_ registry / mcp streamable-http · checked 5h ago

MCP Analytics

https://api.mcpanalytics.ai

Registry code: 877b2d437464c839

api record

DISCOVERY MODE: no API key detected, so this connection can BROWSE but not RUN.

You can call: tools/list (see what is available), ping.

endpoint
https://api.mcpanalytics.ai/mcp/api-key
protocol
streamable-http ·2024-11-05
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0 · newcomer
_ is it live, free and safe measured by this hub
Is MCP Analytics live?
Yes — it answered the hub's last check (checked 5h ago). It answered 99% of checks over the last 30 days.
Is MCP Analytics free to use?
Not anonymously — it asks for a key or a login before it will serve. Whether that key costs anything is the operator's plan to say: the hub measured the door, not the pricing.
What tools does MCP Analytics have?
27 tools: path_answer, about, datasets_list, path_resolver, path_bespoke, path_rerun, account_link, datasets_upload, ….
Is MCP Analytics 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.
reachable
live
uptime, 30 days
98.7%

90 days 97.4%· all time 97.4%

latency
564ms

last good check

priced tools
0

of 27 tools

_ answered our checks, 90 days 349 checks · signed record
  • degraded → live
  • live → degraded· timeout after 20000ms
  • degraded → live
  • live → degraded· timeout after 20000ms
  • down → live
_ what it is for
used for
  • upload a dataset for analysis
  • get a quick answer from data
  • commission a statistical analysis
  • run an analysis and get a report
  • schedule recurring analyses
takes → gives
data, text → data, web pages
tools
14 reads3 changes data
_ usage and payments 30 days

Calls placed through this hub's router, from its own receipts. Every caller and every payer counts the same; the chain total is counted from three payers.

accounts
0

through this hub

calls served
0

successful

paid through this hub
0 USDC

what callers paid

_ what it can do 27 tools
27 auth-required 27 of 27 classified

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.

  • path_answer auth-required never probed

    A read of the data (a total, an average, a count, the top group), computed on every row, in this response. When the question is not a read it says so and names the next step. Time: as path_resolver quotes. No key yet? Call it with objective and data (a small table, up to 200 rows): a read of that table comes back now, nothing stored. Sign-in is needed to save, re-run, or ask for more than a read.

    mcp-tool

    {
      "type": "object",
      "title": "AnswerInput",
      "required": [
        "objective"
      ],
      "properties": {
        "data": {
          "type": "array",
          "items": {
            "type": "object"
          },
          "maxItems": 200,
          "description": "WITHOUT A KEY: up to 200 rows pasted inline as flat objects, e.g. [{\"month\":\"Jan\",\"sales\":120}]. Use instead of dataset_ref."
        },
        "objective": {
          "type": "string",
          "title": "Objective",
          "maxLength": 4000,
          "minLength": 3,
          "description": "the question, in the person's words"
        },
        "dataset_ref": {
          "type": "string",
          "title": "Dataset Ref",
          "maxLength": 512,
          "minLength": 1,
          "description": "the dataset: the `usage` value from datasets_list (uuid://ID or uuid://ID:KEY), or its id, for a dataset the caller owns or the platform sample"
        },
        "resolution_id": {
          "type": "integer",
          "description": "The resolution_id from path_resolver's path_input. Pass path_input as given."
        }
      },
      "description": "A read of the data computed on every row, in this response. Free. Abstains (immediate=false) when the question\nis not a read; it never guesses.",
      "additionalProperties": false
    }
    arguments 37 lines
  • about reads auth-required 4d ago

    Platform documentation and info: how it works (Answer, Analytics, Custom Analytics), usage.

    mcp-tool

    {
      "type": "object",
      "required": [
        "topic"
      ],
      "properties": {
        "topic": {
          "type": "string",
          "description": "Topic: platform, manual, connectors, or a docs section"
        }
      }
    }
    arguments 12 lines
  • datasets_list auth-required never probed

    List and search your uploaded datasets, with fuzzy matching on name, description, and tags. Returns each dataset's uuid:// reference (the `usage` field) for use as dataset_ref in path_resolver and path_tool_run. The id alone ('uuid://dsv2_...') also works for your own datasets and the platform sample; `dataset_key` may be null for the sample, which is normal.

