Server definition
- Hash
- sha256:1a8912867ae6a25143639bd18c3af4003cd6708c3d5663e275af9cd9e2099055
- What it is
- What a remote MCP server returned when asked what it offers: 23 tools
The blob, as servednamed by its sha256
{
"instructions": "The Revenue AI Report is an independent weekly publication on AI inside B2B revenue teams: receipts, benchmarks, post-mortems. Written for Director level and above at companies of 100 or more people across sales, revenue operations, marketing, customer success, enablement, partnerships, and the executive team. Everything on the site is readable through these tools. Start with `list_resources` to see every resource type and its size, or `search_site` to search all of them at once. Then read in depth with the type-specific tools: `get_publication` for articles, `get_research` for sourced research themes, `get_framework` for frameworks, `get_skill` for a skill and its ready prompt, `get_prompt` for full prompt text, `get_playbook` for a step-by-step workflow, `get_dataset` for open data, `get_tool` for an AI vendor profile, `list_reversals` for the Reversal Ledger, and `lookup_term` for definitions. `get_resource` reads any page by path. Always cite the returned live URL on https://www.therevenueaireport.com when quoting. Vendor claims in the tool library are the vendor's own, not Report benchmarks. Research findings carry named sources and sample sizes: cite the source line, not just the number.",
"tools": [
{
"description": "Read one dataset's description, contents, full column schema, method notes, FAQs, and download URL.",
"inputSchema": {
"$schema": "http://json-schema.org/draft-07/schema#",
"properties": {
"slug": {
"description": "Dataset slug, e.g. proof-gap-index.",
"minLength": 1,
"type": "string"
}
},
"required": [
"slug"
],
"type": "object"
},
"name": "get_dataset",
"outputSchema": {
"$schema": "http://json-schema.org/draft-07/schema#",
"additionalProperties": false,
"properties": {
"dataset": {
"additionalProperties": {},
"properties": {
"answer": {
"type": "string"
},
"downloadUrl": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
]
},
"faqs": {
"items": {
"additionalProperties": {},
"properties": {
"a": {
"type": "string"
},
"q": {
"type": "string"
}
},
"required": [
"q",
"a"
],
"type": "object"
},
"type": "array"
},
"h1": {
"type": "string"
},
"includes": {
"items": {
"type": "string"
},
"type": "array"
},
"notes": {
"type": "string"
},
"schema": {
"items": {
"additionalProperties": {},
"properties": {
"description": {
"type": "string"
},
"name": {
"type": "string"
}
},
"required": [
"name",
"description"
],
"type": "object"
},
"type": "array"
},
"slug": {
"type": "string"
},
"url": {
"type": "string"
}
},
"required": [
"slug",
"h1",
"answer",
"includes",
"schema",
"notes",
"faqs",
"url",
"downloadUrl"
],
"type": "object"
}
},
"required": [
"dataset"
],
"type": "object"
}
},
{
"description": "Read one framework in full, including its definition, sections, related pages, and FAQs.",
"inputSchema": {
"$schema": "http://json-schema.org/draft-07/schema#",
"properties": {
"slug": {
"description": "Framework slug, e.g. proof-gap, scale, lopaft, eight-seats.",
"minLength": 1,
"type": "string"
}
},
"required": [
"slug"
],
"type": "object"
},
"name": "get_framework",
"outputSchema": {
"$schema": "http://json-schema.org/draft-07/schema#",
"additionalProperties": false,
"properties": {
"framework": {
"additionalProperties": {},
"properties": {
"slug": {
"type": "string"
},
"url": {
"type": "string"
}
},
"required": [
"slug",
"url"
],
"type": "object"
}
},
"required": [
"framework"
],
"type": "object"
}
},
{
"description": "Read one playbook in full: every step with its owner, tool, pitfalls, and definition of done, plus the KPIs that prove it worked.",
"inputSchema": {
"$schema": "http://json-schema.org/draft-07/schema#",
"properties": {
"slug": {
"description": "Playbook slug, e.g. ai-meeting-notes-l1.",
"minLength": 1,
"type": "string"
}
},
"required": [
"slug"
],
"type": "object"
},
"name": "get_playbook",
"outputSchema": {
"$schema": "http://json-schema.org/draft-07/schema#",
"additionalProperties": false,
"properties": {
"playbook": {
"additionalProperties": {},
"properties": {
"category": {
"type": "string"
},
"kpis": {
"items": {
"type": "string"
},
"type": "array"
},
"maturity": {
"type": "number"
},
"slug": {
"type": "string"
},
"steps": {
"items": {
"additionalProperties": {},
"properties": {
"detail": {
"type": "string"
},
"name": {
"type": "string"
},
"tool": {
"type": "string"
}
},
"required": [
"name",
"tool",
"detail"
],
"type": "object"
},
"type": "array"
