For AI agent builders

Your agent is stuck
at step 1: read the web.

Every agent project hits the same wall. The LLM is great. The orchestrator is fine. But scraping is hostile, SERP APIs are expensive, document parsing is broken, and the web breaks every Tuesday. Ollagraph is the layer that fixes all of that.

THE PROBLEM

You shouldn't be integrating six vendors.

A research agent needs scraping (Firecrawl / ScrapingBee). A grounding agent needs SERP (Serper / Tavily). A doc-RAG pipeline needs PDF parsing (LlamaParse / unstructured). A compliance agent needs domain intel (WhoisXML / SecurityTrails). A site-audit agent needs SEO data (DataForSEO / Ahrefs). That's five vendors, five auths, five bills, five SDKs, five rate-limiters, five sets of failure modes. And none of them speak MCP.

WHAT WE FIX

One API. One MCP server. One bill.

Ollagraph covers all five vendors with one Bearer token. Every endpoint exposed as an MCP tool. Failed calls auto-refund. Rate-limiting is per-plan, not per-vendor. The web breaks Tuesday? Our problem, not yours.

USE CASES

What agents actually do with Ollagraph.

Research agents

Fetch a page, clean to article, chunk to fit a model's context. One /v1/scrape/llm-ready call returns the RAG-ready payload — JS-rendered when the page needs it, with the source URL retained for citation.

/v1/scrape/llm-ready · /v1/extract/clean · /v1/seo/keyword-extract

Document agents

Customer uploads a PDF or image. The agent needs structured text, tables, layout. Layout-aware extraction handles forms, multi-column papers, and scans — OCR falls in for image-only docs.

/v1/convert/pdf-to-markdown · /v1/convert/ocr · /v1/extract/tables

Site-audit agents

Customer hands the agent a URL. The agent scores schema coverage, meta-tag health, readability, broken links, AEO citation-readiness — then writes a remediation plan from the findings.

/v1/aeo/page-audit · /v1/seo/schema-validate · /v1/seo/meta-audit

Lead-research agents

Domain in, company profile out: name, description, logo, socials, contact patterns, address. Built from a single page's JSON-LD + OpenGraph + anchor scan — no paid company-data feed.

/v1/enrich/company · /v1/intel/email-auth · /v1/extract/contacts

Security agents

Investigate a domain or IP: WHOIS, RDAP, DNS records, certificate transparency, ASN, subdomains via passive recon (CT logs). No threat-intel feed lock-in.

/v1/intel/cert-transparency-history · /v1/intel/subdomain-enumerate

Grounding agents

The agent claims something. You verify it against the live source: fetch the page, extract the article body, pull keywords or schema. Real fetches, dated artifacts, attributable to a URL.

/v1/scrape · /v1/extract/clean · /v1/aeo/citation-readiness
MCP NATIVE

Drop into Claude Desktop in 30 seconds.

Every Ollagraph endpoint is exposed as an MCP tool. The OpenAPI spec is tuned for LLM tool-use: clear descriptions, typed parameters, predictable error shapes. Add one line to your Claude Desktop / Cursor / Cline config and your agent can call all 228 capabilities directly. No SDK install. No glue code.

~/.config/claude/mcp.json
{
  "mcpServers": {
    "ollagraph": {
      "command": "pipx",
      "args": ["run", "ollagraph-mcp"],
      "env": {
        "OLLAGRAPH_API_KEY": "osk_..."
      }
    }
  }
}

Stop integrating. Start shipping.

1,000 credits on signup. 228 endpoints. MCP server. No card. No vendor sprawl.