exchange
getHistoricalTokenHolders	Get timeseries holders data
getNewTokensByExchange	Get new tokens by exchange
getUniqueOwnersByCollection	Get unique wallet addresses owning NFTs from a contract.
resolveAddress	ENS lookup by address
resolveAddressToDomain	Resolve Address to Unstoppable domain
resolveDomain	Resolve Unstoppable domain
resolveENSDomain	ENS lookup by domain
reSyncMetadata	Resync NFT metadata
searchEntities	Search Entities, Organizations or Wallets
searchTokens	Search for tokens based on contract address, pair address, token name or token symbol.

Solana Endpoints

Solana-specific endpoints (24 native + 10 EVM variants that support Solana chain = 34 total).

Endpoint	Description
balance	Gets native balance owned by the given address
getAggregatedTokenPairStats	Get aggregated token pair statistics by address
getBondingTokensByExchange	Get bonding tokens by exchange
getCandleSticks	Get candlesticks for a pair address
getGraduatedTokensByExchange	Get graduated tokens by exchange
getHistoricalTokenHolders	Get token holders overtime for a given tokens
getMultipleTokenMetadata	Get multiple token metadata
getMultipleTokenPrices	Get token price
getNFTMetadata	Get the global metadata for a given contract
getNFTs	Gets NFTs owned by the given address
getNewTokensByExchange	Get new tokens by exchange
getPairStats	Get stats for a pair address
getPortfolio	Gets the portfolio of the given address
getSPL	Gets token balances owned by the given address
getSnipersByPairAddress	Get snipers by pair address.
getSwapsByPairAddress	Get all swap related transactions (buy, sell, add liquidity & remove liquidity)
getSwapsByTokenAddress	Get all swap related transactions (buy, sell)
getSwapsByWalletAddress	Get all swap related transactions (buy, sell) for a specific wallet address.
getTokenBondingStatus	Get Token Bonding Status
getTokenHolders	Get the summary of holders for a given token token.
getTokenMetadata	Get Token metadata
getTokenPairs	Get token pairs by address
getTokenPrice	Get token price
getTopHolders	Get paginated top holders for a given token.
getDiscoveryToken	Solana variant: Get token details
getHistoricalTokenScore	Solana variant: Get historical token score by token address
getTimeSeriesVolume	Solana variant: Retrieve timeseries trading stats by chain
getTimeSeriesVolumeByCategory	Solana variant: Retrieve timeseries trading stats by category
getTokenAnalytics	Solana variant: Get token analytics by token address
getTokenScore	Solana variant: Get token score by token address
getTopGainersTokens	Solana variant: Get tokens with top gainers
getTopLosersTokens	Solana variant: Get tokens with top losers
getTrendingTokens	Solana variant: Get trending tokens
getVolumeStatsByCategory	Solana variant: Get trading stats by categories

Reference Documentation

references/CommonPitfalls.md - Complete pitfalls reference
references/DataTransformations.md - Type conversion reference
references/FilteredTokens.md - Token discovery metrics, timeframes, filters, and examples
references/PerformanceAndLatency.md - Response time guidance, timeout recommendations, caching
references/ResponsePatterns.md - Pagination patterns
references/SupportedApisAndChains.md - Chains and APIs

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CRITICAL: Read Rule Files Before Implementing

Setup

API Key (optional)

Environment Variable Discovery

Verify Your Key

Base URLs

Authentication

Quick Reference: Most Common Patterns

Data Type Rules

Block Numbers (always decimal)

Timestamps (usually ISO strings)

Balances (always strings unless its a property named "formatted" eg. balanceFormatted, BigInt)

Response Patterns

Common Field Mappings

Common Pitfalls (Top 5)

Pagination

Testing Endpoints

Quick Troubleshooting

Performance & Timeouts

Default Chain Behavior

Supported Chains

Endpoint Catalog

Wallet

Token

NFT

DeFi

Entity

Price

Blockchain

Discovery

Other

Solana Endpoints

Reference Documentation

See Also

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