The Revenue AI Report
Independent weekly on AI in B2B revenue teams: articles, frameworks, skills, playbooks, datasets.
Should I use this
Quality & Safety
A
Based on automated analysis of tool definitions and protocol compliance.
Context Cost
~8,553Tokens (tool definitions)
~3.4 KBTypical response size
Significant attention impact (6.68% of 128k context)
This is the approximate number of tokens consumed each time the server's tools are loaded into a model's context. Higher counts reduce the attention available for other tasks.
Install
One-Click Install
Add this to your `claude_desktop_config.json` file:
{
"mcpServers": {
"the-revenue-ai-report": {
"url": "https://www.therevenueaireport.com/mcp"
}
}
}Remote endpoints
https://www.therevenueaireport.com/mcpstreamable-httpWhat it can do
Tool inventory
Tools (23)
🟢 Read-only🟡 Write🔴 Delete⚪ Unknown
🟢list_resources
Map of every public resource type The Revenue AI Report publishes, how many items each holds, the hub URL, and which tool reads it. Call this to orient before searching.
Input Schema
{
"type": "object",
"properties": {}
}Output Schema
{
"type": "object",
"properties": {
"totalIndexed": {
"type": "number"
},
"resources": {
"type": "array",
"items": {
"type": "object",
"properties": {
"kind": {
"type": "string"
},
"count": {
"type": "number"
},
"hubUrl": {
"type": "string"
},
"tools": {
"type": "string"
},
"categories": {
"type": "array",
"items": {
"type": "string"
}
},
"tags": {
"type": "array",
"items": {
"type": "string"
}
}
},
"required": [
"kind",
"count",
"hubUrl",
"tools",
"categories",
"tags"
],
"additionalProperties": {}
}
}
},
"required": [
"totalIndexed",
"resources"
],
"$schema": "http://json-schema.org/draft-07/schema#",
"additionalProperties": false
}🟢search_site(query, kind, category, tags, tag_match, ...)
Search every public resource on The Revenue AI Report in one call: articles, research themes, frameworks, methodology, skills, prompts, playbooks, datasets, archive issues, the reversal ledger, the AI tool library, and glossary and dictionary definitions. Filters: `kind` (resource type), `category` (article or issue pillar, playbook or prompt team, skill task, tool or ledger category, case insensitive), `tags` with `tag_match` ('all' requires every tag, 'any' requires one). Paging: `limit` (page size, default 12, max 40) with either `offset` or the `next_cursor` returned by the previous call. Results are ranked and stable for the same query and filters. Returns ranked matches with live URL, kind, category, tags and an excerpt, plus `totalMatches`, `countsByKind`, `availableFilters` for discovery, and `nextCursor`/`hasMore` for paging. Examples: {"query":"forecast accuracy"} | {"query":"pipeline hygiene","kind":"Playbook","category":"revops","tags":["L3"]} | {"query":"AI SDR","tags":["L2","sales"],"tag_match":"any"} | {"query":"AI SDR","limit":10,"offset":10} | {"query":"AI SDR","limit":10,"cursor":"<next_cursor from previous call>"} Use this first when you do not know which resource type answers the question.
Input Schema
{
"type": "object",
"properties": {
"query": {
"type": "string",
"minLength": 2,
"description": "What the user is looking for, e.g. 'AI SDR pilot kill criteria'."
},
"kind": {
"description": "Restrict results to one resource type, e.g. 'Playbook' or 'Skill'.",
"type": "string",
"enum": [
"Article",
"Research",
"Framework",
"Methodology",
"Skill",
"Prompt",
"Dataset",
"Archive issue",
"Reversal Ledger",
"Playbook",
"AI tool",
"Definition"
]
},
"category": {
"description": "Restrict to one category: article/issue pillar, playbook or prompt team, skill task, tool or ledger category. Case insensitive. Example: 'revops'.",
"type": "string"
},
"tags": {
"description": "Tags to filter on. Tags include playbook tags, maturity levels (L1 to L6), skill roles and levels, prompt teams, and tool functions. Example: ['L3','sales'].",
"type": "array",
"items": {
"type": "string"
}
},
"tag_match": {
"description": "How to apply `tags`. 'all' (default) keeps items carrying every tag. 'any' keeps items carrying at least one.",
"type": "string",
"enum": [
"all",
"any"
]
},
"limit": {
"description": "Page size. Default 12, max 40.",
"type": "integer",
"minimum": 1,
"maximum": 40
},
"offset": {
"description": "How many ranked matches to skip before this page. Default 0. Ignored when `cursor` is given.",
"type": "integer",
"minimum": 0,
"maximum": 9007199254740991
},
"cursor": {
"description": "Opaque `next_cursor` from the previous call. Fetches the following page with the same query and filters.",
"type": "string"
}
},
"required": [
"query"
],
"$schema": "http://json-schema.org/draft-07/schema#"
}Output Schema
{
"type": "object",
"properties": {
"query": {
"type": "string"
},
"filters": {
"type": "object",
"properties": {
"kind": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
]
},
"category": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
]
},
"tags": {
"type": "array",
"items": {
"type": "string"
}
},
"tagMatch": {
"type": "string"
