Web3 Dev Platforms for Real-Time Data Access and Web3 Real-Time Data Access Platforms 2026

Real-time data has evolved from being just a “nice to have” in Web3 to becoming a crucial element in onchain trading, RWA tokenization, AI agents, and enterprise integrations. This 2026 buyer’s guide breaks down the actual platforms, latencies, costs, and implementation strategies you can start using today to roll out production-grade real-time Web3 systems.

TL;DR description

Your Handy Guide to Web3 Platforms for Real-Time Onchain Data

In the ever-evolving world of Web3, staying in the loop with real-time onchain data is crucial. This guide is here to help you navigate the latest platforms that offer low-latency oracles, streaming indexers, webhook pipelines, chain-native feeds, mempool/gas networks, and observability. Plus, we’ll walk you through how to integrate these tools with clear patterns, practical examples, and the best practices you’ll want to keep in mind as we move into 2026.

What You'll Find Here

• Low-Latency Oracles: Discover how these oracles provide quick access to offchain data.
• Streaming Indexers: Learn about platforms that allow you to process data in real time.
• Webhook Pipelines: Get a grip on how to set up webhooks for automated data delivery.
• Chain-Native Feeds: Understand how to utilize feeds that operate directly with the blockchain.
• Mempool/Gas Networks: Explore networks that track pending transactions and gas prices.
• Observability: Find out how to monitor and visualize your data more effectively.

Integration Insights

For each tool, we’ll offer practical ways to integrate them into your projects. We’ll share code snippets, configurations, and tips that can save you time and improve your workflow.

Example Integration: Using a Low-Latency Oracle

const oracle = require('low-latency-oracle');

const fetchData = async () => {
    const data = await oracle.get('your-data-endpoint');
    console.log(data);
};

fetchData();

This simple example shows you how to fetch data quickly using a low-latency oracle.

Best Practices for 2026

1. Stay Updated: The Web3 landscape is always changing, so keep yourself in the loop with the latest tools and features.
2. Focus on Scalability: Choose platforms that can grow with your needs to avoid bottlenecks down the road.
3. Monitor Performance: Regularly check the performance of your data feeds to ensure you’re getting the best results.

With this guide in hand, you're now equipped to dive into the world of Web3 data with confidence. Whether you're new to the scene or looking to refine your skills, these insights will help you make the most of what's available out there. Happy coding!

---

What “real-time” means in 2026 (and why it changed your architecture)

• So, low-latency oracles have shifted from the usual push model to a more flexible hybrid pull/commit-reveal setup. This change lets apps grab signed, verifiable market data only when it’s truly needed for execution, which helps slash both latency and costs for perpetuals, options, and other intent-driven applications. Chainlink Data Streams delivers these lightning-fast, on-demand reports--cryptographically signed and accessible via SDKs, REST, or WebSockets. Plus, it offers on-chain verification and commit-reveal safeguards to keep frontrunners at bay. Check it out here.
• Over on Solana, Pyth’s pull oracle is pretty cool as it reflects its multi-chain approach: you can get price updates right from its Pythnet appchain while inside your transaction. This helps boost reliability, especially when the network is under pressure. Typically, you’re looking at production latencies in the low seconds for updates. And don’t worry--sponsored-feed parameters and TWAP can be adjusted for each chain. Learn more here.
• For those into high-throughput chains like Solana, chain-native streaming is now offering access to raw shreds and intra-slot state updates through gRPC or custom transports, giving you visibility in under a second--often hundreds of milliseconds ahead of regular WebSockets. Dive deeper here.
• Indexing stacks have come a long way, evolving from batch subgraphs to a stream-first approach. The Graph’s Substreams and Firehose stack have added some great features like Foundational Stores, SQL sinks, and RPC v3 packaging to enhance production-grade event streaming and analytics. Check it out here.

