Free oncology data (research, trials, FDA approvals, news) plus IBM MAMMAL biomedical predictions.
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API key as a Bearer token: 'Bearer ccw_live_YOUR_KEY'. Free key at curecancerwithai.com/api-keys.
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Tool list from our last check. Connect live to refresh it.
Fetch a single blog post by slug, including the full article content.
Blog post slug, e.g. "immunotherapy-breakthroughs".
This tool isn't marked read-only, so it may change something on the server or in an account you connected.
Fetch a single blog post by slug, including the full article content.
| Argument | Type | Description |
|---|---|---|
| slug* | string | Blog post slug, e.g. "immunotherapy-breakthroughs". |
{
"type": "object",
"$schema": "http://json-schema.org/draft-07/schema#",
"required": [
"slug"
],
"properties": {
"slug": {
"type": "string",
"description": "Blog post slug, e.g. \"immunotherapy-breakthroughs\"."
}
},
"additionalProperties": false
}Fetch a single clinical trial by NCT id (or internal id), including eligibility criteria and locations.
| Argument | Type | Description |
|---|---|---|
| nctId* | string | NCT id or internal id, e.g. "NCT01234567". |
{
"type": "object",
"$schema": "http://json-schema.org/draft-07/schema#",
"required": [
"nctId"
],
"properties": {
"nctId": {
"type": "string",
"description": "NCT id or internal id, e.g. \"NCT01234567\"."
}
},
"additionalProperties": false
}Fetch a single research paper by its internal id or PubMed id.
| Argument | Type | Description |
|---|---|---|
| idOrPubmedId* | string | Internal id or PubMed id, e.g. "38123456". |
{
"type": "object",
"$schema": "http://json-schema.org/draft-07/schema#",
"required": [
"idOrPubmedId"
],
"properties": {
"idOrPubmedId": {
"type": "string",
"description": "Internal id or PubMed id, e.g. \"38123456\"."
}
},
"additionalProperties": false
}List editorial blog articles (excerpts). Use get_blog_post for full content. Filter by category, cancer-type tag, or keyword.
| Argument | Type | Description |
|---|---|---|
| limit | integer | Results per page (1–100, default 20). |
| offset | integer | Number of results to skip (default 0). |
| search | string | Keyword search across title, excerpt, and content. |
| category | string | Filter by primary category. |
| cancerType | string | Filter by cancer-type tag. |
{
"type": "object",
"$schema": "http://json-schema.org/draft-07/schema#",
"properties": {
"limit": {
"type": "integer",
"maximum": 100,
"minimum": 1,
"description": "Results per page (1–100, default 20)."
},
"offset": {
"type": "integer",
"minimum": 0,
"description": "Number of results to skip (default 0)."
},
"search": {
"type": "string",
"description": "Keyword search across title, excerpt, and content."
},
"category": {
"type": "string",
"description": "Filter by primary category."
},
"cancerType": {
"type": "string",
"description": "Filter by cancer-type tag."
}
},
"additionalProperties": false
}List clinical trials from public registries (conditions, status, intervention type). Filter by condition, status (e.g. RECRUITING), or keyword.
| Argument | Type | Description |
|---|---|---|
| limit | integer | Results per page (1–100, default 20). |
| offset | integer | Number of results to skip (default 0). |
| search | string | Keyword search across title and description. |
| status | string | Filter by trial status, e.g. RECRUITING. |
| condition | string | Filter by condition. |
{
"type": "object",
"$schema": "http://json-schema.org/draft-07/schema#",
"properties": {
"limit": {
"type": "integer",
"maximum": 100,
"minimum": 1,
"description": "Results per page (1–100, default 20)."
},
"offset": {
"type": "integer",
"minimum": 0,
"description": "Number of results to skip (default 0)."
},
"search": {
"type": "string",
"description": "Keyword search across title and description."
},
"status": {
"type": "string",
"description": "Filter by trial status, e.g. RECRUITING."
},
"condition": {
"type": "string",
"description": "Filter by condition."
}
},
"additionalProperties": false
}List the pharmaceutical-compound characteristics (each scored on the −4…+4 scale) that can be used as preference keys in search_compounds.
No arguments.
{
"type": "object",
"$schema": "http://json-schema.org/draft-07/schema#",
"properties": {}
}List FDA-approved oncology drugs with indication, company, approval date, and label links. Filter by cancer type, keyword, or approval date.
| Argument | Type | Description |
|---|---|---|
| to | string | ISO date upper bound (e.g. 2024-12-31). |
| from | string | ISO date lower bound (e.g. 2024-01-01). |
| limit | integer | Results per page (1–100, default 20). |
| offset | integer | Number of results to skip (default 0). |
| search | string | Keyword search across drug name, generic name, and indication. |
| cancerType | string | Filter by cancer type, e.g. lung, breast, prostate, colorectal, melanoma, leukemia, lymphoma. |
{
"type": "object",
"$schema": "http://json-schema.org/draft-07/schema#",
"properties": {
"to": {
"type": "string",
"description": "ISO date upper bound (e.g. 2024-12-31)."
