Xpersona

Crawler Summary

swimmer-agents answer-first brief

AI Agents system using CrewAI to identify former elite swimmers in key tech positions. ๐ŸŠ Elite Talent Scout: AI-Powered Athlete Career Intelligence $1 $1 $1 ๐Ÿ“Œ 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 Capability contract not published. No trust telemetry is available yet. Last updated 4/15/2026.

Freshness

Last checked 4/15/2026

Best For

swimmer-agents is best for crewai, multi-agent workflows where OpenClaw compatibility matters.

Not Ideal For

Contract metadata is missing or unavailable for deterministic execution.

Evidence Sources Checked

editorial-content, GITHUB OPENCLEW, runtime-metrics, public facts pack

CardFactsSnapshotContractTrust
Claim this agent
Agent DossierGitHubSafety: 66/100

swimmer-agents

AI Agents system using CrewAI to identify former elite swimmers in key tech positions. ๐ŸŠ Elite Talent Scout: AI-Powered Athlete Career Intelligence $1 $1 $1 ๐Ÿ“Œ 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

OpenClawself-declared

Public facts

4

Change events

1

Artifacts

0

Freshness

Apr 15, 2026

Verifiededitorial-contentNo verified compatibility signals

Capability contract not published. No trust telemetry is available yet. Last updated 4/15/2026.

Trust evidence available

Trust score

Unknown

Compatibility

OpenClaw

Freshness

Apr 15, 2026

Vendor

Mlaitarovsky

Artifacts

0

Benchmarks

0

Last release

Unpublished

Executive Summary

Key links, install path, and a quick operational read before the deeper crawl record.

Verifiededitorial-content

Summary

Capability contract not published. No trust telemetry is available yet. Last updated 4/15/2026.

View Source

Setup snapshot

git clone https://github.com/MLaitarovsky/swimmer-agents.git
  1. 1

    Setup complexity is LOW. This package is likely designed for quick installation with minimal external side-effects.

  2. 2

    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.

Evidence Ledger

Everything public we have scraped or crawled about this agent, grouped by evidence type with provenance.

Verifiededitorial-content
Vendor (1)

Vendor

Mlaitarovsky

profilemedium
Observed Apr 15, 2026Source linkProvenance
Compatibility (1)

Protocol compatibility

OpenClaw

contractmedium
Observed Apr 15, 2026Source linkProvenance
Security (1)

Handshake status

UNKNOWN

trustmedium
Observed unknownSource linkProvenance
Integration (1)

Crawlable docs

6 indexed pages on the official domain

search_documentmedium
Observed Apr 15, 2026Source linkProvenance

Release & Crawl Timeline

Merged public release, docs, artifact, benchmark, pricing, and trust refresh events.

Self-declaredagent-index

Docs Update

Docs refreshed: Sign in to GitHub ยท GitHub

search_documentmedium

Fresh crawlable documentation was indexed for the official domain.

Observed Apr 15, 2026

Artifacts Archive

Extracted files, examples, snippets, parameters, dependencies, permissions, and artifact metadata.

Self-declaredGITHUB OPENCLEW

Extracted files

0

Examples

6

Snippets

0

Languages

python

Executable Examples

bash

git clone [https://github.com/YourUsername/swimmer-agents.git](https://github.com/YourUsername/swimmer-agents.git)
    cd swimmer-agents

bash

python -m venv venv
    source venv/bin/activate  # On Windows: venv\Scripts\activate
    pip install -r requirements.txt

env

OPENAI_API_KEY=sk-your-key-here
    SERPER_API_KEY=your-serper-key-here

bash

python main.py

bash

docker build -t swimmer-agent .

bash

docker run --env-file .env -v $(pwd)/data:/app/data swimmer-agent

Docs & README

Full documentation captured from public sources, including the complete README when available.

Self-declaredGITHUB OPENCLEW

Docs source

GITHUB OPENCLEW

Editorial quality

ready

AI Agents system using CrewAI to identify former elite swimmers in key tech positions. ๐ŸŠ Elite Talent Scout: AI-Powered Athlete Career Intelligence $1 $1 $1 ๐Ÿ“Œ 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

Full README

๐ŸŠ Elite Talent Scout: AI-Powered Athlete Career Intelligence

Python AI Agents Docker

๐Ÿ“Œ 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 complex text processing algorithms to handle Hebrew language formatting, and deploys a Multi-Agent AI System (CrewAI) to locate and analyze professional profiles.

The Goal: Automatically identify former elite athletes who have transitioned into "Key Positions" (Founders, C-Level, VPs) in the business world.

๐Ÿš€ Key Features

  • Unstructured Data Ingestion: Custom parser using pdfplumber to extract data from legacy PDF tables (2004-2015).
  • Hebrew Text Normalization: algorithmic logic to fix visual text reversal common in PDF extraction of RTL (Right-to-Left) languages.
  • 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).
  • Rate Limit Handling: Dynamic error handling for OpenAI 429 errors, implementing automatic backoff strategies to process thousands of records without user intervention.
  • Dual-Agent Verification:
    • Researcher Agent: Performs deep web searches using Serper (Google API) to find LinkedIn profiles.
    • Analyst Agent: Applies strict logic to filter out students/juniors and identify decision-makers.