---

The platform landscape: who does what (and when to use them)

1) Ultra‑low latency oracles for price and RWA data

• Chainlink Data Streams
  If you're into perpetuals and markets that need super quick data updates (like sub-second!), then this is for you. The new native integrations, such as the MegaETH precompile, have simplified things by cutting out the offchain middleman. Now, contracts can grab fresh market data directly! Plus, Data Streams are up and running on a bunch of L1 and L2 solutions (think Base, Sei). You can use a commit-reveal strategy to link your trade data with the signed stream report seamlessly. Check it out here: (megaeth.com)
• Pyth Network (pull oracle + Pythnet)
  This is a great option if you need regular updates without breaking the bank on price requests. It also has solid multi-chain support. On Solana, they've moved away from the push oracle to a pull model. Now, developers can bundle price updates with their instructions and even take advantage of TWAP windows (up to 10 minutes). Check it out at (pyth.network).
• RedStone (modular feeds, pull + push)
  This one's great for covering a bunch of assets, like LSTs, LRTs, and RWAs, while also allowing for flexible deployment. The nifty multi-feed relayers help cut down on gas fees by batching several feeds for each chain. Plus, they’re expanding to Solana through Wormhole Queries and making big moves in the lending space with integrations like Spark. Check it out here: (blog.redstone.finance)

When to Choose What:

• Sub-second perps and prediction markets: Go with Chainlink Streams on your favorite L2 (like Base), or stick with the native options on those real-time execution layers. (theblock.co)
• Multi-chain DeFi that fetches prices only on execution: Check out Pyth or RedStone pull models to get the job done. (pyth.network)
• RWAs and long-tail assets: You might want to consider Chainlink Streams for broader datasets, or RedStone’s coverage combined with that Wormhole-backed Solana connection. (docs.chain.link)

---

2) Stream-first indexing and analytics data planes

• The Graph: Substreams + Firehose
  Get ready for some serious stream processing goodness for on-chain data across multiple chains! With the latest upgrades, we’re rolling out Substreams RPC v3 (which allows for single .spkg deployments), SQL Sink for nested messages, and Foundational Stores that even let you time travel. Plus, we now cover chains like Injective EVM, TRON, Katana, and more. With these SQL upserts and packaging improvements, downstream analytics are going to be way easier and more cost-effective. Check it out here: (forum.thegraph.com)
• Covalent GoldRush Streaming API
  The “sub-second data co-processor” is your go-to for OHLCV data, DEX pair updates, and large-scale streaming subscriptions. It processed over 471 million API calls in Q2’25, with bots and agents really loving the streaming capabilities. This tool is perfect for creating trading dashboards, tax tools, and AI agents that need normalized multi-chain data without the hassle of managing infrastructure. Check it out here: (covalenthq.com)
• Amberdata Streams
  Get top-notch, unified market and on-chain data through WebSockets/Streams with delivery formats like Snowflake/S3. This is perfect for when trading desks need a blend of normalized derivatives and order book data, along with DeFi flows, all under a single contract. Check it out here: (docs.amberdata.io)

When to Choose What

• If you're looking for real-time analytics and need subgraph-like transforms at scale, go with The Graph Substreams (with SQL sinks). Check it out here.
• For quant dashboards, OHLCV, and exchange-integrated pipelines without the hassle of running nodes, Covalent Streaming is your best bet. More info can be found here.
• If you're part of an institutional desk and need access to order books along with on-chain data, then Amberdata is the way to go. You can dive into the details here.

---

3) Webhooks and event streaming to your backend

• QuickNode Streams
  With QuickNode Streams, you get exactly-once delivery, historical backfill, real-time capabilities, server-side JavaScript filters, and support for multiple destinations like webhooks, S3, Postgres, and Snowflake. The Solana Streams beta is especially cool since it focuses on a push-based flow for slot, account, and program events. This is perfect for creating indexers and running operational analytics without the hassle of managing Kafka. Check it out at (quicknode.com).
• Moralis Streams
  Get ready for mature webhook-based streaming that offers a “100% delivery guarantee.” With automatic retries and replay features, you can easily track millions of addresses across EVM chains with just one stream. Plus, you’ll receive decoded and enriched payloads, making it super easy to derive insights. This means wallets and growth or CRM-style analytics can unlock value quickly. Check it out at moralis.com!
• Alchemy Webhooks
  With Alchemy, you get custom GraphQL-style filters, support for over 80 different chains, and reliable ordered delivery. Plus, there's an exponential backoff retry feature to keep things running smoothly. Just keep an eye on those periodic incident windows--make sure to plan for Dead Letter Queues (DLQs) and replay scenarios. Check it out here: (alchemy.com)

When to Choose What

• If you're looking for a managed ETL that can handle historical backfill and guarantees exactly-once delivery to your data stores, check out QuickNode Streams. (quicknode.com)
• On the other hand, if you need to monitor a ton of wallets or contracts and want enriched events delivered fast, Moralis Streams is the way to go. (moralis.com)
• And if you're already using the Alchemy stack or need GraphQL filtering on a larger scale, then Alchemy Webhooks (just remember to add those dead letter queues) will fit your needs perfectly. (alchemy.com)

