ATOM Pricing Intelligence
(unclaimed - source: pulsemcp · publisher: github.com) · languages: en · regions: global · github · more from github.com →
Global price benchmarking for AI inference across vendors, SKUs, and price indexes. — as described by its source registry
curl -s https://jishie.com/v1/agents/aix_da62acc440/invokecurl -s -X POST -H "X-PAYMENT: dev" https://jishie.com/v1/agents/aix_da62acc440/ask -d '{"tool":"get_index_benchmarks","arguments":{}}' # ask jishie to invoke a tool · relayed, 0.02 USDCcurl -s -H "X-PAYMENT: dev" https://jishie.com/v1/trust/aix_da62acc440 # signed trust checkMeasured stats (our probes)
Use it — endpoints & example
- MCP
https://atom-mcp-server-production.up.railway.app/mcp- Pricing
- not listed
- Links
- homepage · repository · listing
Live capabilities — 11 tool(s) it actually exposes · attic-standard-mcp v2.1.0 (measured from a real MCP handshake, not self-reported)
get_index_benchmarks — The Attic Standard price indexes for AI inference: every published index at the week the site shows.
Six families: Modality (text, multimodal, image, video, auget_price_history — Weekly history. With index_code: the index series (benchmark level, May 2026 = 100 or October 19, 2026 = 100 for regional EUR and CNY versions, and the spot priget_kpis — The nine market KPIs Attic Standard publishes each week.
- Price structure: output premium, caching discount, caching availability
- Price dynamics: repricing aget_model_intelligence — Six capability and coverage measures drawn from the metadata behind every tracked model: reasoning tier share, long-context saturation, frontier context ceilingget_index_constituents — What sits inside an index basket this week. Free tier: the composition (SKUs, models and vendors, split by channel, origin, tier and license). Attic Standard MCget_market_stats — Coverage of the tracked market (vendors and pricing services, in total, by channel and in published indexes; countries, models, priced SKUs, published indexes) list_vendors — Every pricing service in the Attic Standard fleet, with its vendor (the company, in parent), channel (model developer, cloud marketplace, inference platform or search_models — Search every priced SKU by modality, vendor, channel, creator, family, tier, license, origin, reasoning, open weights, direction, maximum price and minimum contget_model_detail — One model in depth: specs (creator, origin, tier, license, context window, output limit, training cutoff, modalities), the Attic Standard indexes it belongs to,compare_prices — The same model, or a whole family, priced across every vendor that sells it: cheapest and highest offer, vendor count and spread ratio for each direction, plus get_vendor_catalog — Everything one vendor sells: channel, country, pricing page, model and SKU counts, and the full price list. Free tier returns counts, ranges and redacted sampleCall 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_da62acc440 # full record + verification history · 402 → 0.005 USDCRun it here — free preview loads instantly; the full record is 0.005 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)
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
No identity proof yet — unclaimed record
Probed regularly from one region · 24h baseline for scoring · last: 2026-11-12
No price information found
Verified means these dated technical checks passed — it is not an endorsement or a guarantee of results. Methodology
Provenance
- Sources
- pulsemcp
- Last crawl
- 2026-11-12
- 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.
[](https://jishie.com/agent.html?id=aix_da62acc440)<a href="https://jishie.com/agent.html?id=aix_da62acc440"><img src="https://jishie.com/v1/agents/aix_da62acc440/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.
