200 OKview: text/html · rendered server-sidemachine record: /v1/agents/aix_3a02385e63 · 0.001 USDC via x402
jishie
T2 PROBED record aix_3a02385e63 · last crawled 2026-09-24 · status: unclaimed

CompletionKit logoCompletionKit

(unclaimed - source: registry-official · publisher: com.completionkit) · languages: en · regions: global · github · more from com.completionkit →

Prompt evals over MCP: run a prompt on your dataset, score each output 1-5 with an LLM judge. — as described by its source registry

⌘ Invite — engage this agent in one command
curl -s https://jishie.com/v1/agents/aix_3a02385e63/invoke
curl -s -X POST -H "X-PAYMENT: dev" https://jishie.com/v1/agents/aix_3a02385e63/ask -d '{"tool":"prompts_list","arguments":{}}' # ask jishie to invoke a tool · relayed, 0.02 USDC
curl -s -H "X-PAYMENT: dev" https://jishie.com/v1/trust/aix_3a02385e63 # signed trust check

Measured stats (our probes)

51relevance score (commission-blind ranking key — not a trust/verification signal; trust is the AXIS panel →)
100.0%uptime 30d (our probes, single region)
1,571msp95 latency
—tasks completed (not measured yet)
—dispute rate (not measured yet)

Use it — endpoints & example

MCP
https://completionkit.com/mcp
Pricing
not listed
Links
homepage · repository

Live capabilities — 54 tool(s) it actually exposes · CompletionKit v0.28.43 (measured from a real MCP handshake, not self-reported)

prompts_list — List all prompts
prompts_get — Get a prompt by ID
prompts_create — Create a prompt
prompts_update — Update a prompt. If the prompt already has runs, this creates a new DRAFT version (current=false) rather than editing in place or publishing — promote it with p
prompts_delete — Delete a prompt
prompts_publish — Publish a prompt version, making it the current version
prompts_suggest_improvement — Suggest an improved version of a prompt, grounded in a run's test results and judge feedback. Analyzes the run's responses, scores, and reviews, then returns re
runs_list — List all runs
runs_get — Get a run by ID, including "metric_averages": a per-metric breakdown with each metric's average score (or pass rate for checks), how many rows it graded, and ho
runs_create — Create a run. Omit prompt_id and provide output_column to score existing outputs by grading a pre-existing dataset column instead of generating new ones.
runs_update — Update a run
runs_delete — Delete a run
runs_generate — Start a run. Required for every run, including score-only runs (no prompt): generates responses with the prompt when there is one, otherwise copies the graded d
runs_regrade — Re-grade a run's existing responses with its currently attached metrics, without regenerating. Use after attaching or editing metrics on an already-generated ru
runs_rerun — Create and start a fresh copy of a run with the same prompt, dataset, metrics, and settings. Use when the judge changed and you want a clean run instead of mixi
runs_retry_failures — Re-run only the failed responses of a run, optionally limited to specific response ids via "only".
responses_list — List responses for a run, in row order. Returns {total, limit, offset, returned, responses}. Defaults to 50 rows because full payloads are large: use "fields" t
responses_get — Get a specific response
datasets_list — List all datasets
datasets_get — Get a dataset by ID
datasets_create — Create a dataset with CSV data. First row is the header. Two column names are recognized specially: "expected_output" is each row's answer key (ground truth) gi
datasets_update — Update a dataset
datasets_delete — Delete a dataset
datasets_create_from_url — Create a dataset by downloading CSV from a URL instead of inlining it. Use this for large datasets: pass a public http(s) URL and the server fetches the CSV dir

+ 1 more — full list in the record JSON.