---

4) Chain-native, ultra-fast feeds (Solana focus)

• Helius LaserStream
  This is a super-responsive, reliable option for those looking for something different from Yellowstone gRPC. It takes in raw shreds for fast visibility, keeps everything in line with the gRPC interface, and can handle up to 1.3 GB/s for JS clients. It’s perfect for traders and searchers, plus it features automatic failover. Check it out at (helius.dev).
• Syndica ChainStream
  This feature brings together updates from different validators using PubSub over WebSockets. It’s got a “fastest wins” approach that makes sure you don’t miss any important updates. You can find it on the Scale Mode plans. Check it out here: (docs.syndica.io)
• ERPC Direct Shreds
  This nifty feature streams shreds straight from leaders, giving you some serious gains--hundreds of milliseconds faster than gRPC. Plus, with the handy commodity plans and SDKs (like the Validators DAO Solana Stream SDK), getting on board is a breeze. Check it out here: (buidlers.epics.dev)

When to Choose What

• If you're dealing with latency-sensitive tasks like routing, market-making, or searching, consider going with LaserStream or Direct Shreds. For scenarios where you need managed redundancy from multiple sources, Syndica ChainStream is the way to go. Check it out here: helius.dev.

---

5) Mempool, gas, and inclusion-speed tooling

• bloXroute BDN/Streams
  Looking for quick transaction feeds? Check out bloXroute! They offer low-latency mempool and “flashblocks” style feeds, plus gRPC streams for Solana/EVM transactions. You’ll also find real-time state diffs tailored for Base and prioritized submission endpoints, all priced to suit pro and enterprise-level latency needs. This is perfect for MEV bots, arbitrage, and any workflows that need to be sensitive to inclusion. Dive in at bloxroute.com!
• Blocknative Gas Network
  This is a decentralized multi-chain gas oracle that’s delivered on-chain through agents and oracles. It supports push, pull, and hybrid methods, and there are tutorials available along with live mainnet oracles for chains like ETH, Base, and OP. It's a great fit for fee-aware user experiences, batchers, and account abstraction wallets. Just a heads up, Blocknative has phased out some of their older mempool tools to really hone in on this. Check it out here!

---

6) Observability and automation

• Tenderly Alerts + Web3 Actions
  Get real-time multi-chain monitoring with serverless reactions you can program yourself. It’s got support for webhooks, Slack, and PagerDuty, and you can link alerts to Actions for quick fixes (like pausing a contract, rotating keys, or liquidating positions that are looking a bit too risky). Check it out at (tenderly.co).
• Nansen API/MCP for AI agents
  Get real-time labeled on-chain data through the API and Model Context Protocol. This is super handy for agentic systems that need to analyze wallet or entity data along with live flows. Check it out here: (release.nansen.ai)

---

Practical blueprints (copy/paste-level specifics)

A) Sub-second perps using Chainlink Data Streams on Base

• Offchain: You can easily subscribe to low-latency market reports via the Streams WebSocket or SDK.
• Onchain: When you're working with your trade function, just pass the signed report. Your contract will then verify the DON signatures and use commit-reveal to settle transactions with the latest data.
• Gotchas:
  • Keep in mind the importance of treating thin-liquidity tokens carefully according to Chainlink’s developer guidelines; it’s a good idea to implement circuit-breakers and fall back on the last good Time-Weighted Average Price (TWAP). (docs.chain.link)
  • Make sure to cache the last validated report ID to prevent replay issues, and remember to do freshness checks on a per-block basis.

Why This in 2026

By 2026, streams are everywhere! They're not just floating around but are also built right into real-time chains, like Base. This means we can wave goodbye to those custom offchain relayers. You can check out the details here: (theblock.co).

B) Wallet-scale monitoring for millions of addresses

• Pick between Moralis Streams or QuickNode Streams. Set up your server-side filters for ERC‑20/721/1155 transfers and send everything to your webhook + S3 for easy replay. Moralis gives you a “100% delivery guarantee” with automatic retries, while QuickNode throws in exactly-once semantics and historical backfill. Check it out here: (moralis.com)

Minimal Webhook Skeleton (Node/Express) with Signature Verification

Setting up a simple webhook in Node.js with Express is quite straightforward. Below, I've got a basic skeleton for you that includes signature verification to make sure your requests are legit.

