--- title: Tabstack vs. building it yourself | Tabstack description: What it takes to build the search-to-answer loop on your own stack, what you get for it, and when owning that loop is the right decision rather than the expensive one. --- The most common alternative to Tabstack is not another vendor. It is a search API, a fetch tool, and a few hundred lines of your own orchestration. That is a legitimate choice, and sometimes the correct one. This page is about which. --- ## What you are actually building A current, cited answer needs a loop: 1. Work out what to search for. 2. Search. 3. Choose which results are worth reading. 4. Fetch the pages, rendering the ones that need a browser. 5. Recover readable content from the markup. 6. Judge relevance and reliability. 7. Notice what is still missing. 8. Search again to close the gap. 9. Reconcile sources that disagree. 10. Synthesize the answer. 11. Attach sources to the claims they support. A search API covers step 2, sometimes parts of 3, 4, and 5. A fetch tool covers 4 and 5. Everything else is yours, and steps 6 through 11 are where answer quality actually lives. ## What it costs to own Not the code. The code is the easy part, and you can have it working in an afternoon. - **Tool-calling reliability.** The loop needs your model to call tools several times in the right order. That varies far more once you are choosing your own model than it does on a hosted assistant. - **Context.** Reading five pages to answer one question can consume more context than the answer is worth, and it competes with your application’s own prompt. - **Latency and tokens.** Every step is another round trip through your model. - **Silent failure.** A fetch that returns a cookie banner. A source that was selected but never read. A citation pointing at a page that does not contain the claim. None of these raise an exception; they just lower quality. - **Rendering.** JavaScript-heavy pages need a real browser. That means a browser fleet, or a service, and the patching that comes with it. - **Drift.** Pages change, models change, frameworks change. The loop is a thing you maintain, not a thing you finish. ## What you get for it Real advantages, and worth being straight about them: - **No dependency.** No vendor in your data path, no third-party outage in your critical path, no pricing change you did not choose. - **Full control of source selection.** If which sources you trust and how you weight them is the product, that logic has to be yours. - **Data locality.** With a local model and a self-hosted search layer, content need not leave your infrastructure. Tabstack is a hosted API: endpoints that apply a model send content to a contracted model provider. See [Data Handling](/trust/data-handling/index.md). - **Cost shape.** You pay for tokens and infrastructure rather than per call, which can be cheaper at high volume with cheap models, and more expensive once you count engineering time. ## Comparison | | Tabstack | Build it yourself | | ----------------------------- | -------------------------------------------- | ------------------------------------------- | | Time to first cited answer | One call | Days to a prototype, longer to trust it | | Who runs the loop | Inside the call | Your model and your code | | Context spent on page content | None, you get the report | Whatever the pages cost | | Browser rendering | Included | Your fleet or a service | | Citation assembly | Included (claim level in `balanced` mode) | Yours to build and verify | | Gap detection and re-query | Included | Yours to build | | Failure surface | One API, documented errors | Search, fetch, render, model, orchestration | | Data path | Hosted, documented | Whatever you choose | | Ongoing maintenance | Vendor’s | Yours | | Cost | Per action, see [Pricing](/pricing/index.md) | Tokens, infrastructure, engineering time | ## Build it yourself when - **The loop is the product.** If your differentiation is how you select, weight, or reconcile sources, do not put that behind someone’s API. - **Hosted processing is unacceptable.** Regulatory or contractual constraints that rule out sending content to a third party rule out the hosted API. No amount of positioning changes that. - **You are air-gapped.** There is no offline deployment of the Tabstack API. - **You need ranked search itself**, not an answer. Tabstack has no search endpoint. - **Volume economics favor it.** At very high volume with a cheap local model, per-token can beat per-call. Model it before assuming either way. ## Use Tabstack when - **The result matters and the loop is plumbing.** You want the answer, not a research pipeline to maintain. - **You would rather spend the model’s capacity on your application** than on operating search and fetch tools. - **You want output with a contract.** Schema-enforced JSON and claim-level citations (`balanced` mode) reduce the code that sits downstream. - **One integration should cover more than research.** The same key covers [reading a URL](/guides/how-to-use-markdown-endpoint/index.md), [typed extraction](/guides/how-to-extract-json/index.md), and [public web tasks](/guides/how-to-use-automate-endpoint/index.md). A middle path is common and sensible: own the orchestration you care about, call Tabstack for the steps you do not want to maintain. Calling `/research` for open questions and `/extract` for pages you already know about still leaves your agent logic entirely yours. ## For the automation layer specifically If your reason for building it yourself is control over browser execution rather than research quality, there is a third option. [Pilo](/guides/pilo/index.md) is the open-source automation engine, Apache-2.0, running on your machine against a model provider you choose, including a local one through Ollama. You keep control without writing the agent loop. ## Related - [Search versus research](/guides/search-vs-research/index.md): the loop, step by step, with code for both shapes. - [Tabstack vs. search APIs](/comparisons/vs-search-apis/index.md): what the search layer does and does not hand back. - [Pricing](/pricing/index.md): what a call costs, so you can compare against your own token math.