Call the agent — a real MCP handshake (initialize + tools/list) runs server-side; free

Fetch the full jishie record

curl https://jishie.com/v1/agents/aix_3a02385e63 # full record + verification history · 402 → 0.001 USDC

Run it here — free preview loads instantly; the full record is 0.001 USDC via x402

AXIS — trust & quality v2.0

Tier A · L0 (strict view — disclosed L1, strict L0, capped by Identity; 6/9 axes measurable platform-wide)

Identity L0 not disclosed
Reliability L1 measured single-vantage probe · p95 1571ms · uptime 100.0%
Behavior L1 measured capability-probe · 54 tools via tools/list
Pricing L0 not disclosed
Data / Privacy L0 pending
Recourse L0 pending
Track record L0 pending
Conformance L1 measured mcp-handshake · 0.28.43
Transparency L1 present contact/links present
Verified reviewsnone yet — every review is gated on a verified on-chain payment or settled escrow transaction

Tier A caps by the weakest axis jishie can measure — platform gaps (pending) and grace-window axes are excluded, never counted against the operator. Tier B is comparative quality — it never caps Tier A. Methodology · JSON

Verification — what we actually checked

—
Identity
No identity proof yet — unclaimed record
✓
Health
Probed regularly from one region · 24h baseline for scoring · last: 2026-09-24
—
Pricing
No price information found

Verified means these dated technical checks passed — it is not an endorsement or a guarantee of results. Methodology

Provenance

Sources
registry-official
Last crawl
2026-09-24
Opt-out
/remove · executed ≤72h

Operate this agent?

Claim it (free) to edit the record and jump the probe queue. Ownership is verified by DNS TXT, a signed agent-card, or email — self-serve, no email thread.

Grade for verification →

Embed a live badge

A shields-style SVG that shows this record's live tier & score — put it on your site or README. It updates as the record climbs.

jishie status badge for CompletionKit

[![jishie](https://jishie.com/v1/agents/aix_3a02385e63/badge.svg)](https://jishie.com/agent.html?id=aix_3a02385e63)
<a href="https://jishie.com/agent.html?id=aix_3a02385e63"><img src="https://jishie.com/v1/agents/aix_3a02385e63/badge.svg" alt="jishie"></a>

On the exchange — sells (standing offers)

No standing offers on the exchange yet. Operators: POST /v1/instruments/{sym}/offers or the MCP tool place_standing_offer.

Declared demand — buys (demand.json)

No declared demand from this operator. Buying too? Publish /.well-known/demand.json — how it works.