},
"summary": {
"type": "string"
},
"tags": {
"items": {
"type": "string"
},
"type": "array"
},
"title": {
"type": "string"
},
"url": {
"type": "string"
}
},
"required": [
"slug",
"title",
"summary",
"category",
"maturity",
"tags",
"steps",
"kpis",
"url"
],
"type": "object"
},
"relatedSkills": {
"items": {
"additionalProperties": {},
"properties": {
"name": {
"type": "string"
},
"skillFileUrl": {
"type": "string"
},
"slug": {
"type": "string"
},
"url": {
"type": "string"
}
},
"required": [
"slug",
"name",
"url",
"skillFileUrl"
],
"type": "object"
},
"type": "array"
}
},
"required": [
"playbook",
"relatedSkills"
],
"type": "object"
}
},
{
"description": "Get the full copy-ready text of one prompt from The Revenue AI Report prompt library, by slug.",
"inputSchema": {
"$schema": "http://json-schema.org/draft-07/schema#",
"properties": {
"slug": {
"description": "Prompt slug, e.g. prep-for-follow-up.",
"minLength": 1,
"type": "string"
}
},
"required": [
"slug"
],
"type": "object"
},
"name": "get_prompt",
"outputSchema": {
"$schema": "http://json-schema.org/draft-07/schema#",
"additionalProperties": false,
"properties": {
"prompt": {
"additionalProperties": {},
"properties": {
"body": {
"type": "string"
},
"category": {
"type": "string"
},
"name": {
"type": "string"
},
"slug": {
"type": "string"
},
"summary": {
"type": "string"
},
"teams": {
"items": {
"type": "string"
},
"type": "array"
},
"url": {
"type": "string"
}
},
"required": [
"slug",
"name",
"summary",
"category",
"teams",
"body",
"url"
],
"type": "object"
}
},
"required": [
"prompt"
],
"type": "object"
}
},
{
"description": "Get the full text of one published article from The Revenue AI Report by its slug, including body paragraphs and FAQs.",
"inputSchema": {
"$schema": "http://json-schema.org/draft-07/schema#",
"properties": {
"slug": {
"description": "Article slug, e.g. evaluating-sales-gtm-ai-tools.",
"minLength": 1,
"type": "string"
}
},
"required": [
"slug"
],
"type": "object"
},
"name": "get_publication",
"outputSchema": {
"$schema": "http://json-schema.org/draft-07/schema#",
"additionalProperties": false,
"properties": {
"article": {
"additionalProperties": {},
"properties": {
"author": {
"type": "string"
},
"body": {
"items": {
"type": "string"
},
"type": "array"
},
"date": {
"type": "string"
},
"faqs": {
"items": {
"additionalProperties": {},
"properties": {
"a": {
"type": "string"
},
"q": {
"type": "string"
}
},
"required": [
"q",
"a"
],
"type": "object"
},
"type": "array"
},
"keywords": {
"items": {
"type": "string"
},
"type": "array"
},
"pillar": {
"type": "string"
},
"readingTime": {
"type": "string"
},
"slug": {
"type": "string"
},
"summary": {
"type": "string"
},
"title": {
"type": "string"
},
"url": {
"type": "string"
}
},
"required": [
"slug",
"title",
"summary",
"pillar",
"date",
"author",
"readingTime",
"keywords",
"body",
"faqs",
"url"
],
"type": "object"
}
},
"required": [
"article"
],
"type": "object"
}
},
{
"description": "Get an overview of The Revenue AI Report: its mission, editorial pillars, audience, sponsorship policy and article count.",
"inputSchema": {
"$schema": "http://json-schema.org/draft-07/schema#",
"properties": {},
"type": "object"
},
"name": "get_publication_info",
"outputSchema": {
"$schema": "http://json-schema.org/draft-07/schema#",
"additionalProperties": false,
"properties": {
"articleCount": {
"type": "number"
},
"audience": {
"type": "string"
},
"cadence": {
"type": "string"
},
"description": {
"type": "string"
},
"mission": {
"type": "string"
},
"name": {
"type": "string"
},
"pillars": {
"items": {
"type": "string"
},
"type": "array"
},
"sponsorship": {
"type": "string"
},
"url": {
"type": "string"
}
},
"required": [
"name",
"url",
"mission",
"description",
"audience",
"cadence",
"pillars",
"sponsorship",
"articleCount"
],
"type": "object"
}
},
{
"description": "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.",
"inputSchema": {
"$schema": "http://json-schema.org/draft-07/schema#",
"properties": {
"slug": {
"description": "Research theme slug, e.g. proof-gap or task-fallacy.",
"minLength": 1,
"type": "string"
}
},
"required": [
"slug"
],
"type": "object"
},
"name": "get_research",
"outputSchema": {
"$schema": "http://json-schema.org/draft-07/schema#",
"additionalProperties": false,
"properties": {
"theme": {
"additionalProperties": {},
"properties": {
"charts": {
"items": {
"additionalProperties": {},
"properties": {
"data": {
"items": {
"additionalProperties": {},
"properties": {
"label": {
"type": "string"
},
"value": {
"type": "number"
}
},
"required": [
"label",
"value"
],
"type": "object"
},
