Crawler Summary
autonomous agent framework built to detect and mitigate training data poisoning in LLM development. Inspired by the scientific method, the system uses a modular suite of AI agents—hypothesis generators, script builders, critics, and testers—to audit data for adversarial patterns. to improve llm data input. utilizing a crewai framework and eletron 🧪Antidote Intelligence 3rd Place Winner — Masumi 2025 Hackathon @ Silverside AI An autonomous agent framework for detecting poisoned data in LLM training pipelines, powered by Masumi’s crypto-enabled protocols. Overview Antidote Intelligence is our answer to one of the most pressing issues in AI development: training data poisoning. As AI systems become more dependent on vast, crowdsourced datasets, they also become Capability contract not published. No trust telemetry is available yet. 3 GitHub stars reported by the source. Last updated 4/16/2026.
Freshness
Last checked 4/16/2026
Best For
Antidote_Intelligence 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
autonomous agent framework built to detect and mitigate training data poisoning in LLM development. Inspired by the scientific method, the system uses a modular suite of AI agents—hypothesis generators, script builders, critics, and testers—to audit data for adversarial patterns. to improve llm data input. utilizing a crewai framework and eletron 🧪Antidote Intelligence 3rd Place Winner — Masumi 2025 Hackathon @ Silverside AI An autonomous agent framework for detecting poisoned data in LLM training pipelines, powered by Masumi’s crypto-enabled protocols. Overview Antidote Intelligence is our answer to one of the most pressing issues in AI development: training data poisoning. As AI systems become more dependent on vast, crowdsourced datasets, they also become
Public facts
5
Change events
1
Artifacts
0
Freshness
Apr 16, 2026
Capability contract not published. No trust telemetry is available yet. 3 GitHub stars reported by the source. Last updated 4/16/2026.
Trust score
Unknown
Compatibility
OpenClaw
Freshness
Apr 16, 2026
Vendor
Bakedsoups
Artifacts
0
Benchmarks
0
Last release
Unpublished
Key links, install path, and a quick operational read before the deeper crawl record.
Summary
Capability contract not published. No trust telemetry is available yet. 3 GitHub stars reported by the source. Last updated 4/16/2026.
Setup snapshot
git clone https://github.com/BakedSoups/Antidote_Intelligence.gitSetup 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.
Everything public we have scraped or crawled about this agent, grouped by evidence type with provenance.
Vendor
Bakedsoups
Protocol compatibility
OpenClaw
Adoption signal
3 GitHub stars
Handshake status
UNKNOWN
Crawlable docs
6 indexed pages on the official domain
Merged public release, docs, artifact, benchmark, pricing, and trust refresh events.
Extracted files, examples, snippets, parameters, dependencies, permissions, and artifact metadata.
Extracted files
0
Examples
0
Snippets
0
Languages
python
Full documentation captured from public sources, including the complete README when available.
Docs source
GITHUB OPENCLEW
Editorial quality
ready
autonomous agent framework built to detect and mitigate training data poisoning in LLM development. Inspired by the scientific method, the system uses a modular suite of AI agents—hypothesis generators, script builders, critics, and testers—to audit data for adversarial patterns. to improve llm data input. utilizing a crewai framework and eletron 🧪Antidote Intelligence 3rd Place Winner — Masumi 2025 Hackathon @ Silverside AI An autonomous agent framework for detecting poisoned data in LLM training pipelines, powered by Masumi’s crypto-enabled protocols. Overview Antidote Intelligence is our answer to one of the most pressing issues in AI development: training data poisoning. As AI systems become more dependent on vast, crowdsourced datasets, they also become
3rd Place Winner — Masumi 2025 Hackathon @ Silverside AI
An autonomous agent framework for detecting poisoned data in LLM training pipelines, powered by Masumi’s crypto-enabled protocols.
Antidote Intelligence is our answer to one of the most pressing issues in AI development: training data poisoning. As AI systems become more dependent on vast, crowdsourced datasets, they also become more vulnerable to adversarial injections and subtle corruption tactics.
Antidote Intelligence mimics the scientific method by using autonomous agents to hypothesize, test, and filter potential instances of corrupted data. Designed for modularity and extensibility, this system leverages Masumi’s decentralized agent protocol to coordinate tasks, incentivize contributions, and ensure robust pipeline execution with crypto-native security.
The core of Antidote Intelligence is a suite of intelligent agents working together in a structured cycle:
From a small sample of training data, this agent proposes potential patterns that may indicate data poisoning. Example hypothesis: “Even-numbered files show abnormal embedding divergence.”
Based on the hypothesis, it auto-generates Python scripts designed to test or isolate suspected data patterns.
The Criticizer evaluates the generated scripts for logical flaws or inefficiencies. The Filter Executor then applies valid scripts to the broader dataset, flagging or removing suspect data.
Constructs diverse, randomized subsets of the data to ensure each hypothesis is tested across representative samples.
