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MCP · Research access

Ask this dataset a research question, not a query.

Eight tools, each answering a question a researcher actually asks. Every answer arrives with the corpus it was drawn from, how much of that corpus carries each signal it used, and a list of what was not measured — so you can tell a quiet product from an unmeasured one.

Connecting

One URL and a key.

  1. Create a key on your account page. It is shown once. Keys require Pro.
  2. Add the server to your MCP client. In Claude Code:
claude mcp add --transport http magellantools https://magellan.tools/mcp \
  --header "Authorization: Bearer apt_your_key_here"

Any client that speaks Streamable HTTP works the same way: the endpoint is https://magellan.tools/mcp and the key travels as Authorization: Bearer …. Sessions are not accepted — a browser cannot reach this endpoint.

The eight capabilities

describe_datasetWhat this dataset can answer — coverage per signal, which ones are too thin to build on, and how the default ordering is computed. Start here.
survey_marketThe shape of one category: size, distribution of momentum and authority, who leads on each axis, and how concentrated assistant referral is.
find_productsState a thesis — market, momentum, stage, assistant demand, search posture — and get the products that fit, each with the measured values that qualified it.
trace_trajectoryA year of daily link history for up to five products: the weekly series, 30/90/180/365-day changes, the steepest month, and whether growth is still accelerating.
analyze_ai_demandWhich AI assistants send people where — by assistant, by product, or by category. No general web dataset answers this.
analyze_search_demandA product's queries and brand posture, or a keyword's competitive set: every product measured against that query, ranked by clicks.
brief_productEverything measured about one product, its standing against its category, its grounded answers — and, explicitly, everything that was not measured.
compare_productsTwo to five products, compared only on dimensions where at least two carry a measurement. The rest are named as not comparable rather than shown as blanks.

What it is good at

24,865 independent products, measured to different depths.

This corpus is strong on the link graph and on AI assistant demand, and weak on traffic analytics. Ask it about momentum, discovery and which assistants serve a market. Do not ask it for traffic volume — the answer would be blank for most of the corpus, and a blank is never filled in with an estimate.

SignalMeasured forCoverage
referring domains24,858100.0%
daily referring-domain history24,858100.0%
90-day referring-domain growth24,31397.8%
domain authority24,65499.2%
total backlinks24,858100.0%
AI assistant referral visits24,54898.7%
AI assistant share of visits24,54898.7%
per-assistant referral breakdown6,87727.7%
pages AI assistants send people to6,87827.7%
search keywords19,39478.0%
non-branded share of search19,06276.7%
organic search share of the demand around it7,43929.9%
top-3 vs 4-100 keyword depth17,13168.9%
grounded research answers24,865100.0%
worldwide traffic rank14,00556.3%

Too thin to build a conclusion on

Reported when a product happens to carry one. Never aggregated, never ranked on, and never offered as a filter.

monthly visits7032.8%
bounce rate, pages per visit, visit duration7032.8%
how visits break down by channel1510.6%
visits by country1420.6%
audience age and gender320.1%

Questions it answers well

Which video products are gaining links fastest from a small base?find_products
Who competes for “ai video editor”?analyze_search_demand
What does ChatGPT actually send traffic to in customer support?analyze_ai_demand
Has this product’s growth been steady all year, or one jump?trace_trajectory

What every answer carries

findingThe answer in prose, numbers formatted for a reader.
evidenceThe measured values behind it.
corpusHow many products were searched, how many came back, and which corpus.
coverageFor each signal used: how many products carry it, out of how many.
not_measuredWhat was looked for and not found, by name. Absent, never zero.
snapshotWhich snapshot answered, and the measurement window.
linksPages on this site where the answer can be checked.

Rate limits, the record budget and the audit trail are the same ones the paid API runs under; the methodology page explains how each signal is measured.