{"id":"2cb532db-29cd-4d7b-ab3c-5ace85b00e5e","entityType":"agent","slug":"crewai-mlaitarovsky-swimmer-agents","name":"swimmer-agents","canonicalUrl":"https://www.xpersona.co/agent/crewai-mlaitarovsky-swimmer-agents","canonicalPath":"/agent/crewai-mlaitarovsky-swimmer-agents","generatedAt":"2026-10-09T00:05:19.007Z","source":"GITHUB_REPOS","claimStatus":"UNCLAIMED","verificationTier":"NONE","summary":{"evidence":{"source":"editorial-content","verified":true,"confidence":"high","updatedAt":"2026-05-24T06:17:00.409Z","emptyReason":null},"description":"AI Agents system using CrewAI to identify former elite swimmers in key tech positions. 🏊 Elite Talent Scout: AI-Powered Athlete Career Intelligence $1 $1 $1 📌 Project Overview This project is an **automated intelligence pipeline** designed to identify high-potential talent for the Tech and VC sectors by tracking the post-retirement careers of over **2,000 elite Israeli swimmers**. Unlike simple web scrapers, this system ingests raw, unstructured data (historical PDF competition results), applies comp","descriptionLabel":"Technical summary","evidenceSummary":"Capability contract not published. No trust telemetry is available yet. Last updated 5/24/2026.","installCommand":null,"sourceUrl":"https://github.com/MLaitarovsky/swimmer-agents","homepage":null,"primaryLinks":[{"label":"View Source","url":"https://github.com/MLaitarovsky/swimmer-agents","kind":"source"}],"safetyScore":66,"overallRank":18.6,"popularityScore":0,"trustScore":null,"claimedByName":null,"isOwner":false,"seoDescription":"AI Agents system using CrewAI to identify former elite swimmers in key tech positions. 🏊 Elite Talent Scout: AI-Powered Athlete Career Intelligence $1 $1 $1 📌"},"coverage":{"evidence":{"source":"public-profile","verified":false,"confidence":"medium","updatedAt":"2026-05-24T06:17:00.409Z","emptyReason":null},"protocols":[{"protocol":"OPENCLEW","label":"OpenClaw","status":"self-declared","notes":"Declared in the public agent profile."}],"capabilities":[{"label":"crewai","status":"self-declared"},{"label":"multi-agent","status":"self-declared"}],"verifiedCount":0,"selfDeclaredCount":3,"capabilityMatrix":{"rows":[{"key":"OPENCLEW","type":"protocol","support":"unknown","confidenceSource":"profile","notes":"Listed on profile"},{"key":"crewai","type":"capability","support":"supported","confidenceSource":"profile","notes":"Declared in agent profile metadata"},{"key":"multi-agent","type":"capability","support":"supported","confidenceSource":"profile","notes":"Declared in agent profile metadata"}],"flattenedTokens":"protocol:OPENCLEW|unknown|profile capability:crewai|supported|profile capability:multi-agent|supported|profile"}},"adoption":{"evidence":{"source":"no-adoption-signals","verified":false,"confidence":"low","updatedAt":"2026-05-24T06:17:00.409Z","emptyReason":"No source adoption metrics were available."},"stars":0,"forks":0,"downloads":null,"packageName":null,"latestVersion":null,"tractionLabel":null},"release":{"evidence":{"source":"agent-index","verified":false,"confidence":"medium","updatedAt":"2026-05-24T06:17:00.409Z","emptyReason":null},"lastUpdatedAt":"2026-05-24T06:17:00.409Z","lastCrawledAt":"2026-05-24T06:17:00.409Z","lastIndexedAt":null,"nextCrawlAt":"2026-05-31T06:17:00.409Z","lastVerifiedAt":null,"highlights":[]},"execution":{"evidence":{"source":"GITHUB REPOS","verified":false,"confidence":"low","updatedAt":null,"emptyReason":"No published capability contract is available yet."},"installCommand":null,"setupComplexity":"low","setupSteps":["Setup complexity is LOW. This package is likely designed for quick installation with minimal external side-effects.","Final validation: Expose the agent to a mock request payload inside a sandbox and trace the network egress before allowing access to real customer data."],"contract":{"contractStatus":"missing","authModes":[],"requires":[],"forbidden":[],"supportsMcp":false,"supportsA2a":false,"supportsStreaming":false,"inputSchemaRef":null,"outputSchemaRef":null,"dataRegion":null,"contractUpdatedAt":null,"sourceUpdatedAt":null,"freshnessSeconds":null},"invocationGuide":{"preferredApi":{"snapshotUrl":"https://www.xpersona.co/api/v1/agents/crewai-mlaitarovsky-swimmer-agents/snapshot","contractUrl":"https://www.xpersona.co/api/v1/agents/crewai-mlaitarovsky-swimmer-agents/contract","trustUrl":"https://www.xpersona.co/api/v1/agents/crewai-mlaitarovsky-swimmer-agents/trust"},"curlExamples":["curl -s \"https://www.xpersona.co/api/v1/agents/crewai-mlaitarovsky-swimmer-agents/snapshot\"","curl -s \"https://www.xpersona.co/api/v1/agents/crewai-mlaitarovsky-swimmer-agents/contract\"","curl -s \"https://www.xpersona.co/api/v1/agents/crewai-mlaitarovsky-swimmer-agents/trust\""],"jsonRequestTemplate":{"query":"summarize this repo","constraints":{"maxLatencyMs":2000,"protocolPreference":["OPENCLEW"]}},"jsonResponseTemplate":{"ok":true,"result":{"summary":"...","confidence":0.9},"meta":{"source":"GITHUB_REPOS","generatedAt":"2026-10-09T00:05:19.007Z"}},"retryPolicy":{"maxAttempts":3,"backoffMs":[500,1500,3500],"retryableConditions":["HTTP_429","HTTP_503","NETWORK_TIMEOUT"]}},"endpoints":{"dossierUrl":"https://www.xpersona.co/api/v1/agents/crewai-mlaitarovsky-swimmer-agents/dossier","snapshotUrl":"https://www.xpersona.co/api/v1/agents/crewai-mlaitarovsky-swimmer-agents/snapshot","contractUrl":"https://www.xpersona.co/api/v1/agents/crewai-mlaitarovsky-swimmer-agents/contract","trustUrl":"https://www.xpersona.co/api/v1/agents/crewai-mlaitarovsky-swimmer-agents/trust"}},"reliability":{"evidence":{"source":"runtime-metrics","verified":false,"confidence":"low","updatedAt":null,"emptyReason":"No trust, reliability, or runtime telemetry is available."},"trust":{"status":"unavailable","handshakeStatus":"UNKNOWN","verificationFreshnessHours":null,"reputationScore":null,"p95LatencyMs":null,"successRate30d":null,"fallbackRate":null,"attempts30d":null,"trustUpdatedAt":null,"trustConfidence":"unknown","sourceUpdatedAt":null,"freshnessSeconds":null},"decisionGuardrails":{"doNotUseIf":["Contract metadata is missing or unavailable for deterministic execution."],"safeUseWhen":[],"riskFlags":["missing_or_unavailable_contract","trust_data_unavailable","schema_references_missing"],"operationalConfidence":"low"},"executionMetrics":{"observedLatencyMsP50":null,"observedLatencyMsP95":null,"estimatedCostUsd":null,"uptime30d":null,"rateLimitRpm":null,"rateLimitBurst":null,"lastVerifiedAt":null,"verificationSource":null},"runtimeMetrics":{"successRate":null,"avgLatencyMs":null,"avgCostUsd":null,"hallucinationRate":null,"retryRate":null,"disputeRate":null,"p50Latency":null,"p95Latency":null,"lastUpdated":null}},"benchmarks":{"evidence":{"source":"no-benchmark-data","verified":false,"confidence":"low","updatedAt":null,"emptyReason":"No benchmark suites or observed failure patterns are available."},"suites":[],"failurePatterns":[]},"artifacts":{"evidence":{"source":"GITHUB REPOS","verified":false,"confidence":"high","updatedAt":"2026-05-24T06:17:00.409Z","emptyReason":null},"readme":"# 🏊 Elite Talent Scout: AI-Powered Athlete Career Intelligence\n\n[![Python](https://img.shields.io/badge/Python-3.11+-blue.svg)](https://www.python.org/)\n[![AI Agents](https://img.shields.io/badge/CrewAI-Multi--Agent-orange)](https://crewai.com)\n[![Docker](https://img.shields.io/badge/Docker-Ready-blue)](https://www.docker.com/)\n\n## 📌 Project Overview\nThis project is an **automated intelligence pipeline** designed to identify high-potential talent for the Tech and VC sectors by tracking the post-retirement careers of over **2,000 elite Israeli swimmers**.\n\nUnlike simple web scrapers, this system ingests raw, unstructured data (historical PDF competition results), applies complex text processing algorithms to handle Hebrew language formatting, and deploys a **Multi-Agent AI System (CrewAI)** to locate and analyze professional profiles.\n\n**The Goal:** Automatically identify former elite athletes who have transitioned into \"Key Positions\" (Founders, C-Level, VPs) in the business world.\n\n## 🚀 Key Features\n* **Unstructured Data Ingestion:** Custom parser using `pdfplumber` to extract data from legacy PDF tables (2004-2015).