# DeFi TVL Anomaly Detector (`gochujang/defi-tvl-anomaly-detector`) Actor Scans 7000+ DeFi protocols for extreme TVL changes. Detects hacks, rug pulls, suspicious spikes, and major capital inflows. Severity classified as critical/high/medium/info. Free DefiLlama API, no key needed. $0.005/run. - **URL**: https://apify.com/gochujang/defi-tvl-anomaly-detector.md - **Developed by:** [Hojun Lee](https://apify.com/gochujang) (community) - **Categories:** Developer tools, Automation, News - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing Pay per usage This Actor is paid per platform usage. The Actor is free to use, and you only pay for the Apify platform usage, which gets cheaper the higher subscription plan you have. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-usage ## What's an Apify Actor? Actors are web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows. In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours, and optionally produces a well-defined JSON output, datasets with results, or files in key-value store. In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server. Actors are written with capital "A". ## How to integrate an Actor? If asked about integration, you help developers integrate Actors into their projects. You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready. The best way to integrate Actors is as follows. In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js/docs.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python/docs.md): ```bash pip install apify-client ``` In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md): ````bash # MacOS / Linux curl -fsSL https://apify.com/install-cli.sh | bash # Windows irm https://apify.com/install-cli.ps1 | iex ```bash In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/integrations/mcp.md). If your project is in a different language, use the [REST API](https://docs.apify.com/api/v2.md). For usage examples, see the [API](#api) section below. For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt). # README ## DeFi TVL Anomaly Detector Scans 7,000+ DeFi protocols for extreme TVL changes in the last 24h. Detects hacks, rug pulls, suspicious inflows, and capital flight — before it shows up in the news. ### What It Does Pulls the full DefiLlama protocol list and flags protocols with abnormal 24h TVL movement. Anomalies are classified by type and severity so you can triage at a glance. ### Anomaly Types | Type | Severity | Description | |---|---|---| | `rug_or_drain` | **Critical** | TVL collapsed to near-zero from significant prior value | | `severe_drain` | **High** | −70%+ TVL change in 24h (likely hack, exploit, or mass exit) | | `major_drain` | **Medium** | −40%+ TVL change (significant capital flight) | | `suspicious_spike` | **Medium** | +500%+ TVL spike (likely TVL manipulation or bootstrapped farming) | | `major_inflow` | **Info** | +100%+ TVL growth (new incentive program, major partnership) | ### Input | Field | Type | Default | Description | |---|---|---|---| | `minTvlMillion` | number | `0.1` | Min protocol TVL in $M to include. Filters dust/micro-protocols. | | `minChangeAbsPct` | number | `40` | Min absolute 24h change % to report. | | `severityFilter` | string | `""` | Filter to one severity: `critical`, `high`, `medium`, `info` | | `sortBy` | string | `"severity"` | Sort: `severity`, `change_1d`, or `tvl` | | `limit` | integer | `100` | Max results (up to 500) | ### Output Schema ```json { "name": "Euler Finance", "slug": "euler", "category": "Lending", "chains": ["Ethereum"], "tvl_usd": 85000, "tvl_m": 0.085, "change_1d_pct": -98.5, "change_7d_pct": -97.2, "anomaly_type": "severe_drain", "severity": "high", "defillama_url": "https://defillama.com/protocol/euler", "fetched_at": "2026-07-08T14:00:00+00:00" } ```` ### Key Value Store A `SUMMARY` object is saved with: - `total_anomalies`: count of anomalies found - `by_severity`: counts per severity level - `by_type`: counts per anomaly type - `critical_alerts`: top 10 critical findings - `high_alerts`: top 10 high-severity findings ### Pricing **$0.005 per run** — flat rate. No API key required. ### Use Cases - **Security monitoring**: schedule every hour to catch exploits early - **Risk management**: check exposure before entering large DeFi positions - **Research signals**: large inflows often precede token price movements - **Portfolio protection**: alert when protocols you use have anomalous TVL drops ### Data Source DefiLlama free API (`api.llama.fi/protocols`) — public, no auth required. ### Notes - TVL data is delayed ~1 hour from real-time blockchain state - A "suspicious spike" is not necessarily malicious — it can be genuine growth from new farms - `rug_or_drain` detection uses 7d TVL to estimate prior value; may fire on newly listed protocols - For hacks specifically, cross-reference with Rekt.news or DeFiYield Shield # Actor input Schema ## `minTvlMillion` (type: `number`): Filter protocols with TVL below this threshold (in millions USD). Reduces noise from micro-protocols. Default: 0.1 ($100K). ## `minChangeAbsPct` (type: `number`): Only include protocols with 24h TVL change greater than this absolute percentage. Default: 40 (40%). ## `severityFilter` (type: `string`): Only return anomalies of this severity level. Leave empty to return all. Options: critical, high, medium, info. ## `sortBy` (type: `string`): How to sort results. severity = most critical first. change\_1d = largest drain first. tvl = largest protocol first. ## `limit` (type: `integer`): Maximum number of results to return. Default: 100, max: 500. ## Actor input object example ```json { "minTvlMillion": 0.1, "minChangeAbsPct": 40, "severityFilter": "", "sortBy": "severity", "limit": 100 } ``` # API You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup. ## JavaScript example ```javascript import { ApifyClient } from 'apify-client'; // Initialize the ApifyClient with your Apify API token // Replace the '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = {}; // Run the Actor and wait for it to finish const run = await client.actor("gochujang/defi-tvl-anomaly-detector").