"type": "array"
},
"headline": {
"type": "string"
},
"id": {
"type": "string"
},
"source": {},
"sub": {
"type": "string"
},
"unit": {
"type": "string"
}
},
"required": [
"id",
"headline",
"sub",
"unit",
"data",
"source"
],
"type": "object"
},
"type": "array"
},
"dek": {
"type": "string"
},
"intro": {
"items": {
"type": "string"
},
"type": "array"
},
"number": {
"type": "number"
},
"shortAnswer": {
"type": "string"
},
"slug": {
"type": "string"
},
"sources": {
"items": {
"additionalProperties": {},
"properties": {
"detail": {
"type": "string"
},
"name": {
"type": "string"
},
"url": {
"type": "string"
}
},
"required": [
"name",
"detail",
"url"
],
"type": "object"
},
"type": "array"
},
"takeaways": {
"items": {
"type": "string"
},
"type": "array"
},
"title": {
"type": "string"
},
"unconfirmed": {
"items": {
"type": "string"
},
"type": "array"
},
"url": {
"type": "string"
}
},
"required": [
"slug",
"number",
"title",
"dek",
"shortAnswer",
"intro",
"charts",
"takeaways",
"sources",
"unconfirmed",
"url"
],
"type": "object"
}
},
"required": [
"theme"
],
"type": "object"
}
},
{
"description": "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.",
"inputSchema": {
"$schema": "http://json-schema.org/draft-07/schema#",
"properties": {
"path": {
"description": "Site path or full URL, e.g. /playbooks/ai-meeting-notes-l1.",
"minLength": 1,
"type": "string"
}
},
"required": [
"path"
],
"type": "object"
},
"name": "get_resource",
"outputSchema": {
"$schema": "http://json-schema.org/draft-07/schema#",
"additionalProperties": false,
"properties": {
"matches": {
"items": {
"additionalProperties": {},
"properties": {
"kind": {
"type": "string"
},
"title": {
"type": "string"
},
"url": {
"type": "string"
}
},
"required": [
"kind",
"title",
"url"
],
"type": "object"
},
"type": "array"
},
"path": {
"type": "string"
},
"resource": {
"additionalProperties": {},
"properties": {
"kind": {
"type": "string"
},
"path": {
"type": "string"
},
"text": {
"type": "string"
},
"title": {
"type": "string"
},
"url": {
"type": "string"
}
},
"required": [
"kind",
"title",
"path",
"url",
"text"
],
"type": "object"
}
},
"type": "object"
}
},
{
"description": "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.",
"inputSchema": {
"$schema": "http://json-schema.org/draft-07/schema#",
"properties": {
"slug": {
"description": "Skill slug, e.g. build-ideal-customer-profile.",
"minLength": 1,
"type": "string"
}
},
"required": [
"slug"
],
"type": "object"
},
"name": "get_skill",
"outputSchema": {
"$schema": "http://json-schema.org/draft-07/schema#",
"additionalProperties": false,
"properties": {
"relatedPlaybooks": {
"items": {
"additionalProperties": {},
"properties": {
"slug": {
"type": "string"
},
"title": {
"type": "string"
},
"url": {
"type": "string"
}
},
"required": [
"slug",
"title",
"url"
],
"type": "object"
},
"type": "array"
},
"relatedTools": {
"items": {
"additionalProperties": {},
"properties": {
"name": {
"type": "string"
},
"slug": {
"type": "string"
},
"url": {
"type": "string"
}
},
"required": [
"slug",
"name",
"url"
],
"type": "object"
},
"type": "array"
},
"skill": {
"additionalProperties": {},
"properties": {
"name": {
"type": "string"
},
"skillFileUrl": {
"type": "string"
},
"slug": {
"type": "string"
},
"url": {
"type": "string"
}
},
"required": [
"slug",
"name",
"url",
"skillFileUrl"
],
"type": "object"
}
},
"required": [
"skill",
"relatedPlaybooks",
"relatedTools"
],
"type": "object"
}
},
{
"description": "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.",
"inputSchema": {
"$schema": "http://json-schema.org/draft-07/schema#",
"properties": {
"name": {
"description": "Tool name, used when the slug is unknown.",
"type": "string"
},
"slug": {
"description": "Tool slug, e.g. clari.",
"type": "string"
}
},
"type": "object"
},
"name": "get_tool",
"outputSchema": {
"$schema": "http://json-schema.org/draft-07/schema#",
"additionalProperties": false,
"properties": {
"adoption": {
"additionalProperties": {},
"properties": {
"level": {
"type": "number"
},
"meaning": {
"type": "string"
},
"rationale": {
"items": {
"type": "string"
},
"type": "array"
}
},
"required": [
"level",
"meaning",
"rationale"
],
"type": "object"
},
"buyChecks": {
"items": {
"type": "string"
},
"type": "array"
},
"corporateStatus": {},
"evidence": {
"additionalProperties": {},
"properties": {
"caseStudies": {
"items": {
"additionalProperties": {},
"properties": {
"customer": {
"type": "string"
},
"outcome": {
"type": "string"
},
"url": {
"type": "string"
}
},
"required": [
"customer",
"outcome",
"url"
],
"type": "object"
},
"type": "array"
},
"claimAudits": {
"items": {
