DataFood FAQs

Question 1

What is DataFood and what problem does it solve?

Accepted Answer

DataFood is a universal data hub that provides AI agents with one-call access to 16 diverse data sources, including crypto, finance, news, and web3. It streamlines data fetching, reduces complexity, and significantly cuts costs compared to managing multiple individual APIs.

Question 2

What types of data can I access through DataFood?

Accepted Answer

DataFood offers access to 16 cross-niche data types covering Security/Web3 (e.g., token-risk, breach), Crypto/DeFi (e.g., crypto-price, defi-yield), Finance (e.g., stock-quote), News/Trends, and Real-world information (e.g., weather, flights).

Question 3

How does DataFood help reduce data access costs for AI agents?

Accepted Answer

DataFood's bundle micropayments allow agents to query 16 different data types in a single call, leading to significant cost savings—up to 92%—compared to subscribing and paying for 16 separate APIs from various vendors.

Question 4

How do AI agents integrate with DataFood?

Accepted Answer

AI agents integrate seamlessly via a single Streamable-HTTP endpoint using the JSON-RPC 2.0 protocol. DataFood supports agent-native payment methods like x402 pay-per-call and Stripe Checkout for flexible access and billing.

Question 5

Are there specific tools within DataFood for AI agents?

Accepted Answer

Yes, DataFood includes dedicated agent tools such as `datafood_query` for fetching single data types, `datafood_bundle` for multiple queries, `datafood_portfolio_ask` for NL Q&A on portfolios, and `datafood_watch_session` for streaming agent events.

DataFood

DataFood

Características Principales

Casos de Uso

Características Principales

Casos de Uso