MAXIA Oracle
UnclaimedMulti-source price feed for AI agents, aggregating and reconciling real-time market data.
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What is MAXIA Oracle?
MAXIA Oracle (api tools): Multi-source price feed for AI agents, aggregating and reconciling real-time market data. MAXIA Oracle provides a robust and reliable multi-source price feed specifically designed for autonomous AI agents. It aggregates and reconciles real-time price data from six independent upstream sources, including Pyth Hermes, Chainlink, Coinpaprika, RedStone, Pyth Solana, and Uniswap v3 TWAP. Key capabilities: Multi-source price aggregation (Pyth Hermes, Chainlink, Coinpaprika, RedStone, Pyth Solana, Uniswap v3 TWAP), Divergence figure for outlier detection and data validation, Aggregated price retrieval for single or batch symbols, Access to individual source statuses and heartbeats, Historical price snapshots with 30-day retention. MAXIA Oracle ships a free plan plus paid tiers that unlock as usage grows.
TL;DR - MAXIA Oracle
- Aggregates real-time price data from six independent sources for AI agents.
- Provides a transparent audit trail with divergence figures for data validation.
- Offers a comprehensive API and client libraries for easy integration into agent frameworks.
Pricing: Free plan available
Best for: Growing teams
Pros & Cons
Pros
- High data integrity and reliability through multi-source aggregation and reconciliation.
- Transparency in data sourcing, showing all contributing sources and their divergences.
- Easy integration with popular AI agent frameworks via dedicated client libraries.
- Flexible pricing model with a generous free tier and pay-per-call option.
- No sign-up, dashboard, or email required for the free tier, enabling quick prototyping.
Cons
- Historical data retention is limited to 30 days.
- The free tier has a daily request limit of 100, which might be restrictive for high-volume testing.
- Pay-per-call option is currently limited to USDC on Base mainnet via x402 protocol.
Key Features
Multi-source price aggregation (Pyth Hermes, Chainlink, Coinpaprika, RedStone, Pyth Solana, Uniswap v3 TWAP)Divergence figure for outlier detection and data validationAggregated price retrieval for single or batch symbolsAccess to individual source statuses and heartbeatsHistorical price snapshots with 30-day retentionOne-shot webhook price alertsClient libraries for Python and TypeScript agent frameworks (LangChain, CrewAI, AutoGen, LlamaIndex)Direct on-chain reads from Chainlink and Pyth Solana
Pricing Plans
Free tier
$0/day
- 100 requests / day / key
- Every endpoint, no feature gating
- Issued on-demand by POST /api/register
- Keyed by header, nothing client-side on Base
Pay-per-call · x402
$0.001/request
- 0.001 USDC per single request
- 0.005 USDC per batch (up to 50)
- Coinbase x402 facilitator, with on-chain fallback
- Anonymous — no key required
About MAXIA Oracle
By Toolradar Team·
MAXIA Oracle provides a robust and reliable multi-source price feed specifically designed for autonomous AI agents. It aggregates and reconciles real-time price data from six independent upstream sources, including Pyth Hermes, Chainlink, Coinpaprika, RedStone, Pyth Solana, and Uniswap v3 TWAP. This approach ensures data integrity and allows agents to make informed decisions by providing a divergence figure for outlier detection.
The platform offers a comprehensive API with 17 distinct tools, enabling agents to retrieve aggregated prices, batch prices, source statuses, historical data, and even set up price alerts. It supports various agent frameworks through dedicated client libraries for Python and TypeScript ecosystems, including LangChain, CrewAI, AutoGen, and LlamaIndex. MAXIA Oracle is ideal for developers building AI agents that require highly accurate, verifiable, and manipulation-resistant market data for decentralized finance (DeFi), trading, and other data-sensitive applications.
Its key benefit lies in its transparency and auditability, presenting all contributing sources and their divergences rather than a black-box aggregated figure. This empowers agents to implement their own policies for handling data discrepancies, fostering trust and autonomy.
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MAXIA Oracle FAQ
How does MAXIA Oracle handle discrepancies or outliers between its multiple price sources?
MAXIA Oracle provides an aggregated price along with a 'divergence figure' and details from every source that responded, including their age. It does not apply statistical magic or secret weighting; instead, it presents the raw data, allowing your AI agent to decide how to handle outliers or significant drifts based on its own policies.
What specific agent frameworks are supported by MAXIA Oracle's client libraries?
MAXIA Oracle offers first-party packages and client libraries for several prominent agent frameworks, including LangChain, CrewAI, AutoGen, and LlamaIndex within the Python ecosystem, and Eliza in the TypeScript ecosystem. These libraries provide typed methods and thin adapters over the core HTTP API.
Can I access historical price data, and for how long is it retained?
Yes, MAXIA Oracle provides a
get_price_history tool that allows you to retrieve historical price snapshots. This data is sampled every 5 minutes and retained for a period of 30 days.What are the payment options for exceeding the free tier, and how does the pay-per-call mechanism work?
Beyond the free tier's 100 requests/day, MAXIA Oracle offers a pay-per-call option at $0.001 USDC per single request (or $0.005 for a batch of up to 50 requests). This is facilitated anonymously on Base mainnet via the x402 protocol, using Coinbase as a facilitator with an on-chain fallback, requiring no API key for paid requests.
Which specific blockchain networks and decentralized exchanges does MAXIA Oracle integrate with for price feeds?
MAXIA Oracle integrates with Chainlink aggregators on Base, Ethereum, and Arbitrum. It also reads native Pyth Push Oracle accounts on Solana and utilizes Time-Weighted Average Prices (TWAP) from high-liquidity Uniswap v3 pools on Base and Ethereum.
Source: oracle.maxiaworld.app