"additionalProperties": {},
"properties": {
"claim": {
"type": "string"
},
"counter": {
"type": "string"
},
"source": {
"type": "string"
},
"url": {
"type": "string"
}
},
"required": [
"claim",
"counter",
"source",
"url"
],
"type": "object"
},
"type": "array"
},
"fieldNote": {},
"status": {
"type": "string"
}
},
"required": [
"status",
"caseStudies",
"claimAudits",
"fieldNote"
],
"type": "object"
},
"faqs": {
"items": {
"additionalProperties": {},
"properties": {
"a": {
"type": "string"
},
"q": {
"type": "string"
}
},
"required": [
"q",
"a"
],
"type": "object"
},
"type": "array"
},
"placement": {
"additionalProperties": {},
"properties": {
"oar": {
"type": "string"
},
"seat": {
"type": "string"
},
"stage": {
"type": "string"
},
"teams": {
"items": {
"type": "string"
},
"type": "array"
}
},
"required": [
"stage",
"oar",
"seat",
"teams"
],
"type": "object"
},
"relatedSkills": {
"items": {
"additionalProperties": {},
"properties": {
"name": {
"type": "string"
},
"skillFileUrl": {
"type": "string"
},
"slug": {
"type": "string"
},
"url": {
"type": "string"
}
},
"required": [
"slug",
"name",
"url",
"skillFileUrl"
],
"type": "object"
},
"type": "array"
},
"reversalLedger": {
"items": {
"additionalProperties": {},
"properties": {
"company": {
"type": "string"
},
"id": {
"type": "string"
},
"url": {
"type": "string"
}
},
"required": [
"id",
"company",
"url"
],
"type": "object"
},
"type": "array"
},
"tool": {
"additionalProperties": {},
"properties": {
"category": {
"type": "string"
},
"description": {
"type": "string"
},
"functions": {
"items": {
"type": "string"
},
"type": "array"
},
"maturity": {
"type": "number"
},
"name": {
"type": "string"
},
"slug": {
"type": "string"
},
"url": {
"type": "string"
},
"website": {
"type": "string"
}
},
"required": [
"slug",
"name",
"category",
"description",
"functions",
"maturity",
"website",
"url"
],
"type": "object"
}
},
"required": [
"tool",
"placement",
"adoption",
"evidence",
"corporateStatus",
"reversalLedger",
"buyChecks",
"relatedSkills",
"faqs"
],
"type": "object"
}
},
{
"description": "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.",
"inputSchema": {
"properties": {},
"type": "object"
},
"name": "list_datasets",
"outputSchema": {
"$schema": "http://json-schema.org/draft-07/schema#",
"additionalProperties": false,
"properties": {
"bundleUrl": {
"type": "string"
},
"datasets": {
"items": {
"additionalProperties": {},
"properties": {
"downloadUrl": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
]
},
"gated": {
"type": "boolean"
},
"live": {
"type": "boolean"
},
"slug": {
"type": "string"
},
"summary": {
"type": "string"
},
"title": {
"type": "string"
},
"url": {
"type": "string"
}
},
"required": [
"slug",
"title",
"summary",
"gated",
"url",
"downloadUrl"
],
"type": "object"
},
"type": "array"
},
"datePublished": {
"type": "string"
},
"total": {
"type": "number"
}
},
"required": [
"total",
"datePublished",
"bundleUrl",
"datasets"
],
"type": "object"
}
},
{
"description": "List the frameworks published by The Revenue AI Report, including the canonical concepts (Proof Gap, Optimization Theater, Reversal Ledger, Eight Seat Read) and the named operating frameworks in the library such as SCALE, OAR, LOPAFT, and the L1 to L6 AI Maturity Ladder.",
"inputSchema": {
"properties": {},
"type": "object"
},
"name": "list_frameworks",
"outputSchema": {
"$schema": "http://json-schema.org/draft-07/schema#",
"additionalProperties": false,
"properties": {
"frameworks": {
"items": {
"additionalProperties": {},
"properties": {
"name": {
"type": "string"
},
"slug": {
"type": "string"
},
"summary": {
"type": "string"
},
"type": {
"type": "string"
},
"url": {
"type": "string"
}
},
"required": [
"slug",
"name",
"type",
"summary",
"url"
],
"type": "object"
},
"type": "array"
},
"seats": {
"items": {
"additionalProperties": {},
"properties": {
"decision": {
"type": "string"
},
"failure": {
"type": "string"
},
"n": {
"type": "number"
},
"owns": {
"type": "string"
},
"role": {
"type": "string"
}
},
"required": [
"n",
"role",
"owns",
"decision",
"failure"
],
"type": "object"
},
"type": "array"
}
},
"required": [
"frameworks",
"seats"
],
"type": "object"
}
},
{
"description": "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.",
"inputSchema": {
"$schema": "http://json-schema.org/draft-07/schema#",
"properties": {
"limit": {
"description": "Default 30.",
"maximum": 100,
"minimum": 1,
"type": "integer"
},
"maturity": {
"description": "AI maturity level, L1 to L6.",
"maximum": 6,
"minimum": 1,
"type": "integer"
},
"query": {
"description": "Keyword filter on title, summary, and tags.",
"type": "string"