}
},
"required": [
"kind",
"category",
"tags",
"tagMatch"
],
"additionalProperties": {}
},
"totalMatches": {
"type": "number"
},
"returned": {
"type": "number"
},
"offset": {
"type": "number"
},
"limit": {
"type": "number"
},
"hasMore": {
"type": "boolean"
},
"nextOffset": {
"anyOf": [
{
"type": "number"
},
{
"type": "null"
}
]
},
"nextCursor": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
]
},
"countsByKind": {
"type": "object",
"propertyNames": {
"type": "string"
},
"additionalProperties": {
"type": "number"
}
},
"results": {
"type": "array",
"items": {
"type": "object",
"properties": {
"kind": {
"type": "string"
},
"title": {
"type": "string"
},
"path": {
"type": "string"
},
"url": {
"type": "string"
},
"category": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
]
},
"tags": {
"type": "array",
"items": {
"type": "string"
}
},
"excerpt": {
"type": "string"
}
},
"required": [
"kind",
"title",
"path",
"url",
"category",
"tags",
"excerpt"
],
"additionalProperties": {}
}
},
"availableFilters": {
"type": "object",
"properties": {
"categories": {
"type": "array",
"items": {
"type": "string"
}
},
"tags": {
"type": "array",
"items": {
"type": "string"
}
}
},
"required": [
"categories",
"tags"
],
"additionalProperties": {}
},
"indexedDocuments": {
"type": "number"
}
},
"required": [
"query",
"filters",
"totalMatches",
"returned",
"offset",
"limit",
"hasMore",
"nextOffset",
"nextCursor",
"countsByKind",
"results",
"availableFilters",
"indexedDocuments"
],
"$schema": "http://json-schema.org/draft-07/schema#",
"additionalProperties": false
}🟢get_resource(path)
Read the indexed text of any public resource on The Revenue AI Report by its site path or full URL, whatever the type: article, research theme, framework, skill, prompt, playbook, dataset, tool profile, archive issue, ledger row, or definition. Use this when search_site returns a path you want to read in full.
Input Schema
{
"type": "object",
"properties": {
"path": {
"type": "string",
"minLength": 1,
"description": "Site path or full URL, e.g. /playbooks/ai-meeting-notes-l1."
}
},
"required": [
"path"
],
"$schema": "http://json-schema.org/draft-07/schema#"
}Output Schema
{
"type": "object",
"properties": {
"resource": {
"type": "object",
"properties": {
"kind": {
"type": "string"
},
"title": {
"type": "string"
},
"path": {
"type": "string"
},
"url": {
"type": "string"
},
"text": {
"type": "string"
}
},
"required": [
"kind",
"title",
"path",
"url",
"text"
],
"additionalProperties": {}
},
"path": {
"type": "string"
},
"matches": {
"type": "array",
"items": {
"type": "object",
"properties": {
"kind": {
"type": "string"
},
"title": {
"type": "string"
},
"url": {
"type": "string"
}
},
"required": [
"kind",
"title",
"url"
],
"additionalProperties": {}
}
}
},
"$schema": "http://json-schema.org/draft-07/schema#",
"additionalProperties": false
}🟢get_publication_info
Get an overview of The Revenue AI Report: its mission, editorial pillars, audience, sponsorship policy and article count.
Input Schema
{
"type": "object",
"properties": {},
"$schema": "http://json-schema.org/draft-07/schema#"
}Output Schema
{
"type": "object",
"properties": {
"name": {
"type": "string"
},
"url": {
"type": "string"
},
"mission": {
"type": "string"
},
"description": {
"type": "string"
},
"audience": {
"type": "string"
},
"cadence": {
"type": "string"
},
"pillars": {
"type": "array",
"items": {
"type": "string"
}
},
"sponsorship": {
"type": "string"
},
"articleCount": {
"type": "number"
}
},
"required": [
"name",
"url",
"mission",
"description",
"audience",
"cadence",
"pillars",
"sponsorship",
"articleCount"
],
"$schema": "http://json-schema.org/draft-07/schema#",
"additionalProperties": false
}🟢list_publications(pillar, limit)
List published articles from The Revenue AI Report, newest first. Returns slug, title, summary, pillar, date and reading time.
Input Schema
{
"type": "object",
"properties": {
"pillar": {
"description": "Optional editorial pillar to filter by.",
"type": "string",
"enum": [
"Reality Check",
"The Teardown",
"Benchmark",
"Post-Mortem",
"Playbook"
]
},
"limit": {
"description": "Max number of articles to return.",
"type": "integer",
"minimum": 1,
"maximum": 50
}
},
"$schema": "http://json-schema.org/draft-07/schema#"
}Output Schema
{
"type": "object",
"properties": {
"items": {
"type": "array",
"items": {
"type": "object",
"properties": {
"slug": {
"type": "string"
},
"title": {
"type": "string"
},
"summary": {
"type": "string"
},
"pillar": {
"type": "string"
},
"date": {
"type": "string"
},
"readingTime": {
"type": "string"
},
"url": {
"type": "string"
}
},
"required": [
"slug",
"title",
"summary",
"pillar",
"date",
"readingTime",
"url"
],
"additionalProperties": {}
}
}
},
"required": [
"items"
],
"$schema": "http://json-schema.org/draft-07/schema#",
"additionalProperties": false
}🟢search_publications(query, limit)
Full-text search across The Revenue AI Report articles (titles, summaries, body text, keywords and FAQs). Returns matching articles with a short excerpt.
