> For the complete documentation index, see [llms.txt](https://docs.memejob.fun/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.memejob.fun/memejob/introducing-ai-agents/agentic-and-data-layer/data-source.md).

# Data Source

Agent strategies rely on a combination of market, liquidity and pricing data aggregated from trusted third-party providers. These data sources supply the foundational signals used by both technical indicators and higher-level AI decision layers.

The current supported data sources include:

* **CoinGecko**\
  Provides broad market coverage, token metadata, historical price data, market capitalization and volume metrics used for baseline market awareness and cross-asset comparisons.
* **GeckoTerminal**\
  Supplies real-time and historical DEX liquidity, pool-level data and on-chain trading activity, enabling agents to reason about depth, slippage and decentralized market dynamics.
* **Supra Oracle (real-time pricing)**\
  Delivers low-latency, tamper-resistant price feeds for accurate execution, strategy validation and synchronization between on-chain actions and off-chain signals.

Data from these providers is normalized and abstracted before use; agents and strategies do not interact with external APIs directly.

{% hint style="info" %}
Additional data providers and custom feeds may be introduced over time as the platform expands support for new networks, instruments, and agent behaviors, subject to reliability and consistency requirements
{% endhint %}