},
"team": {
"description": "Team or category. One of: cs, enablement, general, marketing, org, revops, sales.",
"type": "string"
}
},
"type": "object"
},
"name": "list_playbooks",
"outputSchema": {
"$schema": "http://json-schema.org/draft-07/schema#",
"additionalProperties": false,
"properties": {
"matched": {
"type": "number"
},
"playbooks": {
"items": {
"additionalProperties": {},
"properties": {
"maturity": {
"type": "number"
},
"maturityLabel": {
"type": "string"
},
"slug": {
"type": "string"
},
"steps": {
"type": "number"
},
"summary": {
"type": "string"
},
"team": {
"type": "string"
},
"title": {
"type": "string"
},
"url": {
"type": "string"
}
},
"required": [
"slug",
"title",
"summary",
"team",
"maturity",
"maturityLabel",
"steps",
"url"
],
"type": "object"
},
"type": "array"
},
"returned": {
"type": "number"
},
"teams": {
"items": {
"type": "string"
},
"type": "array"
},
"total": {
"type": "number"
}
},
"required": [
"total",
"matched",
"returned",
"teams",
"playbooks"
],
"type": "object"
}
},
{
"description": "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.",
"inputSchema": {
"$schema": "http://json-schema.org/draft-07/schema#",
"properties": {
"category": {
"description": "Filter by what the prompt does.",
"enum": [
"Analyze",
"Create",
"Organize",
"Predict",
"Prepare",
"Research",
"Summarize"
],
"type": "string"
},
"limit": {
"description": "Default 30.",
"maximum": 100,
"minimum": 1,
"type": "integer"
},
"query": {
"description": "Keyword filter on name and summary.",
"type": "string"
},
"team": {
"description": "Filter by revenue team.",
"enum": [
"All Revenue Teams",
"Business Development",
"Customer Success",
"Enablement",
"Leadership",
"Marketing",
"RevOps",
"Sales"
],
"type": "string"
}
},
"type": "object"
},
"name": "list_prompts",
"outputSchema": {
"$schema": "http://json-schema.org/draft-07/schema#",
"additionalProperties": false,
"properties": {
"matched": {
"type": "number"
},
"prompts": {
"items": {
"additionalProperties": {},
"properties": {
"category": {
"type": "string"
},
"name": {
"type": "string"
},
"slug": {
"type": "string"
},
"summary": {
"type": "string"
},
"teams": {
"items": {
"type": "string"
},
"type": "array"
},
"url": {
"type": "string"
}
},
"required": [
"slug",
"name",
"summary",
"category",
"teams",
"url"
],
"type": "object"
},
"type": "array"
},
"returned": {
"type": "number"
},
"total": {
"type": "number"
}
},
"required": [
"total",
"matched",
"returned",
"prompts"
],
"type": "object"
}
},
{
"description": "List published articles from The Revenue AI Report, newest first. Returns slug, title, summary, pillar, date and reading time.",
"inputSchema": {
"$schema": "http://json-schema.org/draft-07/schema#",
"properties": {
"limit": {
"description": "Max number of articles to return.",
"maximum": 50,
"minimum": 1,
"type": "integer"
},
"pillar": {
"description": "Optional editorial pillar to filter by.",
"enum": [
"Reality Check",
"The Teardown",
"Benchmark",
"Post-Mortem",
"Playbook"
],
"type": "string"
}
},
"type": "object"
},
"name": "list_publications",
"outputSchema": {
"$schema": "http://json-schema.org/draft-07/schema#",
"additionalProperties": false,
"properties": {
"items": {
"items": {
"additionalProperties": {},
"properties": {
"date": {
"type": "string"
},
"pillar": {
"type": "string"
},
"readingTime": {
"type": "string"
},
"slug": {
"type": "string"
},
"summary": {
"type": "string"
},
"title": {
"type": "string"
},
"url": {
"type": "string"
}
},
"required": [
"slug",
"title",
"summary",
"pillar",
"date",
"readingTime",
"url"
],
"type": "object"
},
"type": "array"
}
},
"required": [
"items"
],
"type": "object"
}
},
{
"description": "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.",
"inputSchema": {
"$schema": "http://json-schema.org/draft-07/schema#",
"properties": {
"query": {
"description": "Keyword filter on title, dek, and findings.",
"type": "string"
}
},
"type": "object"
},
"name": "list_research",
"outputSchema": {
"$schema": "http://json-schema.org/draft-07/schema#",
"additionalProperties": false,
"properties": {
"researchRules": {},
"returned": {
"type": "number"
},
"themes": {
"items": {
"additionalProperties": {},
"properties": {
"dek": {
"type": "string"
},
"number": {
"type": "number"
},
"slug": {
"type": "string"
},
"sourceCount": {
"type": "number"
},
"takeaways": {
"items": {
"type": "string"
},
"type": "array"
},
"title": {
"type": "string"
},
"url": {
"type": "string"
}
},
"required": [
"slug",
"number",
"title",
"dek",
"takeaways",
"sourceCount",
"url"
],
"type": "object"
},
"type": "array"
},
"total": {
"type": "number"
}
