Rank
70
AI Agents & MCPs & AI Workflow Automation โข (~400 MCP servers for AI agents) โข AI Automation / AI Agent with MCPs โข AI Workflows & AI Agents โข MCPs for AI Agents
Traction
No public download signal
Freshness
Updated 2d ago
Xpersona Agent
Web (re)earch using Tavily APIs. Search the web, extract content from URLs, discover site maps, or get AI-synthesized research reports with citations. Use for factual search, current events, financial data, full content extraction, site map URLs, or comprehensive research reports. Topics: general, news, finance. --- name: tavily-search-and-fetch description: "Web (re)earch using Tavily APIs. Search the web, extract content from URLs, discover site maps, or get AI-synthesized research reports with citations. Use for factual search, current events, financial data, full content extraction, site map URLs, or comprehensive research reports. Topics: general, news, finance." metadata: { "openclaw": { "emoji": "๐", "requires": { "b
git clone https://github.com/rioiart/tavily-skill.gitOverall rank
#30
Adoption
No public adoption signal
Trust
Unknown
Freshness
Apr 15, 2026
Freshness
Last checked Apr 15, 2026
Best For
tavily-search-and-fetch is best for general automation 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
Key links, install path, reliability highlights, and the shortest practical read before diving into the crawl record.
Overview
Web (re)earch using Tavily APIs. Search the web, extract content from URLs, discover site maps, or get AI-synthesized research reports with citations. Use for factual search, current events, financial data, full content extraction, site map URLs, or comprehensive research reports. Topics: general, news, finance. --- name: tavily-search-and-fetch description: "Web (re)earch using Tavily APIs. Search the web, extract content from URLs, discover site maps, or get AI-synthesized research reports with citations. Use for factual search, current events, financial data, full content extraction, site map URLs, or comprehensive research reports. Topics: general, news, finance." metadata: { "openclaw": { "emoji": "๐", "requires": { "b Capability contract not published. No trust telemetry is available yet. Last updated 4/15/2026.
Trust score
Unknown
Compatibility
OpenClaw
Freshness
Apr 15, 2026
Vendor
Rioiart
Artifacts
0
Benchmarks
0
Last release
Unpublished
Install & run
git clone https://github.com/rioiart/tavily-skill.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.
Public facts grouped by evidence type, plus release and crawl events with provenance and freshness.
Public facts
Vendor
Rioiart
Protocol compatibility
OpenClaw
Handshake status
UNKNOWN
Crawlable docs
6 indexed pages on the official domain
Parameters, dependencies, examples, extracted files, editorial overview, and the complete README when available.
Captured outputs
Extracted files
0
Examples
6
Snippets
0
Languages
typescript
Parameters
bash
scripts/tavily_search.sh "What is retrieval augmented generation?" --include-answer
bash
scripts/tavily_search.sh "AI regulation updates" --topic news --time-range week
bash
scripts/tavily_extract.sh https://example.com/article1 https://example.com/article2
bash
scripts/tavily_sitemap.sh https://docs.example.com --max-depth 2 --limit 100
bash
scripts/tavily_research.sh "Compare LangGraph vs CrewAI for multi-agent systems" --model pro
bash
# Only search specific sites scripts/tavily_search.sh "async python" --include-domains docs.python.org,realpython.com # Exclude unreliable sources scripts/tavily_search.sh "health advice" --exclude-domains reddit.com,quora.com
Editorial read
Docs source
GITHUB OPENCLEW
Editorial quality
ready
Web (re)earch using Tavily APIs. Search the web, extract content from URLs, discover site maps, or get AI-synthesized research reports with citations. Use for factual search, current events, financial data, full content extraction, site map URLs, or comprehensive research reports. Topics: general, news, finance. --- name: tavily-search-and-fetch description: "Web (re)earch using Tavily APIs. Search the web, extract content from URLs, discover site maps, or get AI-synthesized research reports with citations. Use for factual search, current events, financial data, full content extraction, site map URLs, or comprehensive research reports. Topics: general, news, finance." metadata: { "openclaw": { "emoji": "๐", "requires": { "b
Web research via Tavily's LLM-optimized APIs: search, extract, sitemap, and research.
Requires TAVILY_API_KEY environment variable. Get a free key (1000 credits/month) at https://app.tavily.com
| Need | Script |
|------|--------|
| Web search results | tavily_search.sh |
| Content from specific URLs | tavily_extract.sh |
| Discover URLs on a site (fast) | tavily_sitemap.sh |
| AI-synthesized report with citations | tavily_research.sh |
scripts/tavily_search.sh "What is retrieval augmented generation?" --include-answer
scripts/tavily_search.sh "AI regulation updates" --topic news --time-range week
scripts/tavily_extract.sh https://example.com/article1 https://example.com/article2
scripts/tavily_sitemap.sh https://docs.example.com --max-depth 2 --limit 100
scripts/tavily_research.sh "Compare LangGraph vs CrewAI for multi-agent systems" --model pro
tavily_search.shStandard web search. Returns titles, URLs, snippets, and optional AI answer.
