Integration
Describe what you want to track or report. Twin builds an agent that pulls prices, scans tickers, and delivers results — on a schedule or on demand.
Integration guide
Twin treats Twelve Data 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 Twelve Data: 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 market data to spreadsheet, ticker and instrument monitoring, scheduled data pipeline. 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 a recurring pain point with Twelve Data workflows is that price data gets pulled once, pasted somewhere, and goes stale. Twin agents run on a schedule and write directly to your destination — spreadsheet, doc, or messaging channel — so the data stays current without manual steps.
Real Twelve Data workflows the Twin community runs every day, ready for you to clone.
Pull historical price data from Twelve Data for one or many tickers and write results to a spreadsheet or report.
ExploreAgents like Morning Edge Scanner and Forex Scanner use Twelve Data market data to evaluate conditions across instruments on a recurring basis.
ExploreWhen market conditions match a threshold, push a structured alert to a Telegram channel using Twelve Data price or indicator data.
ExploreCollect price history across a target ticker list, compare weekly performance, and output a formatted summary document or sheet.
ExploreAgents such as EURUSD Signal Agent and Gold Analysis System apply Twelve Data feeds to specific instruments and log or broadcast findings.
ExplorePair Twelve Data price data with Binance or CoinGecko feeds in a single agent to cover both equity and crypto instruments.
ExploreThree steps from idea to a running Twelve Data agent.
Connect via OAuth
Sign in to Twelve Data once. Twin securely manages the connection and handles token refreshes for you.
Describe the workflow
Tell Twin in plain English what you want done in Twelve Data. The agent figures out the API calls itself.
Twin builds and runs
Twin assembles the agent, runs it on demand or on a schedule, and adapts when Twelve Data responds in unexpected ways.
What makes Twin a better fit than a generic automation tool.
A recurring pain point with Twelve Data workflows is that price data gets pulled once, pasted somewhere, and goes stale. Twin agents run on a schedule and write directly to your destination — spreadsheet, doc, or messaging channel — so the data stays current without manual steps.
Twelve Data workflows may require API calls or browser-level interaction depending on what's available. Twin handles both. If structured API access is limited, Twin falls back to browser steps to complete the workflow without requiring you to reconfigure anything.
Turning a Twelve Data data pull into a repeatable workflow normally means writing scripts, scheduling jobs, and maintaining them. Describe the workflow in plain English and Twin builds and runs the agent. No infrastructure to manage.
Be the first to build a Twelve Data agent.
The Twin community hasn't published a Twelve Data agent yet — describe what you'd like to automate and we'll build it for you in minutes.
Build the first Twelve Data agentPatterns that show up across the Twin community — start from one and adapt it.
Pull Twelve Data price history and write structured results into a maintained sheet.
Track price movements and signal conditions across a defined instrument list.
Run Twelve Data fetches on a schedule and route outputs to downstream tools.
These related integration pages give crawlers and readers another path through the automation catalog. They connect Twelve Data to nearby apps, categories, and paired workflows that teams often evaluate together.
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