},
"required": [
"total",
"returned",
"themes",
"researchRules"
],
"type": "object"
}
},
{
"description": "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.",
"inputSchema": {
"properties": {},
"type": "object"
},
"name": "list_resources",
"outputSchema": {
"$schema": "http://json-schema.org/draft-07/schema#",
"additionalProperties": false,
"properties": {
"resources": {
"items": {
"additionalProperties": {},
"properties": {
"categories": {
"items": {
"type": "string"
},
"type": "array"
},
"count": {
"type": "number"
},
"hubUrl": {
"type": "string"
},
"kind": {
"type": "string"
},
"tags": {
"items": {
"type": "string"
},
"type": "array"
},
"tools": {
"type": "string"
}
},
"required": [
"kind",
"count",
"hubUrl",
"tools",
"categories",
"tags"
],
"type": "object"
},
"type": "array"
},
"totalIndexed": {
"type": "number"
}
},
"required": [
"totalIndexed",
"resources"
],
"type": "object"
}
},
{
"description": "Read The Revenue AI Report Reversal Ledger: named companies that pulled back, paused, or reversed an AI deployment, with the vendor, function, seat, dates, disclosed cost, stated reason, and the public source for each record.",
"inputSchema": {
"$schema": "http://json-schema.org/draft-07/schema#",
"properties": {
"limit": {
"description": "Default 50.",
"maximum": 100,
"minimum": 1,
"type": "integer"
},
"query": {
"description": "Keyword filter on company, vendor, function, or reason.",
"type": "string"
}
},
"type": "object"
},
"name": "list_reversals",
"outputSchema": {
"$schema": "http://json-schema.org/draft-07/schema#",
"additionalProperties": false,
"properties": {
"csvUrl": {
"type": "string"
},
"records": {
"items": {
"additionalProperties": {},
"properties": {
"company": {
"type": "string"
},
"cost": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
]
},
"deployed": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
]
},
"functionArea": {
"type": "string"
},
"id": {
"type": "string"
},
"outcome": {
"type": "string"
},
"reason": {
"type": "string"
},
"reversed": {
"type": "string"
},
"seat": {
"type": "string"
},
"sourceName": {
"type": "string"
},
"sourceUrl": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
]
},
"url": {
"type": "string"
},
"vendor": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
]
}
},
"required": [
"id",
"company",
"vendor",
"functionArea",
"seat",
"outcome",
"deployed",
"reversed",
"cost",
"reason",
"sourceName",
"sourceUrl",
"url"
],
"type": "object"
},
"type": "array"
},
"returned": {
"type": "number"
},
"total": {
"type": "number"
}
},
"required": [
"total",
"returned",
"records",
"csvUrl"
],
"type": "object"
}
},
{
"description": "Browse The Revenue AI Report skill library: repeatable AI jobs for revenue teams, each with a ready prompt, a process, decision rules, and limitations. Filter by role, task, or level.",
"inputSchema": {
"$schema": "http://json-schema.org/draft-07/schema#",
"properties": {
"level": {
"description": "Filter by difficulty.",
"enum": [
"Start Here",
"Intermediate",
"Advanced"
],
"type": "string"
},
"limit": {
"maximum": 100,
"minimum": 1,
"type": "integer"
},
"query": {
"description": "Optional keyword filter on name and outcome.",
"type": "string"
},
"role": {
"description": "Filter by the role the skill is written for.",
"enum": [
"Executive and Founder",
"Sales Leader",
"Sales Representative",
"SDR and BDR",
"Marketing",
"Revenue Operations",
"GTM Engineering",
"Enablement",
"Customer Success",
"Partnerships",
"Revenue Finance"
],
"type": "string"
},
"task": {
"description": "Filter by the job the skill finishes.",
"enum": [
"Plan",
"Research",
"Build Pipeline",
"Run Deals",
"Forecast",
"Build Campaigns",
"Coach Teams",
"Keep Customers",
"Grow Accounts",
"Measure Results",
"Evaluate AI",
"Govern AI"
],
"type": "string"
}
},
"type": "object"
},
"name": "list_skills",
"outputSchema": {
"$schema": "http://json-schema.org/draft-07/schema#",
"additionalProperties": false,
"properties": {
"returned": {
"type": "number"
},
"skills": {
"items": {
"additionalProperties": {},
"properties": {
"level": {
"type": "string"
},
"name": {
"type": "string"
},
"outcome": {
"type": "string"
},
"roles": {
"items": {
"type": "string"
},
"type": "array"
},
"setupTime": {
"type": "string"
},
"skillFileUrl": {
"type": "string"
},
"slug": {
"type": "string"
},
"task": {
"type": "string"
},
"url": {
"type": "string"
}
},
"required": [
"slug",
"name",
"outcome",
"roles",
"task",
"level",
"setupTime",
"url",
"skillFileUrl"
],
"type": "object"
},
"type": "array"
},
"total": {
"type": "number"
}
},
"required": [
"total",
"returned",
"skills"
],
"type": "object"
}
},
