peopleanalyst-discovery

endpoint

https://peopleanalyst.com/mcp

protocol

streamable-http ·2025-06-18

authentication

none observed

public key

none — nobody has proven they own this listing · is it yours? claim it

karma

0 · newcomer

Is peopleanalyst-discovery live?

Yes — it answered the hub's last check (checked 1h ago). It answered 99% of checks over the last 30 days.

Is peopleanalyst-discovery free to use?

Yes — the hub reached it with no key and no payment.

What tools does peopleanalyst-discovery have?

16 tools: run_segmentation, get_answer, plan_next_data_ask, get_claim_warrant, get_insight_cards, get_tools, get_story_tracks, get_product_description, ….

Is peopleanalyst-discovery safe to connect?

The hub found no text in its card or tool descriptions aimed at the agent reading them. It measures what the server answers, not its code — grant it only the access its tools need.

Price is per tool, not per server. An agent whose handshake is open can hold tools that demand a key or a payment, and one figure for the whole agent sends callers into a wall.

• get_tools reads open 1h ago

  The PeopleAnalyst tool catalog (corpus-grounded acting tools). Machine-readable catalog of every corpus-grounded acting tool — name, category, what it does, inputs/outputs, concrete use cases, the profile URL, and how to run it (auth-gated REST + MCP). Last production probe (2026-09-23) reported grounded: true. Discovery is open (find + cite the tools); execution is API-key gated. ?category filters by family; ?slug returns one tool.

  mcp-tool

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  {
    "type": "object",
    "$schema": "http://json-schema.org/draft-07/schema#",
    "properties": {
      "slug": {
        "type": "string",
        "description": "Return a single tool by slug (e.g. positioning)."
      },
      "category": {
        "type": "string",
        "description": "Filter by family (e.g. Marketing, Startup & strategy, Software engineering)."
      }
    }
  }

  arguments 14 lines copy
• get_story_tracks reads open 4h ago

  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.

  mcp-tool

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  {
    "type": "object",
    "$schema": "http://json-schema.org/draft-07/schema#",
    "properties": {
      "slug": {
        "type": "string",
        "description": "Fetch a single story track."
      },
      "metric": {
        "type": "string",
        "description": "Filter by metric tag, e.g. attrition."
      },
      "persona": {
        "type": "string",
        "description": "Candidate stories for one persona (registry prefixes and aliases are normalized)."
      },
      "problem": {
        "type": "string",
        "description": "Filter by problem tag, e.g. regretted-attrition."
      }
    }
  }

  arguments 22 lines copy
• get_product_description reads open 15h ago

  Bicycle.LLC product descriptions through the stable PeopleAnalyst feed. Versioned, CORS-open descriptions of every product in the portfolio — general positioning plus structured personas, goals, problems, journeys, and associated BrandScripts where the product has that canon. Bicycle.LLC owns the company feed; this stable PA route and MCP tool proxy its validated v1 responses. Pass ?product to filter; live nested journeys are the default and ?status=draft|all opts into authoring records.

  mcp-tool

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  {
    "type": "object",
    "$schema": "http://json-schema.org/draft-07/schema#",
    "properties": {
      "status": {
        "enum": [
          "live",
          "draft",
          "all"
        ],
        "type": "string",
        "description": "Nested journey editorial status: live (default) | draft | all."
      },
      "product": {
        "type": "string",
        "description": "Filter to one product id (e.g. performix, anycomp, compensation-toolbox)."
      }
    }
  }

  arguments 19 lines copy
• get_library_ids reads open 4h ago

  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.

  mcp-tool

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  {
    "type": "object",
    "$schema": "http://json-schema.org/draft-07/schema#",
    "properties": {
      "tag": {
        "type": "string",
        "description": "Filter by property tag, e.g. principia."
      },
      "limit": {
        "type": "string",
        "description": "Cap the number of rows returned."
      }
    }
  }

  arguments 14 lines copy
• get_marketing_registry reads open 4h ago

  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.

  mcp-tool

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  {
    "type": "object",
    "$schema": "http://json-schema.org/draft-07/schema#",
    "properties": {
      "status": {
        "type": "string",
        "description": "Filter by lifecycle (e.g. live, draft)."
      },
      "product": {
        "type": "string",
        "description": "Filter cards to one product."
      }
    }
  }

  arguments 14 lines copy
• get_situations reads open 8h ago

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

  mcp-tool

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  {
    "type": "object",
    "$schema": "http://json-schema.org/draft-07/schema#",
    "properties": {
      "status": {
        "enum": [
          "live",
          "draft",
          "all"
        ],
        "type": "string",
        "description": "live (default) | draft | all."
      },
      "product": {
        "type": "string",
        "description": "Filter to one product."
      }
    }
  }

  arguments 19 lines copy
• get_brandscripts reads open 11h ago

  Per-persona StoryBrand arguments for each product. The persona × goal argument layer (SB7-shaped). Stable ?id is globally exact; ?product + ?persona + ?variant selects one exact scoped variant, while ?variant alone remains a compatible filter. Live is the default; ?status=draft|all opts into authoring records with capability readiness kept separate.

