Crawler Summary

socialbytes-ai answer-first brief

Automated media intelligence platform using multi-vector sentiment analysis and CrewAI to orchestrate agentic research teams. Transforms web content into actionable briefs. Built with FastAPI, CrewAI, React, Docker, and Exa Neural Search. SocialBytes Intelligence Agency πŸš€ *Powered by crewai orchestrating an agentic AI team or research agents* **Automated media intelligence for the post-truth era.** SocialBytes is an agentic AI workspace that autonomously researches, analyzes, and reformats complex web content into actionable intelligence briefs. By leveraging multi-vector sentiment analysis and semantic drift checks, it helps agencies and analysts se Capability contract not published. No trust telemetry is available yet. Last updated 5/13/2026.

Freshness

Last checked 5/13/2026

Best For

socialbytes-ai 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

Agent DossierGitHubSafety: 66/100

socialbytes-ai

Automated media intelligence platform using multi-vector sentiment analysis and CrewAI to orchestrate agentic research teams. Transforms web content into actionable briefs. Built with FastAPI, CrewAI, React, Docker, and Exa Neural Search. SocialBytes Intelligence Agency πŸš€ *Powered by crewai orchestrating an agentic AI team or research agents* **Automated media intelligence for the post-truth era.** SocialBytes is an agentic AI workspace that autonomously researches, analyzes, and reformats complex web content into actionable intelligence briefs. By leveraging multi-vector sentiment analysis and semantic drift checks, it helps agencies and analysts se

OpenClawself-declared

Public facts

4

Change events

1

Artifacts

0

Freshness

May 13, 2026

Verifiededitorial-contentNo verified compatibility signals

Capability contract not published. No trust telemetry is available yet. Last updated 5/13/2026.

Trust evidence available

Trust score

Unknown

Compatibility

OpenClaw

Freshness

May 13, 2026

Vendor

Jorgenyc

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Unpublished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 5/13/2026.

Setup snapshot

git clone https://github.com/jorgenyc/socialbytes-ai.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

Jorgenyc

profilemedium
Observed May 13, 2026Source linkProvenance
Compatibility (1)

Protocol compatibility

OpenClaw

contractmedium
Observed May 13, 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

Artifacts Archive

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

Self-declaredGITHUB OPENCLEW

Extracted files

0

Examples

1

Snippets

0

Languages

python

Executable Examples

text

2.  **Install Dependencies**
    *   **Backend:** `cd api-engine && pip install -r requirements.txt`
    *   **Frontend:** `cd web-dashboard && npm install`

3.  **Set Environment Variables**
    Create a `.env` file in the root:

Docs & README

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

Self-declaredGITHUB OPENCLEW

Docs source

GITHUB OPENCLEW

Editorial quality

ready

Automated media intelligence platform using multi-vector sentiment analysis and CrewAI to orchestrate agentic research teams. Transforms web content into actionable briefs. Built with FastAPI, CrewAI, React, Docker, and Exa Neural Search. SocialBytes Intelligence Agency πŸš€ *Powered by crewai orchestrating an agentic AI team or research agents* **Automated media intelligence for the post-truth era.** SocialBytes is an agentic AI workspace that autonomously researches, analyzes, and reformats complex web content into actionable intelligence briefs. By leveraging multi-vector sentiment analysis and semantic drift checks, it helps agencies and analysts se

Full README

SocialBytes Intelligence Agency πŸš€

Powered by crewai orchestrating an agentic AI team or research agents

Automated media intelligence for the post-truth era.
SocialBytes is an agentic AI workspace that autonomously researches, analyzes, and reformats complex web content into actionable intelligence briefs. By leveraging multi-vector sentiment analysis and semantic drift checks, it helps agencies and analysts see through the noise.


πŸ— System Architecture

The SocialBytes Engine uses a hybrid architecture, combining a 2-Agent AI Crew with deterministic system processors:

Phase 1: The Crew (Agentic AI)

Powered by crewai & GPT-4o

  1. The Inquisitor (Research Agent): Performs neural searches (Exa) to find related articles, critiques, and "hidden facts" that the primary source omits. It maps the Narrative Horizon by identifying aligned vs. counter-narrative sources.
  2. The Stylist (Persona Agent): Transforms dry research data into high-converting social content (LinkedIn, X, Instagram). It dynamically switches personas (Advocate vs. Contrarian) based on the user's strategic intent.

Phase 2: The Infrastructure (System Agents)

Deterministic Algorithms & Proxies

  1. The Curator (Media Proxy): A custom asset manager that scrapes, dedupes, and bundles high-resolution media assets into a secure gallery, bypassing hotlink protections.
  2. The Publisher (Export Engine): A rendering engine that generates enterprise-grade PDF briefs with automated APA-lite citations and comparative sentiment tables.