Install Dependencies

First off, let's get the necessary packages installed. You'll need Express for the server and crypto for signature verification:

npm install express body-parser

Basic Server Setup

Now, let's create a simple Express server. You can start off with something like this:

const express = require('express');
const bodyParser = require('body-parser');
const crypto = require('crypto');

const app = express();
const PORT = process.env.PORT || 3000;

// Middleware to parse JSON body
app.use(bodyParser.json());

// Your secret key for signature verification
const SECRET = 'your_secret_key';

// Function to verify the signature
const verifySignature = (req) => {
    const signature = req.headers['x-signature'];
    const payload = JSON.stringify(req.body);
    const hash = crypto.createHmac('sha256', SECRET)
                       .update(payload)
                       .digest('hex');
    return signature === hash;
};

// Webhook endpoint
app.post('/webhook', (req, res) => {
    if (!verifySignature(req)) {
        return res.status(403).send('Forbidden');
    }

    // Handle the webhook payload
    console.log('Received webhook:', req.body);

    // Respond with a success status
    res.status(200).send('Webhook received');
});

// Start the server
app.listen(PORT, () => {
    console.log(`Server is running on port ${PORT}`);
});

How It Works

1. Dependencies: We import express, body-parser, and crypto.
2. Middleware: We set up body-parser to handle JSON payloads.
3. Signature Verification: The verifySignature function checks if the signature from the request matches what we calculate using our secret key and the request body.
4. Webhook Endpoint: The /webhook route listens for POST requests. If the signature check fails, it returns a 403 Forbidden. If it passes, it logs the payload and sends a success response.

Conclusion

And there you have it! A minimal webhook skeleton that can verify signatures. You can expand upon this by adding error handling, logging, or whatever else your project needs.

Feel free to play around with the code and adapt it to fit your requirements. Happy coding!

import express from "express";
import crypto from "crypto";
const app = express();
app.use(express.json({ type: "*/*" }));

app.post("/webhooks/chain", (req, res) => {
  const signature = req.get("X-Alchemy-Signature") || req.get("X-Moralis-Signature");
  const secret = process.env.SIGNING_KEY!;
  const payload = JSON.stringify(req.body);
  const hmac = crypto.createHmac("sha256", secret).update(payload).digest("hex");
  if (signature !== hmac) return res.status(401).end();
  // idempotency: upsert using event id + block hash
  // enqueue to Kafka/SQS; ack fast
  res.status(200).end();
});
app.listen(8080);

Add DLQs and reorg handling to your setup. Check out Alchemy’s ordered delivery and retry semantics for more details. You can find all the info you need here.

C) Solana HFT/search: earliest visibility via shreds

• You can use Helius LaserStream as a straightforward drop-in replacement for gRPC, or go for ERPC Direct Shreds to stream raw shreds and intra-slot state.
• Here’s the plan:
  • First, backfill the historical program and account state with Helius archival RPC.
  • Keep your hot index running smoothly with LaserStream; if you ever lose connection, just replay from the last slot you processed. Check it out at (helius.dev).
• A quick note on latency: Shred streams can cut down hundreds of milliseconds compared to just using gRPC, so make sure to tweak your co-location and kernel settings for the best performance. More details here: (buidlers.epics.dev).

D) Index-once, query anywhere with Substreams + SQL sinks

• Create a Substreams package that pulls in your protocol events and stores them in a SQL sink using upsert semantics. Your downstream BI can then connect to Postgres or BigQuery.
• Latest upgrades include support for nested messages, Foundational Stores with time travel, and RPC v3 packaging to make operations smoother. Check it out here: (forum.thegraph.com)

E) Gas-aware UX with onchain gas oracles

• Connect the Blocknative Gas Network’s on-chain oracle and check out the “getInTime” function for estimated inclusion probabilities.
• For AA wallets or batchers, adjust fees dynamically for each chain and let users see the predicted inclusion. (docs.blocknative.com)

---

EVM WebSockets still matter--use them correctly

• If you want to keep up with canonical chain events in near real time, go ahead and subscribe using eth_subscribe (try out newHeads, logs, or pending). Make sure to filter logs by address or topics; this helps cut down on the data you're dealing with. Also, to manage reorgs, treat “removed: true” as a compensating event. Don’t forget to set up reconnection and idempotency. Check it out in the MetaMask docs!

