Clinical Trial & FDA Signal Alerts
Pricing
from $100.00 / 1,000 new trial alerts
Clinical Trial & FDA Signal Alerts
Try Input: 1 drug/condition watch + 1 result ≈ USD 0.01–0.03/watch. From USD 0.01. Paste a watch and Start.
Clinical Trial & FDA Signal Alerts
Pricing
from $100.00 / 1,000 new trial alerts
Try Input: 1 drug/condition watch + 1 result ≈ USD 0.01–0.03/watch. From USD 0.01. Paste a watch and Start.
You can access the Clinical Trial & FDA Signal Alerts programmatically from your own applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in API & Integrations in Apify Console.
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Each watch needs at least one of drugs, conditions, sponsors, or keywords. Optional phases/statuses filters apply to ClinicalTrials.gov only; note a statuses filter can hide status-change alerts for trials that leave the filtered set." }, "sources": { "title": "Sources", "type": "array", "description": "Public sources to query. No API keys required.", "items": { "type": "string", "enum": [ "trials", "fda" ], "enumTitles": [ "ClinicalTrials.gov", "openFDA drug enforcement" ] }, "default": [ "trials", "fda" ] }, "monitorKey": { "title": "Monitor key", "type": "string", "description": "Stable key for stateful no-change monitoring.", "default": "my-clinical-trials-fda-watch" }, "initialRunMode": { "title": "Initial run mode", "enum": [ "baseline_only", "emit_backfill" ], "type": "string", "description": "baseline_only saves state and emits no billable rows. emit_backfill emits current matches for charged proof or first reports.", "default": "baseline_only" }, "generateReport": { "title": "Generate watch report ($5)", "type": "boolean", "description": "Opt-in: generate a source-linked pipeline watch report row when alerts are found.", "default": false }, "emitExport": { "title": "Generate export row ($7)", "type": "boolean", "description": "Opt-in: generate an export bundle row when alerts are found.", "default": false }, "emitRawRows": { "title": "Emit raw record rows", "type": "boolean", "description": "Optional low-priced raw rows. Main value is alert rows.", "default": false }, "maxRecordsPerWatch": { "title": "Max records per watch", "minimum": 1, "maximum": 100, "type": "integer", "description": "Maximum source records to normalize per watch and source before dedupe and alert generation.", "default": 50 }, "maxChargeUsd": { "title": "Max charge USD", "minimum": 0.1, "maximum": 250, "type": "number", "description": "Fail closed before delivery if the estimated PPE charge would exceed this amount.", "default": 25 } } }, "runsResponseSchema": { "type": "object", "properties": { "data": { "type": "object", "properties": { "id": { "type": "string" }, "actId": { "type": "string" }, "userId": { "type": "string" }, "startedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "finishedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "status": { "type": "string", "example": "READY" }, "meta": { "type": "object", "properties": { "origin": { "type": "string", "example": "API" }, "userAgent": { "type": "string" } } }, "stats": { "type": "object", "properties": { "inputBodyLen": { "type": "integer", "example": 2000 }, "rebootCount": { "type": "integer", "example": 0 }, "restartCount": { "type": "integer", "example": 0 }, "resurrectCount": { "type": "integer", "example": 0 }, "computeUnits": { "type": "integer", "example": 0 } } }, "options": { "type": "object", "properties": { "build": { "type": "string", "example": "latest" }, "timeoutSecs": { "type": "integer", "example": 300 }, "memoryMbytes": { "type": "integer", "example": 1024 }, "diskMbytes": { "type": "integer", "example": 2048 } } }, "buildId": { "type": "string" }, "defaultKeyValueStoreId": { "type": "string" }, "defaultDatasetId": { "type": "string" }, "defaultRequestQueueId": { "type": "string" }, "buildNumber": { "type": "string", "example": "1.0.0" }, "containerUrl": { "type": "string" }, "usage": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "integer", "example": 1 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } }, "usageTotalUsd": { "type": "number", "example": 0.00005 }, "usageUsd": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "number", "example": 0.00005 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } } } } } } } }}OpenAPI is a standard for designing and describing RESTful APIs, allowing developers to define API structure, endpoints, and data formats in a machine-readable way. It simplifies API development, integration, and documentation.
OpenAPI is effective when used with AI agents and GPTs by standardizing how these systems interact with various APIs, for reliable integrations and efficient communication.
By defining machine-readable API specifications, OpenAPI allows AI models like GPTs to understand and use varied data sources, improving accuracy. This accelerates development, reduces errors, and provides context-aware responses, making OpenAPI a core component for AI applications.
You can download the OpenAPI definitions for Clinical Trial & FDA Signal Alerts from the options below:
If you’d like to learn more about how OpenAPI powers GPTs, read our blog post.
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