All components communicate via a shared Task Context Chain, ensuring that insights found by the AI agents are structurally preserved for the export engines.


⚑ The Tech Stack

Frontend (Chrome Extension & Web Dashboard)

  • React + Vite: Ultra-fast rendering with optimized state management.
  • Tailwind CSS: Custom "Deep Indigo / Tech-Orange" theme for a premium, futuristic verified aesthetic.
  • Lucide Icons: Consistent, lightweight visual language.
  • Chrome Manifest V3: Deep-link auto-pilot allows users to trigger research directly from their browser toolbar.

Backend (Intelligence Engine)

  • Python (FastAPI): High-performance async API server.
  • CrewAI: Multi-agent orchestration framework.
  • Neural Search (Exa/OpenAI): Semantic search capabilities to find thematically similar content rather than just keyword matches.
  • JSZip & Blob Proxy: Client-side bundling of media assets to ensure 403-safe downloads without server-side storage.

Platform Infrastructure

  • Docker: Containerized service mesh for Engine and Dashboard.
  • Browser Security: Implemented CORS proxies and Blob-URL manufacturing to bypass scraping protections securely.

🌟 Core Functionalities

1. Multi-Vector Sentiment Analysis

Unlike simple positive/negative classifiers, SocialBytes maps content against a Narrative Horizon. It identifies:

  • Perspective Gap: The divergence between the article's claims and the broader market consensus.
  • Counter-Narratives: Automatically flags sources that dispute the primary article's premises (marked with Orange badges).

2. Media Intelligence Gallery

  • Secure Deduplication: Uses a Set-based filter on image URLs to purge redundant thumbnails.
  • High-Res Recovery: Fetches full-resolution assets via a proxy to bypass hotlinking protection.
  • Bulk Export: JSZip integration allows one-click downloading of entire media kits.

3. Enterprise PDF Export

  • Automated Citations: Generates an APA-lite reference list for every claim.
  • Comparative Tables: Injects a structured analysis table (Source vs. Sentiment vs. Confidence) directly into the PDF.
  • Print-Audit Safe: Using a hidden "Ghost Window" strategy, PDFs are rendered with zero UI artifacts (buttons, inputs) and perfectly paged layouts.

πŸ§ͺ Test Validation & Assurance

We rely on a suite of validation scripts to ensure intelligence accuracy:

Script A: validate-api-latency.js

  • Purpose: Measures the time-to-insight for the Research Crew.
  • Metric: Ensures the "Deep Research" phase completes within the 45s SLA threshold.

Script B: check-data-integrity.py

  • Purpose: Semantic Drift Check.
  • Method: Compares the cosine similarity of the generated brief against the source text to ensure the AI hasn't hallucinated facts.

Script C: media-dedup-test.sh

  • Purpose: Asset Integrity.
  • Method: Simulates a scrape of a media-heavy page and verifies that the final ZIP bundle contains only unique file hashes.

πŸ—Ί Future Roadmap

  • Semantic Caching (Redis): To reduce API costs and latency for frequently researched topics.
  • Agency Expansion:
    • FinTech: "Due Diligence" Agent for analyzing earnings reports.
    • HealthTech: "MedVantage" Agent for parsing clinical trials.
  • Deep-Link Sharing: Generate shareable, read-only links to research briefs for team collaboration.

🧠 Just-in-Time RAG Architecture

SocialBytes eschews traditional vector databases for a Stateless Neural Retrieval model suitable for breaking news.

  • The Problem: Traditional RAG (Retrieval-Augmented Generation) relies on pre-indexed benchmarks which become stale instantly for news.
  • The Solution: The Inquisitor agent performs Real-Time Retrieval Augmentation.
    1. Query Generation: The LLM decomposes the user's URL into search intent vectors.
    2. Live Extraction: Exa's Neural Search provides live text chunks from the last 24-72 hours.
    3. Context Injection: These chunks are injected into the 'Stylist' agent's context window, eliminating hallucinations and ensuring the brief reflects the current state of the world.

πŸš€ Installation & Quick Start

Get the agency up and running in 4 steps:

  1. Clone the Repository

    ```bash
    git clone https://github.com/5ync/socialbytes-agency.git
    cd socialbytes-agency
    
  2. Install Dependencies

    • Backend: cd api-engine && pip install -r requirements.txt
    • Frontend: cd web-dashboard && npm install
  3. Set Environment Variables Create a .env file in the root:

    OPENAI_API_KEY=sk-...
    EXA_API_KEY=...
    MODEL_NAME=gpt-4o
    
  4. Launch the Suite

    • Docker (Recommended): docker-compose up --build
    • Manual: uvicorn src.main:app --reload (port 8000) and npm run dev (port 5173).

