performix-site

endpoint

https://performix.app/api/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 performix-site live?

Yes — it answered the hub's last check (checked 20m ago). It answered 99% of checks over the last 30 days.

Is performix-site free to use?

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

What tools does performix-site have?

10 tools: get_evidence_source, get_guide_part, get_outcome_model, situation_demo_get, list_books, self_diagnose_book, get_book, list_evidence_sources, ….

Is performix-site 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.

• list_evidence_sources reads open 19h ago

  List the 196 source records behind Performix's Performance Science Library — each a book, paper or corpus item with at least one derived finding, plus which CAMS dimensions (capability/alignment/motivation/support) its findings touch. Same source list rendered at performix.app/learn/evidence. NOTE: 132 of 196 sources carry an upstream placeholder citation title pending backfill (HO-2431) — check `citationPlaceholder` before treating `title`/`venue` as a real bibliographic record. Optional `query` filters by a case-insensitive substring over authors/title/venue; optional `camsDimension` filters to sources with at least one finding filed on that dimension.

  mcp-tool

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  {
    "type": "object",
    "$schema": "http://json-schema.org/draft-07/schema#",
    "properties": {
      "query": {
        "type": "string",
        "description": "Case-insensitive substring filter against authors/title/venue."
      },
      "camsDimension": {
        "enum": [
          "capability",
          "alignment",
          "motivation",
          "support"
        ],
        "type": "string",
        "description": "Restrict to sources with at least one finding filed on this CAMS dimension."
      }
    }
  }

  arguments 20 lines copy
• list_guide_parts reads open 19h ago

  List all 12 parts (8 numbered parts + 4 appendices) of the Team Performance Science Guide, Performix's cited public reference on why team performance varies and the CAMS diagnostic frame — same table of contents rendered at performix.app/learn. Each row carries `status` (live | draft | stub) so a caller can see which parts are actually publishable before calling get_guide_part.

  mcp-tool

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

  arguments 5 lines copy
• list_outcome_models reads open 19h ago

  List the constructed outcome-model register behind Performix diagnostics — 28 per-outcome factor models generated from principia's meta-analytic library, each with its driver count, grade-A driver count, CAMS filing counts, and persona reach. Same register rendered at performix.app/learn/models. Also returns `namedUnmodellable` — outcomes named in the catalog with no constructed model yet. MEASUREMENT-INTEGRITY (PFX-589): this list carries no effect sizes at all; call get_outcome_model for a driver table, which withholds `r` below evidence tier T3 exactly as the public page does.

  mcp-tool

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

  arguments 5 lines copy
• get_evidence_source reads unknown 5h ago

  Get the full source → finding → construct → survey-item evidence chain for one source by id (from list_evidence_sources): its citation, every finding extracted from it, the constructs derived from each finding, and the survey items derived from each construct. Same content rendered at performix.app/learn/evidence/<id>. HONESTY: the citation is exposed as-is, including the 132 sources still carrying a placeholder title (HO-2431) — `citationPlaceholder` says which.

  mcp-tool

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  {
    "type": "object",
    "$schema": "http://json-schema.org/draft-07/schema#",
    "required": [
      "id"
    ],
    "properties": {
      "id": {
        "type": "string",
        "description": "Source id, e.g. source.corpus.aguinis_2019 (from list_evidence_sources)."
      }
    }
  }

  arguments 13 lines copy
• get_guide_part reads unknown 5h ago

  Get the full body of one Team Performance Science Guide part by slug (from list_guide_parts). Same content rendered at performix.app/learn/<slug>. A part whose `status` is `stub` has no publishable body yet and returns an error rather than a placeholder — check `list_guide_parts`' `status` field first if you want to skip those.