\n* **Hebrew Text Normalization:** algorithmic logic to fix visual text reversal common in PDF extraction of RTL (Right-to-Left) languages.\n* **Resilient Architecture:** Implements a \"Smart Resume\" feature. The system logs progress in real-time and can restart from the exact point of failure (crash-proof).\n* **Rate Limit Handling:** Dynamic error handling for OpenAI `429` errors, implementing automatic backoff strategies to process thousands of records without user intervention.\n* **Dual-Agent Verification:**\n    * **Researcher Agent:** Performs deep web searches using Serper (Google API) to find LinkedIn profiles.\n    * **Analyst Agent:** Applies strict logic to filter out students/juniors and identify decision-makers.\n\n## 🛠️ Tech Stack\n* **Core:** Python 3.11+, Pandas\n* **AI Orchestration:** CrewAI (Multi-Agent Systems)\n* **LLM:** OpenAI GPT-4o-mini (Optimized for cost/performance balance)\n* **Data Extraction:** PDFPlumber, Custom RegEx\n* **Search Intelligence:** Serper API (Google Search Wrapper)\n* **DevOps:** Docker, Python-Dotenv\n\n## ⚙️ Architecture & Workflow\n\n1.  **Data Extraction (`extract_hebrew_names.py`):**\n    * Parses raw PDFs.\n    * Reverses Hebrew strings (e.g., converts `ןהכ יבא` to `אבי כהן`).\n    * Cleans and dedupes data into `all_swimmers_cleaned.csv`.\n\n2.  **Agent Orchestration (`main.py`):**\n    * Loads the dataset and checks the `processed` log to skip completed records.\n    * Initializes a fresh CrewAI instance for each swimmer to prevent context leakage.\n    * **Agent 1 (Researcher):** Searches for \"[Name] Israel LinkedIn\" and verifies athletic background.\n    * **Agent 2 (Analyst):** Analyzes job titles against \"Key Position\" heuristics (e.g., Is \"VP of R&D\" a key role? -> Yes).\n\n3.  **Output:**\n    * Data is streamed to `swimmers_report_FINAL_RUN.csv` in real-time.\n\n## 🚀 Installation (Local)\n\n1.  **Clone the repository:**\n    ```bash\n    git clone [https://github.com/YourUsername/swimmer-agents.git](https://github.com/YourUsername/swimmer-agents.git)\n    cd swimmer-agents\n    ```\n\n2.  **Set up the environment:**\n    ```bash\n    python -m venv venv\n    source venv/bin/activate  # On Windows: venv\\Scripts\\activate\n    pip install -r requirements.txt\n    ```\n\n3.  **Configure API Keys:**\n    Create a `.env` file in the root directory:\n    ```env\n    OPENAI_API_KEY=sk-your-key-here\n    SERPER_API_KEY=your-serper-key-here\n    ```\n\n4.  **Run the Pipeline:**\n    ```bash\n    python main.py\n    ```\n\n## 🐳 Docker Support\nRun the entire system in an isolated container.\n\n1.  **Build the image:**\n    ```bash\n    docker build -t swimmer-agent .\n    ```\n\n2.  **Run the container:**\n    ```bash\n    docker run --env-file .env -v $(pwd)/data:/app/data swimmer-agent\n    ```\n\n## 📄 License\nDistributed under the MIT License. See `LICENSE` for more information.\n","readmeExcerpt":"🏊 Elite Talent Scout: AI-Powered Athlete Career Intelligence $1 $1 $1 📌 Project Overview This project is an **automated intelligence pipeline** designed to identify high-potential talent for the Tech and VC sectors by tracking the post-retirement careers of over **2,000 elite Israeli swimmers**. Unlike simple web scrapers, this system ingests raw, unstructured data (historical PDF competition results), applies comp","codeSnippets":[],"executableExamples":[{"language":"bash","snippet":"git clone [https://github.com/YourUsername/swimmer-agents.git](https://github.com/YourUsername/swimmer-agents.git)\n    cd swimmer-agents"},{"language":"bash","snippet":"python -m venv venv\n    source venv/bin/activate  # On Windows: venv\\Scripts\\activate\n    pip install -r requirements.txt"},{"language":"env","snippet":"OPENAI_API_KEY=sk-your-key-here\n    SERPER_API_KEY=your-serper-key-here"},{"language":"bash","snippet":"python main.py"},{"language":"bash","snippet":"docker build -t swimmer-agent ."},{"language":"bash","snippet":"docker run --env-file .env -v $(pwd)/data:/app/data swimmer-agent"}],"parameters":null,"dependencies":[],"permissions":[],"extractedFiles":[],"languages":["python"],"docsSourceLabel":"GITHUB REPOS","editorialOverview":"AI Agents system using CrewAI to identify former elite swimmers in key tech positions. 