Ramp Data

Analyze Ramp economic data

Category: Finance
Primary Subcategory: Sector, Macro & Alternative Data Intelligence

Integration details

Description

Ramp Data MCP enables ChatGPT users to access Ramp Data from billions of dollars in real corporate spend across 50,000+ businesses, including Ramp Rate (vendor adoption, pricing, and switching trends) and the AI Index (how businesses are spending on AI). Ramp Data is used by founders, procurement leads, researchers, investors, and policy analysts and is cited by leading publications like NYT, WSJ, Bloomberg, and more.

Integration type: Plugin
Verification status: Not applicable
Platform: ChatGPT
Category: Finance
Primary Subcategory: Sector, Macro & Alternative Data Intelligence
Secondary Subcategories: None listed
Brand: Ramp
Access: No account required
First tracked: 2026-05-01
Tool count: 9
Geography: US

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Primary Subcategory

Competing in ChatGPT Corporate Spend, Expense & Procurement

View Category

Listed in alphabetical order

Primary Subcategory

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Tools

9 tools agents can invoke

Get Ai Adoption Get AI adoption snapshot with vendor breakdown. Returns a list of monthly records, each containing the overall AI adoption share and per-vendor adoption shares (e.g. OpenAI, Google, Anthropic). Per-vendor shares can overlap because customers may use multiple AI vendors. Use `months` to request up to 120 months of history (default 1); available history begins around January 2023, so fewer months may be returned.
Get Ai Adoption By Sector Get AI adoption broken down by industry sector. Returns a list of monthly records with per-sector AI adoption shares (e.g. Technology, Healthcare, Finance). Use `months` to request up to 120 months of history (default 1).
Get Ai Adoption By Size Get AI adoption broken down by company size. Returns a list of monthly records with per-size-segment AI adoption shares. Use `months` to request up to 120 months of history (default 1).
Compare Vendors Compare adoption metrics across 2-10 vendors side by side. Requires vendor_slugs (call ramp_rate_resolve_vendor first to get slugs from names). Example: {"vendor_slugs": ["slack-technologies", "salesforce"]}.
Get Category Summary Get adoption stats for a single software category including adoption rate, YoY/MoM change, growth rank, vendor count, and FTE segment breakdown. Example: {"category": "CRM"}. Call ramp_rate_list_categories first to discover valid category names.
Get Category Vendors Get ranked vendor leaderboard within a category. Returns per-vendor adoption rates, spend share, growth metrics, and competitive rankings. Note: competitor_switch_rate is the share of within-category switchers who chose this vendor (a win rate among switchers), NOT a retention or churn rate. Example: {"category": "CRM", "limit": 10}. Call ramp_rate_list_categories first to discover valid category names.
Get Vendor Profile Get a vendor's Ramp Rate profile across all categories it belongs to. Accepts a canonical vendor slug and can recover from common vendor names, domains, Slack links, Markdown links, and public Ramp vendor URLs. Example: {"vendor_slug": "slack-technologies"}.
List Categories List all available Ramp Rate software categories, call this first to discover valid category names. Returns a list of category objects each with a 'software_category' field (e.g. 'CRM', 'Observability', 'Communication').
Resolve Vendor Resolve a vendor name to its canonical slug and list its software categories. Pass a human-readable vendor name and get back the vendor_slug needed by other tools. Example: {"vendor_name": "Slack"} returns {"vendor_slug": "slack-technologies", "software_categories": ["Communication"]}.

Ramp Data FAQ

How do I improve a ChatGPT Plugin's discoverability?

The levers are the listing surface agents actually read: names, descriptions, keywords, tool metadata, and registry health. Which lever matters depends on where discovery breaks, which is what continuous measurement shows.

What are Ramp Data alternatives on ChatGPT?

As of 2026-09-28, Ramp Data competes with Allowance, Brex, Expensify, Perk, PuraFi Expenses, Ramp, Rydoo, Tropic in ChatGPT Corporate Spend, Expense & Procurement, ranked by public Discoverability Score.

Where is this profile measured?

This profile uses the geography attached to the latest public registry snapshot: US. Locale tags are intentionally omitted.

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Competing in ChatGPT Corporate Spend, Expense & Procurement

9 tools agents can invoke