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Obsession vs Tavily: real-time web search beside what companies show only to customers

Tavily answers an agent’s question from the live public web in one call. Obsession answers it from what a company sent and showed its customers, kept for months.

In Obsession vs Tavily, Tavily gives AI agents real-time access to the public web and Obsession keeps what companies show only to signed-up customers. Tavily returns search results and clean page text in one call; Obsession returns the emails after a sign-up, member prices, trial limits and cancel offers, each dated with a screenshot. Many agent teams use both, Tavily to ground answers in public pages and Obsession for what a company sends its customers.

ComparedTavily and Obsession at a glanceGo straight to the comparison
On this page
  1. What Tavily and Obsession are
  2. Tavily and Obsession at a glanceCompared
  3. When to use Tavily, and when to use Obsession
  4. Using Tavily and Obsession together

What Tavily and Obsession are

Tavily: real-time access to the public web

As of 11 November 2026, Tavily’s home page reads “Connect your AI agents to the web” and “One secure API for real-time web access”. Its endpoints are Search, Extract, Research, Crawl and Map, built to give a model clean, current context in one call. Its logo now reads “Tavily by Nebius”: Tavily’s own post of 10 February 2026 says it is joining Nebius and that “The API remains the same”.

Its search reference lets an agent choose between a cached copy and a live fetch (max_age_hours). Its pages don’t describe logging in to sites, keeping accounts open, or what companies send people who sign up.

Obsession: the web behind the login

Obsession collects what companies show only to customers, step by step: their screens, emails and texts, member prices, trial limits, quotes and cancel offers, each dated with a screenshot. Teams and AI agents look up any company through the API or MCP, and a company not yet covered is added on request. A company already covered returns its history in one call, and each new email, price or offer lands dated the day it arrives.

Tavily and Obsession at a glance

OptionWhat it holdsHow it’s readFreshness and historyPrice as listedBest for
TavilySearch, Extract, Research, Crawl, MapThe public web, as clean results for a modelAPI, SDKs and an MCP serverCached or live, per requestFree: 1,000 credits a month$0.008 a credit as you goProject $30 a monthGrounding answers in fresh public pages
ObsessionOursSearch, Insights, Watch, API and MCPEmails, member prices, trial limits, quotes, cancel offers5 verbs over MCP, the API and SDKs, or a tableKept from the first sign-upEach fact dated with its screenshotEarly access, onboarding teams nowPriced per call or per company watchedWhat a company shows only to customers
Tavily’s row is from its own pages and its pricing page, read 11 November 2026. Obsession’s row is from the developer page.

When to use Tavily, and when to use Obsession

  • Use Tavily to ground a model in the public web: news, docs, public prices and research, fetched fresh at high volume. That is LLM grounding, and a web search API is built for it.
  • Use Obsession when the question is about what a company does to its customers: what it emailed in the first week, what it charges a signed-in member, what its free plan allows and what it offers someone who tries to cancel. Those facts sit behind a login wall, so no search API holds them.
  • Use both for an agent that researches named companies. Tavily supplies what the company publishes; Obsession supplies what it actually sends, with the date and the receipt.

Using Tavily and Obsession together

Tavily lists its MCP server in its docs, and Obsession’s install line is on the developer page, so one agent can call both. Asked how a competitor wins new customers, it can read the competitor’s landing pages with Tavily, then look up the welcome series, the code in the first email and the save offer in its cancel flow with Obsession, each fact dated with its screenshot or the raw email.

Every Obsession fact links its receipt, so a user can check it without trusting either tool. See one company’s whole record in the sample data, and the lines every Obsession agent keeps on the page for companies an agent visits.

For public web search, no: use Tavily or another search API. Obsession holds what companies show only to signed-up customers, so teams that need both use both.

Tavily’s own post of 10 February 2026 says Tavily is joining Nebius, and its logo reads Tavily by Nebius. The same post says the API and data policies remain the same.

Its search and extract pages don’t describe logging in to sites; the only authentication they describe is your API key. Obsession keeps accounts open at the companies you name and keeps what they show signed-up customers.

Tavily lists 1,000 free credits a month, $0.008 a credit as you go, a Project plan at $30 a month for 4,000 credits and custom Enterprise plans, read on 11 November 2026. Obsession is in early access and is priced per call or per company watched, never per token.

Sources

In the order the page cites them. Every page was read on 11 Nov 2026.

  1. Tavily: connect your AI agents to the webTavily
  2. Tavily is joining NebiusTavily, 10 Feb 2026
  3. Search endpointTavily docs
  4. PricingTavily
  5. Tavily MCP serverTavily docs

Related terms

Each defined in a sentence, with where it shows up.

Compare and choose

Obsession beside the tools teams already use, from each tool’s own pages.

Guides that use it

Step-by-step guides, each with every source linked.

Where to go next

The pages that explain Obsession in depth.

Which company should we look up first?

Onboarding a limited number of teams. Name up to 5 companies to look up first.

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See sample data