Input Schema
{
"type": "object",
"properties": {
"query": {
"type": "string",
"minLength": 2,
"description": "Search terms, e.g. 'AI pilot kill criteria'."
},
"limit": {
"description": "Max number of matches to return.",
"type": "integer",
"minimum": 1,
"maximum": 20
}
},
"required": [
"query"
],
"$schema": "http://json-schema.org/draft-07/schema#"
}Output Schema
{
"type": "object",
"properties": {
"results": {
"type": "array",
"items": {
"type": "object",
"properties": {
"slug": {
"type": "string"
},
"title": {
"type": "string"
},
"pillar": {
"type": "string"
},
"date": {
"type": "string"
},
"excerpt": {
"type": "string"
},
"url": {
"type": "string"
}
},
"required": [
"slug",
"title",
"pillar",
"date",
"excerpt",
"url"
],
"additionalProperties": {}
}
}
},
"required": [
"results"
],
"$schema": "http://json-schema.org/draft-07/schema#",
"additionalProperties": false
}🟢get_publication(slug)
Get the full text of one published article from The Revenue AI Report by its slug, including body paragraphs and FAQs.
Input Schema
{
"type": "object",
"properties": {
"slug": {
"type": "string",
"minLength": 1,
"description": "Article slug, e.g. evaluating-sales-gtm-ai-tools."
}
},
"required": [
"slug"
],
"$schema": "http://json-schema.org/draft-07/schema#"
}Output Schema
{
"type": "object",
"properties": {
"article": {
"type": "object",
"properties": {
"slug": {
"type": "string"
},
"title": {
"type": "string"
},
"summary": {
"type": "string"
},
"pillar": {
"type": "string"
},
"date": {
"type": "string"
},
"author": {
"type": "string"
},
"readingTime": {
"type": "string"
},
"keywords": {
"type": "array",
"items": {
"type": "string"
}
},
"body": {
"type": "array",
"items": {
"type": "string"
}
},
"faqs": {
"type": "array",
"items": {
"type": "object",
"properties": {
"q": {
"type": "string"
},
"a": {
"type": "string"
}
},
"required": [
"q",
"a"
],
"additionalProperties": {}
}
},
"url": {
"type": "string"
}
},
"required": [
"slug",
"title",
"summary",
"pillar",
"date",
"author",
"readingTime",
"keywords",
"body",
"faqs",
"url"
],
"additionalProperties": {}
}
},
"required": [
"article"
],
"$schema": "http://json-schema.org/draft-07/schema#",
"additionalProperties": false
}🟢list_research(query)
List the research themes published by The Revenue AI Report. Each theme is a sourced argument about AI inside B2B revenue teams, with charts, findings, named sources, and sample sizes.
Input Schema
{
"type": "object",
"properties": {
"query": {
"description": "Keyword filter on title, dek, and findings.",
"type": "string"
}
},
"$schema": "http://json-schema.org/draft-07/schema#"
}Output Schema
{
"type": "object",
"properties": {
"total": {
"type": "number"
},
"returned": {
"type": "number"
},
"themes": {
"type": "array",
"items": {
"type": "object",
"properties": {
"slug": {
"type": "string"
},
"number": {
"type": "number"
},
"title": {
"type": "string"
},
"dek": {
"type": "string"
},
"takeaways": {
"type": "array",
"items": {
"type": "string"
}
},
"sourceCount": {
"type": "number"
},
"url": {
"type": "string"
}
},
"required": [
"slug",
"number",
"title",
"dek",
"takeaways",
"sourceCount",
"url"
],
"additionalProperties": {}
}
},
"researchRules": {}
},
"required": [
"total",
"returned",
"themes",
"researchRules"
],
"$schema": "http://json-schema.org/draft-07/schema#",
"additionalProperties": false
}🟢get_research(slug)
Read one research theme in full: the opening argument, every chart with its numbers, the findings, the named sources with publisher, sample size, and caveats, and anything still unconfirmed. Cite the source line, not just the chart.
Input Schema
{
"type": "object",
"properties": {
"slug": {
"type": "string",
"minLength": 1,
"description": "Research theme slug, e.g. proof-gap or task-fallacy."
