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Stop your agents scraping. Give them a data source.

An agent that browses for facts is slow, expensive and sometimes wrong. An agent that calls a well-designed tool over clean, fresh data answers in seconds and cites its source. We build that tool: managed feeds served as MCP servers and APIs, and MCP servers over your own data.

When we're a fit, and when we're not

A good fit if…

  • Your agents or copilots need facts from the web that change over time.
  • You see agents burning tokens browsing, failing on blocked sites, or making things up.
  • You want ChatGPT, Claude, Cursor or an in-house agent to query your data safely.
  • You need an MCP server over internal data and lack the time to design it well.

Use something cheaper if…

  • Your agent needs to act on websites (book, buy, submit). That needs a browser agent, not a data source.
  • General web search is enough. A search API such as Exa, Tavily or Parallel is the simpler choice.
  • The data is static and small. Put it in the prompt or a file.

What you get

Deliverables you can check, not hours you have to trust.

1

Tool design

A small set of narrow tools ("get_prices", "list_changes") with typed inputs and outputs, not one vague "search" tool.

2

Hosted MCP server

Served over Streamable HTTP with OAuth or API-key auth, ready to add to ChatGPT, Claude, Cursor or your own agent runtime.

3

REST API

The same data and filters over HTTP for code that isn't an agent.

4

Grounded answers

Every result carries source_url and retrieved_at so the agent can cite and you can verify.

5

Usage and limits

Per-key rate limits, logs of which tools agents call, and alerts on unusual usage.

6

Internal data MCP

Need an MCP server over your own database or docs? We design and build it, with the same tool discipline.

A tool your agent can actually use

Narrow tools with typed results beat a generic browse tool: faster, cheaper and easy to verify.

ToolInputReturns
get_pricessku, retailers?price rows + source_url
price_historysku, daysdaily series
list_changescompetitor, sincechange events + diffs
feed_status—last run, rows, health
                                // tools/call  →  get_prices
{
  "sku": "HX-2041-BLK",
  "results": [{
    "retailer": "shop-b.example",
    "price": 124.95, "currency": "USD",
    "in_stock": true,
    "source_url": "https://shop-b.example/p/hx2041",
    "retrieved_at": "2026-11-06T06:02:41Z"
  }],
  "feed_freshness": "PT4H"
}
                            

Illustrative example. Your schema is agreed with you.

What teams use it for

Sales and support copilots

Current competitor prices and plan limits answered inside the assistant your team already uses.

Pricing agents

Agents that propose price changes from fresh market data, with sources attached for approval.

Research assistants

Analysts asking a curated, refreshed dataset instead of the open web.

Product features

Ship an AI feature on top of a reliable data source rather than live scraping in production.

Agents build. A QA gate decides what ships.

How it works
  1. 1

    Scope

    We map the sources, the fields and the most reliable way to get each one, and send you a fixed quote.

  2. 2

    Agents build

    Coding agents write extractors against your schema and test them on live pages. A person reviews the change.

  3. 3

    QA gate

    Every run passes deterministic checks, then an independent model spot-checks a sample. Failures go back, not out.

  4. 4

    Run and monitor

    Plain code runs the feed on schedule. When a site changes we are alerted, an agent drafts the fix, we review it.

Questions we get

Something else? Ask us directly.

Which assistants can connect?

Anything that speaks the Model Context Protocol: Claude, ChatGPT, Cursor, and most agent frameworks. We also provide a plain REST API for code and tools that do not use MCP.

Why not let the agent browse the web directly?

Browsing agents complete only part of real-web tasks, cost cents per page and get blocked increasingly often. A tool over a maintained dataset answers in milliseconds, consistently, with a source.

How do you secure the server?

Per-client credentials (OAuth or API keys), read-only tools, rate limits, input validation and logs. Tools only expose the data in your feed.

Can you build an MCP server over our internal data?

Yes. We design the tools, build the server and hand it over or host it. It is quoted as a project.

Get a free 100‑row sample

Tell us what you need to track. Within 2 business days you'll get a sample, the sources we'd use and a fixed price, or an honest note that an off-the-shelf tool will do.

  • Sample and fixed quote in 2 business days
  • Source URL and timestamp on every row
  • No commitment, no sales sequence

Prefer email? [email protected]

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