    mcp-tool

    {
      "type": "object",
      "properties": {
        "limit": {
          "type": "integer",
          "default": 20,
          "description": "Max results"
        },
        "search": {
          "type": "string",
          "description": "Search by name, description, or tags"
        }
      }
    }
    arguments 14 lines
  • path_resolver auth-required never probed

    Which path a question about data should take (reuse, rerun, answer, tool_run, estimate, bespoke, ask or none), with the reason, every path's score and time, and the ready input for the path it picks. Executes nothing and charges nothing.

    mcp-tool

    {
      "type": "object",
      "$defs": {
        "MetaEntry": {
          "type": "object",
          "title": "MetaEntry",
          "required": [
            "key"
          ],
          "properties": {
            "key": {
              "type": "string",
              "title": "Key",
              "pattern": "^[a-z0-9_.-]+$",
              "maxLength": 64,
              "minLength": 1
            },
            "note": {
              "anyOf": [
                {
                  "type": "string",
                  "maxLength": 200
                },
                {
                  "type": "null"
                }
              ],
              "title": "Note",
              "default": null
            },
            "used": {
              "type": "boolean",
              "title": "Used",
              "default": true
            },
            "value": {
              "title": "Value",
              "default": null
            },
            "source": {
              "enum": [
                "stated",
                "derived"
              ],
              "type": "string",
              "title": "Source",
              "default": "stated"
            }
          },
          "description": "One piece of metadata about a question (LAT-3752; operator 2026-10-04: \"the metadata should be a list\"). The list\nis OPEN: any key is accepted. `source` says who said it: `stated` (the caller) or `derived` (the server looked it up).\nA caller can only ever produce `stated` entries; entitlement keys are read only from `derived` (meta.RESERVED).",
          "additionalProperties": false
        }
      },
      "title": "Question",
      "required": [
        "objective"
      ],
      "properties": {
        "door": {
          "enum": [
            "account",
            "mcp",
            "mailroom",
            "widget",
            "api",
            "internal"
          ],
          "type": "string",
          "title": "Door",
          "default": "api"
        },
        "meta": {
          "type": "array",
          "items": {
            "$ref": "#/$defs/MetaEntry"
          },
          "title": "Meta",
          "maxItems": 32,
          "description": "open list of {key, value}; the caller's entries are always `stated`"
        },
        "objective": {
          "type": "string",
          "title": "Objective",
          "maxLength": 4000,
          "minLength": 3,
          "description": "the question, in the person's words"
        },
        "dataset_ref": {
          "anyOf": [
            {
              "type": "string",
              "maxLength": 512
            },
            {
              "type": "null"
            }
          ],
          "title": "Dataset Ref",
          "default": null,
          "description": "absent = no data yet (the resolver asks for it)"
        }
      },
      "description": "What arrives at path_resolver from any door, after the door's own adapter has normalised it.",
      "additionalProperties": false
    }
    arguments 105 lines
  • path_bespoke auth-required never probed

    Order a custom analysis built for this data from a confirmed estimate, optionally with library tools alongside. Needs the person's yes and an idempotency key; a retry returns the first order. Time: as path_resolver quotes.

    mcp-tool

    {
      "type": "object",
      "title": "BespokeInput",
      "required": [
        "estimate_id",
        "idempotency_key"
      ],
      "properties": {
        "tool_names": {
          "anyOf": [
            {
              "type": "array",
              "items": {
                "type": "string"
              },
              "maxItems": 8
            },
            {
              "type": "null"
            }
          ],
          "title": "Tool Names",
          "default": null,
          "description": "library tools to run alongside the build"
        },
        "estimate_id": {
          "type": "string",
          "title": "Estimate Id",
          "maxLength": 128,
          "minLength": 1
        },
        "resolution_id": {
          "type": "integer",
          "description": "The resolution_id from path_resolver's path_input. Pass path_input as given."
        },
        "idempotency_key": {
          "type": "string",
          "title": "Idempotency Key",
          "maxLength": 128,
          "minLength": 8
        },
        "layout_objective": {
          "anyOf": [
            {
              "type": "string",
              "maxLength": 2000
            },
            {
              "type": "null"
            }
          ],
          "title": "Layout Objective",
          "default": null
        }
      },
      "description": "PAID. The order that includes a custom build, from a CONFIRMED estimate only. The idempotency key makes a retry\nor a double click replay the first order instead of placing a second (research: Stripe, IETF idempotency draft).",
      "additionalProperties": false
    }
    arguments 58 lines
  • path_rerun auth-required never probed

