# Core Capabilities

#### 1. **Context Querying**

Agents can query any available on-chain context using:

* Direct key-value access
* Graph-based traversal
* Schema-aware search

Example:

```python
import requests

requests.get("https://api.dctx.ai/context/user.reputation.score", params={"address": "0xabc..."}).json()
```

#### 2. **Context Subscription**

Agents can subscribe to updates for specific entities or schema types, enabling real-time reactions.

Example:

```python
# Simulated polling or event listener
while True:
    signal = requests.get("https://api.dctx.ai/context/market.signal.volatility", params={"token": "ETH"}).json()
    if signal.get("alert") == True:
        print("⚠️ Volatility spike detected!")
    time.sleep(5)
```

#### 3. **Context Injection into AI Reasoning**

Decontext allows context data to be injected directly into:

* LLM prompts
* Strategy modules
* Multi-agent communication channels

Example Prompt:

```
context = requests.get("https://api.dctx.ai/context/user.reputation.score", params={"address": "0xabc..."}).json()

prompt = f"User 0xABC has {context['score']} reputation and {context['votes']} governance votes in the last 30 days."
```

#### 4. **Behavioral Triggers**

Agents can bind behaviors to context events using rule sets:

* “If wallet stake > 10 ETH AND behavior score > 80, initiate high-tier offer.”
* “If DAO proposal passes, trigger knowledge sync.”


---

# Agent Instructions: Querying This Documentation

If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter:

```
GET https://docs.dctx.ai/key-components/agent-context-interface-aci/core-capabilities.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.