{
"description": "Define a revenue AI term using The Revenue AI Report glossary and plain-language dictionary. Covers Report frameworks, pillars, and measures plus general AI and go-to-market vocabulary.",
"inputSchema": {
"$schema": "http://json-schema.org/draft-07/schema#",
"properties": {
"limit": {
"description": "Default 8.",
"maximum": 20,
"minimum": 1,
"type": "integer"
},
"term": {
"description": "The word or phrase to define, e.g. 'proof gap' or 'RAG'.",
"minLength": 2,
"type": "string"
}
},
"required": [
"term"
],
"type": "object"
},
"name": "lookup_term",
"outputSchema": {
"$schema": "http://json-schema.org/draft-07/schema#",
"additionalProperties": false,
"properties": {
"dictionaryTerms": {
"type": "number"
},
"glossaryTerms": {
"type": "number"
},
"query": {
"type": "string"
},
"results": {
"items": {
"additionalProperties": {},
"properties": {
"canonicalUrl": {
"type": "string"
},
"definition": {
"type": "string"
},
"group": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
]
},
"source": {
"type": "string"
},
"term": {
"type": "string"
},
"url": {
"type": "string"
}
},
"required": [
"term",
"definition",
"source",
"url",
"canonicalUrl"
],
"type": "object"
},
"type": "array"
}
},
"required": [
"query",
"results",
"glossaryTerms",
"dictionaryTerms"
],
"type": "object"
}
},
{
"description": "Full-text search across The Revenue AI Report articles (titles, summaries, body text, keywords and FAQs). Returns matching articles with a short excerpt.",
"inputSchema": {
"$schema": "http://json-schema.org/draft-07/schema#",
"properties": {
"limit": {
"description": "Max number of matches to return.",
"maximum": 20,
"minimum": 1,
"type": "integer"
},
"query": {
"description": "Search terms, e.g. 'AI pilot kill criteria'.",
"minLength": 2,
"type": "string"
}
},
"required": [
"query"
],
"type": "object"
},
"name": "search_publications",
"outputSchema": {
"$schema": "http://json-schema.org/draft-07/schema#",
"additionalProperties": false,
"properties": {
"results": {
"items": {
"additionalProperties": {},
"properties": {
"date": {
"type": "string"
},
"excerpt": {
"type": "string"
},
"pillar": {
"type": "string"
},
"slug": {
"type": "string"
},
"title": {
"type": "string"
},
"url": {
"type": "string"
}
},
"required": [
"slug",
"title",
"pillar",
"date",
"excerpt",
"url"
],
"type": "object"
},
"type": "array"
}
},
"required": [
"results"
],
"type": "object"
}
},
{
"description": "Search every public resource on The Revenue AI Report in one call: articles, research themes, frameworks, methodology, skills, prompts, playbooks, datasets, archive issues, the reversal ledger, the AI tool library, and glossary and dictionary definitions. Filters: `kind` (resource type), `category` (article or issue pillar, playbook or prompt team, skill task, tool or ledger category, case insensitive), `tags` with `tag_match` ('all' requires every tag, 'any' requires one). Paging: `limit` (page size, default 12, max 40) with either `offset` or the `next_cursor` returned by the previous call. Results are ranked and stable for the same query and filters. Returns ranked matches with live URL, kind, category, tags and an excerpt, plus `totalMatches`, `countsByKind`, `availableFilters` for discovery, and `nextCursor`/`hasMore` for paging. Examples: {\"query\":\"forecast accuracy\"} | {\"query\":\"pipeline hygiene\",\"kind\":\"Playbook\",\"category\":\"revops\",\"tags\":[\"L3\"]} | {\"query\":\"AI SDR\",\"tags\":[\"L2\",\"sales\"],\"tag_match\":\"any\"} | {\"query\":\"AI SDR\",\"limit\":10,\"offset\":10} | {\"query\":\"AI SDR\",\"limit\":10,\"cursor\":\"<next_cursor from previous call>\"} Use this first when you do not know which resource type answers the question.",
"inputSchema": {
"$schema": "http://json-schema.org/draft-07/schema#",
"properties": {
"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"
},
"cursor": {
"description": "Opaque `next_cursor` from the previous call. Fetches the following page with the same query and filters.",
"type": "string"
},
"kind": {
"description": "Restrict results to one resource type, e.g. 'Playbook' or 'Skill'.",
"enum": [
"Article",
"Research",
"Framework",
"Methodology",
"Skill",
"Prompt",
"Dataset",
"Archive issue",
"Reversal Ledger",
"Playbook",
"AI tool",
"Definition"
],
"type": "string"
},
"limit": {
"description": "Page size. Default 12, max 40.",
"maximum": 40,
"minimum": 1,
"type": "integer"
},
"offset": {
"description": "How many ranked matches to skip before this page. Default 0. Ignored when `cursor` is given.",
"maximum": 9007199254740991,
"minimum": 0,
"type": "integer"
},
"query": {
