ClinicalIntelpulse Clinical Trial Failure Analysis

x402

ClinicalIntelpulse Clinical Trial Failure Analysis is a paid API for AI agents from clinicalintelpulse.vercel.app, paid per call via x402, $0.2/call, status unknown (last checked 2026-09-13).

Returns historical Phase 2/3 failure mode analysis for a disease area, covering patient selection, endpoint design, mechanism, dosing, and safety failures with phase transition success rates.

Price / call$0.2

Seller volume →—

Success—

StatusUnknown

How this service works

Clinical trial failure analysis for a disease area — why Phase 2/3 trials failed (wrong target, patient population, endpoint, dose, safety), failure taxonomy with percentages, phase-transition success rates and design lessons. Worldwide. For drug developers and biotech investors.

Output

A structured breakdown of why trials have historically failed in the queried disease area, categorized by failure mode (patient selection, endpoint design, mechanism of action, dose selection, safety), along with Phase 2-to-Phase 3 and Phase 3-to-approval transition success rates — useful for de-risking drug development decisions and biotech investment due diligence.

Example use cases

Example prompt

“Can you pull the clinical trial failure analysis for non-small cell lung cancer — I want to understand the historical Phase 2 and 3 failure modes broken down by patient selection, endpoint design, mechanism, dosing, and safety issues, along with the phase transition success rates?”

Technical details

Endpoint

GEThttps://clinicalintelpulse.vercel.app/api/clinical/failure-analysis

When to prefer

Use this endpoint when you need structured, historical failure-mode intelligence for a specific disease area to inform drug development strategy, trial design decisions, or biotech investment due diligence. Prefer this over general trial search endpoints when the goal is understanding why past trials have failed rather than finding currently active trials.

Side effects

Disease area not recognized or insufficient historical trial data returns empty or error response
Rare disease with few trials may return low-confidence or sparse failure mode data
API returns 402 Payment Required if USDC payment is not properly attached
Network timeout if upstream clinical data aggregation takes too long
Ambiguous disease name input may return results for wrong indication

Input

Schema · Request body

Field	Type	Description
inputrequired	object
output	object

Output

Schema · Response

{
  "type": "json",
  "example": {
    "query_summary": {
      "condition": "Alzheimer Disease",
      "trials_analyzed": 78
    },
    "lessons_learned": [
      "Early intervention is critical — treat pre-symptomatic or MCI only",
      "Amyloid PET and CSF biomarkers required for enrollment (not just clinical diagnosis)",
      "CDR-SB global score now accepted primary endpoint by FDA (post-2018)",
      "ARIA management protocols must be pre-specified — not post-hoc",
      "Combination approaches (amyloid + tau + neuroinflammation) likely needed"
    ],
    "failure_taxonomy": {
      "wrong_endpoint": {
        "pct": 18,
        "examples": [
          "ADAS-Cog and MMSE insensitive to early disease changes; CDR-SB now standard"
        ],
        "key_trials": [
          "Multiple agents 2010-2020"
        ]
      },
      "safety_termination": {
        "pct": 8,
        "examples": [
          "ARIA (amyloid-related imaging abnormalities) from anti-amyloid antibodies; dose-limiting"
        ],
        "key_trials": [
          "Aducanumab Phase 3 dose arm"
        ]
      },
      "operational_failures": {
        "pct": 4,
        "examples": [
          "COVID-19 disruption, enrollment failures in rare AD subpopulations"
        ]
      },
      "wrong_patient_population": {
        "pct": 28,
        "examples": [
          "Treating symptomatic patients too late — amyloid deposited 10-15 years before symptoms"
        ],
        "key_trials": [
          "Bapineuzumab (mild-moderate vs. early)"
        ]
      },
      "wrong_target_or_hypothesis": {
        "pct": 42,
        "examples": [
          "Decades of amyloid-only focus; tau, neuroinflammation, synaptic loss all contributing to failure cascade"
        ],
        "key_trials": [
          "Solanezumab",
          "Verubecestat",
          "Atabecestat"
        ]
      }
    },
    "what_still_might_fail": [
      "Tau-targeting agents if amyloid clearance alone sufficient",
      "Agents tested in wrong disease stage despite lessons",
      "CNS inflammation approaches without biomarker stratification"
    ],
    "historical_success_rates": {
      "phase2_to_phase3_pct": 31,
      "phase3_to_approval_pct": 11,
      "vs_all_diseases_benchmark": "Alzheimer's has the lowest Phase 3 success rate of any major disease category (11% vs. 58% oncology, 67% hematology)",
      "overall_clinical_success_pct": 3.4
    },
    "successful_design_principles": "CLARITY-AD (lecanemab) and TRAILBLAZER-ALZ2 (donanemab) succeeded by: earlier disease staging, biomarker-confirmed enrollment, CDR-SB endpoint, adequate duration."
  }
}