},
"from": {
"type": "string",
"description": "ISO date lower bound (e.g. 2024-01-01)."
},
"limit": {
"type": "integer",
"maximum": 100,
"minimum": 1,
"description": "Results per page (1–100, default 20)."
},
"offset": {
"type": "integer",
"minimum": 0,
"description": "Number of results to skip (default 0)."
},
"search": {
"type": "string",
"description": "Keyword search across drug name, generic name, and indication."
},
"cancerType": {
"type": "string",
"description": "Filter by cancer type, e.g. lung, breast, prostate, colorectal, melanoma, leukemia, lymphoma."
}
},
"additionalProperties": false
}List curated cancer news articles aggregated from trusted sources. Filter by cancer type, keyword, or published date.
| Argument | Type | Description |
|---|---|---|
| to | string | ISO date upper bound (e.g. 2024-12-31). |
| from | string | ISO date lower bound (e.g. 2024-01-01). |
| limit | integer | Results per page (1–100, default 20). |
| offset | integer | Number of results to skip (default 0). |
| search | string | Keyword search across title, summary, and content. |
| cancerType | string | Filter by cancer type, e.g. lung, breast, prostate, colorectal, melanoma, leukemia, lymphoma. |
{
"type": "object",
"$schema": "http://json-schema.org/draft-07/schema#",
"properties": {
"to": {
"type": "string",
"description": "ISO date upper bound (e.g. 2024-12-31)."
},
"from": {
"type": "string",
"description": "ISO date lower bound (e.g. 2024-01-01)."
},
"limit": {
"type": "integer",
"maximum": 100,
"minimum": 1,
"description": "Results per page (1–100, default 20)."
},
"offset": {
"type": "integer",
"minimum": 0,
"description": "Number of results to skip (default 0)."
},
"search": {
"type": "string",
"description": "Keyword search across title, summary, and content."
},
"cancerType": {
"type": "string",
"description": "Filter by cancer type, e.g. lung, breast, prostate, colorectal, melanoma, leukemia, lymphoma."
}
},
"additionalProperties": false
}List peer-reviewed oncology research papers ingested from PubMed (abstracts, authors, journal, plain-language summaries). Filter by cancer type, treatment type, keyword, or publication date.
| Argument | Type | Description |
|---|---|---|
| to | string | ISO date upper bound (e.g. 2024-12-31). |
| from | string | ISO date lower bound (e.g. 2024-01-01). |
| limit | integer | Results per page (1–100, default 20). |
| offset | integer | Number of results to skip (default 0). |
| search | string | Keyword search across title and abstract. |
| cancerType | string | Filter by cancer type, e.g. lung, breast, prostate, colorectal, melanoma, leukemia, lymphoma. |
| treatmentType | string | Filter by treatment type. |
{
"type": "object",
"$schema": "http://json-schema.org/draft-07/schema#",
"properties": {
"to": {
"type": "string",
"description": "ISO date upper bound (e.g. 2024-12-31)."
},
"from": {
"type": "string",
"description": "ISO date lower bound (e.g. 2024-01-01)."
},
"limit": {
"type": "integer",
"maximum": 100,
"minimum": 1,
"description": "Results per page (1–100, default 20)."
},
"offset": {
"type": "integer",
"minimum": 0,
"description": "Number of results to skip (default 0)."
},
"search": {
"type": "string",
"description": "Keyword search across title and abstract."
},
"cancerType": {
"type": "string",
"description": "Filter by cancer type, e.g. lung, breast, prostate, colorectal, melanoma, leukemia, lymphoma."
},
"treatmentType": {
"type": "string",
"description": "Filter by treatment type."
}
},
"additionalProperties": false
}Check whether the IBM MAMMAL prediction model is loaded and ready. No API key required. Call this before predict_* tools if a prior prediction timed out.
No arguments.
{
"type": "object",
"$schema": "http://json-schema.org/draft-07/schema#",
"properties": {}
}Predict clinical-trial toxicity for a compound using IBM MAMMAL. Returns pred 1 (toxic / likely to fail trials) or 0 (not toxic) plus a raw score. Inference is CPU-bound and may take up to ~60s.
| Argument | Type | Description |
|---|---|---|
| smiles* | string | Compound structure in SMILES notation. |
{
"type": "object",
"$schema": "http://json-schema.org/draft-07/schema#",
"required": [
"smiles"
],
"properties": {
"smiles": {
"type": "string",
"description": "Compound structure in SMILES notation."
