peer-bench-med

Methodology inspired by publicly taught peer-comparison frameworks; all text is an original paraphrase.

Defaults

Parameter	Default Value	Rationale
peer_count	4-6	Comparable-set size standard for comps
peer_logic	indication/drug overlap first	Med peers are defined by science, not SIC codes
include_med_metrics	true	Pipeline depth, catalyst density, cash runway

Preflight

Run canonical pre-flight per contracts/preflight.md. Include the X-Agentii-Trace header on every tool call per contracts/x-agentii-trace-header.md — carry the _run_id from your first tool result and name yourself (and your parent, if you were spawned).

Never fabricate a peer metric when the data surface is absent — annotate coverage_gap instead (spec 055 FR-B02 discipline).

Triggers

• "Who are the closest peers to [biotech ticker]?"
• "Benchmark [ticker] against its biotech comp set."
• "How does [ticker]'s valuation compare to peers?"
• "Which names compete with [ticker]'s pipeline?"
• "Build a peer table with pipeline depth and cash."
• "Is [ticker] expensive relative to its med peers?"
• "Compare margins across the pharma peer group."
• "What are the catalyst-dense names in this peer set?"
• "Peer analysis for [ticker] with indication overlap."
• "Which peers have the strongest balance sheets?"
• "Which same-mechanism competitors matter for [ticker]'s pipeline?"

Production Grounding

• Med peers are science-defined: use get_company_drugs to find indication/therapy overlap before financial comparison.
• Launch-analog selection: for commercial-stage names, match same-class (mechanism/indication class) + same-channel (specialty/retail/hospital/device-rep/vaccine-procurement) analogs so launch trajectories compare like-for-like.
• Mechanism-overlap scoring: rank candidate peers by shared targets/indications via the drug-knowledge reverse lookups; where sources conflict, keep both values with provenance.
• Med-relevant metrics: pipeline assets by phase, catalyst density (PDUFA/AdCom/trial readouts), cash runway (quarters), R&D productivity; generic margins only as secondary.
• Grounding frameworks: references/knowledge-frameworks.md (道/法 review knowledge + valuation lenses).

Data Source Priority

1. get_company_drugs / search_companies — peer discovery by drug/indication overlap.
2. search_drugs_by_target / search_drugs_by_indication — mechanism competitor mapping + overlap scoring (054 silver reverse lookups).
3. get_financial_ratios / search_xbrl_facts — financial comparison data.
4. get_peer_comparison — platform pre-computed peer metrics.
5. Knowledge layer: search_investment_cases/search_by_analogue for historical peer dynamics + launch analogs.

Methodology

Retrieval Scope

structured_only

Retrieval Strategy

1. Resolve the target via get_company_profile; pull its drugs (get_company_drugs).
2. Find peers by indication/therapy overlap + med industry membership (search_companies).
3. Map mechanism competitors: search_drugs_by_indication / search_drugs_by_target per key indication/target; score peers by shared targets/indications (conflicting sources shown with provenance).
4. Match launch analogs for commercial-stage names: same-class + same-channel; retrieve analog launch history via knowledge tools.
5. Pull per-peer financials (get_financial_ratios) + valuation context.
6. Ground with historical cases/analogues via knowledge tools.

Temporal Scope

See frontmatter temporal_scope block.

Tool Allowlist

See frontmatter allowed_tools.

Protocol

1. Target profile
2. Science-based peer selection (indication/drug overlap)
3. Mechanism-overlap scoring (reverse lookups)
4. Launch-analog matching (same-class, same-channel)
5. Med-metric comparison
6. Valuation & risk synthesis

Modes

• Science-based (default): indication/drug-overlap peers.
• Launch-analog (commercial-stage): same-class, same-channel analog peers with launch-trajectory context.
• Financial: margin/valuation peers within the same industry.
• Catalyst: peers ranked by upcoming FDA events.

Tool Fallbacks

Failure	Fallback
get_company_drugs empty	Fall back to industry peers via search_companies; annotate
Reverse lookups empty	Score overlap from get_company_drugs classes only; annotate mechanism mapping unavailable
get_peer_comparison empty	Build comparison manually from get_financial_ratios
Knowledge tools empty	Proceed with structured data only

Output File

{ticker}/{YYYY-MM-DD_HHMM}_peer-bench-med_{affix}.md

Output Structure

1. Executive Summary — relative standing in 2-3 sentences
2. Peer Selection — peers + selection logic (science overlap)
3. Mechanism Overlap — target/indication overlap matrix from reverse lookups, scored by shared mechanisms; conflicting source values shown with provenance
4. Launch-Analog Match — same-class, same-channel analogs (commercial-stage names)
5. Comparison Table — med metrics + financials + valuation
6. Historical Context — cases/analogues with /v/ citations
7. Risk Assessment — concentration/catalyst risks
8. Coverage Gaps — missing data flags

Error Handling

Error	Fallback
No indication overlap found	Widen to same-industry peers; flag science-overlap unavailable
Mechanism data missing	Score from indication overlap only; flag reverse-lookup coverage gap
Missing financials	Mark N/A in table; do not fabricate

Memory Load

See contracts/memory-load.md.

Snapshot

See contracts/snapshot-synthesis.md.

Final Summary (TUI)

Include ### Key Citations block with 0-10 clickable /v/ URLs.

References

• contracts/citation-and-memory.md
• contracts/output-frontmatter-schema.md
• contracts/memory-load.md
• contracts/snapshot-synthesis.md
• contracts/preflight.md
• references/knowledge-frameworks.md