๐Ÿ› ๏ธ Tech Stack

  • Core: Python 3.11+, Pandas
  • AI Orchestration: CrewAI (Multi-Agent Systems)
  • LLM: OpenAI GPT-4o-mini (Optimized for cost/performance balance)
  • Data Extraction: PDFPlumber, Custom RegEx
  • Search Intelligence: Serper API (Google Search Wrapper)
  • DevOps: Docker, Python-Dotenv

โš™๏ธ Architecture & Workflow

  1. Data Extraction (extract_hebrew_names.py):

    • Parses raw PDFs.
    • Reverses Hebrew strings (e.g., converts ืŸื”ื› ื™ื‘ื to ืื‘ื™ ื›ื”ืŸ).
    • Cleans and dedupes data into all_swimmers_cleaned.csv.

  2. Agent Orchestration (main.py):

    • Loads the dataset and checks the processed log to skip completed records.
    • Initializes a fresh CrewAI instance for each swimmer to prevent context leakage.
    • Agent 1 (Researcher): Searches for "[Name] Israel LinkedIn" and verifies athletic background.
    • Agent 2 (Analyst): Analyzes job titles against "Key Position" heuristics (e.g., Is "VP of R&D" a key role? -> Yes).

  3. Output:

    • Data is streamed to swimmers_report_FINAL_RUN.csv in real-time.

๐Ÿš€ Installation (Local)

  1. Clone the repository:

    git clone [https://github.com/YourUsername/swimmer-agents.git](https://github.com/YourUsername/swimmer-agents.git)
cd swimmer-agents

  2. Set up the environment:

    python -m venv venv
source venv/bin/activate  # On Windows: venv\Scripts\activate
pip install -r requirements.txt

  3. Configure API Keys: Create a .env file in the root directory:

    OPENAI_API_KEY=sk-your-key-here
SERPER_API_KEY=your-serper-key-here

  4. Run the Pipeline:

    python main.py

๐Ÿณ Docker Support

Run the entire system in an isolated container.

  1. Build the image:

    docker build -t swimmer-agent .

  2. Run the container:

    docker run --env-file .env -v $(pwd)/data:/app/data swimmer-agent

๐Ÿ“„ License

Distributed under the MIT License. See LICENSE for more information.

Contract & API

Machine endpoints, protocol fit, contract coverage, invocation examples, and guardrails for agent-to-agent use.

MissingGITHUB OPENCLEW

Endpoints

Dossier APISnapshot APIContract APITrust API

Contract coverage

Status

missing

Auth

None

Streaming

No

Data region

Unspecified

Protocol support

OpenClaw: self-declared

Requires: none

Forbidden: none

Guardrails

Operational confidence: low

No positive guardrails captured.
Invocation examples
curl -s "https://xpersona.co/api/v1/agents/crewai-mlaitarovsky-swimmer-agents/snapshot"
curl -s "https://xpersona.co/api/v1/agents/crewai-mlaitarovsky-swimmer-agents/contract"
curl -s "https://xpersona.co/api/v1/agents/crewai-mlaitarovsky-swimmer-agents/trust"

Reliability & Benchmarks

Trust and runtime signals, benchmark suites, failure patterns, and practical risk constraints.

Missingruntime-metrics

Trust signals

Handshake

UNKNOWN

Confidence

unknown

Attempts 30d

unknown

Fallback rate

unknown

Runtime metrics

Observed P50

unknown

Observed P95

unknown

Rate limit

unknown

Estimated cost

unknown

Do not use if

Contract metadata is missing or unavailable for deterministic execution.
No benchmark suites or observed failure patterns are available.

Media & Demo

Every public screenshot, visual asset, demo link, and owner-provided destination tied to this agent.

Missingno-media
No screenshots, media assets, or demo links are available.

Related Agents

Neighboring agents from the same protocol and source ecosystem for comparison and shortlist building.

Self-declaredprotocol-neighbors
GITHUB_REPOSactivepieces

Rank

70

AI Agents & MCPs & AI Workflow Automation โ€ข (~400 MCP servers for AI agents) โ€ข AI Automation / AI Agent with MCPs โ€ข AI Workflows & AI Agents โ€ข MCPs for AI Agents

Traction

No public download signal

Freshness

Updated 2d ago

OPENCLAW
GITHUB_REPOScherry-studio

Rank

70

AI productivity studio with smart chat, autonomous agents, and 300+ assistants. Unified access to frontier LLMs

Traction

No public download signal

Freshness

Updated 5d ago

MCPOPENCLAW
GITHUB_REPOSAionUi

Rank

70

Free, local, open-source 24/7 Cowork app and OpenClaw for Gemini CLI, Claude Code, Codex, OpenCode, Qwen Code, Goose CLI, Auggie, and more | ๐ŸŒŸ Star if you like it!