}
},
"required": [
"slug"
],
"$schema": "http://json-schema.org/draft-07/schema#"
}Output Schema
{
"type": "object",
"properties": {
"theme": {
"type": "object",
"properties": {
"slug": {
"type": "string"
},
"number": {
"type": "number"
},
"title": {
"type": "string"
},
"dek": {
"type": "string"
},
"shortAnswer": {
"type": "string"
},
"intro": {
"type": "array",
"items": {
"type": "string"
}
},
"charts": {
"type": "array",
"items": {
"type": "object",
"properties": {
"id": {
"type": "string"
},
"headline": {
"type": "string"
},
"sub": {
"type": "string"
},
"unit": {
"type": "string"
},
"data": {
"type": "array",
"items": {
"type": "object",
"properties": {
"label": {
"type": "string"
},
"value": {
"type": "number"
}
},
"required": [
"label",
"value"
],
"additionalProperties": {}
}
},
"source": {}
},
"required": [
"id",
"headline",
"sub",
"unit",
"data",
"source"
],
"additionalProperties": {}
}
},
"takeaways": {
"type": "array",
"items": {
"type": "string"
}
},
"sources": {
"type": "array",
"items": {
"type": "object",
"properties": {
"name": {
"type": "string"
},
"detail": {
"type": "string"
},
"url": {
"type": "string"
}
},
"required": [
"name",
"detail",
"url"
],
"additionalProperties": {}
}
},
"unconfirmed": {
"type": "array",
"items": {
"type": "string"
}
},
"url": {
"type": "string"
}
},
"required": [
"slug",
"number",
"title",
"dek",
"shortAnswer",
"intro",
"charts",
"takeaways",
"sources",
"unconfirmed",
"url"
],
"additionalProperties": {}
}
},
"required": [
"theme"
],
"$schema": "http://json-schema.org/draft-07/schema#",
"additionalProperties": false
}🟢list_frameworks
List the frameworks published by The Revenue AI Report, including the canonical concepts (Proof Gap, Optimization Theater, Reversal Ledger, Eight Seat Read) and the named operating frameworks in the library such as SCALE, OAR, LOPAFT, and the L1 to L6 AI Maturity Ladder.
Input Schema
{
"type": "object",
"properties": {}
}Output Schema
{
"type": "object",
"properties": {
"frameworks": {
"type": "array",
"items": {
"type": "object",
"properties": {
"slug": {
"type": "string"
},
"name": {
"type": "string"
},
"type": {
"type": "string"
},
"summary": {
"type": "string"
},
"url": {
"type": "string"
}
},
"required": [
"slug",
"name",
"type",
"summary",
"url"
],
"additionalProperties": {}
}
},
"seats": {
"type": "array",
"items": {
"type": "object",
"properties": {
"n": {
"type": "number"
},
"role": {
"type": "string"
},
"owns": {
"type": "string"
},
"decision": {
"type": "string"
},
"failure": {
"type": "string"
}
},
"required": [
"n",
"role",
"owns",
"decision",
"failure"
],
"additionalProperties": {}
}
}
},
"required": [
"frameworks",
"seats"
],
"$schema": "http://json-schema.org/draft-07/schema#",
"additionalProperties": false
}🟢get_framework(slug)
Read one framework in full, including its definition, sections, related pages, and FAQs.
Input Schema
{
"type": "object",
"properties": {
"slug": {
"type": "string",
"minLength": 1,
"description": "Framework slug, e.g. proof-gap, scale, lopaft, eight-seats."
}
},
"required": [
"slug"
],
"$schema": "http://json-schema.org/draft-07/schema#"
}Output Schema
{
"type": "object",
"properties": {
"framework": {
"type": "object",
"properties": {
"slug": {
"type": "string"
},
"url": {
"type": "string"
}
},
"required": [
"slug",
"url"
],
"additionalProperties": {}
}
},
"required": [
"framework"
],
"$schema": "http://json-schema.org/draft-07/schema#",
"additionalProperties": false
}🟢list_skills(role, task, level, query, limit)
Browse The Revenue AI Report skill library: repeatable AI jobs for revenue teams, each with a ready prompt, a process, decision rules, and limitations. Filter by role, task, or level.
Input Schema
{
"type": "object",
"properties": {
"role": {
"description": "Filter by the role the skill is written for.",
"type": "string",
"enum": [
"Executive and Founder",
"Sales Leader",
"Sales Representative",
"SDR and BDR",
"Marketing",
"Revenue Operations",
"GTM Engineering",
"Enablement",
"Customer Success",
"Partnerships",
"Revenue Finance"
]
},
"task": {
"description": "Filter by the job the skill finishes.",
"type": "string",
"enum": [
"Plan",
"Research",
"Build Pipeline",
"Run Deals",
"Forecast",
"Build Campaigns",
"Coach Teams",
"Keep Customers",
"Grow Accounts",
"Measure Results",
"Evaluate AI",
"Govern AI"
]
},
"level": {
"description": "Filter by difficulty.",
"type": "string",
"enum": [
"Start Here",
"Intermediate",
"Advanced"
]
},
"query": {
"description": "Optional keyword filter on name and outcome.",
"type": "string"
},
"limit": {
"type": "integer",
"minimum": 1,
"maximum": 100
}
},
"$schema": "http://json-schema.org/draft-07/schema#"
}Output Schema
{
"type": "object",
"properties": {
"total": {
"type": "number"
},
"returned": {
"type": "number"
},
"skills": {
"type": "array",
"items": {
"type": "object",
"properties": {
"slug": {
"type": "string"
},
"name": {
"type": "string"
},
"outcome": {
"type": "string"
},
"roles": {
"type": "array",
"items": {
"type": "string"
}
},
"task": {
"type": "string"
},
"level": {
"type": "string"
},
"setupTime": {
"type": "string"
},
"url": {
"type": "string"
},
"skillFileUrl": {
"type": "string"
}
},
"required": [
"slug",
"name",
"outcome",
"roles",
"task",
"level",
"setupTime",
"url",
"skillFileUrl"
],
"additionalProperties": {}
}
}
},
"required": [
"total",
"returned",
"skills"
],
"$schema": "http://json-schema.org/draft-07/schema#",
"additionalProperties": false
}🟢get_skill(slug)
Read one skill in full, including the copy-ready quick prompt, inputs, process, decision rules, quality checks, limitations, worked example, and the downloadable SKILL.md URL.
