Point-in-time drug pipelines, survivorship-complete base rates, program trajectories, and target landscapes — every asset cited to the 10-K that disclosed it.
One protocol — bring it to the assistant you already use
One question. Your AI composes the tools and returns a cited answer.
Reconstruct BridgeBio's pipeline as it was knowable at the end of 2020.
What fraction of programs targeting TTR have historically succeeded?
Map the competitive landscape for PD-1 inhibitors.
Give me a composite risk score for this biotech as of Q2 2024.
Reconstruct a biotech's pipeline as of any date — assets, phases, and indications as they were knowable then.
Success rates computed with discontinued and delisted programs in the denominator.
Phase transitions, advances, and discontinuations across 17,296 reconstructed program histories.
Who's developing what, at which phase — with canonical gene/target resolution.
One risk number per company and date, from XBRL × 13F × extraction × an out-of-sample harness.
The same trust contract every server in the family follows.
What was actually knowable on a date — no hindsight. Real backtests, not leakage.
The failures are in the denominator, not just the winners the model remembers.
Every number carries its filing and snippet. NULL means unknown, never invented.
SEC filings, 13F, N-PORT, ADV, and funding rounds — live, past any training cutoff.
Pipeline reconstruction, base rates, and comparable setups — failures counted.
Target landscapes and trajectories across 1,676 biotech CIKs, cited.
A composite, methodology-stated risk number for sizing and catalyst events.
Paste the endpoint into your client's connector settings. Sign in with your allowlisted email — access is by invitation.
https://mcp-bio.kscope.io/mcp/
Works with Claude (desktop & web), Claude Code, Cursor, and any MCP client over HTTP. On first use your client opens a sign-in tab — enter your email for a one-time link.
Request a demo and we'll show you cited, point-in-time biotech pipelines answers in your own AI client.
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