}
},
"additionalProperties": false
}Predict drug–target binding affinity as pKd (−log10 Kd; higher = stronger binding) using IBM MAMMAL. Inference is CPU-bound and may take up to ~60s.
| Argument | Type | Description |
|---|---|---|
| drug_seq* | string | Drug structure in SMILES notation. |
| norm_y_std | number | Optional normalization standard-deviation override. |
| target_seq* | string | Target protein amino-acid sequence (single-letter codes). |
| norm_y_mean | number | Optional normalization mean override. |
{
"type": "object",
"$schema": "http://json-schema.org/draft-07/schema#",
"required": [
"target_seq",
"drug_seq"
],
"properties": {
"drug_seq": {
"type": "string",
"description": "Drug structure in SMILES notation."
},
"norm_y_std": {
"type": "number",
"description": "Optional normalization standard-deviation override."
},
"target_seq": {
"type": "string",
"description": "Target protein amino-acid sequence (single-letter codes)."
},
"norm_y_mean": {
"type": "number",
"description": "Optional normalization mean override."
}
},
"additionalProperties": false
}Predict the binding-affinity class for a pair of proteins using the IBM MAMMAL biomedical foundation model. Returns label "1" (interacting) or "0" (non-interacting). Inference is CPU-bound and may take up to ~60s.
| Argument | Type | Description |
|---|---|---|
| protein_a* | string | Amino-acid sequence, single-letter codes (ACDEFGHIKLMNPQRSTVWY), no FASTA header. |
| protein_b* | string | Amino-acid sequence, single-letter codes. |
{
"type": "object",
"$schema": "http://json-schema.org/draft-07/schema#",
"required": [
"protein_a",
"protein_b"
],
"properties": {
"protein_a": {
"type": "string",
"description": "Amino-acid sequence, single-letter codes (ACDEFGHIKLMNPQRSTVWY), no FASTA header."
},
"protein_b": {
"type": "string",
"description": "Amino-acid sequence, single-letter codes."
}
},
"additionalProperties": false
}Find pharmaceutical compounds two ways: by example drugs you already know (fuzzy-matched), or by setting target characteristics on a −4…+4 scale. Provide exactly one of `examples` or `preferences`. Use list_compound_characteristics for the available preference names.
| Argument | Type | Description |
|---|---|---|
| limit | integer | Max results (1–100, default 20). |
| examples | array | Known drug names to find similar compounds for, e.g. ["aspirin","ibuprofen"]. Mutually exclusive with preferences. |
| preferences | object | Map of characteristic name to desired value on the −4…+4 scale, e.g. {"Neuroactive":3,"Immunoactive":-2}. Omit a characteristic to ignore it. Mutually exclusive with examples. |
| include_characteristics | boolean | Include each result’s characteristic scores in the response. |
{
"type": "object",
"$schema": "http://json-schema.org/draft-07/schema#",
"properties": {
"limit": {
"type": "integer",
"maximum": 100,
"minimum": 1,
"description": "Max results (1–100, default 20)."
},
"examples": {
"type": "array",
"items": {
"type": "string"
},
"description": "Known drug names to find similar compounds for, e.g. [\"aspirin\",\"ibuprofen\"]. Mutually exclusive with preferences."
},
"preferences": {
"type": "object",
"description": "Map of characteristic name to desired value on the −4…+4 scale, e.g. {\"Neuroactive\":3,\"Immunoactive\":-2}. Omit a characteristic to ignore it. Mutually exclusive with examples.",
"additionalProperties": {
"type": "number",
"maximum": 4,
"minimum": -4
}
},
"include_characteristics": {
"type": "boolean",
"description": "Include each result’s characteristic scores in the response."
}
},
"additionalProperties": false
}Search a keyword across every Cure Cancer With AI dataset at once — research papers, news, blog posts, FDA approvals, and clinical trials — with results grouped by type. Use this first for broad discovery, then fetch a single record by id/slug/nctId for full detail.
| Argument | Type | Description |
|---|---|---|
| q* | string | The keyword to search for, e.g. "osimertinib". |
| limit | integer | Max results per dataset (1–100, default 5). |
| types | string | Optional comma-separated datasets to narrow to: research,news,blog,fdaApprovals,clinicalTrials. |
| cancerType | string | Filter by cancer type, e.g. lung, breast, prostate, colorectal, melanoma, leukemia, lymphoma. |
{
"type": "object",
"$schema": "http://json-schema.org/draft-07/schema#",
"required": [
"q"
],
"properties": {
"q": {
"type": "string",
"description": "The keyword to search for, e.g. \"osimertinib\"."
},
"limit": {
"type": "integer",
"maximum": 100,
"minimum": 1,
"description": "Max results per dataset (1–100, default 5)."
},
"types": {
"type": "string",
"description": "Optional comma-separated datasets to narrow to: research,news,blog,fdaApprovals,clinicalTrials."
},
"cancerType": {
"type": "string",
"description": "Filter by cancer type, e.g. lung, breast, prostate, colorectal, melanoma, leukemia, lymphoma."
}
},
"additionalProperties": false
}