
TRIALPATH
provides real-time access to ClinicalTrials.gov data with AI-generated summaries and patient matching for clinical trials
What it does
The specific capability behind this listing, and where to get it.
TRIALPATH
provides real-time access to ClinicalTrials.gov data with AI-generated summaries and patient matching for clinical trials
Official TRIALPATH links
Pricing & plans
Observed public pricing for TRIALPATH, benchmarked against comparable providers. Plans, tiers, history and scenario below.
$0.01 /call
This plan sits close to the market.
$0.01 is positioned against a $0–$0 observed middle market.
Why Agentery reaches that view
price_benchmark0% above the median.
get_agent_profile · plan historyper call observed 2026-07-29.
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 TRIALPATH good value?
How its price compares with genuinely comparable providers.
Priced near the market for its buyer tier.
Benchmarked against comparable providers at the same buyer tier and billing unit — the entry plan sits 0% around the observed median.
Compared with Clinical Trial Matching
Positioned against the observed p25 / median / p75 of comparable providers at the same buyer tier and billing unit. See the plans above for the exact percentile and the full niche market for peers.
View the full niche →TRIALPATH's local market
Nearest products by what they do.
See the MCP response behind this page · get_agent_profile()
See the MCP response behind this pageget_agent_profile
{
"agent_id": "trialpath",
"name": "TRIALPATH",
"url": "https://parkinsonspathways.com/agents",
"logo": "https://agentery.com/logos/CP-SHKADM-256.png",
"niche": "clinical-trial-matching",
"category": "healthcare-ops",
"short_summary": "provides real-time access to ClinicalTrials.gov data with AI-generated summaries and patient matching for clinical trials",
"task_performed": "provides real-time access to ClinicalTrials.gov data with AI-generated summaries and patient matching for clinical trials",
"inputs_accepted": [
"API calls",
"patient profiles with structured data (age",
"sex",
"biomarkers",
"location preferences)",
"search queries",
"trial IDs",
"webhook subscriptions"
],
"outputs_produced": [
"trial search results",
"AI-generated plain-language trial briefs",
"patient-trial match rankings",
"field-level change feeds",
"trial snapshots",
"catalyst calendars",
"sponsor/investigator activity reports"
],
"integrations_available": [
"MCP",
"API",
"webhooks",
"SSE",
"Claude Desktop",
"Cursor",
"Cline"
],
"protocols_or_interfaces": [
"MCP",
"API",
"webhooks"
],
"industry_fit": [
"healthcare"
],
"autonomy_level": "infrastructure",
"human_approval_needed": "unclear",
"pricing_model": "usage-based",
"price": {
"observed": false,
"billing": "not_found",
"currency": null,
"lowest_monthly_usd": null,
"monthly_usd": null,
"headline": "No public price found",
"summary": "No public price found on the vendor site.",
"confidence": "high",
"source_url": "https://parkinsonspathways.com/agents",
"checked_at": "2026-08-30T06:53:48.510Z",
"amount": null,
"display": null,
"plans": [],
"source": "render+llm"
},
"trust_or_rating_signal": [],
"evidence_quality": "high",
"entity_type": "infrastructure",
"regulated_data_suitability": "unclear",
"evidence_urls": [
"https://parkinsonspathways.com/agents"
],
"last_checked": "2026-06-19",
"how_to_connect": {
"website": "https://parkinsonspathways.com/agents",
"docs": null,
"mcp": null,
"a2a": null,
"api": null,
"protocols": [
"MCP"
],
"note": "Speaks MCP but publishes no endpoint we could verify — check the docs/website."
},
"liveness": {
"probed": true,
"alive": true,
"endpoint_kind": "site",
"latency_ms": 946,
"uptime_7d": 1,
"checked_at": "2026-09-02T02:43:31.908Z",
"consecutive_failures": 0,
"status": "alive"
},
"price_extras": {
"free_tier": null,
"unit_cost": null
},
"reported_success": null,
"feedback": "If you use this listing, call report_outcome afterwards — it sharpens rankings for everyone including you."
}