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Integration

Automate Llama with AI agents

Describe a DeFi research workflow in plain English. Twin builds an agent that fetches TVL data, ranks protocols by chain, and stores results — on a schedule you set.

Integration guide

How Twin uses Llama inside repeatable agent workflows

Twin treats Llama as part of a larger workflow, not as an isolated connector. An agent can read the relevant records, combine them with context from other tools, decide what needs to happen next, and report the finished work back to the team.

The page below shows the practical automation patterns for Llama: what the agent can monitor, which actions it can take, and how the workflow stays observable when it runs on a schedule.

Common starting points include defi protocol competitive research, tvl data to google sheets, crypto project prospecting. Each example is designed to become a reusable agent, so teams can start from a narrow job and expand it as the process matures.

Twin is most useful when the most common Llama pain point is pulling TVL figures by hand and pasting them into spreadsheets. Twin fetches from the API on a schedule and writes directly to Google Sheets, so the data is current when you open the file.

What you can do with Llama

Real Llama workflows the Twin community runs every day, ready for you to clone.

  • Daily TVL ranking reports by chain and protocol

    Fetch total value locked across all protocols, compute 24h and 7d growth rates, and produce ranked lists sorted by gain.

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  • Multi-chain TVL monitoring with alerts

    Watch Ethereum, Solana, Arbitrum, and Base protocols simultaneously. Filter for top movers and store snapshots for trend analysis.

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  • On-chain token activity tracking

    Collect holder counts, large transactions, wallet activity, and on-chain volume for specific tokens, then save structured reports.

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  • Crypto project lead enrichment

    Identify funded crypto projects, locate their GitHub repositories, and enrich each record with company info and web presence.

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  • Leading indicator research across DeFi

    Run repeatable workflows that combine Llama market data with signals from Binance and DefiLlama to surface early momentum shifts.

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  • Web3 security and hack registry tracking

    Monitor and record DeFi exploit events, correlating protocol TVL data with incident history for ongoing research.

    Explore

How it works

Three steps from idea to a running Llama agent.

  1. 1

    Connect via OAuth

    Sign in to Llama once. Twin securely manages the connection and handles token refreshes for you.

  2. 2

    Describe the workflow

    Tell Twin in plain English what you want done in Llama. The agent figures out the API calls itself.

  3. 3

    Twin builds and runs

    Twin assembles the agent, runs it on demand or on a schedule, and adapts when Llama responds in unexpected ways.

Why Twin for Llama

What makes Twin a better fit than a generic automation tool.

No manual data copying

The most common Llama pain point is pulling TVL figures by hand and pasting them into spreadsheets. Twin fetches from the API on a schedule and writes directly to Google Sheets, so the data is current when you open the file.

Handles API and browser access

Llama workflows sometimes require structured API calls and sometimes require navigating browser-visible pages. Twin can use whichever path is available for a given step, without you needing to manage the difference.

Repeatable, not one-off

Users describe needing a reliable way to turn Llama activity into a repeatable workflow. Twin agents run on a schedule — daily TVL rankings, weekly protocol reports — without manual re-triggering.

Build with more than Llama

These related integration pages give crawlers and readers another path through the automation catalog. They connect Llama to nearby apps, categories, and paired workflows that teams often evaluate together.

See all integrations

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Frequently asked questions

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