Example (wscat) to Subscribe to New Heads on Infura:

To keep track of new block headers on the Ethereum network using Infura, you can use the wscat tool. Here’s a simple way to do it:

1. First, make sure you've got wscat installed. If you don't have it yet, you can grab it by running:

   npm install -g wscat

2. Now, you need your Infura endpoint. If you haven’t already, sign up and create a new project on the Infura dashboard. You’ll get a URL like this:

   wss://mainnet.infura.io/ws/v3/YOUR_INFURA_PROJECT_ID

3. With everything in place, you can start wscat to connect to Infura. Just replace YOUR_INFURA_PROJECT_ID with your actual project ID:

   wscat -c wss://mainnet.infura.io/ws/v3/YOUR_INFURA_PROJECT_ID

4. Once you’re connected, you can send the following JSON-RPC request to subscribe to new heads:

   {
     "jsonrpc": "2.0",
     "method": "eth_subscribe",
     "params": ["newHeads"],
     "id": 1
   }

Just hit enter after typing the above command, and you’ll start seeing updates for every new block header as they come in! It’s a handy way to stay in the loop with what's happening on the Ethereum blockchain.

wscat -c wss://mainnet.infura.io/ws/v3/<KEY> -x '{"jsonrpc":"2.0","id":1,"method":"eth_subscribe","params":["newHeads"]}'

The MetaMask and Infura docs really highlight how important it is to focus on filtering, ordering, and reconnection strategies when you're working across different networks. You can check it out here.

---

Latency, cost, and SRE checklists you can apply now

• Latency tiers
  • Sub-second signed market data: Check out Chainlink Streams, which come with on-chain verification. You can find more info here.
  • Low seconds end-to-end price updates: For something a bit slower but still efficient, Pyth pull oracle with TWAP options is the way to go. Find the details here.
  • 100-400ms intra-slot visibility (Solana streams): If you're looking for super fast insights, check out shreds and gRPC-native feeds. Learn more here.
• Cost controls
  • Use pull-oracle models like Pyth and RedStone so you only pay when the execution happens. Plus, consider multi-feed relayers to spread out those update costs. Check out this post for more info: (blog.redstone.finance)
  • Implement stream filters right at the provider level with services like QuickNode, Moralis, or Alchemy to help reduce the amount of egress data you’re dealing with. Here’s a link to get you started: (quicknode.com)
• Reliability/SRE
  • Exactly-once or replay guarantees: Check out QuickNode Streams and Moralis replay options. Don’t forget to design Dead Letter Queues (DLQs) and checkpoints to keep everything in line. (quicknode.com)
  • Incident windows: Keep an eye on provider statuses and have a backup plan ready. A great example is looking at Alchemy’s Solana Webhooks degradation playbooks. (isdown.app)
  • Onchain verification: Always make sure to verify oracle signatures on the blockchain. It's also smart to cache the last-known good data and protect it with circuit-breakers just in case. (docs.chain.link)
• Compliance/SecOps
  • Make sure to sign your webhooks and verify HMAC, rotate those keys, and keep webhook ingestion snug in a zero-trust subnet. Check out this guide: (alchemy.com).
  • When dealing with market feeds for new tokens, don’t forget to pay attention to the provider risk notes and tighten those caps. More info can be found here: (docs.chain.link).

---

What’s emerging in 2026 to watch (and pilot now)

• Native oracle precompiles and real-time execution layers
  The integration of Chainlink Streams, like MegaETH, suggests an exciting future where real-time data is treated as a key part of the runtime experience. We can look forward to more precompiles and less discrepancy between offchain and onchain timestamps. Check out more details at (megaeth.com).
• Stream-first indexing as a marketplace service
  The Graph community is chatting about the idea of using RPC and event streams as a new indexer service class. This could pave the way for an open market for streams that come with SLAs, not just sticking to traditional GraphQL queries. Check out the discussion here.
• Gas as Data
  Multi-chain gas oracles work like on-chain signals that can be combined, thanks to the Blocknative Gas Network. This cool setup lets apps be more aware of fees, enhances account abstraction policies, and helps create “fair” inclusion policies that are linked to real-time market conditions. Check it out over at blocknative.com.
• AI agents connected to live onchain firehoses
  With Nansen MCP and Covalent agent tools, you can get labeled, real-time onchain data right into your AI planning processes. This is super handy for compliance agents, trading copilots, and real-time risk bots. Check it out here!