"description": "What the user is looking for, e.g. 'AI SDR pilot kill criteria'.",
"minLength": 2,
"type": "string"
},
"tag_match": {
"description": "How to apply `tags`. 'all' (default) keeps items carrying every tag. 'any' keeps items carrying at least one.",
"enum": [
"all",
"any"
],
"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'].",
"items": {
"type": "string"
},
"type": "array"
}
},
"required": [
"query"
],
"type": "object"
},
"name": "search_site",
"outputSchema": {
"$schema": "http://json-schema.org/draft-07/schema#",
"additionalProperties": false,
"properties": {
"availableFilters": {
"additionalProperties": {},
"properties": {
"categories": {
"items": {
"type": "string"
},
"type": "array"
},
"tags": {
"items": {
"type": "string"
},
"type": "array"
}
},
"required": [
"categories",
"tags"
],
"type": "object"
},
"countsByKind": {
"additionalProperties": {
"type": "number"
},
"propertyNames": {
"type": "string"
},
"type": "object"
},
"filters": {
"additionalProperties": {},
"properties": {
"category": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
]
},
"kind": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
]
},
"tagMatch": {
"type": "string"
},
"tags": {
"items": {
"type": "string"
},
"type": "array"
}
},
"required": [
"kind",
"category",
"tags",
"tagMatch"
],
"type": "object"
},
"hasMore": {
"type": "boolean"
},
"indexedDocuments": {
"type": "number"
},
"limit": {
"type": "number"
},
"nextCursor": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
]
},
"nextOffset": {
"anyOf": [
{
"type": "number"
},
{
"type": "null"
}
]
},
"offset": {
"type": "number"
},
"query": {
"type": "string"
},
"results": {
"items": {
"additionalProperties": {},
"properties": {
"category": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
]
},
"excerpt": {
"type": "string"
},
"kind": {
"type": "string"
},
"path": {
"type": "string"
},
"tags": {
"items": {
"type": "string"
},
"type": "array"
},
"title": {
"type": "string"
},
"url": {
"type": "string"
}
},
"required": [
"kind",
"title",
"path",
"url",
"category",
"tags",
"excerpt"
],
"type": "object"
},
"type": "array"
},
"returned": {
"type": "number"
},
"totalMatches": {
"type": "number"
}
},
"required": [
"query",
"filters",
"totalMatches",
"returned",
"offset",
"limit",
"hasMore",
"nextOffset",
"nextCursor",
"countsByKind",
"results",
"availableFilters",
"indexedDocuments"
],
"type": "object"
}
},
{
"description": "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.",
"inputSchema": {
"$schema": "http://json-schema.org/draft-07/schema#",
"properties": {
"category": {
"description": "Exact tool category, for example 'Productivity & Automation'. See availableFilters.categories.",
"type": "string"
},
"limit": {
"description": "Default 25.",
"maximum": 100,
"minimum": 1,
"type": "integer"
},
"maturity": {
"description": "AI maturity level, from L1 Starter to L6 Rebuilt.",
"maximum": 6,
"minimum": 1,
"type": "integer"
},
"query": {
"description": "Keyword matched on name, description, best-for, and use cases, ranked by relevance.",
"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"
}
},
"type": "object"
},
"name": "search_tools",
"outputSchema": {
"$schema": "http://json-schema.org/draft-07/schema#",
"additionalProperties": false,
"properties": {
"adoptionLevels": {},
"availableFilters": {
"additionalProperties": {},
"properties": {
"categories": {
"items": {
"type": "string"
},
"type": "array"
},
"functions": {
"items": {
"type": "string"
},
"type": "array"
},
"maturity": {
"items": {
"type": "number"
},
"type": "array"
},
"topTags": {
"items": {
"type": "string"
},
"type": "array"
}
},
"required": [
"categories",
"functions",
"maturity",
"topTags"
],
"type": "object"
},
"matched": {
"type": "number"
},
"note": {
"type": "string"
},
"returned": {
"type": "number"
},
"tools": {
"items": {
"additionalProperties": {},
"properties": {
"category": {
"type": "string"
},
"description": {
"type": "string"
},
"functions": {
"items": {
"type": "string"
},
"type": "array"
},
"maturity": {
"type": "number"
},
"name": {
"type": "string"
},
"slug": {
"type": "string"
},
"url": {
"type": "string"
},
"website": {
"type": "string"
}
},
"required": [
"slug",
"name",
"category",
"description",
"functions",
"maturity",
"website",
"url"
],
"type": "object"
},
"type": "array"
},
"total": {
"type": "number"
}
},
"required": [
"total",
"matched",
"returned",
"tools",
"adoptionLevels",
"availableFilters",
"note"
],
"type": "object"
}
}
]
}Verify it yourself
curl -s https://api.teppi.xyz/v1/evidence/sha256:1a8912867ae6a25143639bd18c3af4003cd6708c3d5663e275af9cd9e2099055 | sha256sum