Getabrain
Give your AI agent access to real human judgment with our Human-in-the-Loop MCP Server. When your agent encounters a question it cannot answer reliably, it se…
What it does
The specific capability behind this listing, and where to get it.
Give your AI agent access to real human judgment with our Human-in-the-Loop MCP Server. When your agent encounters a question it cannot answer reliably, it sends the request to a real pool of humans and receives a structured response back. Ideal for: * Judgment calls and subjective ratings * Real-world and local knowledge * Image and audio review * Quality checks and human verification * Tasks where accuracy matters more than guessing Includes 7 MCP tools, a free sandbox mode for testing, and simple pay-per-answer pricing when you go live. Works with Claude Desktop, Cursor, and any MCP-compatible client.
Official Getabrain links
Pricing & plans
Observed public pricing for Getabrain, benchmarked against comparable providers. Plans, tiers, history and scenario below.
$0.05 /answer
The current price sits below the comparable median.
$0.05 is positioned against a $0–$1 observed middle market.
Why Agentery reaches that view
price_benchmark83.3% below the median.
get_provider_profile · plan historyper answer observed 2026-10-26.
pricing recommendationPercentile unavailable for this basis.
confidenceSource page rechecked daily.
Test a different price for this plan.
Move the proposed monthly price. Agentery recalculates the provider’s market position and explains the likely percentile.
Is Getabrain good value?
How its price compares with genuinely comparable providers.
Below the comparable median for its buyer tier.
Basis: same-tier-tier plans in the niche, any billing unit (1 provider), USD monthly, pricing observed 2026-10-26. The per answer plan ($0.05/mo) sits 83.3% below that median of $0.3. Thin evidence: fewer than five comparable providers, so treat the position as indicative. Other cohorts on this page (niche-wide tier peers, nearest products by capability) are labelled where they appear.
Compared with Human Task Marketplace
Positioned against the observed p25 / median / p75 of comparable providers at the same buyer tier and billing unit (the basis is stated with each verdict above). See the plans above for the percentile and its cohort size, and the full niche market for peers.
View the full niche →Getabrain's local market
Nearest products by what they do — a different cohort from the buyer-tier benchmark above.
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": "getabrain",
"name": "Getabrain",
"url": "https://getabrain.ai",
"logo": "https://agentery.com/logos/CP-EWV57J.svg",
"niche": "human-task-marketplace",
"category": "services",
"short_summary": "Give your AI agent access to real human judgment with our Human-in-the-Loop MCP Server.\n\nWhen your agent encounters a question it cannot answer reliably, it se…",
"task_performed": "Give your AI agent access to real human judgment with our Human-in-the-Loop MCP Server.\n\nWhen your agent encounters a question it cannot answer reliably, it sends the request to a real pool of humans and receives a structured response back.\n\nIdeal for:\n\n* Judgment calls and subjective ratings\n* Real-world and local knowledge\n* Image and audio review\n* Quality checks and human verification\n* Tasks where accuracy matters more than guessing\n\nIncludes 7 MCP tools, a free sandbox mode for testing, and simple pay-per-answer pricing when you go live.\n\nWorks with Claude Desktop, Cursor, and any MCP-compatible client.",
"inputs_accepted": [],
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],
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"general business"
],
"autonomy_level": "infrastructure",
"human_approval_needed": "unclear",
"pricing_model": "unclear",
"price": {
"observed": true,
"billing": "usage",
"source_kind": "vendor",
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"lowest_monthly_usd": null,
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"headline": "$0.05 per response; $0.12 per response (usage-based)",
"commercial": {
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{
"line": "Quick picks",
"per": "per response",
"text": "$0.05 per response"
},
{
"line": "Text, ranking, and image analysis",
"per": "per response",
"text": "$0.12 per response"
},
{
"line": "Long-form text and video capture",
"per": "per response",
"text": "$0.3 per response"
}
],
"currency": "USD",
"lines": [
{
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},
{
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},
{
"name": "Text, ranking, and image analysis",
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{
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{
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"price": "15% added on top of your bid",
"kind": "unknown"
}
]
},
"summary": "$0.05 per response; $0.12 per response (usage-based). GetABrain.ai uses prepaid usage-based pricing, with responses starting at $0.05, a 15% platform fee, and free synthetic test-mode responses.",
"confidence": "high",
"source_url": "https://www.getabrain.ai/docs/quickstart",
"checked_at": "2026-10-26T02:24:53.007Z",
"amount": null,
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"Free test-mode API key"
],
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},
{
"name": "Quick picks",
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"usage": true,
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"highlights": [
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"Minimum bid"
],
"price_annual": null
},
{
"name": "Text, ranking, and image analysis",
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},
{
"name": "Long-form text and video capture",
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"usage": true,
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"persona": "individual",
"highlights": [
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],
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},
{
"name": "Platform fee",
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"usage": true,
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"Prepaid balance model",
"No subscriptions or monthly fees"
],
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}
],
"source": "render+llm"
},
"trust_or_rating_signal": [],
"evidence_quality": "medium",
"entity_type": "infrastructure",
"regulated_data_suitability": "unclear",
"evidence_urls": [
"https://getabrain.ai"
],
"last_checked": "2026-10-26",
"profile_checked": "2026-07-16",
"price_checked": "2026-10-26",
"how_to_connect": {
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"a2a": null,
"api": null,
"protocols": [
"MCP"
],
"install": "npx\",",
"repository": null,
"note": "Speaks MCP but publishes no endpoint we could verify — check the docs/website."
},
"deployment": {
"model": "self_hosted",
"both_offered": false,
"hosted_endpoint": null,
"install": "npx\",",
"note": "You run it yourself: install from the published command/package; no vendor endpoint found.",
"evidence": {
"sources": [
"page_text:install"
],
"excerpt": "aude Desktop / Cursor) Copy { \"mcpServers\": { \"getabrain\": { \"command\": \"npx\", \"args\": [\"-y\", \"@getabrain/mcp-server\"], \"env\": { \"GETABRAI",
"url": "https://www.getabrain.ai/docs/quickstart",
"observed_day": "2026-10-26",
"age_days": 0,
"hosted_evidence": null,
"rule": "deploy-v1"
}
},
"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": {
"source_url": "https://www.getabrain.ai/docs/quickstart",
"last_observed_day": "2026-10-26",
"age_days": 0,
"verified_day": "2026-10-26",
"note": "verified = the page-text gate ran for that scan day (day-before/day-of text check)"
},
"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": true,
"alive": true,
"endpoint_kind": "site",
"latency_ms": 1096,
"uptime_7d": 1,
"checked_at": "2026-10-26T02:36:14.536Z",
"consecutive_failures": 0,
"status": "alive"
},
"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."
}