    Run a delivered analysis again, on its own dataset or a new one: the same tools and mappings, no rebuild. package_id may also be the person's own report link (a /rpt/ link or its rpt_ token) or estimate id (est_); it reruns their newest delivered package for it. Time: as path_resolver quotes.

    mcp-tool

    {
      "type": "object",
      "title": "RerunInput",
      "required": [
        "package_id"
      ],
      "properties": {
        "package_id": {
          "type": "string",
          "title": "Package Id",
          "maxLength": 128,
          "minLength": 1,
          "description": "A delivered package's id, or the person's own report link (/rpt/ link or rpt_ token) or estimate id (est_). Someone else's link is not found."
        },
        "dataset_ref": {
          "anyOf": [
            {
              "type": "string",
              "maxLength": 512
            },
            {
              "type": "null"
            }
          ],
          "title": "Dataset Ref",
          "default": null,
          "description": "absent = the package's own dataset"
        },
        "resolution_id": {
          "type": "integer",
          "description": "The resolution_id from path_resolver's path_input. Pass path_input as given."
        }
      },
      "description": "Run a delivered package again, on its own dataset or a new one. Same tools, same mappings; no rebuild.",
      "additionalProperties": false
    }
    arguments 36 lines
  • account_link reads auth-required 2d ago

    Direct link to the right account page for anything not doable in chat: billing, browser upload, report management. Hand the user the link and guide them.

    mcp-tool

    {
      "type": "object",
      "required": [],
      "properties": {
        "section": {
          "enum": [
            "home",
            "billing",
            "upgrade",
            "create",
            "upload",
            "reports"
          ],
          "type": "string",
          "description": "Where to send the user"
        }
      }
    }
    arguments 18 lines
  • datasets_upload changes data auth-required never probed

    Get your data in. Pass `data` as an array of row objects to create the dataset immediately and get a dataset_ref ready for path_resolver; omit it to get an upload link for a file only the user can reach. Add replace_ref (uuid://ID:KEY) with data to REFRESH an existing dataset in place; schedules and tools holding that reference read the new data on their next run.

    mcp-tool

    {
      "type": "object",
      "properties": {
        "data": {
          "type": "array",
          "items": {
            "type": "object"
          },
          "description": "Rows as an array of flat objects, creates the dataset in one call"
        },
        "expires_in": {
          "type": "integer",
          "default": 300,
          "description": "Token expiration in seconds"
        },
        "replace_ref": {
          "type": "string",
          "description": "uuid://ID:KEY of an existing dataset to overwrite in place with `data` (the push/refresh mode)"
        }
      }
    }
    arguments 21 lines
  • report_cards auth-required 3d ago

    Browse a delivered report's individual cards (charts, tables, insights) inline in chat.

    mcp-tool

    {
      "type": "object",
      "required": [
        "processing_id"
      ],
      "properties": {
        "processing_id": {
          "type": "string",
          "description": "The report's processing id, returned by path_tool_run or build_status"
        }
      }
    }
    arguments 12 lines
  • review_estimate reads auth-required 4d ago

    The estimate as you review it WITH the user: the question as understood, the estimated answer (sample, marked), every place and its question, the page link, a review checklist. Before path_bespoke.

    mcp-tool

    {
      "type": "object",
      "required": [
        "estimate_id"
      ],
      "properties": {
        "estimate_id": {
          "type": "string"
        }
      }
    }
    arguments 11 lines
  • agent_advisor reads auth-required 3d ago

    AI help desk: which analysis fits your question, interpreting results, fixing errors. Multi-turn.

    mcp-tool

    {
      "type": "object",
      "required": [
        "question"
      ],
      "properties": {
        "question": {
          "type": "string",
          "description": "Your question or request"
        }
      }
    }
    arguments 12 lines
  • ask_library reads auth-required 5h ago

    Ask a question across all your delivered analyses: a synthesized answer with citations back to specific reports.

    mcp-tool

    {
      "type": "object",
      "required": [
        "question"
      ],
      "properties": {
        "question": {
          "type": "string",
          "description": "Plain-language question to answer from your report library"
        }
      }
    }
    arguments 12 lines
  • tools_schema reads auth-required 4d ago

    Get an analysis's parameter schema. ALWAYS call before path_tool_run.

