Agentery pricing intelligence · Provider profile · Levirge Search
Provider profile · independently tracked by Agentery
Levirge Search
Web search and page reading for AI agents. Search the web, open any page or JSON API, read RSS feeds and YouTube transcripts, and get the full text back with a…
Agentery price verdictNo pricing observed
Billing model—
Last observation18 Oct 2026pricing pages rechecked daily
What it does
The specific capability behind this listing, and where to get it.
Web search and page reading for AI agents. Search the web, open any page or JSON API, read RSS feeds and YouTube transcripts, and get the full text back with a source link for every result. **Search** returns ranked results with titles, links and snippets, ready to cite. **Fetch** opens any URL your agent builds — web pages, JSON REST APIs, RSS and Atom feeds — and returns the full content: pages as clean markdown, JSON and XML as the raw, parseable body. Pages that need JavaScript, refuse plain requests or rate-limit are opened in a full browser, and Levirge remembers which sources need it so the next visit is fast. **Keep context small.** - `select`: return only the fields or sections you need - `schema`: discover a response's shape first - `max_bytes`: cap the size **YouTube:** a video link returns the title, channel, description and full timestamped transcript. **Research at scale:** queue up to 200 URLs with `fetch_async` and collect them later with `fetch_results`. Requests
MCPYouTubeMCPautonomy: infrastructure
Official Levirge Search links
Price status · observed daily
No public commercial pricing observed.
No price does not imply the product is free. Any code-host platform pricing is excluded.
Is Levirge Search good value?
Price is straightforward; the useful comparison is capability, compatibility and operational cost.
No price benchmark
No public commercial pricing observed.
Agentery has not observed a public price for this provider. No price does not mean free.
Observed commercial pricenone
NicheWeb Search API
Price benchmarknot applicable
What to compare instead
Check capability before deciding
Compare capability, compatibility and operational cost against comparable providers — Agentery keeps the price status explicit and never invents a verdict.
View the full niche →Levirge Search's local market
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See the MCP response behind this page · get_provider_profile()
See the MCP response behind this pageget_provider_profile (get_agent_profile remains a callable alias)
{
"agent_id": "levirge_search",
"name": "Levirge Search",
"url": "https://levirge.com/search",
"logo": "https://agentery.com/logos/CP-F9AASP.svg",
"niche": "web-search-api",
"category": "developer-tools-infra",
"short_summary": "Web search and page reading for AI agents. Search the web, open any page or JSON API, read RSS feeds and YouTube transcripts, and get the full text back with a…",
"task_performed": "Web search and page reading for AI agents. Search the web, open any page or JSON API, read RSS feeds and YouTube transcripts, and get the full text back with a source link for every result.\n\n**Search** returns ranked results with titles, links and snippets, ready to cite.\n\n**Fetch** opens any URL your agent builds — web pages, JSON REST APIs, RSS and Atom feeds — and returns the full content: pages as clean markdown, JSON and XML as the raw, parseable body. Pages that need JavaScript, refuse plain requests or rate-limit are opened in a full browser, and Levirge remembers which sources need it so the next visit is fast.\n\n**Keep context small.**\n- `select`: return only the fields or sections you need\n- `schema`: discover a response's shape first\n- `max_bytes`: cap the size\n\n**YouTube:** a video link returns the title, channel, description and full timestamped transcript.\n\n**Research at scale:** queue up to 200 URLs with `fetch_async` and collect them later with `fetch_results`. Requests",
"inputs_accepted": [],
"outputs_produced": [],
"integrations_available": [
"MCP",
"YouTube"
],
"protocols_or_interfaces": [
"MCP"
],
"industry_fit": [
"developer tools"
],
"autonomy_level": "infrastructure",
"human_approval_needed": "unclear",
"pricing_model": "unclear",
"price": null,
"trust_or_rating_signal": [],
"evidence_quality": "medium",
"entity_type": "infrastructure",
"regulated_data_suitability": "unclear",
"evidence_urls": [
"https://levirge.com/search"
],
"last_checked": "2026-10-18",
"how_to_connect": {
"website": "https://levirge.com/search",
"docs": null,
"mcp": null,
"a2a": null,
"api": null,
"protocols": [
"MCP"
],
"install": null,
"repository": null,
"note": "Speaks MCP but publishes no endpoint we could verify — check the docs/website."
},
"deployment": {
"model": "unknown",
"both_offered": false,
"hosted_endpoint": null,
"install": null,
"note": "No deployment evidence held — Agentery has no endpoint, install instruction or directory attribute for this listing.",
"evidence": null
},
"licence": {
"name": null,
"note": "No named licence found in the retained page text or source attributes. A public repository alone does not establish an open-source licence.",
"evidence": null
},
"evidence_checks": {
"price": {
"status": "unknown",
"note": "no observed price page text held for this listing"
},
"agent_card": {
"status": "unknown",
"note": "no Agent Card URL recorded for this listing"
},
"endpoint": {
"status": "unknown",
"note": "endpoint not yet checked"
}
},
"product_group": null,
"liveness": {
"probed": false,
"alive": null,
"endpoint_kind": null,
"latency_ms": null,
"uptime_7d": null,
"checked_at": null,
"consecutive_failures": 0,
"status": "unknown"
},
"price_extras": {
"free_tier": null,
"unit_cost": null
},
"reported_success": null,
"feedback": "If you actually use this provider, call report_outcome with the result. Testing Agentery's connection or retrieval is not provider use and is stored unweighted."
}