_ registry / mcp http-sse · checked 1h ago

Spark — AI Assets Marketplace

https://spark.entire.vc

Registry code: fbf8d27ebf0dbc55

api record

Search and discover AI assets (agents, skills, prompts, MCP connectors, bundles) from the Spark marketplace at spark.entire.vc. search_assets finds assets, get_asset returns their full details, and get_asset_content returns the prompt or skill text together with an application_id. report_outcome records the result of applying an asset; the report text is published on the asset's public page.

endpoint
https://spark.entire.vc/mcp/
protocol
http-sse ·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 it live, free and safe measured by this hub
Is Spark — AI Assets Marketplace live?
Yes — it answered the hub's last check (checked 1h ago). It answered 100% of checks over the last 30 days.
Is Spark — AI Assets Marketplace free to use?
Yes — the hub reached it with no key and no payment.
What tools does Spark — AI Assets Marketplace have?
6 tools: search_assets, get_asset, get_asset_content, report_outcome, list_categories, list_popular.
Is Spark — AI Assets Marketplace 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
100%

90 days 99.8%· all time 99.8%

latency
168ms

last good check

priced tools
0

of 6 tools

_ answered our checks, 90 days 451 checks · signed record
  • degraded → live
  • degraded → live
  • live → degraded· timeout after 20000ms
_ what it is for
used for
  • search ai agents, skills and prompts
  • get the content of a prompt or skill
  • list popular ai assets
  • report the outcome of applying an asset
takes → gives
text → data, text
tools
5 reads1 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 6 tools
2 open 4 never probed 2 of 6 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.

  • list_categories reads open 23h ago

    List available categories (domains and AI tags) in the Spark marketplace. For when domain filter values or taxonomy are needed; search_assets returns assets rather than categories. Takes no parameters. Returns Markdown lists of AI tag names/slugs and domain names/slugs grouped by parent category; domain slugs are accepted by search_assets' domain filter. AI tags are not a search_assets filter. Public catalog lookup, no login or download recorded. For example, list_categories().

    mcp-tool

    {
      "type": "object",
      "properties": {},
      "additionalProperties": false
    }
    arguments 5 lines
  • list_popular reads open 23h ago

    List the most popular Spark assets by download count, optionally filtered by type. For when browsing without a text query; search_assets finds text matches. Returns numbered summaries with outcomes, price, tags and URLs, or 'No assets found.' Downloads measure acquisitions, not successful applications or ratings. Public catalog lookup, no login or download recorded. For example, list_popular(type='skill', limit=5).

    mcp-tool

    {
      "type": "object",
      "properties": {
        "type": {
          "anyOf": [
            {
              "type": "string"
            },
            {
              "type": "null"
            }
          ],
          "default": null,
          "description": "Optional asset type: agent, skill, prompt, prompt_chain, mcp_connector or bundle; omitted means all types."
        },
        "limit": {
          "type": "integer",
          "default": 10,
          "description": "Maximum results; clamped to 1-20, default 10."
        }
      },
      "additionalProperties": false
    }
    arguments 23 lines
  • search_assets reads unknown never probed

    Search the Spark AI assets marketplace for agents, skills, prompts, prompt chains, MCP connectors and bundles. For when a text query is available but the slug is not known; get_asset describes a known slug. Returns numbered summaries with type, downloads, outcomes, price, tags and URL, or a no-results message. No login required; no acquisition is made. Unmatched nonempty queries may be recorded as unmet catalog needs. A nonempty job ranks text matches by task fit, even with a non-combo sort. For example, search_assets(query='rate limiting', job='add a rate limiter', limit=5).

    mcp-tool

    {
      "type": "object",
      "required": [
        "query"
      ],
      "properties": {
        "job": {
          "anyOf": [
            {
              "type": "string"
            },
            {
              "type": "null"
            }
          ],
          "default": null,
          "description": "Optional task, e.g. 'review Python code'; a nonempty value enables job-based ranking regardless of sort."
        },
        "sort": {
          "type": "string",
          "default": "combo",
          "description": "combo (default): quality, ratings and outcomes; popular: downloads; newest: creation date; rating: average rating. Invalid values fall back to combo; job enables ranking for any sort."
        },
        "type": {
          "anyOf": [
            {
              "type": "string"
            },
            {
              "type": "null"
            }
          ],
          "default": null,
          "description": "Optional asset type: agent, skill, prompt, prompt_chain, mcp_connector or bundle; omitted means all types."
        },
        "limit": {
          "type": "integer",
          "default": 10,
          "description": "Maximum results; clamped to 1-50, default 10."
        },
        "query": {
          "type": "string",
          "description": "Text matched against titles and descriptions, e.g. 'rate limiting'; empty text browses the catalog."
        },
        "domain": {
          "anyOf": [
            {
              "type": "string"
            },
            {
              "type": "null"
            }
          ],
          "default": null,
          "description": "Optional domain slug from list_categories, e.g. 'development'; omitted means all domains."
        }
      },
      "additionalProperties": false
    }
    arguments 59 lines
  • get_asset reads unknown never probed

