Web source infrastructure for AI products

Source API for AI agents.

Search, extract, and retrieve trusted web sources with one simple API. SRCX turns web pages into clean, LLM-ready context for AI apps, agents, and RAG systems.

Trusted sources. Clean context. Fast retrieval. Developer-first API.
Trusted sourcesClean contextFast retrievalAI-ready contentSearch + Extract + Context
POST /v1/context
curl -X POST https://srcx.ai/v1/context \ -H "Authorization: Bearer lmsk_..." \ -d '{"query":"what is Feishu","max_sources":5}' { "ok": true, "data": { "answer_ready": true, "sources": ["official", "reference", "technical"] } }
Securesource access
Cleancontent layer
AIquality ranked
PRODUCT

Web sources converted into AI-ready context.

Traditional search APIs return links. SRCX handles the difficult layer after search: crawling, cleaning, deduplication, ranking, and context packaging for AI products.

S

Search API

AI-tuned relevance ranking adapts to entity, freshness, how-to, comparison, and multilingual research needs.

E

Extract API

A resilient extraction layer removes navigation, ads, boilerplate, and duplicate text while preserving usable source context.

C

Context API

Structured context blocks combine trusted sources, concise excerpts, metadata, and citations for downstream AI workflows.

SRCX ranked search interface visual
SRCX governed crawl pipeline visual
OPERATING MODEL

Built for governed source acquisition.

24/7scheduled source refresh
4core APIs: search, extract, crawl, context
AIquality signals for more precise source ranking
100%SSRF and robots checks before external fetches
PRICING

Simple credits for developers and teams.

Every new account starts with one-time developer credits. Paid plans refresh monthly. Add-on credits are available on top of active membership.

Developer

One-time starter credits

$0
  • 500 credits once
  • For initial testing
  • No monthly refresh
Start free

Search Plus

Personal developers

$9.9/mo
  • 2,000 credits / month
  • Search + Extract + Context
  • API key console
Choose Plus

Search Max

Enterprise workloads

$49.9/mo
  • 20,000 credits / month
  • Team-ready governance
  • Add-on: $9.9 / 1,500 credits
Talk to us
DEVELOPER EXPERIENCE

Drop-in API docs for search and context.

Start with cURL, then move into your backend. Results use a unified JSON envelope with source attribution, request IDs, and credit metadata.

Open docs

GET /v1/search?q=Feishu%20what%20is&limit=5
Authorization: Bearer lmsk_...

{
  "ok": true,
    "data": {
      "query_type": "entity_research",
      "results": [
        {"title":"Feishu", "source_type":"reference"}
      ]
    }
  }
AI ECOSYSTEM

Give your AI tools a reliable web source layer.

Use SRCX anywhere an AI app needs web search, page extraction, citations, or fresh context. It works especially well for local AI tools, agent builders, RAG workflows, and GitHub open-source projects that need a clean search API.

For local AI users

Add web awareness to desktop model tools and local assistants without building your own crawler, cleaner, cache, and ranking stack.

For agent builders

Let agents retrieve current sources, read clean pages, and pass cited context into prompts instead of guessing from stale model memory.

For open-source AI projects

Connect SRCX through HTTP tools, custom actions, workflow nodes, or retrieval plugins in projects that need web search and extraction.

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Build web-aware AI apps with SRCX.

AI applications do not lack models. They lack reliable, timely, clean external information sources. SRCX is the source layer for agents, RAG systems, local AI tools, and developer products.

[email protected]