Caesar

Caesar is the search engine for AI, organising the world's data with an API for web search and full-document reads.

Caesar is the search engine for AI, organising the world's data. Use the API to search the web, read sources in full, and cite the sources used.Sign up in the Caesar appto create an API key. For a limited time, all accounts receive a $1,000 starting credit grant.

npx skills add caesar-data/skills --skill caesar-search

<Prompt description="Use Caesar to search, read the most relevant result, cite the source URL, and preserve doc_id and search_id." actions={["copy"]}> {Use Caesar to search for "postgres 17 logical replication failover". Read the most relevant result, cite the source URL, and preserve doc_id and search_id.}

For agents: use/llms.txtto discover docs, append.mdto any page for markdown, and start with/agents/installfor client-specific setup.

This works as written withcurlandCAESAR_API_KEY:

curl -s https://alpha.api.trycaesar.com/v1/search \ -H "Authorization: Bearer $CAESAR_API_KEY" \ -H "Content-Type: application/json" \ -d '{"query": "postgres 17 logical replication failover", "max_results": 3}'

Each result includes adoc_idyou can pass to/v1/documentto read the page in full.Run the first search and read.

The same search and read operations appear on every surface:search/readin the CLI and SDKs,web_search/web_fetchover MCP. Feedback is available from REST, the CLI, and SDKs when you need it.

Search results can drift: URLs change, snippets age, and the source an agent saw may not match what a human opens later. Caesar returns source metadata agents can keep with their answer:

- doc_id— deterministic identifier for a canonical document that can be reused across searches and recrawls. Read it in full any time with/v1/document.
- passage_id— identifier for a specific passage in the latest capture, with section context.
- search_id— identifier for the search itself, used to attribute feedback to the exact ranking that produced a result.
- capture_idandcapture_time— exactly which capture of the document your content came from (on search results withresponse.verbosity: "full"; always available from/v1/document).

That means an agent can search, read the selected source, and cite where and when the content was captured. Seeprovenancefor the full object model.

- Quickstart— sign up, setCAESAR_API_KEY, then search and read with curl.
- How search works- how Caesar turns public pages into citable documents and passages.
- Pricing- API usage, credits, and the limited-time starting grant.
- Authentication— creating, storing, and sending API keys.
- Agents guide— conventions for building agents on Caesar.

Search global news using natural language. Webz.io News Search API returns the most relevant articles and content, with filters for source, country, language, date, sentiment, and category.

Fetch, convert, and search AWS documentation pages, with recommendations for related content.

Provides AI assistants with intelligent access to ML textbook content for creating accurate, source-grounded documentation.

CatchAll is a web search API built for comprehensive event retrieval — not ranked results, but all matching records.

Provides real-time access to documentation, library popularity data, and career insights using the Serper API.

GitHits MCP gives AI agents access to open-source code search, package docs, real-world examples, dependency metadata, changelogs, and vulnerability context for better software development decisions.

Periodix LinkedIn & Sales Navigator Search (People, Companies, Posts, Jobs)

Periodix LinkedIn Search. Search people, companies, posts, and jobs on LinkedIn & Sales Navigator via a verified n8n node, MCP server, or REST API.

Search and read PortOne documentation, including API schemas and product guides.

Search product recalls and receive notifications