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`); const { items } = await client.dataset(run.defaultDatasetId).listItems(); items.forEach((item) => { console.dir(item); }); // 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs ``` ## Python example ```python from apify_client import ApifyClient # Initialize the ApifyClient with your Apify API token # Replace '' with your token. client = ApifyClient("") # Prepare the Actor input run_input = {} # Run the Actor and wait for it to finish run = client.actor("gochujang/defi-tvl-anomaly-detector").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{}' | apify call gochujang/defi-tvl-anomaly-detector --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=gochujang/defi-tvl-anomaly-detector", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "DeFi TVL Anomaly Detector", "description": "Scans 7000+ DeFi protocols for extreme TVL changes. Detects hacks, rug pulls, suspicious spikes, and major capital inflows. Severity classified as critical/high/medium/info. Free DefiLlama API, no key needed. $0.005/run.", "version": "0.1", "x-build-id": "NgJXpzJUtlvTiOlrG" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/gochujang~defi-tvl-anomaly-detector/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-gochujang-defi-tvl-anomaly-detector", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/gochujang~defi-tvl-anomaly-detector/runs": { "post": { "operationId": "runs-sync-gochujang-defi-tvl-anomaly-detector", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK", "content": { "application/json": { "schema": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/gochujang~defi-tvl-anomaly-detector/run-sync": { "post": { "operationId": "run-sync-gochujang-defi-tvl-anomaly-detector", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } } }, "components": { "schemas": { "inputSchema": { "type": "object", "properties": { "minTvlMillion": { "title": "Minimum TVL ($ million)", "minimum": 0, "type": "number", "description": "Filter protocols with TVL below this threshold (in millions USD). Reduces noise from micro-protocols. Default: 0.1 ($100K).", "default": 0.1 }, "minChangeAbsPct": { "title": "Minimum Absolute Change (%)", "minimum": 1, "type": "number", "description": "Only include protocols with 24h TVL change greater than this absolute percentage. Default: 40 (40%).", "default": 40 }, "severityFilter": { "title": "Severity Filter", "enum": [ "", "critical", "high", "medium", "info" ], "type": "string", "description": "Only return anomalies of this severity level. Leave empty to return all. Options: critical, high, medium, info.", "default": "" }, "sortBy": { "title": "Sort By", "enum": [ "severity", "change_1d", "tvl" ], "type": "string", "description": "How to sort results. severity = most critical first. change_1d = largest drain first. tvl = largest protocol first.", "default": "severity" }, "limit": { "title": "Result Limit", "minimum": 1, "maximum": 500, "type": "integer", "description": "Maximum number of results to return. Default: 100, max: 500.", "default": 100 } } }, "runsResponseSchema": { "type": "object", "properties": { "data": { "type": "object", "properties": { "id": { "type": "string" }, "actId": { "type": "string" }, "userId": { "type": "string" }, "startedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "finishedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "status": { "type": "string", "example": "READY" }, "meta": { "type": "object", "properties": { "origin": { "type": "string", "example": "API" }, "userAgent": { "type": "string" } } }, "stats": { "type": "object", "properties": { "inputBodyLen": { "type": "integer", "example": 2000 }, "rebootCount": { "type": "integer", "example": 0 }, "restartCount": { "type": "integer", "example": 0 }, "resurrectCount": { "type": "integer", "example": 0 }, "computeUnits": { "type": "integer", "example": 0 } } }, "options": { "type": "object", "properties": { "build": { "type": "string", "example": "latest" }, "timeoutSecs": { "type": "integer", "example": 300 }, "memoryMbytes": { "type": "integer", "example": 1024 }, "diskMbytes": { "type": "integer", "example": 2048 } } }, "buildId": { "type": "string" }, "defaultKeyValueStoreId": { "type": "string" }, "defaultDatasetId": { "type": "string" }, "defaultRequestQueueId": { "type": "string" }, "buildNumber": { "type": "string", "example": "1.0.0" }, "containerUrl": { "type": "string" }, "usage": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "integer", "example": 1 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } }, "usageTotalUsd": { "type": "number", "example": 0.00005 }, "usageUsd": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "number", "example": 0.00005 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } } } } } } } } } ```