Search case studies | casestudies.dev

curl -G https://whatsapp-backend-knd2.onrender.com/v1/casestudies \
     -H "X-API-Key: <apiKey>" \
     --data-urlencode "q=reduced churn" \
     -d company=stripe \
     -d featuring=figma.com \
     -d industry=fintech \
     -d tag=payments

{
  "data": [
    {
      "id": "string",
      "company_name": "Stripe",
      "company_slug": "stripe",
      "title": "How Figma scaled payments with Stripe",
      "summary": "Figma adopted Stripe to handle global payments, reducing checkout friction and increasing conversion by 15%.",
      "featured_client": "Figma",
      "industry": "design",
      "source_url": "string",
      "tags": [
        "string"
      ],
      "word_count": 1,
      "published_date": "2023-01-15"
    }
  ],
  "total": 1,
  "page": 1,
  "per_page": 1
}

Search and filter case studies using full-text search and structured filters. Combine multiple filters for precise results.

Authentication

X-API-Keystring

Your casestudy.dev API key. Get one at POST /v1/keys.

Query parameters

qstringOptional

Full-text search query

companystringOptional

Filter by company slug (the vendor)

featuringstringOptional

Filter by featured client domain

industrystringOptional

Filter by industry

tagstringOptional

Filter by tag

pageintegerOptionalDefaults to 1

per_pageintegerOptional<=100Defaults to 20

Response

Paginated case study results

datalist of objects

totalinteger

pageinteger

per_pageinteger

$	curl -G https://whatsapp-backend-knd2.onrender.com/v1/casestudies \
>	-H "X-API-Key: <apiKey>" \
>	--data-urlencode "q=reduced churn" \
>	-d company=stripe \
>	-d featuring=figma.com \
>	-d industry=fintech \
>	-d tag=payments

1	{
2	"data": [
3	{
4	"id": "string",
5	"company_name": "Stripe",
6	"company_slug": "stripe",
7	"title": "How Figma scaled payments with Stripe",
8	"summary": "Figma adopted Stripe to handle global payments, reducing checkout friction and increasing conversion by 15%.",
9	"featured_client": "Figma",
10	"industry": "design",
11	"source_url": "string",
12	"tags": [
13	"string"
14	],
15	"word_count": 1,
16	"published_date": "2023-01-15"
17	}
18	],
19	"total": 1,
20	"page": 1,
21	"per_page": 1
22	}