Traction

No public download signal

Freshness

Updated 6d ago

MCPOPENCLAW
GITHUB_REPOSCopilotKit

Rank

70

The Frontend for Agents & Generative UI. React + Angular

Traction

No public download signal

Freshness

Updated 23d ago

OPENCLAW
Agent hubMore from this sourceOpenClaw agents
Machine Appendix

Contract JSON

{
  "contractStatus": "missing",
  "authModes": [],
  "requires": [],
  "forbidden": [],
  "supportsMcp": false,
  "supportsA2a": false,
  "supportsStreaming": false,
  "inputSchemaRef": null,
  "outputSchemaRef": null,
  "dataRegion": null,
  "contractUpdatedAt": null,
  "sourceUpdatedAt": null,
  "freshnessSeconds": null
}

Invocation Guide

{
  "preferredApi": {
    "snapshotUrl": "https://xpersona.co/api/v1/agents/crewai-mlaitarovsky-swimmer-agents/snapshot",
    "contractUrl": "https://xpersona.co/api/v1/agents/crewai-mlaitarovsky-swimmer-agents/contract",
    "trustUrl": "https://xpersona.co/api/v1/agents/crewai-mlaitarovsky-swimmer-agents/trust"
  },
  "curlExamples": [
    "curl -s \"https://xpersona.co/api/v1/agents/crewai-mlaitarovsky-swimmer-agents/snapshot\"",
    "curl -s \"https://xpersona.co/api/v1/agents/crewai-mlaitarovsky-swimmer-agents/contract\"",
    "curl -s \"https://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_OPENCLEW",
      "generatedAt": "2026-04-16T23:46:28.666Z"
    }
  },
  "retryPolicy": {
    "maxAttempts": 3,
    "backoffMs": [
      500,
      1500,
      3500
    ],
    "retryableConditions": [
      "HTTP_429",
      "HTTP_503",
      "NETWORK_TIMEOUT"
    ]
  }
}

Trust JSON

{
  "status": "unavailable",
  "handshakeStatus": "UNKNOWN",
  "verificationFreshnessHours": null,
  "reputationScore": null,
  "p95LatencyMs": null,
  "successRate30d": null,
  "fallbackRate": null,
  "attempts30d": null,
  "trustUpdatedAt": null,
  "trustConfidence": "unknown",
  "sourceUpdatedAt": null,
  "freshnessSeconds": null
}

Capability Matrix

{
  "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"
}

Facts JSON

[
  {
    "factKey": "vendor",
    "category": "vendor",
    "label": "Vendor",
    "value": "Mlaitarovsky",
    "href": "https://github.com/MLaitarovsky/swimmer-agents",
    "sourceUrl": "https://github.com/MLaitarovsky/swimmer-agents",
    "sourceType": "profile",
    "confidence": "medium",
    "observedAt": "2026-04-15T06:04:49.328Z",
    "isPublic": true
  },
  {
    "factKey": "protocols",
    "category": "compatibility",
    "label": "Protocol compatibility",
    "value": "OpenClaw",
    "href": "https://xpersona.co/api/v1/agents/crewai-mlaitarovsky-swimmer-agents/contract",
    "sourceUrl": "https://xpersona.co/api/v1/agents/crewai-mlaitarovsky-swimmer-agents/contract",
    "sourceType": "contract",
    "confidence": "medium",
    "observedAt": "2026-04-15T06:04:49.328Z",
    "isPublic": true
  },
  {
    "factKey": "docs_crawl",
    "category": "integration",
    "label": "Crawlable docs",
    "value": "6 indexed pages on the official domain",
    "href": "https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar",
    "sourceUrl": "https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar",
    "sourceType": "search_document",
    "confidence": "medium",
    "observedAt": "2026-04-15T05:03:46.393Z",
    "isPublic": true
  },
  {
    "factKey": "handshake_status",
    "category": "security",
    "label": "Handshake status",
    "value": "UNKNOWN",
    "href": "https://xpersona.co/api/v1/agents/crewai-mlaitarovsky-swimmer-agents/trust",
    "sourceUrl": "https://xpersona.co/api/v1/agents/crewai-mlaitarovsky-swimmer-agents/trust",
    "sourceType": "trust",
    "confidence": "medium",
    "observedAt": null,
    "isPublic": true
  }
]

Change Events JSON

[
  {
    "eventType": "docs_update",
    "title": "Docs refreshed: Sign in to GitHub ยท GitHub",
    "description": "Fresh crawlable documentation was indexed for the official domain.",
    "href": "https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar",
    "sourceUrl": "https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar",
    "sourceType": "search_document",
    "confidence": "medium",
    "observedAt": "2026-04-15T05:03:46.393Z",
    "isPublic": true
  }
]

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