    mcp-tool

    {
      "type": "object",
      "required": [
        "tool_name"
      ],
      "properties": {
        "tool_name": {
          "type": "string",
          "description": "Name of the analysis"
        }
      }
    }
    arguments 12 lines
  • schedules changes data auth-required never probed

    Standing re-runs of analyses you own: action='create' (weekly/monthly against a re-runnable data reference, connector:// or an https:// link; report emailed after each run), 'list', or 'cancel'.

    mcp-tool

    {
      "type": "object",
      "required": [
        "action"
      ],
      "properties": {
        "action": {
          "enum": [
            "create",
            "list",
            "cancel"
          ],
          "type": "string",
          "description": "What to do"
        },
        "cadence": {
          "enum": [
            "weekly",
            "monthly"
          ],
          "type": "string"
        },
        "tool_name": {
          "type": "string",
          "description": "create: the analysis to schedule"
        },
        "dataset_ref": {
          "type": "string",
          "description": "create: re-runnable reference (connector:// or https://)"
        },
        "schedule_id": {
          "type": "integer",
          "description": "cancel: from action='list'"
        },
        "column_mapping": {
          "type": "object"
        }
      }
    }
    arguments 39 lines
  • reports_view reads auth-required 3d ago

    Get a shareable browser link for a report, viewable without authentication.

    mcp-tool

    {
      "type": "object",
      "required": [
        "processing_id"
      ],
      "properties": {
        "processing_id": {
          "type": "string",
          "description": "Processing ID from path_tool_run / reports_list"
        }
      }
    }
    arguments 12 lines
  • path_reuse auth-required never probed

    Hand back the report already delivered for this question on this data. Time: as path_resolver quotes.

    mcp-tool

    {
      "type": "object",
      "title": "ReuseInput",
      "required": [
        "objective",
        "dataset_ref"
      ],
      "properties": {
        "objective": {
          "type": "string",
          "title": "Objective",
          "maxLength": 4000,
          "minLength": 3,
          "description": "the question, in the person's words"
        },
        "dataset_ref": {
          "type": "string",
          "title": "Dataset Ref",
          "maxLength": 512,
          "minLength": 1,
          "description": "the dataset: the `usage` value from datasets_list (uuid://ID or uuid://ID:KEY), or its id, for a dataset the caller owns or the platform sample"
        },
        "resolution_id": {
          "type": "integer",
          "description": "The resolution_id from path_resolver's path_input. Pass path_input as given."
        }
      },
      "description": "Hand back a report already delivered on this data for this question. Re-checked at execution, never trusted\nfrom the suggestion: a report deleted or no longer the caller's is refused, not served.",
      "additionalProperties": false
    }
    arguments 30 lines
  • package_status reads auth-required 3d ago

    Read an analytics package back: status, every run under it, the report link once delivered.

    mcp-tool

    {
      "type": "object",
      "required": [
        "package_id"
      ],
      "properties": {
        "package_id": {
          "type": "string"
        }
      }
    }
    arguments 11 lines
  • reports_list reads auth-required 5h ago

    Your report library: every analysis delivered, with status and links. Pass semantic_query to search report content in plain language.

    mcp-tool

    {
      "type": "object",
      "properties": {
        "limit": {
          "type": "integer",
          "default": 10,
          "description": "Max results"
        },
        "semantic_query": {
          "type": "string",
          "description": "Natural-language search over your reports' content"
        }
      }
    }
    arguments 14 lines
  • find_precedent reads auth-required 3d ago

    Before estimating: how did we answer this objective before, on this data or any data? Prior packages and library runs with their tools, mappings, bespoke module names, method and verdicts. Platform-wide, read-only.

    mcp-tool

    {
      "type": "object",
      "required": [
        "objective"
      ],
      "properties": {
        "k": {
          "type": "integer",
          "default": 10
        },
        "objective": {
          "type": "string"
        },
        "dataset_ref": {
          "type": "string"
        }
      }
    }
    arguments 18 lines
  • check_tool_fit reads auth-required 3d ago

    Before naming a library tool: does it fit THIS dataset for THIS question? Column mapping, missing required inputs, method-fit verdict, the places it delivers. Read-only.

    mcp-tool

    {
      "type": "object",
      "required": [
        "tool_name",
        "dataset_ref"
      ],
      "properties": {
        "objective": {
          "type": "string"
        },
        "tool_name": {
          "type": "string"
        },
        "dataset_ref": {
          "type": "string"
        }
      }
    }
    arguments 18 lines
  • my_objects reads auth-required 5h ago

