Build An Alert Workflow Prompt
Designs a complete alerting pipeline — events, sources, thresholds, deduplication and delivery — from a plain description.
/ quick answer
Use to specify a monitoring automation before building it in an automation platform. Designs a complete alerting pipeline — events, sources, thresholds, deduplication and delivery — from a plain description.
Design an alerting workflow from this description. Output an implementable spec, not advice. GOAL: [what you want to be told about] Assets / addresses / protocols: [LIST] Available tools: [automation platform, data APIs, notification channel] Tolerance: [how many alerts per week are acceptable] Produce: 1. Event definitions with exact thresholds and the reason each threshold was chosen. 2. Data source per event, including the specific endpoint or query type. 3. Polling or webhook design, with frequency and cost considerations. 4. Normalised event schema (field names and types). 5. Deduplication and rate-limiting rules keyed to prevent alert storms. 6. Enrichment fields that make each alert actionable without further lookups. 7. Notification format: one example message per event type. 8. Failure handling: what happens when a data source is down or returns stale data. 9. A monthly review checklist to prune useless rules. Assume no execution — alerts only.
Event 1: watchlisted wallet buys over $25k in a token under $50M cap — threshold set so roughly 3 alerts/week fire. Source: indexer webhook on address activity. Schema: {chain, wallet_label, token, direction, usd_value, tx_hash, ts}. Dedup: key wallet+token, 6h cooldown. Enrichment: token liquidity, 24h change. Message: '[SmartMoney-3] bought $41k TOKEN — pool $2.1M — tx ↗'. Stale data: alert the operator, do not fire trade alerts.What does the Build An Alert Workflow Prompt prompt do?
Use to specify a monitoring automation before building it in an automation platform.
Which AI models work with this prompt?
It is model-agnostic: it works with any capable general model. Replace the bracketed variables with your own context before running it.
What output should I expect?
Event 1: watchlisted wallet buys over $25k in a token under $50M cap — threshold set so roughly 3 alerts/week fire. Source: indexer webhook on address activity. Schema: {chain, wallet_label, token, direction, usd_value, tx_hash, ts}. Dedup: key wallet+token, 6h cooldown. Enrichment: token liquidity,.
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Related concepts
The vocabulary this page depends on.
- →Crypto Automation
Crypto automation is rule-based execution of monitoring, alerting and recurring on-chain actions, so decisions are made once and applied consistently.
- →On-chain Data
On-chain data is the public record of every transaction, balance and contract call — the raw material for wallet tracking and market research.
Related workflows
Turn this into a repeatable process.
- →Build An On-chain Alert System
Assemble a monitoring pipeline that watches addresses, tokens and contracts and delivers deduplicated, contextual alerts.
- →Automated Crypto Alerts
Define the conditions that would change a decision, monitor them automatically, and receive one clean notification instead of watching charts.
- →Build a Research Automation Pipeline
Question in, sourced structured brief out — on a schedule.
- →AI Crypto Research Workflow
A repeatable research loop: turn a question into market data, on-chain evidence and a written risk view before any position is considered.
Related tool stacks
The tools that run it in production.
- →Crypto Automation Stack
Automation platform, data APIs, alerting and optional wallet execution — the operational layer for monitoring and recurring actions.
- →On-chain Research Stack
Explorer, indexer and analytics layers combined so wallet and token questions get answered with verifiable data.
Related prompts
Reusable prompts for this job.
- →Recurring Crypto Workflow Prompt
Specifies a safe recurring on-chain automation with spend caps, idempotency, failure handling and a kill switch.
- →Portfolio Monitoring Workflow Prompt
Designs a read-only monitoring system across wallets and chains, with exposure limits and drift alerts.
- →Browser Automation Task Spec Prompt
Converts a manual click-path into a reliable automation spec.
- →Sourced Research Brief Prompt
Produces a structured brief where every claim carries a citation.
Related use cases
How people apply it, and what came out.
- →Create An On-chain Alert System
A purpose-built alert pipeline with enrichment and deduplication achieved a 30% action rate, versus near-zero for off-the-shelf feeds.
- →Monitor A Crypto Portfolio
Aggregating six addresses across three chains revealed that a portfolio believed to hold 14 positions actually held one concentrated bet.
- →Build An AI Crypto Research Agent
A read-only research agent produced daily briefings on a 30-token watchlist, cutting a 90-minute manual routine to a 10-minute review.
Comparisons & alternatives
Pick between the options.
- →On-chain Data vs Exchange Data
On-chain data shows verifiable wallet-level behaviour; exchange data shows aggregate price discovery. Serious research needs both.
- →Best AI Workflow Automation Tools: n8n vs Zapier vs Make
The three tools most operators consider for AI workflow automation — compared on pricing, AI integration and technical flexibility.