Input Schema
{
"type": "object",
"properties": {
"slug": {
"type": "string",
"minLength": 1,
"description": "Skill slug, e.g. build-ideal-customer-profile."
}
},
"required": [
"slug"
],
"$schema": "http://json-schema.org/draft-07/schema#"
}Output Schema
{
"type": "object",
"properties": {
"skill": {
"type": "object",
"properties": {
"slug": {
"type": "string"
},
"name": {
"type": "string"
},
"url": {
"type": "string"
},
"skillFileUrl": {
"type": "string"
}
},
"required": [
"slug",
"name",
"url",
"skillFileUrl"
],
"additionalProperties": {}
},
"relatedPlaybooks": {
"type": "array",
"items": {
"type": "object",
"properties": {
"slug": {
"type": "string"
},
"title": {
"type": "string"
},
"url": {
"type": "string"
}
},
"required": [
"slug",
"title",
"url"
],
"additionalProperties": {}
}
},
"relatedTools": {
"type": "array",
"items": {
"type": "object",
"properties": {
"slug": {
"type": "string"
},
"name": {
"type": "string"
},
"url": {
"type": "string"
}
},
"required": [
"slug",
"name",
"url"
],
"additionalProperties": {}
}
}
},
"required": [
"skill",
"relatedPlaybooks",
"relatedTools"
],
"$schema": "http://json-schema.org/draft-07/schema#",
"additionalProperties": false
}🟢list_prompts(team, category, query, limit)
Browse the public prompt library from The Revenue AI Report. Copy-ready AI prompts for revenue teams, filterable by team, category, or keyword. Use get_prompt to read the full prompt text.
Input Schema
{
"type": "object",
"properties": {
"team": {
"description": "Filter by revenue team.",
"type": "string",
"enum": [
"All Revenue Teams",
"Business Development",
"Customer Success",
"Enablement",
"Leadership",
"Marketing",
"RevOps",
"Sales"
]
},
"category": {
"description": "Filter by what the prompt does.",
"type": "string",
"enum": [
"Analyze",
"Create",
"Organize",
"Predict",
"Prepare",
"Research",
"Summarize"
]
},
"query": {
"description": "Keyword filter on name and summary.",
"type": "string"
},
"limit": {
"description": "Default 30.",
"type": "integer",
"minimum": 1,
"maximum": 100
}
},
"$schema": "http://json-schema.org/draft-07/schema#"
}Output Schema
{
"type": "object",
"properties": {
"total": {
"type": "number"
},
"matched": {
"type": "number"
},
"returned": {
"type": "number"
},
"prompts": {
"type": "array",
"items": {
"type": "object",
"properties": {
"slug": {
"type": "string"
},
"name": {
"type": "string"
},
"summary": {
"type": "string"
},
"category": {
"type": "string"
},
"teams": {
"type": "array",
"items": {
"type": "string"
}
},
"url": {
"type": "string"
}
},
"required": [
"slug",
"name",
"summary",
"category",
"teams",
"url"
],
"additionalProperties": {}
}
}
},
"required": [
"total",
"matched",
"returned",
"prompts"
],
"$schema": "http://json-schema.org/draft-07/schema#",
"additionalProperties": false
}🟢get_prompt(slug)
Get the full copy-ready text of one prompt from The Revenue AI Report prompt library, by slug.
Input Schema
{
"type": "object",
"properties": {
"slug": {
"type": "string",
"minLength": 1,
"description": "Prompt slug, e.g. prep-for-follow-up."
}
},
"required": [
"slug"
],
"$schema": "http://json-schema.org/draft-07/schema#"
}Output Schema
{
"type": "object",
"properties": {
"prompt": {
"type": "object",
"properties": {
"slug": {
"type": "string"
},
"name": {
"type": "string"
},
"summary": {
"type": "string"
},
"category": {
"type": "string"
},
"teams": {
"type": "array",
"items": {
"type": "string"
}
},
"body": {
"type": "string"
},
"url": {
"type": "string"
}
},
"required": [
"slug",
"name",
"summary",
"category",
"teams",
"body",
"url"
],
"additionalProperties": {}
}
},
"required": [
"prompt"
],
"$schema": "http://json-schema.org/draft-07/schema#",
"additionalProperties": false
}🟢list_playbooks(team, maturity, query, limit)
Browse the GTM AI playbook library from The Revenue AI Report. Each playbook is a sequenced workflow with owner, tool, pitfalls, definition of done, and KPIs, mapped to a team and to an L1 to L6 AI maturity level. Filter by team, maturity level, or keyword.