---

Decision matrix: fast path to the right stack

• Creating a perps DEX or intent router on an L2 (like Base or Arbitrum):
  • Combine Chainlink Data Streams with on-chain verification and Tenderly for alerting. Check it out here: (theblock.co)
• Getting a cross-chain wallet/portfolio app up and running in just 90 days:
  • Consider using Moralis Streams (webhooks + replay) or QuickNode Streams (exactly-once + backfill). You can jazz it up with Covalent GoldRush for all your token/NFT metadata and OHLCV. (moralis.com)
• Solana trading infrastructure for lightning-fast decisions:
  • Check out Helius LaserStream or ERPC Direct Shreds, plus co-located consumers for that extra edge. If you want, you can also use the Nansen API to get insights on labeled counterparties. (helius.dev)
• Dive into multi-chain analytics and BI with a cool time travel feature:
  • We're talking about The Graph Substreams, SQL sinks, and Foundational Stores all streaming right into your warehouse. Check it out here: (forum.thegraph.com)
• Fee-aware consumer apps:
  • Check out the Blocknative Gas Network oracle for predicting inclusion times, plus seamless AA wallet integrations. (docs.blocknative.com)

---

Implementation details that save weeks

• Idempotency keys: Combine the event_id with the block_hash. When a reorganization happens (look for “removed: true”), make sure to apply compensating deletes. You can find more about this here.
• Backfill strategy: Start by hydrating historical data using provider batch APIs like QuickNode Streams for backfilling and Helius archival. After that, switch over to the live stream. Don’t forget to keep track of the last processed block or slot so you can easily pick up where you left off. More details available here.
• WebSocket resilience: Implement a heartbeat or ping, and use jittered exponential backoff to manage disconnections. Also, consider capping subscription counts per connection and shard by topic for better organization. Check out the specifics here.
• Oracle defense-in-depth: Make sure to validate signatures, verify the freshness of reports, restrict assets and decimals, and consider adding Time-Weighted Average Price (TWAP) or circuit-breakers for any new or low-volume markets. More info can be found here.

---

Brief case notes from the field

• Streams to warehouse in under a week: Teams have rolled out ERC‑20 transfer indexers using QuickNode Streams → Postgres with some handy server-side filters and exactly-once delivery. Oh, and they whipped up Grafana dashboards in less than a day! Check it out here.
• Solana aggregator latency wins: By upgrading from standard WebSockets to LaserStream, they managed to cut down on update lag and connection hiccups, which means quoting is way more reliable now! More info can be found here.
• Lending market oracle modernization: SparkLend has teamed up with RedStone to keep multi-asset markets secure, all while dialing down the number of on-chain updates needed for each feed. You can read about it here.

---

Final guidance for decision‑makers

• Think of real-time data like a portfolio: blend in some solid market-data oracles (like Streams, Pyth, or RedStone) with event streams from QuickNode, Moralis, or Alchemy. Don't forget to throw in a stream-first indexer like The Graph Substreams and use chain-native feeds when latency is a big deal (check out LaserStream or Direct Shreds).
• Make sure you're asking for clear SLAs: you want to know about latency percentiles, replay guarantees, reorg semantics, and on-chain verification options.
• Always plan for things to go south: incorporate signature checks, set up circuit-breakers, and create replayable pipelines.
• Spend your budget wisely: invest in verified, low-latency data for the important stuff while using filtered streams for everything else.

If you're looking for a solid reference architecture along with a 2-4 week implementation plan tailored to your chosen chains and products, 7Block Labs has got you covered. They can design a blueprint for your stack using these components and deliver a pilot that meets specific latency and reliability targets.

---

References (selected)

• Dive into Chainlink Data Streams docs, reference info, and deployments like Base, Sei, and the native MegaETH. Check it out here.
• Explore the Pyth pull oracle on Solana. It covers the integration code, TWAP, and some performance insights. More details can be found here.
• Discover RedStone's multi-feed relayers, which are making waves in Solana via Wormhole Queries, plus the Spark integration. Get the scoop here.
• Check out the latest on The Graph's Substreams/Firehose product updates, like Foundational Stores, SQL sink, and RPC v3. You can find the discussion here.
• Learn about QuickNode Streams and their exactly-once and backfill capabilities, plus Moralis Streams' delivery guarantees. Don’t miss out on Alchemy Webhooks docs and incident examples here.
• Get the lowdown on Solana's chain-native streams including Helius LaserStream, ERPC Direct Shreds, and Syndica ChainStream. Find more details here.
• For insights on mempool and gas, take a peek at bloXroute streams and Base features, along with Blocknative Gas Network. Check it out here.
• Finally, discover the Nansen API/MCP and the Covalent GoldRush Streaming, which covers sub-second OHLCV and streaming volume. Learn more here.