    Get full details of a Spark asset by its slug — description, metadata, outcome reports, bundled files and the URL on spark.entire.vc. For when a known slug needs inspection before acquisition. Returns Markdown details, which may include embedded content; get_asset_content obtains the raw content and a receipt. Public catalog lookup, no login or download recorded. Missing or unavailable slugs return a not-found message. For example, get_asset(slug='vb-seo-expert').

    mcp-tool

    {
      "type": "object",
      "required": [
        "slug"
      ],
      "properties": {
        "slug": {
          "type": "string",
          "description": "Exact asset slug from a search result or Spark URL, e.g. 'vb-seo-expert'; not a URL or asset ID."
        }
      },
      "additionalProperties": false
    }
    arguments 13 lines
  • get_asset_content reads unknown never probed

    Get the raw content of a Spark asset (prompt text, skill instructions, agent config) — the actual text to apply, not just a description of it. For when a known asset's content is needed for application; get_asset provides details without acquisition. Each successful fetch records a download/acquisition; repeated calls create new receipts and content may change after updates. Free content needs no login. Paid content requires a Spark API key (X-API-Key) or Bearer token and prior purchase or ownership; this tool makes no purchase. Returns content and an application_id for report_outcome, or a not-found/access message. Content may be a source link rather than embedded text. For example, get_asset_content(slug='vb-seo-expert').

    mcp-tool

    {
      "type": "object",
      "required": [
        "slug"
      ],
      "properties": {
        "slug": {
          "type": "string",
          "description": "Exact asset slug from a search result or Spark URL, e.g. 'vb-seo-expert'; not a URL or asset ID."
        }
      },
      "additionalProperties": false
    }
    arguments 13 lines
  • report_outcome changes data unknown never probed

    Records the result of applying a fetched Spark asset: applied as is, changed, broke, or not applicable. For when the outcome is known and an application_id from get_asset_content is available, rather than a star rating. Mismatched user/session receipts are rejected; asset owners cannot report on their own assets. Submitting the same application_id updates the report. Authenticated reports count, but team reports do not affect rankings; anonymous reports are unverified. Returns a saved/updated confirmation, or a validation/receipt error. Fields `task`, `note`, `changed_what`, `failed_at`, `expected`, `got` are published on the asset's public page on spark.entire.vc, visible to any visitor. Do not include client data, private paths, keys, emails or URLs with tokens. Your identity is never shown on that page. Example: report_outcome(application_id='<receipt>', result='applied_as_is', task='add a rate limiter').

    mcp-tool

    {
      "type": "object",
      "required": [
        "application_id",
        "result",
        "task"
      ],
      "properties": {
        "got": {
          "anyOf": [
            {
              "type": "string"
            },
            {
              "type": "null"
            }
          ],
          "default": null,
          "description": "Required for not_applicable: what the asset actually does (≤ 200 characters); ignored for other results."
        },
        "note": {
          "anyOf": [
            {
              "type": "string"
            },
            {
              "type": "null"
            }
          ],
          "default": null,
          "description": "Optional extra context (≤ 300 characters); published on the asset page."
        },
        "task": {
          "type": "string",
          "description": "Required nonempty task attempted, one phrase (≤ 200 characters); published on the asset page."
        },
        "model": {
          "anyOf": [
            {
              "type": "string"
            },
            {
              "type": "null"
            }
          ],
          "default": null,
          "description": "Optional model name; trimmed to 100 characters. Shown, never ranked."
        },
        "result": {
          "enum": [
            "applied_as_is",
            "applied_with_changes",
            "broke",
            "not_applicable"
          ],
          "type": "string",
          "description": "applied_as_is: applied without edits, task solved. applied_with_changes: had to edit it, then solved (requires changed_what). broke: tried to apply and it failed (requires failed_at). not_applicable: read it and did not apply, it does something else (requires expected and got)."
        },
        "expected": {
          "anyOf": [
            {
              "type": "string"
            },
            {
              "type": "null"
            }
          ],
          "default": null,
          "description": "Required for not_applicable: what was sought (≤ 200 characters); ignored for other results."
        },
        "failed_at": {
          "anyOf": [
            {
              "type": "string"
            },
            {
              "type": "null"
            }
          ],
          "default": null,
          "description": "Required for broke: failed step, tool or command and error class (≤ 200 characters); ignored for other results."
        },
        "changed_what": {
          "anyOf": [
            {
              "type": "string"
            },
            {
              "type": "null"
            }
          ],
          "default": null,
          "description": "Required for applied_with_changes: what changed (≤ 200 characters); ignored for other results."
        },
        "application_id": {
          "type": "string",
          "description": "The application_id at the end of the get_asset_content response."
        }
      },
      "additionalProperties": false
    }
    arguments 101 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 fbf8d27ebf0dbc55.

Every step, filled in for this listing: https://brick.blue/api/v1/agents/fbf8d27ebf0dbc55/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/fbf8d27ebf0dbc55/badge.svg)](https://brick.blue/agent/fbf8d27ebf0dbc55?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.