For AI agents

Every named customer of data, cloud and AI vendors we find in public case studies, keynotes, press releases, earnings calls and US federal contracts, growing each day, with renewals and migrations, each linked to its source, with provenance and an append-only change log.

Updated every day at 10:00 UTC

Point your agent here

Summary for language modelshttps://stories.fru.dev/llms.txt
Full data as plain texthttps://stories.fru.dev/llms-full.txt
OpenAPI 3.1 spec (load as tools)https://stories.fru.dev/openapi.json

Call the API

MethodPathParamsReturns

GETGET /api/changessince?, limit?changes newest first (storyId, customer, vendor, kind, field, oldValue, newValue, sourceUrl, actor, at, url: the page that shows it, title: that page's heading)
GETGET /api/storiescustomer?, vendor?, event?, limit?, offset?stories with customer, vendor, products, use case, stated outcome, event, the vendor left (migrations), source URL, publisher and date
GETGET /api/companies/{slug}slugthe company, the vendors it uses and moved away from, the customers it has, and every story behind them
GETGET /api/companiesrole?, industry?, since?, limit?, offset?companies with slug, name, domain, role, industry, vendor category and story counts
GETGET /api/graphnonecompanies and edges (customer, vendor, story count, strongest event, moved away)
GETGET /api/searchq, limit?up to 20 ranked results with title, link and one line

GET/api/changes

What changed: stories added, checked, corrected or removed (append-only)

sinceChanges on or after, YYYY-MM-DD (default 90 days ago)
limitChanges, 1 to 500

Shell

curl -s "https://stories.fru.dev/api/changes?since=2026-09-20&limit=3"

GET/api/stories

Public stories, newest first, filtered by customer, vendor or relationship event

customerCustomer slug, e.g. medtronic
vendorVendor slug, e.g. snowflake
eventRelationship event
limitItems per page, 1 to 200
offsetItems to skip, for the next page

Shell

curl -s "https://stories.fru.dev/api/stories?vendor=snowflake&limit=2"

Sample response

JSON

{
  "items": [
    {
      "id": 1,
      "customer": "medtronic",
      "vendor": "snowflake",
      "products": [
        "Snowflake"
      ],
      "useCase": "Great Lakes program moving the enterprise data warehouse from on-premises systems to Snowflake",
      "outcome": "",
      "event": "migrated",
      "fromVendor": "",
      "fromLabel": "on-premises data warehouse",
      "sourceKind": "customer_blog",
      "sourceUrl": "https://www.snowflake.com/en/blog/medtronic-using-snowflake-for-digital-transformation/",
      "sourceTitle": "How Medtronic is Using Snowflake for Digital Transformation",
      "publisher": "snowflake.com",
      "date": "2022-06-21"
    },
    {
      "id": 24,
      "customer": "siemens",
      "vendor": "snowflake",
      "products": [
        "Snowflake"
      ],
      "useCase": "Siemens Data Cloud: enterprise data mesh replacing an on-prem SAP HANA data lake",
      "outcome": "600+ projects running across business divisions",
      "event": "migrated",
      "fromVendor": "sap",
      "fromLabel": "on-premises SAP HANA data lake",
      "sourceKind": "vendor_case_study",
      "sourceUrl": "https://www.snowflake.com/en/customers/all-customers/case-study/siemens-1/",
      "sourceTitle": "Siemens Builds an Enterprise-Wide Data Mesh Platform to Accelerate Innovation",
      "publisher": "snowflake.com",
      "date": ""
    }
  ],
  "limit": 2,
  "offset": 0,
  "next": "/api/stories?vendor=snowflake&limit=2&offset=2"
}

GET/api/companies/{slug}

One company's tech stack (as a customer) or named customers (as a vendor)

slugCompany slug, e.g. medtronic or databricks

Shell

curl -s "https://stories.fru.dev/api/companies/medtronic"

Sample response

JSON

{
  "company": {
    "slug": "medtronic",
    "name": "Medtronic",
    "domain": "medtronic.com",
    "role": "customer",
    "industry": "healthcare",
    "category": "",
    "blurb": ""
  },
  "url": "https://stories.fru.dev/customers/medtronic",
  "uses": [
    {
      "slug": "mongodb",
      "name": "MongoDB",
      "stories": 1,
      "event": "adopted",
      "first": "",
      "last": ""
    },
    {
      "slug": "aws",
      "name": "Amazon Web Services",
      "stories": 1,
      "event": "adopted",
      "first": "2022-03-10",
      "last": "2022-03-10"
    }
  ],
  "movedAwayFrom": [],
  "customers": [],
  "customersLost": [],
  "stories": [
    {
      "id": 1,
      "customer": "medtronic",
      "vendor": "snowflake",
      "products": [
        "Snowflake"
      ],
      "useCase": "Great Lakes program moving the enterprise data warehouse from on-premises systems to Snowflake",
      "outcome": "",
      "event": "migrated",
      "fromVendor": "",
      "fromLabel": "on-premises data warehouse",
      "sourceKind": "customer_blog",
      "sourceUrl": "https://www.snowflake.com/en/blog/medtronic-using-snowflake-for-digital-transformation/",
      "sourceTitle": "How Medtronic is Using Snowflake for Digital Transformation",
      "publisher": "snowflake.com",
      "date": "2022-06-21"
    },
    {
      "id": 2,
      "customer": "medtronic",
      "vendor": "aws",
      "products": [
        "AWS",
        "AI/ML services"
      ],
      "useCase": "Scalable infrastructure and AI to turn around PillCam colon cancer screening results",
      "outcome": "",
      "event": "adopted",
      "fromVendor": "",
      "fromLabel": "",
      "sourceKind": "vendor_case_study",
      "sourceUrl": "https://www.youtube.com/watch?v=-KsHbNO9X4A",
      "sourceTitle": "Medtronic Increases Accessibility to Colorectal Cancer Screening with AWS",
      "publisher": "youtube.com",
      "date": "2022-03-10"
    }
  ]
}