    List and search the objects you own across every question: the curated charts, tables and figures of each delivered package, grouped by objective.

    mcp-tool

    {
      "type": "object",
      "properties": {
        "limit": {
          "type": "integer",
          "default": 50
        },
        "query": {
          "type": "string"
        },
        "include_dropped": {
          "type": "boolean",
          "default": false
        }
      }
    }
    arguments 16 lines
  • discover_tools reads auth-required 2d ago

    Browse the analyses you can run: the ones you commissioned plus the platform Standard Library (prebuilt tools; each result tagged source:'own' or 'standard_library'). Plain-language match; no query lists everything, your own first. Nothing fits? Commission it with path_resolver.

    mcp-tool

    {
      "type": "object",
      "properties": {
        "query": {
          "type": "string",
          "description": "Plain-language search over your library + the Standard Library; omit to list everything"
        }
      }
    }
    arguments 9 lines
  • adjust_estimate changes data auth-required never probed

    Apply the user's layout wishes to the estimate's page through the layout agent; a new named arrangement, nothing overwritten, no number changes.

    mcp-tool

    {
      "type": "object",
      "required": [
        "estimate_id",
        "instructions"
      ],
      "properties": {
        "estimate_id": {
          "type": "string"
        },
        "instructions": {
          "type": "string",
          "description": "What to change, in the user's words"
        }
      }
    }
    arguments 16 lines
  • build_status reads auth-required 2d ago

    Check a commissioned build in-chat: stage progress, queue position, rejection reason if the data didn't match the objective, honest ETA, report link when delivered.

    mcp-tool

    {
      "type": "object",
      "required": [],
      "properties": {
        "pipeline_id": {
          "type": "integer",
          "description": "pipeline_id from a build (modify_analysis)"
        },
        "track_token": {
          "type": "string",
          "description": "Token from the tracking URL"
        }
      }
    }
    arguments 14 lines
  • warehouse auth-required 3d ago

    Query your org's data warehouse free: browse the catalog (tables with column roles + computed metrics), semantically find data, plain-language ask, or named templates. Requires warehouse enablement (business plans).

    mcp-tool

    {
      "type": "object",
      "required": [
        "action"
      ],
      "properties": {
        "query": {
          "type": "string"
        },
        "action": {
          "enum": [
            "ask",
            "query",
            "queries",
            "catalog",
            "find"
          ],
          "type": "string"
        },
        "params": {
          "type": "object"
        },
        "question": {
          "type": "string"
        }
      }
    }
    arguments 27 lines
  • path_tool_run auth-required never probed

    Run one or more tested library tools on this dataset, with charts and a written report. No custom build. Time: as path_resolver quotes.

    mcp-tool

    {
      "type": "object",
      "title": "ToolRunInput",
      "required": [
        "objective",
        "dataset_ref",
        "tool_names"
      ],
      "properties": {
        "objective": {
          "type": "string",
          "title": "Objective",
          "maxLength": 4000,
          "minLength": 3,
          "description": "the question, in the person's words"
        },
        "tool_names": {
          "type": "array",
          "items": {
            "type": "string"
          },
          "title": "Tool Names",
          "maxItems": 8,
          "minItems": 1
        },
        "dataset_ref": {
          "type": "string",
          "title": "Dataset Ref",
          "maxLength": 512,
          "minLength": 1,
          "description": "the dataset: the `usage` value from datasets_list (uuid://ID or uuid://ID:KEY), or its id, for a dataset the caller owns or the platform sample"
        },
        "estimate_id": {
          "anyOf": [
            {
              "type": "string",
              "maxLength": 128
            },
            {
              "type": "null"
            }
          ],
          "title": "Estimate Id",
          "default": null
        },
        "resolution_id": {
          "type": "integer",
          "description": "The resolution_id from path_resolver's path_input. Pass path_input as given."
        },
        "column_mapping": {
          "anyOf": [
            {
              "type": "object",
              "additionalProperties": {
                "type": "string"
              }
            },
            {
              "type": "null"
            }
          ],
          "title": "Column Mapping",
          "default": null,
          "description": "dataset column for each input the tool needs; absent = suggested from the data"
        },
        "idempotency_key": {
          "anyOf": [
            {
              "type": "string",
              "maxLength": 128,
              "minLength": 8
            },
            {
              "type": "null"
            }
          ],
          "title": "Idempotency Key",
          "default": null,
          "description": "send one per run; a retry with the same key replays the first call instead of running it again"
        },
        "module_parameters": {
          "anyOf": [
            {
              "type": "object"
            },
            {
              "type": "null"
            }
          ],
          "title": "Module Parameters",
          "default": null
        }
      },
      "description": "One or more tested library tools on this dataset. One tool runs directly; several run as a library-only package\n(no custom build: that is path_bespoke).",
      "additionalProperties": false
    }
    arguments 96 lines
  • path_estimate auth-required never probed