  mcp-tool

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  {
    "type": "object",
    "$schema": "http://json-schema.org/draft-07/schema#",
    "required": [
      "slug"
    ],
    "properties": {
      "slug": {
        "type": "string",
        "description": "Guide part slug, e.g. part-2-capability (from list_guide_parts)."
      }
    }
  }

  arguments 13 lines copy
• get_outcome_model reads unknown 5h ago

  Get one outcome's full driver table by id (from list_outcome_models): every driver's name, definition, CAMS dimension, lens role, evidence grade, study count (k), and evidence-reliability tier — plus drivers cited in the corpus with no meta-analytic effect size, and the personas that own this outcome. Same content rendered at performix.app/learn/models/<id>. MEASUREMENT-INTEGRITY (PFX-589, a portfolio standing rule): a driver's `r` is null unless its tier is T3 — this tool withholds exactly what the public page withholds and nothing less; VOI figures and overlap-corrected variance contributions are never exposed by this tool at any tier.

  mcp-tool

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  {
    "type": "object",
    "$schema": "http://json-schema.org/draft-07/schema#",
    "required": [
      "id"
    ],
    "properties": {
      "id": {
        "type": "string",
        "description": "Outcome id, e.g. quota_attainment (from list_outcome_models)."
      }
    }
  }

  arguments 13 lines copy
• situation_demo_get unknown 15h ago

  Get a committed situation-demo export for an outcome and audience seat. The data is synthetic and illustrative, never a real client or live measurement. Visual series may be trimmed to stay within the response-size budget.

  mcp-tool

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  {
    "type": "object",
    "$schema": "http://json-schema.org/draft-07/schema#",
    "required": [
      "situation",
      "seat"
    ],
    "properties": {
      "seat": {
        "enum": [
          "executive",
          "manager",
          "coach"
        ],
        "type": "string"
      },
      "situation": {
        "enum": [
          "sales-quota-tail-blame-effort",
          "customer-service-sla-green-csat-sliding",
          "engineering-platform-attrition"
        ],
        "type": "string"
      }
    }
  }

  arguments 26 lines copy
• list_books reads unknown never probed

  List the performance-science reading corpus behind Performix — book/cluster profiles, each with a stance toward the CAMS diagnostic thesis (ally, orthodoxy, mixed, leave-out) and a one-line argument summary. Optional `query` filters by a case-insensitive substring match against title, authors, tradition and blurb.

  mcp-tool

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  {
    "type": "object",
    "$schema": "http://json-schema.org/draft-07/schema#",
    "properties": {
      "query": {
        "type": "string",
        "description": "Case-insensitive substring filter against title/authors/tradition/blurb."
      }
    }
  }

  arguments 10 lines copy
• self_diagnose_book reads unknown never probed

  The runnable library's weakest-lever read, computed here from the committed book model: rate how present each of the book's levers is on your team (1–5) and get the one to work on first, ranked by weakness then causal leverage — the SAME function performix.app/learn/library uses. Levers come from list_books' exec-shelf slugs (e.g. the-culture-code). N=1, self-report, not psychometrically calibrated: tier INFERRED. Refuses degenerate ratings (fewer than two levers rated, all ratings equal, or values outside 1–5) instead of inventing an answer.

  mcp-tool

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  {
    "type": "object",
    "$schema": "http://json-schema.org/draft-07/schema#",
    "required": [
      "slug",
      "ratings"
    ],
    "properties": {
      "slug": {
        "type": "string",
        "description": "Exec-shelf book slug, e.g. the-culture-code."
      },
      "ratings": {
        "type": "object",
        "description": "Lever id → rating 1..5 (lever ids come from the book's model constructs; rate at least two).",
        "propertyNames": {
          "type": "string"
        },
        "additionalProperties": {
          "type": "number"
        }
      }
    }
  }

  arguments 24 lines copy
• get_book reads unknown never probed

  Get the full grounded profile for one book/cluster record by slug (from list_books): the record's own argument (contrast-not-summary) plus metadata and cross-links. Same content rendered publicly at performix.app/learn/books/<slug>.

  mcp-tool

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  {
    "type": "object",
    "$schema": "http://json-schema.org/draft-07/schema#",
    "required": [
      "slug"
    ],
    "properties": {
      "slug": {
        "type": "string",
        "description": "Book slug, e.g. aguinis-performance-management."
      }
    }
  }

  arguments 13 lines copy

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