Ollagraph vs Tavily
Tavily is a search API tuned for AI agents and RAG — ask a question, get ranked sources and a synthesized answer. Ollagraph is the layer underneath: fetch, render, extract, and enrich the actual pages, behind one key.
What Tavily does well
Tavily is purpose-built for agents that need to search the web and get back clean, ranked, LLM-ready results with an optional synthesized answer. The search-and-summarize loop is fast, the API is simple, and for 'find sources and answer a question' it's an excellent, focused fit. If your agent's job is primarily real-time search and quick answers, Tavily serves it well.
Where Ollagraph goes further
- The full page, not just the snippet. Tavily returns ranked results and summaries; Ollagraph fetches and renders the actual pages — clean markdown, structured JSON-LD / OpenGraph, screenshots via sessions — for the URLs you care about.
- Managed anti-bot + rendering. A 4-tier engine escalates from a fast HTTP path to a stealth browser with a residential-proxy option, so protected and JS-heavy pages still return. Search APIs hand you links; getting the hard ones to load is on you.
- Domain intelligence. DNS/WHOIS/SSL/enrichment alongside the fetch — context a search result doesn't carry.
- One key, refunds on failure. Retrieval (where you supply the URLs), extraction, intelligence, actors, and an MCP server all draw from the same credits — 1 per call, failed calls auto-refunded.
Side by side
| Feature | Tavily | Ollagraph |
|---|---|---|
| Agent-tuned web search + ranked sources | Native (its core) | Bring your URLs / crawl |
| Synthesized answer from sources | Yes | Not the focus |
| Full-page fetch + clean markdown | Snippets / summaries | Native |
| Managed anti-bot + JS rendering | Limited | Included (4-tier) |
| Structured data (JSON-LD / OpenGraph) | Not offered | Native |
| Domain intelligence (DNS / WHOIS / SSL) | Not offered | Included |
| MCP server for AI agents | Yes | Included |
| Free to start | Free tier | 1,000 credits |
Who each is best for
Agents whose core need is real-time web search with ranked sources and a quick synthesized answer, and who don't need to fetch, render, or enrich the underlying pages themselves.
Teams who need to fetch and render the actual pages — clean markdown, structured data, and intelligence — behind one key, often alongside a search step. Tavily and Ollagraph are frequently complementary: search to find, Ollagraph to fetch and extract.
Sources & further reading
The standards behind every tool in this comparison, for readers who want the primary sources rather than our summary of them:
- Web scraping (Wikipedia) — the category these tools operate in, with its technical and legal background.
- RFC 9309 — Robots Exclusion Protocol (IETF, 2022) — the robots.txt standard a responsible crawler honors.
- JSON-LD 1.1 (W3C Recommendation) — the structured-data format these tools extract.
- Retrieval-Augmented Generation (Lewis et al., 2020) — the AI pattern most of this web data ultimately feeds.
Common questions
Is Ollagraph a search API like Tavily?
Not primarily. Tavily's core is query-to-ranked-sources with a synthesized answer; Ollagraph's core is fetching, rendering, extracting, and enriching specific pages. Many teams use both — Tavily (or another search) to discover URLs, Ollagraph to pull clean content and intelligence from them.
Can Ollagraph replace Tavily for an agent?
If your agent mostly needs to read specific pages and structured data, yes — point it at the URLs and Ollagraph returns clean markdown plus extraction. If it needs open-web search and answers, keep a search layer; Ollagraph complements it rather than replacing it.
How does pricing compare?
Both price on usage. Ollagraph uses credits — 1 per call, failed calls auto-refund — with pay-as-you-go from $5 and 1,000 free credits to start. Compare against Tavily's current tiers on their pricing page.
Try Ollagraph free.
1,000 credits, one bearer token, every endpoint. Decide for yourself.