Key options:
--depth ultra-fast|fast|basic|advanced โ Trade speed for relevance--topic general|news|finance โ Optimize for content type--include-answer โ Get AI-generated summary--include-raw-content โ Get full page content--time-range day|week|month|year โ Filter by recency--chunks-per-source N โ Chunks per source (1-5, advanced/fast)--include-domains / --exclude-domains โ Filter sourcestavily_extract.shExtract full content from specific URLs (up to 20 at once).
Key options:
--depth basic|advanced โ Use advanced for JS-heavy pages--query TEXT โ Rerank chunks by relevance--chunks-per-source N โ Return only relevant chunks (1-5, requires --query)--format markdown|text โ Output formattavily_sitemap.shDiscover URLs on a website without extracting content. Faster than crawl โ use to understand site structure first.
Key options:
--max-depth N โ Crawl depth 1-5 (start with 1)--limit N โ Total URLs cap (default: 50)--instructions TEXT โ Focus on specific types of pagestavily_research.shAI-synthesized research with citations. Takes 30-120 seconds.
Key options:
--model mini|pro|auto โ mini for focused queries, pro for comprehensive analysis--citation-format numbered|mla|apa|chicago--output-schema JSON โ Get structured JSON output--output-file PATH โ Save results to file| Task | Recommended Approach | Credits |
|------|---------------------|---------|
| Quick fact check | tavily_search.sh --include-answer | 1 |
| Deeper search | tavily_search.sh --depth advanced | 2 |
| Full article content | tavily_extract.sh <urls> | 1 per 5 URLs |
| Discover site URLs | tavily_sitemap.sh | 1 |
| AI research report | tavily_research.sh | varies |
# Only search specific sites
scripts/tavily_search.sh "async python" --include-domains docs.python.org,realpython.com
# Exclude unreliable sources
scripts/tavily_search.sh "health advice" --exclude-domains reddit.com,quora.com
See references/api_reference.md for full parameter documentation.
Machine endpoints, contract coverage, trust signals, runtime metrics, benchmarks, and guardrails for agent-to-agent use.
Machine interfaces
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/rioiart-tavily-skill/snapshot"
curl -s "https://xpersona.co/api/v1/agents/rioiart-tavily-skill/contract"
curl -s "https://xpersona.co/api/v1/agents/rioiart-tavily-skill/trust"
Operational fit
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
Raw contract, invocation, trust, capability, facts, and change-event payloads for machine-side inspection.
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/rioiart-tavily-skill/snapshot",
"contractUrl": "https://xpersona.co/api/v1/agents/rioiart-tavily-skill/contract",
"trustUrl": "https://xpersona.co/api/v1/agents/rioiart-tavily-skill/trust"
},
"curlExamples": [
"curl -s \"https://xpersona.co/api/v1/agents/rioiart-tavily-skill/snapshot\"",
"curl -s \"https://xpersona.co/api/v1/agents/rioiart-tavily-skill/contract\"",
"curl -s \"https://xpersona.co/api/v1/agents/rioiart-tavily-skill/trust\""
],
"jsonRequestTemplate": {
"query": "summarize this repo",
"constraints": {
"maxLatencyMs": 2000,
"protocolPreference": [
"OPENCLEW"
]
}
},
"jsonResponseTemplate": {
"ok": true,
"result": {
"summary": "...",
"confidence": 0.9
},
"meta": {
"source": "GITHUB_OPENCLEW",
"generatedAt": "2026-04-17T04:47:57.215Z"
}
},
"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"
}
],
"flattenedTokens": "protocol:OPENCLEW|unknown|profile"
}Facts JSON
[
{
"factKey": "vendor",
"category": "vendor",
"label": "Vendor",
"value": "Rioiart",
"href": "https://github.com/rioiart/tavily-skill",
"sourceUrl": "https://github.com/rioiart/tavily-skill",
"sourceType": "profile",
"confidence": "medium",
"observedAt": "2026-04-15T05:21:22.124Z",
"isPublic": true
},
{
"factKey": "protocols",
"category": "compatibility",
"label": "Protocol compatibility",
"value": "OpenClaw",
"href": "https://xpersona.co/api/v1/agents/rioiart-tavily-skill/contract",
"sourceUrl": "https://xpersona.co/api/v1/agents/rioiart-tavily-skill/contract",
"sourceType": "contract",
"confidence": "medium",
"observedAt": "2026-04-15T05:21:22.124Z",
"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/rioiart-tavily-skill/trust",
"sourceUrl": "https://xpersona.co/api/v1/agents/rioiart-tavily-skill/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
}
]Sponsored
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