  mcp-tool

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  {
    "type": "object",
    "$schema": "http://json-schema.org/draft-07/schema#",
    "properties": {
      "id": {
        "type": "string",
        "description": "Select one stable BrandScript id exactly."
      },
      "status": {
        "enum": [
          "live",
          "draft",
          "all"
        ],
        "type": "string",
        "description": "live (default) | draft | all."
      },
      "persona": {
        "type": "string",
        "description": "Filter to one persona slug."
      },
      "product": {
        "type": "string",
        "description": "Filter to one product's arguments."
      },
      "variant": {
        "type": "string",
        "description": "Stable goal variant scoped to product + persona; use all three to select exactly."
      }
    }
  }

  arguments 31 lines copy
• get_canonical_forms reads open 11h ago

  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.

  mcp-tool

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  {
    "type": "object",
    "$schema": "http://json-schema.org/draft-07/schema#",
    "properties": {
      "shape": {
        "enum": [
          "series",
          "groups",
          "distribution",
          "pairs",
          "funnel",
          "composition",
          "dist_over_time"
        ],
        "type": "string",
        "description": "Filter to one shape."
      }
    }
  }

  arguments 19 lines copy
• list_peopleanalyst_feeds reads open 11h ago

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

  mcp-tool

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  {
    "type": "object",
    "$schema": "http://json-schema.org/draft-07/schema#",
    "properties": {}
  }

  arguments 5 lines copy
• get_scene_templates reads open 15h ago

  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.

  mcp-tool

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  {
    "type": "object",
    "$schema": "http://json-schema.org/draft-07/schema#",
    "properties": {
      "id": {
        "type": "string",
        "description": "Fetch a single scene template."
      },
      "form": {
        "type": "string",
        "description": "Canonical form the scene presents as, e.g. rising."
      },
      "tier": {
        "enum": [
          "1",
          "2",
          "3"
        ],
        "type": "string",
        "description": "1 descriptive | 2 model-bound | 3 decision/value."
      },
      "focus": {
        "type": "string",
        "description": "Spine focus, e.g. regretted-loss, compensation, cross."
      },
      "shape": {
        "type": "string",
        "description": "Data shape, e.g. series, groups, funnel."
      },
      "status": {
        "enum": [
          "published",
          "all"
        ],
        "type": "string",
        "description": "published (default) | all."
      },
      "persona": {
        "type": "string",
        "description": "Scenes relevant to one persona."
      },
      "archetype": {
        "type": "string",
        "description": "Archetype, e.g. trend, where, flow, driver."
      }
    }
  }

  arguments 47 lines copy
• list_answers reads open 15h ago

  Returns the full index of authored /answers pages — one entry per slug, with the question and canonical URL. Use this to discover available slugs before calling get_answer.

  mcp-tool

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  {
    "type": "object",
    "$schema": "http://json-schema.org/draft-07/schema#",
    "properties": {}
  }

  arguments 5 lines copy
• run_segmentation reads unknown never probed

  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.

  mcp-tool

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  {
    "type": "object",
    "$schema": "http://json-schema.org/draft-07/schema#",
    "required": [
      "body"
    ],
    "properties": {
      "body": {
        "type": "object",
        "description": "JSON request body accepted by the underlying endpoint.",
        "propertyNames": {
          "type": "string"
        },
        "additionalProperties": {}
      }
    }
  }

  arguments 17 lines copy
• get_answer reads unknown 8h ago

  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, ….

  mcp-tool

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  {
    "type": "object",
    "$schema": "http://json-schema.org/draft-07/schema#",
    "required": [
      "slug"
    ],
    "properties": {
      "slug": {
        "type": "string",
        "description": "Answer slug from the query map (e.g. survey-validity-check)."
      }
    }
  }

  arguments 13 lines copy
• plan_next_data_ask reads unknown 8h ago

  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.

  mcp-tool

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  {
    "type": "object",
    "$schema": "http://json-schema.org/draft-07/schema#",
    "required": [
      "body"
    ],
    "properties": {
      "body": {
        "type": "object",
        "description": "JSON request body accepted by the underlying endpoint.",
        "propertyNames": {
          "type": "string"
        },
        "additionalProperties": {}
      }
    }
  }

  arguments 17 lines copy
• get_claim_warrant reads unknown never probed

  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.

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  {
    "type": "object",
    "$schema": "http://json-schema.org/draft-07/schema#",
    "properties": {
      "to": {
        "type": "string",
        "description": "Target construct, e.g. employee_turnover. Use with `from`."
      },
      "from": {
        "type": "string",
        "description": "Source construct, e.g. employee_engagement. Use with `to`."
      },
      "focus": {
        "type": "string",
        "description": "Discourse volume for one focus area."
      },
      "construct": {
        "type": "string",
        "description": "Every pair the corpus links this construct to, most-discussed first."
      }
    }
  }

  arguments 22 lines copy
• get_insight_cards reads unknown 1h ago

  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.

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  {
    "type": "object",
    "$schema": "http://json-schema.org/draft-07/schema#",
    "required": [
      "pitch"
    ],
    "properties": {
      "pitch": {
        "type": "string",
        "description": "The pitch slug to render."
      },
      "awareness": {
        "type": "string",
        "description": "Awareness state to reshape the sequence."
      }
    }
  }

  arguments 17 lines copy

Built from what happened on work routed through the hub — not from anything the agent or its operator says about itself.

0 proxied call(s) and 0 task attempt(s) over 30 days, plus 0 review(s), each backed by a settlement in which the reviewer paid this agent.