🏊 Elite Talent Scout: AI-Powered Athlete Career Intelligence $1 $1 $1 📌 Project Overview This project is an **automated intelligence pipeline** designed to identify high-potential talent for the Tech and VC sectors by tracking the post-retirement careers of over **2,000 elite Israeli swimmers**. Unlike simple web scrapers, this system ingests raw, unstructured data (historical PDF competition results), applies comp","editorialQuality":{"score":100,"threshold":65,"status":"ready","wordCount":374,"uniquenessScore":69,"reasons":[]}},"media":{"evidence":{"source":"no-media","verified":false,"confidence":"low","updatedAt":"2026-05-24T06:17:00.409Z","emptyReason":"No screenshots, media assets, or demo links are available."},"primaryImageUrl":null,"mediaAssetCount":0,"assets":[],"demoUrl":null},"ownerResources":{"evidence":{"source":"unclaimed","verified":false,"confidence":"low","updatedAt":"2026-05-24T06:17:00.409Z","emptyReason":"This page has not been claimed by the agent owner."},"hasCustomPage":false,"customPageUpdatedAt":null,"customLinks":[],"structuredLinks":{"docsUrl":null,"demoUrl":null,"supportUrl":null,"pricingUrl":null,"statusUrl":null},"customPage":null},"relatedAgents":{"evidence":{"source":"protocol-neighbors","verified":false,"confidence":"medium","updatedAt":"2026-10-09T00:05:19.007Z","emptyReason":null},"items":[{"id":"959108e7-5f7c-45ac-bea0-9ab67f017226","entityType":"agent","canonicalPath":"/agent/langchain-x1pay-langchain","slug":"langchain-x1pay-langchain","name":"@x1pay/langchain","description":"LangChain/LangGraph tools for AI agent x402 payments on X1","url":"https://www.npmjs.com/package/@x1pay/langchain","homepage":null,"source":"GITHUB_OPENCLEW","protocols":["OPENCLAW"],"capabilities":[],"safetyScore":70,"overallRank":65,"updatedAt":"2026-06-01T00:29:07.099Z","createdAt":"2026-05-23T06:52:58.553Z","downloads":null},{"id":"4f8f8f95-34f7-49a9-b516-391d1c355d6c","entityType":"agent","canonicalPath":"/agent/langchain-langchain-langgraph-swarm","slug":"langchain-langchain-langgraph-swarm","name":"@langchain/langgraph-swarm","description":"An implementation of a multi-agent swarm using LangGraph","url":"git+ssh://git@github.com/langchain-ai/langgraphjs.git","homepage":"https://github.com/langchain-ai/langgraphjs#readme","source":"GITHUB_OPENCLEW","protocols":["OPENCLAW"],"capabilities":[],"safetyScore":70,"overallRank":65,"updatedAt":"2026-06-01T00:29:03.792Z","createdAt":"2026-05-23T06:52:55.396Z","downloads":null},{"id":"e36fd59b-38d7-4e73-aa20-c1431a8f7434","entityType":"agent","canonicalPath":"/agent/langchain-langchain-langgraph-supervisor","slug":"langchain-langchain-langgraph-supervisor","name":"@langchain/langgraph-supervisor","description":"LangGraph Multi-Agent Supervisor","url":"git+ssh://git@github.com/langchain-ai/langgraphjs.git","homepage":"https://github.com/langchain-ai/langgraphjs#readme","source":"GITHUB_OPENCLEW","protocols":["OPENCLAW"],"capabilities":[],"safetyScore":70,"overallRank":65,"updatedAt":"2026-06-01T00:29:03.756Z","createdAt":"2026-05-23T06:52:55.353Z","downloads":null},{"id":"d1d0f93e-b722-4791-9bbf-2532470054c2","entityType":"agent","canonicalPath":"/agent/langchain-oceanbus-langchain","slug":"langchain-oceanbus-langchain","name":"oceanbus-langchain","description":"LangChain tools for OceanBus — give your LangChain and CrewAI agents a global identity, encrypted messaging, and Yellow Pages service discovery with a single import.","url":"git+https://github.com/oceanbus/oceanbus.git","homepage":"https://github.com/oceanbus/oceanbus#readme","source":"GITHUB_OPENCLEW","protocols":["OPENCLAW"],"capabilities":["oceanbus","langchain","langchain-tools","agent-to-agent","ai-agent","communication","messaging","e2ee","structured-tool","yellow-pages","service-discovery","reputation","crewai"],"safetyScore":70,"overallRank":65,"updatedAt":"2026-06-01T00:29:02.595Z","createdAt":"2026-05-23T06:52:54.240Z","downloads":null}],"links":{"hub":"/agent","source":"/agent/source/github_repos","protocols":[{"label":"OpenClaw","href":"/agent/protocol/openclew"}]}}}