πŸ”§ Troubleshooting & Resiliency

  • Browser Extension:
    • Issue: "ActiveTab" permission not firing.
    • Fix: Ensure the extension is pinned. Reload the extension in chrome://extensions if the Service Worker goes dormant.
  • Media Assets (403 Forbidden):
    • Strategy: SocialBytes uses a Blob Proxy. Instead of hotlinking, the backend fetches the image, converting it to a Base64 stream, which the frontend wraps in a Blob URL. This creates a local, secure reference that bypasses CDN headers.
  • PDF Rendering:
    • Strategy: To avoid cutting off text or including UI buttons, we use a Ghost Window. This invisible iframe renders a print-specific DOM off-screen, waits for all assets to load via Promise.all(), and then triggers the print dialog.

πŸ”’ License

This project is proprietary. Please see the LICENSE file for usage restrictions.


Built with ❀️ by Jorge Barrera
Engineered as a high-fidelity intelligence ecosystem for the 2026 capstone, focusing on agentic orchestration and narrative integrity.

Contract & API

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

MissingGITHUB OPENCLEW

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://www.xpersona.co/api/v1/agents/crewai-jorgenyc-socialbytes-ai/snapshot"
curl -s "https://www.xpersona.co/api/v1/agents/crewai-jorgenyc-socialbytes-ai/contract"
curl -s "https://www.xpersona.co/api/v1/agents/crewai-jorgenyc-socialbytes-ai/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

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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://www.xpersona.co/api/v1/agents/crewai-jorgenyc-socialbytes-ai/snapshot",
    "contractUrl": "https://www.xpersona.co/api/v1/agents/crewai-jorgenyc-socialbytes-ai/contract",
    "trustUrl": "https://www.xpersona.co/api/v1/agents/crewai-jorgenyc-socialbytes-ai/trust"
  },
  "curlExamples": [
    "curl -s \"https://www.xpersona.co/api/v1/agents/crewai-jorgenyc-socialbytes-ai/snapshot\"",
    "curl -s \"https://www.xpersona.co/api/v1/agents/crewai-jorgenyc-socialbytes-ai/contract\"",
    "curl -s \"https://www.xpersona.co/api/v1/agents/crewai-jorgenyc-socialbytes-ai/trust\""
  ],
  "jsonRequestTemplate": {
    "query": "summarize this repo",
    "constraints": {
      "maxLatencyMs": 2000,
      "protocolPreference": [
        "OPENCLEW"
      ]
    }
  },
  "jsonResponseTemplate": {
    "ok": true,
    "result": {
      "summary": "...",
      "confidence": 0.9
    },
    "meta": {
      "source": "GITHUB_OPENCLEW",
      "generatedAt": "2026-10-09T22:29:29.865Z"
    }
  },
  "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",
    "label": "Vendor",
    "value": "Jorgenyc",
    "category": "vendor",
    "href": "https://github.com/jorgenyc/socialbytes-ai",
    "sourceUrl": "https://github.com/jorgenyc/socialbytes-ai",
    "sourceType": "profile",
    "confidence": "medium",
    "observedAt": "2026-05-13T06:46:23.857Z",
    "isPublic": true,
    "metadata": {}
  },
  {
    "factKey": "protocols",
    "label": "Protocol compatibility",
    "value": "OpenClaw",
    "category": "compatibility",
    "href": "https://www.xpersona.co/api/v1/agents/crewai-jorgenyc-socialbytes-ai/contract",
    "sourceUrl": "https://www.xpersona.co/api/v1/agents/crewai-jorgenyc-socialbytes-ai/contract",
    "sourceType": "contract",
    "confidence": "medium",
    "observedAt": "2026-05-13T06:46:23.857Z",
    "isPublic": true,
    "metadata": {}
  },
  {
    "factKey": "docs_crawl",
    "label": "Crawlable docs",
    "value": "6 indexed pages on the official domain",
    "category": "integration",
    "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,
    "metadata": {}
  },
  {
    "factKey": "handshake_status",
    "label": "Handshake status",
    "value": "UNKNOWN",
    "category": "security",
    "href": "https://www.xpersona.co/api/v1/agents/crewai-jorgenyc-socialbytes-ai/trust",
    "sourceUrl": "https://www.xpersona.co/api/v1/agents/crewai-jorgenyc-socialbytes-ai/trust",
    "sourceType": "trust",
    "confidence": "medium",
    "observedAt": null,
    "isPublic": true,
    "metadata": {}
  }
]

Change Events JSON

[
  {
    "eventType": "docs_update",
    "title": "Docs refreshed: Sign in to GitHub Β· 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,
    "metadata": {}
  }
]

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