Input Schema
{
"type": "object",
"properties": {
"team": {
"description": "Team or category. One of: cs, enablement, general, marketing, org, revops, sales.",
"type": "string"
},
"maturity": {
"description": "AI maturity level, L1 to L6.",
"type": "integer",
"minimum": 1,
"maximum": 6
},
"query": {
"description": "Keyword filter on title, summary, and tags.",
"type": "string"
},
"limit": {
"description": "Default 30.",
"type": "integer",
"minimum": 1,
"maximum": 100
}
},
"$schema": "http://json-schema.org/draft-07/schema#"
}Output Schema
{
"type": "object",
"properties": {
"total": {
"type": "number"
},
"matched": {
"type": "number"
},
"returned": {
"type": "number"
},
"teams": {
"type": "array",
"items": {
"type": "string"
}
},
"playbooks": {
"type": "array",
"items": {
"type": "object",
"properties": {
"slug": {
"type": "string"
},
"title": {
"type": "string"
},
"summary": {
"type": "string"
},
"team": {
"type": "string"
},
"maturity": {
"type": "number"
},
"maturityLabel": {
"type": "string"
},
"steps": {
"type": "number"
},
"url": {
"type": "string"
}
},
"required": [
"slug",
"title",
"summary",
"team",
"maturity",
"maturityLabel",
"steps",
"url"
],
"additionalProperties": {}
}
}
},
"required": [
"total",
"matched",
"returned",
"teams",
"playbooks"
],
"$schema": "http://json-schema.org/draft-07/schema#",
"additionalProperties": false
}🟢get_playbook(slug)
Read one playbook in full: every step with its owner, tool, pitfalls, and definition of done, plus the KPIs that prove it worked.
Input Schema
{
"type": "object",
"properties": {
"slug": {
"type": "string",
"minLength": 1,
"description": "Playbook slug, e.g. ai-meeting-notes-l1."
}
},
"required": [
"slug"
],
"$schema": "http://json-schema.org/draft-07/schema#"
}Output Schema
{
"type": "object",
"properties": {
"playbook": {
"type": "object",
"properties": {
"slug": {
"type": "string"
},
"title": {
"type": "string"
},
"summary": {
"type": "string"
},
"category": {
"type": "string"
},
"maturity": {
"type": "number"
},
"tags": {
"type": "array",
"items": {
"type": "string"
}
},
"steps": {
"type": "array",
"items": {
"type": "object",
"properties": {
"name": {
"type": "string"
},
"tool": {
"type": "string"
},
"detail": {
"type": "string"
}
},
"required": [
"name",
"tool",
"detail"
],
"additionalProperties": {}
}
},
"kpis": {
"type": "array",
"items": {
"type": "string"
}
},
"url": {
"type": "string"
}
},
"required": [
"slug",
"title",
"summary",
"category",
"maturity",
"tags",
"steps",
"kpis",
"url"
],
"additionalProperties": {}
},
"relatedSkills": {
"type": "array",
"items": {
"type": "object",
"properties": {
"slug": {
"type": "string"
},
"name": {
"type": "string"
},
"url": {
"type": "string"
},
"skillFileUrl": {
"type": "string"
}
},
"required": [
"slug",
"name",
"url",
"skillFileUrl"
],
"additionalProperties": {}
}
}
},
"required": [
"playbook",
"relatedSkills"
],
"$schema": "http://json-schema.org/draft-07/schema#",
"additionalProperties": false
}🟢list_datasets
List the open datasets published by The Revenue AI Report, with what each contains, its column schema, and the download URL. Most are free CSV downloads.
Input Schema
{
"type": "object",
"properties": {}
}Output Schema
{
"type": "object",
"properties": {
"total": {
"type": "number"
},
"datePublished": {
"type": "string"
},
"bundleUrl": {
"type": "string"
},
"datasets": {
"type": "array",
"items": {
"type": "object",
"properties": {
"slug": {
"type": "string"
},
"title": {
"type": "string"
},
"summary": {
"type": "string"
},
"live": {
"type": "boolean"
},
"gated": {
"type": "boolean"
},
"url": {
"type": "string"
},
"downloadUrl": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
]
}
},
"required": [
"slug",
"title",
"summary",
"gated",
"url",
"downloadUrl"
],
"additionalProperties": {}
}
}
},
"required": [
"total",
"datePublished",
"bundleUrl",
"datasets"
],
"$schema": "http://json-schema.org/draft-07/schema#",
"additionalProperties": false
}🟢get_dataset(slug)
Read one dataset's description, contents, full column schema, method notes, FAQs, and download URL.
Input Schema
{
"type": "object",
"properties": {
"slug": {
"type": "string",
"minLength": 1,
"description": "Dataset slug, e.g. proof-gap-index."
}
},
"required": [
"slug"
],
"$schema": "http://json-schema.org/draft-07/schema#"
}Output Schema
{
"type": "object",
"properties": {
"dataset": {
"type": "object",
"properties": {
"slug": {
"type": "string"
},
"h1": {
"type": "string"
},
"answer": {
"type": "string"
},
"includes": {
"type": "array",
"items": {
"type": "string"
}
},
"schema": {
"type": "array",
"items": {
"type": "object",
"properties": {
"name": {
"type": "string"
},
"description": {
"type": "string"
}
},
"required": [
"name",
"description"
],
"additionalProperties": {}
}
},
"notes": {
"type": "string"
},
"faqs": {
"type": "array",
"items": {
"type": "object",
"properties": {
"q": {
"type": "string"
},
"a": {
"type": "string"
}
},
"required": [
"q",
"a"
],
"additionalProperties": {}
}
},
"url": {
"type": "string"
},
"downloadUrl": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
]
}
},
"required": [
"slug",
"h1",
"answer",
"includes",
"schema",
"notes",
"faqs",
"url",
"downloadUrl"
],
"additionalProperties": {}
}
},
"required": [
"dataset"
],
"$schema": "http://json-schema.org/draft-07/schema#",
"additionalProperties": false
}🟢search_tools(query, category, revenueFunction, tag, maturity, ...)