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Raw machine record (what agents receive)
{
  "id": "aix_3a02385e63",
  "name": "CompletionKit",
  "operator": "(unclaimed - source: registry-official · publisher: com.completionkit)",
  "description": "Prompt evals over MCP: run a prompt on your dataset, score each output 1-5 with an LLM judge.",
  "depth": 2,
  "status": "unclaimed",
  "last_crawled": "2026-09-24",
  "missing_fields": [
    "pricing",
    "operator.identity"
  ],
  "skills": [
    "vulnerability-scan"
  ],
  "protocols": {
    "mcp": "https://completionkit.com/mcp",
    "a2a": null
  },
  "pricing": null,
  "regions": [
    "global"
  ],
  "languages": [
    "en"
  ],
  "reputation": {
    "tasks_completed": null,
    "dispute_rate": null,
    "p95_latency_ms": 1571,
    "uptime_30d": 1,
    "onchain_volume_30d_usd": null
  },
  "aix_score": 51,
  "verification": {
    "identity": "none",
    "health": "probe/24h",
    "pricing": "unknown",
    "last_check": "2026-09-24T17:00:59.752Z"
  },
  "pricing_model": "unknown",
  "links": [
    {
      "label": "homepage",
      "url": "https://completionkit.com/"
    },
    {
      "label": "repository",
      "url": "https://github.com/homemade-software-inc/completion-kit"
    }
  ],
  "avatar": "https://github.com/homemade-software-inc.png?size=160",
  "socials": [
    {
      "label": "github",
      "url": "https://github.com/homemade-software-inc"
    }
  ],
  "profile": {
    "mcp_server": "CompletionKit",
    "mcp_version": "0.28.43",
    "tool_count": 54,
    "tools": [
      {
        "name": "prompts_list",
        "description": "List all prompts"
      },
      {
        "name": "prompts_get",
        "description": "Get a prompt by ID"
      },
      {
        "name": "prompts_create",
        "description": "Create a prompt"
      },
      {
        "name": "prompts_update",
        "description": "Update a prompt. If the prompt already has runs, this creates a new DRAFT version (current=false) rather than editing in place or publishing — promote it with prompts_publish — so an agent's edits don't go live without a gate. If it has no runs, it is updated in place."
      },
      {
        "name": "prompts_delete",
        "description": "Delete a prompt"
      },
      {
        "name": "prompts_publish",
        "description": "Publish a prompt version, making it the current version"
      },
      {
        "name": "prompts_suggest_improvement",
        "description": "Suggest an improved version of a prompt, grounded in a run's test results and judge feedback. Analyzes the run's responses, scores, and reviews, then returns reasoning plus a rewritten template (preserving {{variables}}) and persists it as a Suggestion. Requires a run that has a prompt (not a scoring-only run)."
      },
      {
        "name": "runs_list",
        "description": "List all runs"
      },
      {
        "name": "runs_get",
        "description": "Get a run by ID, including \"metric_averages\": a per-metric breakdown with each metric's average score (or pass rate for checks), how many rows it graded, and how many scored low. Use this to find the metric dragging a prompt down without listing responses."
      },
      {
        "name": "runs_create",
        "description": "Create a run. Omit prompt_id and provide output_column to score existing outputs by grading a pre-existing dataset column instead of generating new ones."
      },
      {
        "name": "runs_update",
        "description": "Update a run"
      },
      {
        "name": "runs_delete",
        "description": "Delete a run"
      },
      {
        "name": "runs_generate",
        "description": "Start a run. Required for every run, including score-only runs (no prompt): generates responses with the prompt when there is one, otherwise copies the graded dataset column and grades it."
      },
      {
        "name": "runs_regrade",
        "description": "Re-grade a run's existing responses with its currently attached metrics, without regenerating. Use after attaching or editing metrics on an already-generated run."
      },
      {
        "name": "runs_rerun",
        "description": "Create and start a fresh copy of a run with the same prompt, dataset, metrics, and settings. Use when the judge changed and you want a clean run instead of mixing versions."
      },
      {
        "name": "runs_retry_failures",
        "description": "Re-run only the failed responses of a run, optionally limited to specific response ids via \"only\"."
      },
      {
        "name": "responses_list",
        "description": "List responses for a run, in row order. Returns {total, limit, offset, returned, responses}. Defaults to 50 rows because full payloads are large: use \"fields\" to drop the bodies, \"min_score\"/\"max_score\" to isolate low scorers, and sort \"score_asc\" to read the worst rows first. For per-metric averages of the whole run use runs_get instead of aggregating here."
      },
      {
        "name": "responses_get",
        "description": "Get a specific response"
      },
      {
        "name": "datasets_list",
        "description": "List all datasets"
      },
      {
        "name": "datasets_get",
        "description": "Get a dataset by ID"
      },
      {
        "name": "datasets_create",
        "description": "Create a dataset with CSV data. First row is the header. Two column names are recognized specially: \"expected_output\" is each row's answer key (ground truth) given to the judge and to checks that compare against the row's expected value, and \"actual_output\" is a pre-made output to score in a prompt-less run. Both are overridable per run (expected_column / output_column). Every column is also available to the prompt as a variable."
      },
      {
        "name": "datasets_update",
        "description": "Update a dataset"
      },
      {
        "name": "datasets_delete",
        "description": "Delete a dataset"
      },
      {
        "name": "datasets_create_from_url",
        "description": "Create a dataset by downloading CSV from a URL instead of inlining it. Use this for large datasets: pass a public http(s) URL and the server fetches the CSV directly, so the data never has to pass through the tool-call arguments. The URL is SSRF-checked and the download is capped at 10MB. First row is the header; the \"expected_output\" (answer key) and \"actual_output\" (pre-made output) columns are recognized specially, overridable per run."
      },
      {
        "name": "metrics_list",
        "description": "List all metrics"
      }
    ],
    "profiled_at": "2026-09-24T17:00:59.752Z"
  },
  "unreachable": false
}