com.peopleanalyst/discovery

Tools

• get_answer

  Returns one authored /answers page as structured content: question, markdown answer body (short answer, problem frame, evidence, grounded sources), and citations with libraryId or url. Known slugs (33): measure-employee-performance, survey-validity-check, people-analytics-program-maturity, people-analytics-vs-hr-reporting, engagement-survey-vs-listening-diagnostic, people-analytics-tools-compare, beyond-annual-engagement-survey, replace-gut-feel-talent-decisions, ….

  shallow
• get_brandscripts

  Per-persona StoryBrand arguments for each product. The persona-level argument layer (SB7-shaped): the major problem solved for a persona and what the solution looks like. ?product / ?persona filter; ?status opts into drafts.

  shallow
• get_canonical_forms

  The canonical form vocabulary — the structural primitive. 7 data shapes and the 33 canonical forms they resolve to. The form is why one engine reads compensation, attrition, funnels and survey data without a per-domain rewrite: the domain is in the metric tag, the structure is here. 'oftenMeans' is a labelled heuristic, never a conclusion.

  shallow
• get_claim_warrant

  How many works discuss a claim — discourse volume, with the works named. For a construct pair mined from the book corpus: how many distinct works discuss the link, and which ones, with each work's stated rationale. ⚠ This is DISCOURSE, not evidence — book frequency is confounded by publication incentives, fashion and citation cascades, so it is reported as 'discussed in N works' and never as corroboration, confidence, or a score. Single-work claims are returned, labelled as such; corroboration is not a gate. No query returns corpus-level stats including a counting discrepancy we state openly.

  shallow
• get_insight_cards

  A pitch rendered as player-ready InsightCards. Serves a named pitch as an ordered InsightCard[] (the cross-site insight-player contract). ?pitch selects the pitch; ?awareness optionally reshapes the sequence for the buyer's awareness state.

  shallow
• get_library_ids

  Library id export — stable ids for the works homed here. Batch export of library_id rows (id, title, author, year, property tags) for the works that home on peopleanalyst.com. Ids are content-addressed (SHA-256 of normalized title|authors|year) and stable across repos, so a consumer can join to this catalog without string matching. Scoped to works homed here — titles whose canonical home is another property are excluded, matching /library.

  shallow
• get_marketing_registry

  The Pitboss marketing-asset registry (typed cards + personas). Cross-site marketing-asset cards built from the portfolio's brandscripts and proofs, plus the persona set. ?product filters to one product; ?status filters by lifecycle.

  shallow
• get_membership_offer

  Returns the people analytics chapter of the Bicycle Cooperative membership offer: five options (enterprise member, practitioner member, worker, practitioner rent, enterprise rent) with chapter substitution applied and this front's join URL.

  shallow
• get_product_description

  Machine-readable description of each PeopleAnalyst product. Versioned, CORS-open descriptions of every product in the portfolio — name, category, oneLiner, problemFrames, capabilities, beachheads, whenNotToUse (honest disqualifiers), canonicalUrls, relatedProducts. Assembled from canon. Pass ?product to filter.

  shallow
• get_scene_templates

  Falsifiable scene templates — one claim plus what would make it false. The cards a story is told with. Each declares truth conditions the data can falsify, so a claim survives on evidence rather than assertion. Persona relevance is derived from focus (a stated heuristic). Drafts excluded unless ?status=all.

  shallow
• get_situations

  Demonstration scenarios (discovered → diagnosed → solved). The proof layer paired with brandscripts: concrete situations a product resolves. ?product filters; ?status opts into drafts.

  shallow
• get_story_tracks

  Pre-authored data-story tracks — the possibility space. Complete data stories: the SB7 argument, the acts and beats that carry it, the branches it forks down, the decision it produces, and the data required to test it. Candidates only — nothing here asserts a story is true of any organisation; that is decided against data. ?persona / ?problem / ?metric / ?slug filter.

  shallow
• get_tools

  The PeopleAnalyst tool catalog (each answer reports its grounding). Machine-readable catalog of acting tools — name, category, what it does, inputs/outputs, concrete use cases, the profile URL, and how to run it (auth-gated REST + MCP). Each Bicycle answer reports provenance.grounding. Production currently reports grounded: false (HO-2512); approach strings describe the designed product, not the last production run. Discovery is open (find + cite the tools); execution is API-key gated. ?category filters by family; ?slug returns one tool.

  shallow
• list_answers

  List every query-shaped answer. Returns every authored /answers page as a lightweight list: slug, title, question, canonicalUrl, updatedAt. Use get_answer(slug) for the full markdown body and citations.

  shallow
• list_peopleanalyst_feeds

  List PeopleAnalyst's free machine-readable feeds and their MCP/REST availability. OpenAPI is also published at https://peopleanalyst.com/openapi.json.

  shallow
• plan_next_data_ask

  What data to ask for next, and what it would rule out. The acquisition planner. Given which data-stories are still candidates, returns the single most efficient next question, the full ranked list, and the minimum set of asks that makes every live story testable — split into what can be sent today versus what needs legal review. Ranked by information-per-friction: how evenly an answer splits the live hypothesis set (computed by entropy from the discrimination matrix, never hand-asserted) divided by a cost in which GOVERNANCE outweighs effort. Absent priors all live stories weigh equally, so results reflect structure, not likelihood. GET accepts ?live=, ?have=, ?lack= as comma lists.

  shallow
• run_segmentation

  Behavioral segmentation, role discovery, and exemplar matching. Deterministic segmentation over caller-supplied numeric vectors: cluster subjects, discover roles from behaviour + relationship edges, detect emergent roles, or match against exemplars. Structured non-biometric signals only — no audio, video, or affect inference. The caller supplies all data; nothing is retained. Capped at 5,000 rows per request.

  shallow

Embed this server’s score

Tool count and median score across every tool in this server’s corpus — honest in a way a single cherry-picked tool’s badge wouldn’t be.

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