GET/api/companies

Every customer and vendor with at least one story

rolecustomer or vendor
industryCustomer industry, e.g. healthcare
sinceOnly companies with a story added or changed on or after, YYYY-MM-DD
limitItems per page, 1 to 200
offsetItems to skip, for the next page

Shell

curl -s "https://stories.fru.dev/api/companies?role=vendor&limit=3"

Sample response

JSON

{
  "items": [
    {
      "slug": "aws",
      "name": "Amazon Web Services",
      "domain": "aws.amazon.com",
      "role": "vendor",
      "industry": "",
      "category": "cloud",
      "vendors": 0,
      "customers": 8,
      "stories": 9,
      "url": "https://stories.fru.dev/vendors/aws"
    },
    {
      "slug": "confluent",
      "name": "Confluent",
      "domain": "confluent.io",
      "role": "vendor",
      "industry": "",
      "category": "streaming",
      "vendors": 0,
      "customers": 3,
      "stories": 3,
      "url": "https://stories.fru.dev/vendors/confluent"
    }
  ],
  "total": 11,
  "limit": 3,
  "offset": 0,
  "next": "/api/companies?role=vendor&limit=3&offset=3"
}

GET/api/graph

The whole customer and vendor graph in one call

Shell

curl -s "https://stories.fru.dev/api/graph"

Sample response

JSON

{
  "companies": [
    {
      "slug": "adobe",
      "name": "Adobe",
      "domain": "adobe.com",
      "role": "customer",
      "industry": "technology",
      "category": "",
      "blurb": ""
    },
    {
      "slug": "albertsons",
      "name": "Albertsons Companies",
      "domain": "albertsons.com",
      "role": "customer",
      "industry": "retail",
      "category": "",
      "blurb": ""
    }
  ],
  "pairs": [
    {
      "c": "medtronic",
      "v": "mongodb",
      "lost": false,
      "n": 1,
      "ev": "adopted",
      "first": "",
      "last": "",
      "u": false
    },
    {
      "c": "at-and-t",
      "v": "snowflake",
      "lost": false,
      "n": 1,
      "ev": "migrated",
      "first": "",
      "last": "",
      "u": false
    }
  ],
  "stories": 50,
  "updated": null,
  "note": "pairs: c = customer slug, v = vendor slug, n = stories, ev = strongest event, lost = customer moved away from v"
}

GET/api/search

Search customers, vendors, customer and vendor pairs, and pages

qCompany, vendor or words
limitResults, 1 to 20

Shell

curl -s "https://stories.fru.dev/api/search?q=snowflake&limit=3"

Sample response

JSON

{
  "q": "snowflake",
  "results": [
    {
      "id": "co:snowflake",
      "group": "companies",
      "title": "Snowflake",
      "subtitle": "Data cloud vendor · 7 named customers",
      "href": "/vendors/snowflake",
      "keywords": [
        "snowflake",
        "snowflake.com"
      ],
      "logo": "https://img.logo.dev/snowflake.com?token=...&retina=true&format=png&theme=light&size=64&fallback=404",
      "boost": 14,
      "score": 1064
    },
    {
      "id": "pair:at-and-t:snowflake",
      "group": "items",
      "title": "AT&T uses Snowflake",
      "subtitle": "1 story · Moved to",
      "href": "/pairs/at-and-t-snowflake",
      "keywords": [
        "AT&T Snowflake",
        "AT&T uses Snowflake"
      ],
      "icon": "link",
      "boost": 1,
      "score": 626
    }
  ]
}

Add to your agent

System prompt

For which companies publicly use which data, cloud and AI vendors (case studies, renewals, migrations), fetch https://stories.fru.dev/llms.txt and use https://stories.fru.dev/api/stories (spec: https://stories.fru.dev/openapi.json). Cite "Stories (stories.fru.dev)" with a link.

Usage terms

Free to read, no key needed
Cite "Stories (stories.fru.dev)" with a link
Responses are cached; updated every day at 10:00 UTC
Keep to 60 requests a minute or fewer
Stories marked unverified (reviewed: false) were found by the daily agent and not yet checked by hand; the source link is where they came from.