Search The Revenue AI Report AI tool library: go-to-market and revenue AI vendors with category, revenue functions, use cases, adoption effort level, and vendor claims. Ranking runs on name, description, best-for, and use cases; vendor keywords only count on an exact whole-tag match, so a generic word does not pull in unrelated vendors. Filter with category, revenueFunction, maturity (L1 to L6), or tag. Every response returns availableFilters with the full category and revenue-function lists plus the most common vendor tags, so you can re-run a narrowed query without guessing the taxonomy. Vendor claims are the vendor's own, not Report benchmarks.
Input Schema
{
"type": "object",
"properties": {
"query": {
"description": "Keyword matched on name, description, best-for, and use cases, ranked by relevance.",
"type": "string"
},
"category": {
"description": "Exact tool category, for example 'Productivity & Automation'. See availableFilters.categories.",
"type": "string"
},
"revenueFunction": {
"description": "Exact revenue function, for example Sales, Marketing, Customer Success, Revenue Operations. See availableFilters.functions.",
"type": "string"
},
"tag": {
"description": "Exact vendor keyword, for example 'forecasting'. See availableFilters.topTags.",
"type": "string"
},
"maturity": {
"description": "AI maturity level, from L1 Starter to L6 Rebuilt.",
"type": "integer",
"minimum": 1,
"maximum": 6
},
"limit": {
"description": "Default 25.",
"type": "integer",
"minimum": 1,
"maximum": 100
}
},
"$schema": "http://json-schema.org/draft-07/schema#"
}Output Schema
{
"type": "object",
"properties": {
"total": {
"type": "number"
},
"matched": {
"type": "number"
},
"returned": {
"type": "number"
},
"tools": {
"type": "array",
"items": {
"type": "object",
"properties": {
"slug": {
"type": "string"
},
"name": {
"type": "string"
},
"category": {
"type": "string"
},
"description": {
"type": "string"
},
"functions": {
"type": "array",
"items": {
"type": "string"
}
},
"maturity": {
"type": "number"
},
"website": {
"type": "string"
},
"url": {
"type": "string"
}
},
"required": [
"slug",
"name",
"category",
"description",
"functions",
"maturity",
"website",
"url"
],
"additionalProperties": {}
}
},
"adoptionLevels": {},
"availableFilters": {
"type": "object",
"properties": {
"categories": {
"type": "array",
"items": {
"type": "string"
}
},
"functions": {
"type": "array",
"items": {
"type": "string"
}
},
"maturity": {
"type": "array",
"items": {
"type": "number"
}
},
"topTags": {
"type": "array",
"items": {
"type": "string"
}
}
},
"required": [
"categories",
"functions",
"maturity",
"topTags"
],
"additionalProperties": {}
},
"note": {
"type": "string"
}
},
"required": [
"total",
"matched",
"returned",
"tools",
"adoptionLevels",
"availableFilters",
"note"
],
"$schema": "http://json-schema.org/draft-07/schema#",
"additionalProperties": false
}🟢get_tool(slug, name)
Get one vendor profile in full from The Revenue AI Report AI tool library, by slug or by name. Returns the directory record plus the depth layer: why the adoption effort level is what it is, owning seat and journey stage, buy checks, published case studies, documented discrepancies between vendor claim and independent reporting, corporate status changes, and any Reversal Ledger record naming this vendor.