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How this service works

Output

Example use cases

Example prompt

Technical details

Endpoint

GEThttps://clinicalintelpulse.vercel.app/api/clinical/failure-analysis

When to prefer

Side effects

Disease area not recognized or insufficient historical trial data returns empty or error response
Rare disease with few trials may return low-confidence or sparse failure mode data
API returns 402 Payment Required if USDC payment is not properly attached
Network timeout if upstream clinical data aggregation takes too long
Ambiguous disease name input may return results for wrong indication

Input

Schema · Request body

Field	Type	Description
inputrequired	object
output	object

Output

Schema · Response

{
  "type": "json",
  "example": {
    "query_summary": {
      "condition": "Alzheimer Disease",
      "trials_analyzed": 78
    },
    "lessons_learned": [
      "Early intervention is critical — treat pre-symptomatic or MCI only",
      "Amyloid PET and CSF biomarkers required for enrollment (not just clinical diagnosis)",
      "CDR-SB global score now accepted primary endpoint by FDA (post-2018)",
      "ARIA management protocols must be pre-specified — not post-hoc",
      "Combination approaches (amyloid + tau + neuroinflammation) likely needed"
    ],
    "failure_taxonomy": {
      "wrong_endpoint": {
        "pct": 18,
        "examples": [
          "ADAS-Cog and MMSE insensitive to early disease changes; CDR-SB now standard"
        ],
        "key_trials": [
          "Multiple agents 2010-2020"
        ]
      },
      "safety_termination": {
        "pct": 8,
        "examples": [
          "ARIA (amyloid-related imaging abnormalities) from anti-amyloid antibodies; dose-limiting"
        ],
        "key_trials": [
          "Aducanumab Phase 3 dose arm"
        ]
      },
      "operational_failures": {
        "pct": 4,
        "examples": [
          "COVID-19 disruption, enrollment failures in rare AD subpopulations"
        ]
      },
      "wrong_patient_population": {
        "pct": 28,
        "examples": [
          "Treating symptomatic patients too late — amyloid deposited 10-15 years before symptoms"
        ],
        "key_trials": [
          "Bapineuzumab (mild-moderate vs. early)"
        ]
      },
      "wrong_target_or_hypothesis": {
        "pct": 42,
        "examples": [
          "Decades of amyloid-only focus; tau, neuroinflammation, synaptic loss all contributing to failure cascade"
        ],
        "key_trials": [
          "Solanezumab",
          "Verubecestat",
          "Atabecestat"
        ]
      }
    },
    "what_still_might_fail": [
      "Tau-targeting agents if amyloid clearance alone sufficient",
      "Agents tested in wrong disease stage despite lessons",
      "CNS inflammation approaches without biomarker stratification"
    ],
    "historical_success_rates": {
      "phase2_to_phase3_pct": 31,
      "phase3_to_approval_pct": 11,
      "vs_all_diseases_benchmark": "Alzheimer's has the lowest Phase 3 success rate of any major disease category (11% vs. 58% oncology, 67% hematology)",
      "overall_clinical_success_pct": 3.4
    },
    "successful_design_principles": "CLARITY-AD (lecanemab) and TRAILBLAZER-ALZ2 (donanemab) succeeded by: earlier disease staging, biomarker-confirmed enrollment, CDR-SB endpoint, adequate duration."
  }
}