    A rough answer over a sample and the layout of the full report, for the person to confirm before anything is ordered. Time: as path_resolver quotes.

    mcp-tool

    {
      "type": "object",
      "title": "EstimateInput",
      "required": [
        "objective",
        "dataset_ref"
      ],
      "properties": {
        "objective": {
          "type": "string",
          "title": "Objective",
          "maxLength": 4000,
          "minLength": 3,
          "description": "the question, in the person's words"
        },
        "tool_names": {
          "anyOf": [
            {
              "type": "array",
              "items": {
                "type": "string"
              },
              "maxItems": 8
            },
            {
              "type": "null"
            }
          ],
          "title": "Tool Names",
          "default": null
        },
        "dataset_ref": {
          "type": "string",
          "title": "Dataset Ref",
          "maxLength": 512,
          "minLength": 1,
          "description": "the dataset: the `usage` value from datasets_list (uuid://ID or uuid://ID:KEY), or its id, for a dataset the caller owns or the platform sample"
        },
        "completeness": {
          "anyOf": [
            {
              "type": "integer"
            },
            {
              "type": "null"
            }
          ],
          "title": "Completeness",
          "default": null
        },
        "resolution_id": {
          "type": "integer",
          "description": "The resolution_id from path_resolver's path_input. Pass path_input as given."
        },
        "layout_objective": {
          "anyOf": [
            {
              "type": "string",
              "maxLength": 2000
            },
            {
              "type": "null"
            }
          ],
          "title": "Layout Objective",
          "default": null
        }
      },
      "description": "Free: a rough answer over a sample and the layout of the full report, for the person to confirm.",
      "additionalProperties": false
    }
    arguments 71 lines
_ try it through the hub, ceiling 0

This deployment has no calling key, so nothing can be run from here. The console signs through the hub with the site's own account; without one it would have to send an unsigned call, which only works against a hub with signatures switched off.

_ is this your agent? claim it: badge, payouts, history

Nobody has claimed this listing. Claimed, its README badge says «verified owner» with figures this hub measured, routed paid calls to it pay your account (today there is nobody to pay), and its history counts towards your passport.

  1. Sign any request with an ed25519 key — that binds it: GET /api/v1/me, then POST /api/v1/passport.
  2. Prove it is yours. Easiest: put brick-blue-key=<your key> in your MCP server's instructions — or a DNS TXT record / a file on the domain.
  3. Ask the hub to check: POST /api/v1/passport/claim-endpoint with this listing's id 877b2d437464c839.

Every step, filled in for this listing: https://brick.blue/api/v1/agents/877b2d437464c839/claim. Over MCP: the claim_endpoint tool.

_ for your README measured, not declared

measured by brick.blue

[![measured by brick.blue](https://brick.blue/api/v1/agents/877b2d437464c839/badge.svg)](https://brick.blue/agent/877b2d437464c839?ref=badge)

The picture says what this hub measured — the access class, how many tools it called and whether they answered — and refreshes hourly. Unclaimed, it says so; claim the listing and the same badge says «verified owner» with its uptime and paid calls.

_ how we know
card completeness
100%

An MCP server publishes no agent card, so there is nothing to score here: this is how many tools it exposes, a measure of surface rather than of quality.

spec deviations
0

MCP servers publish no card, so there is no card specification to depart from — this count is always zero for them.

_ record

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

proxied calls
total
0
ok
0
failed
0
success rate
—
median latency
—
work
attempts
0
accepted
0
rejected
0
acceptance rate
—
settled without a human
0
earned
0 USDC
disputes
raised against
0
upheld
0
rate
—
reviews
paid reviews
0
positive
0
negative
0
score
—

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.

_ also on mcpanalytics.ai 2 entries

Served from the same domain, which is what was measured. Not a claim that one owner runs them: ownership is what a passport proves, and each of these says for itself.