Input Schema
{
"type": "object",
"properties": {
"slug": {
"description": "Tool slug, e.g. clari.",
"type": "string"
},
"name": {
"description": "Tool name, used when the slug is unknown.",
"type": "string"
}
},
"$schema": "http://json-schema.org/draft-07/schema#"
}Output Schema
{
"type": "object",
"properties": {
"tool": {
"type": "object",
"properties": {
"slug": {
"type": "string"
},
"name": {
"type": "string"
},
"category": {
"type": "string"
},
"description": {
"type": "string"
},
"functions": {
"type": "array",
"items": {
"type": "string"
}
},
"maturity": {
"type": "number"
},
"website": {
"type": "string"
},
"url": {
"type": "string"
}
},
"required": [
"slug",
"name",
"category",
"description",
"functions",
"maturity",
"website",
"url"
],
"additionalProperties": {}
},
"placement": {
"type": "object",
"properties": {
"stage": {
"type": "string"
},
"oar": {
"type": "string"
},
"seat": {
"type": "string"
},
"teams": {
"type": "array",
"items": {
"type": "string"
}
}
},
"required": [
"stage",
"oar",
"seat",
"teams"
],
"additionalProperties": {}
},
"adoption": {
"type": "object",
"properties": {
"level": {
"type": "number"
},
"meaning": {
"type": "string"
},
"rationale": {
"type": "array",
"items": {
"type": "string"
}
}
},
"required": [
"level",
"meaning",
"rationale"
],
"additionalProperties": {}
},
"evidence": {
"type": "object",
"properties": {
"status": {
"type": "string"
},
"caseStudies": {
"type": "array",
"items": {
"type": "object",
"properties": {
"customer": {
"type": "string"
},
"outcome": {
"type": "string"
},
"url": {
"type": "string"
}
},
"required": [
"customer",
"outcome",
"url"
],
"additionalProperties": {}
}
},
"claimAudits": {
"type": "array",
"items": {
"type": "object",
"properties": {
"claim": {
"type": "string"
},
"counter": {
"type": "string"
},
"source": {
"type": "string"
},
"url": {
"type": "string"
}
},
"required": [
"claim",
"counter",
"source",
"url"
],
"additionalProperties": {}
}
},
"fieldNote": {}
},
"required": [
"status",
"caseStudies",
"claimAudits",
"fieldNote"
],
"additionalProperties": {}
},
"corporateStatus": {},
"reversalLedger": {
"type": "array",
"items": {
"type": "object",
"properties": {
"id": {
"type": "string"
},
"company": {
"type": "string"
},
"url": {
"type": "string"
}
},
"required": [
"id",
"company",
"url"
],
"additionalProperties": {}
}
},
"buyChecks": {
"type": "array",
"items": {
"type": "string"
}
},
"relatedSkills": {
"type": "array",
"items": {
"type": "object",
"properties": {
"slug": {
"type": "string"
},
"name": {
"type": "string"
},
"url": {
"type": "string"
},
"skillFileUrl": {
"type": "string"
}
},
"required": [
"slug",
"name",
"url",
"skillFileUrl"
],
"additionalProperties": {}
}
},
"faqs": {
"type": "array",
"items": {
"type": "object",
"properties": {
"q": {
"type": "string"
},
"a": {
"type": "string"
}
},
"required": [
"q",
"a"
],
"additionalProperties": {}
}
}
},
"required": [
"tool",
"placement",
"adoption",
"evidence",
"corporateStatus",
"reversalLedger",
"buyChecks",
"relatedSkills",
"faqs"
],
"$schema": "http://json-schema.org/draft-07/schema#",
"additionalProperties": false
}🟢list_reversals(query, limit)
Read The Revenue AI Report Reversal Ledger: named companies that pulled back, paused, or reversed an AI deployment, with the vendor, function, seat, dates, disclosed cost, stated reason, and the public source for each record.
Input Schema
{
"type": "object",
"properties": {
"query": {
"description": "Keyword filter on company, vendor, function, or reason.",
"type": "string"
},
"limit": {
"description": "Default 50.",
"type": "integer",
"minimum": 1,
"maximum": 100
}
},
"$schema": "http://json-schema.org/draft-07/schema#"
}Output Schema
{
"type": "object",
"properties": {
"total": {
"type": "number"
},
"returned": {
"type": "number"
},
"records": {
"type": "array",
"items": {
"type": "object",
"properties": {
"id": {
"type": "string"
},
"company": {
"type": "string"
},
"vendor": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
]
},
"functionArea": {
"type": "string"
},
"seat": {
"type": "string"
},
"outcome": {
"type": "string"
},
"deployed": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
]
},
"reversed": {
"type": "string"
},
"cost": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
]
},
"reason": {
"type": "string"
},
"sourceName": {
"type": "string"
},
"sourceUrl": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
]
},
"url": {
"type": "string"
}
},
"required": [
"id",
"company",
"vendor",
"functionArea",
"seat",
"outcome",
"deployed",
"reversed",
"cost",
"reason",
"sourceName",
"sourceUrl",
"url"
],
"additionalProperties": {}
}
},
"csvUrl": {
"type": "string"
}
},
"required": [
"total",
"returned",
"records",
"csvUrl"
],
"$schema": "http://json-schema.org/draft-07/schema#",
"additionalProperties": false
}🟢lookup_term(term, limit)
Define a revenue AI term using The Revenue AI Report glossary and plain-language dictionary. Covers Report frameworks, pillars, and measures plus general AI and go-to-market vocabulary.
Input Schema
{
"type": "object",
"properties": {
"term": {
"type": "string",
"minLength": 2,
"description": "The word or phrase to define, e.g. 'proof gap' or 'RAG'."
},
"limit": {
"description": "Default 8.",
"type": "integer",
"minimum": 1,
"maximum": 20
}
},
"required": [
"term"
],
"$schema": "http://json-schema.org/draft-07/schema#"
}Output Schema
{
"type": "object",
"properties": {
"query": {
"type": "string"
},
"results": {
"type": "array",
"items": {
"type": "object",
"properties": {
"term": {
"type": "string"
},
"definition": {
"type": "string"
},
"source": {
"type": "string"
},
"group": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
]
},
"url": {
"type": "string"
},
"canonicalUrl": {
"type": "string"
}
},
"required": [
"term",
"definition",
"source",
"url",
"canonicalUrl"
],
"additionalProperties": {}
}
},
"glossaryTerms": {
"type": "number"
},
"dictionaryTerms": {
"type": "number"
}
},
"required": [
"query",
"results",
"glossaryTerms",
"dictionaryTerms"
],
"$schema": "http://json-schema.org/draft-07/schema#",
"additionalProperties": false
}Community
Evidence
Recent observations
verifiedversion not recorded23 tools