Scores how effective each hypothesis was at identifying corrupted data. Metrics include precision, recall, and confidence intervals. ###🧑🔬 Lab Manager
Coordinates the entire experimental cycle, enforcing reproducibility and methodological consistency. Ensures hypotheses are tested and validated systematically. Masumi Integration
Antidote Intelligence is built natively on Masumi’s agent protocol, which allows:
🔐 Trustless agent coordination
💰 Incentivization via crypto transactions
🔄 Decentralized task execution & rewards
📡 Inter-agent communication secured on-chain
This allows agents to be deployed in decentralized environments or collaborative ecosystems where each contributor (human or machine) is rewarded for improving the model’s safety.
Machine endpoints, protocol fit, contract coverage, invocation examples, and guardrails for agent-to-agent use.
Contract coverage
Status
missing
Auth
None
Streaming
No
Data region
Unspecified
Protocol support
Requires: none
Forbidden: none
Guardrails
Operational confidence: low
curl -s "https://xpersona.co/api/v1/agents/crewai-bakedsoups-antidote-intelligence/snapshot"
curl -s "https://xpersona.co/api/v1/agents/crewai-bakedsoups-antidote-intelligence/contract"
curl -s "https://xpersona.co/api/v1/agents/crewai-bakedsoups-antidote-intelligence/trust"
Trust and runtime signals, benchmark suites, failure patterns, and practical risk constraints.
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
Every public screenshot, visual asset, demo link, and owner-provided destination tied to this agent.
Neighboring agents from the same protocol and source ecosystem for comparison and shortlist building.
Rank
70
AI Agents & MCPs & AI Workflow Automation • (~400 MCP servers for AI agents) • AI Automation / AI Agent with MCPs • AI Workflows & AI Agents • MCPs for AI Agents
Traction
No public download signal
Freshness
Updated 2d ago
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
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 | 🌟 Star if you like it!
Traction
No public download signal
Freshness
Updated 6d ago
Rank
70
The Frontend for Agents & Generative UI. React + Angular
Traction
No public download signal
Freshness
Updated 23d ago
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-bakedsoups-antidote-intelligence/snapshot",
"contractUrl": "https://xpersona.co/api/v1/agents/crewai-bakedsoups-antidote-intelligence/contract",
"trustUrl": "https://xpersona.co/api/v1/agents/crewai-bakedsoups-antidote-intelligence/trust"
},
"curlExamples": [
"curl -s \"https://xpersona.co/api/v1/agents/crewai-bakedsoups-antidote-intelligence/snapshot\"",
"curl -s \"https://xpersona.co/api/v1/agents/crewai-bakedsoups-antidote-intelligence/contract\"",
"curl -s \"https://xpersona.co/api/v1/agents/crewai-bakedsoups-antidote-intelligence/trust\""
],
"jsonRequestTemplate": {
"query": "summarize this repo",
"constraints": {
"maxLatencyMs": 2000,
"protocolPreference": [
"OPENCLEW"
]
}
},
"jsonResponseTemplate": {
"ok": true,
"result": {
"summary": "...",
"confidence": 0.9
},
"meta": {
"source": "GITHUB_OPENCLEW",
"generatedAt": "2026-04-16T23:45:46.268Z"
}
},
"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": "Bakedsoups",
"category": "vendor",
"href": "https://github.com/BakedSoups/Antidote_Intelligence",
"sourceUrl": "https://github.com/BakedSoups/Antidote_Intelligence",
"sourceType": "profile",
"confidence": "medium",
"observedAt": "2026-04-16T06:46:55.698Z",
"isPublic": true,
"metadata": {}
},
{
"factKey": "protocols",
"label": "Protocol compatibility",
"value": "OpenClaw",
"category": "compatibility",
"href": "https://xpersona.co/api/v1/agents/crewai-bakedsoups-antidote-intelligence/contract",
"sourceUrl": "https://xpersona.co/api/v1/agents/crewai-bakedsoups-antidote-intelligence/contract",
"sourceType": "contract",
"confidence": "medium",
"observedAt": "2026-04-16T06:46:55.698Z",
"isPublic": true,
"metadata": {}
},
{
"factKey": "traction",
"label": "Adoption signal",
"value": "3 GitHub stars",
"category": "adoption",
"href": "https://github.com/BakedSoups/Antidote_Intelligence",
"sourceUrl": "https://github.com/BakedSoups/Antidote_Intelligence",
"sourceType": "profile",
"confidence": "medium",
"observedAt": "2026-04-16T06:46:55.698Z",
"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://xpersona.co/api/v1/agents/crewai-bakedsoups-antidote-intelligence/trust",
"sourceUrl": "https://xpersona.co/api/v1/agents/crewai-bakedsoups-antidote-intelligence/trust",
"sourceType": "trust",
"confidence": "medium",
"observedAt": null,
"isPublic": true,
"metadata": {}
}
]Change Events JSON
[
{
"eventType": "docs_update",
"title": "Docs refreshed: Sign in to GitHub · 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": {}
}
]Sponsored
Ads related to Antidote_Intelligence and adjacent AI workflows.