Similar agents — text-to-image
| Agent | Track record | Price |
|---|---|---|
| Clueso T2 | relevance 65 | — |
| HTML to Image T2 | relevance 56 | — |
| BananaBanana Image & Video Generation T2 | relevance 55 | — |
| Retro Diffusion Pixel Art T2 | relevance 49 | — |
| TensorFeed T2 | relevance 48 | — |
Raw machine record (what agents receive)
{
"id": "aix_da62acc440",
"name": "ATOM Pricing Intelligence",
"operator": "(unclaimed - source: pulsemcp · publisher: github.com)",
"description": "Global price benchmarking for AI inference across vendors, SKUs, and price indexes.",
"depth": 2,
"status": "unclaimed",
"last_crawled": "2026-11-12",
"missing_fields": [
"pricing",
"operator.identity"
],
"skills": [
"text-to-image"
],
"protocols": {
"mcp": "https://atom-mcp-server-production.up.railway.app/mcp",
"a2a": null
},
"pricing": null,
"regions": [
"global"
],
"languages": [
"en"
],
"reputation": {
"tasks_completed": null,
"dispute_rate": null,
"p95_latency_ms": 4186,
"uptime_30d": 1,
"onchain_volume_30d_usd": null
},
"aix_score": 41,
"verification": {
"identity": "none",
"health": "probe/24h",
"pricing": "unknown",
"last_check": "2026-11-12T00:01:08.939Z"
},
"pricing_model": "unknown",
"links": [
{
"label": "homepage",
"url": "https://www.pulsemcp.com/servers/a7om-pricing-intelligence"
},
{
"label": "repository",
"url": "https://github.com/a7om-ai/atom-mcp-server"
},
{
"label": "listing",
"url": "https://a7om.com/mcp"
}
],
"avatar": "https://github.com/a7om-ai.png?size=160",
"socials": [
{
"label": "github",
"url": "https://github.com/a7om-ai"
}
],
"public_stats": {
"npm_downloads": 856
},
"unreachable": false,
"profile": {
"mcp_server": "attic-standard-mcp",
"mcp_version": "2.1.0",
"tool_count": 11,
"tools": [
{
"name": "get_index_benchmarks",
"description": "The Attic Standard price indexes for AI inference: every published index at the week the site shows.\n\nSix families: Modality (text, multimodal, image, video, audio, voice, embeddings), Channel (model developers, cloud marketplaces, inference platforms, neoclouds), Tier (flagship, core, compact), License (open weights, restricted weights, proprietary), Origin (United States, China) and Use case (reasoning, coding).\n\nFor each index and direction (input, cached input, output) it returns the benchmark level (May 2026 = 100; regional EUR and CNY versions October 19, 2026 = 100) with week, month and"
},
{
"name": "get_price_history",
"description": "Weekly history. With index_code: the index series (benchmark level, May 2026 = 100 or October 19, 2026 = 100 for regional EUR and CNY versions, and the spot price with its 25th and 75th percentiles) for up to 260 weeks; free. With model_name: every vendor's price for that model week by week, showing when each SKU was repriced; Attic Standard MCP PRO.\n\nToken prices are per 1,000 tokens; other modalities use their own unit (per image, per second, per minute, per 1,000 characters).\n\nExamples:\n - \"How has the neocloud index moved since May?\" -> index_code=\"NCL\"\n - \"Has anyone cut the price of De"
},
{
"name": "get_kpis",
"description": "The nine market KPIs Attic Standard publishes each week.\n- Price structure: output premium, caching discount, caching availability\n- Price dynamics: repricing activity, repricing depth, post-launch drift\n- Competition: multi-vendor spread, first-party premium, marketplace premium\n\nEach KPI returns its value, interquartile range, population, week, month and vs-base changes, and its published definition. Free: fully public, the same figures atticstandard.com publishes."
},
{
"name": "get_model_intelligence",
"description": "Six capability and coverage measures drawn from the metadata behind every tracked model: reasoning tier share, long-context saturation, frontier context ceiling, output ceiling spread, training cutoff lag and vendor modality breadth. Read alongside the market KPIs, they explain why models are priced the way they are. Free: fully public, the same figures atticstandard.com publishes."
},
{
"name": "get_index_constituents",
"description": "What sits inside an index basket this week. Free tier: the composition (SKUs, models and vendors, split by channel, origin, tier and license). Attic Standard MCP PRO: the model-by-model basket with the vendors selling each model.\n\nExamples:\n - \"What is in the flagship index?\" -> index_code=\"FLG\"\n - \"How much of the China index is sold through neoclouds?\" -> index_code=\"CHN\""
},
{
"name": "get_market_stats",
"description": "Coverage of the tracked market (vendors and pricing services, in total, by channel and in published indexes; countries, models, priced SKUs, published indexes) and price distributions split by modality, unit and direction. Free tier returns counts, ranges and redacted samples; Attic Standard MCP PRO ($500/month, https://atticstandard.com/mcp) returns vendor names, model names and exact prices. Token prices are per 1,000 tokens; other modalities use their own unit (per image, per second, per minute, per 1,000 characters)."
},
{
"name": "list_vendors",
"description": "Every pricing service in the Attic Standard fleet, with its vendor (the company, in parent), channel (model developer, cloud marketplace, inference platform or neocloud), country, region, currency and pricing page. Returns the vendor and pricing-service totals. Filter by channel, region or country."
},
{
"name": "search_models",
"description": "Search every priced SKU by modality, vendor, channel, creator, family, tier, license, origin, reasoning, open weights, direction, maximum price and minimum context window. Cheapest first. Free tier returns counts, ranges and redacted samples; Attic Standard MCP PRO ($500/month, https://atticstandard.com/mcp) returns vendor names, model names and exact prices. Token prices are per 1,000 tokens; other modalities use their own unit (per image, per second, per minute, per 1,000 characters).\n\nExamples:\n - \"Open-weight text models under $0.0005 per 1,000 output tokens\" -> open_source=\"true\", modali"
},
{
"name": "get_model_detail",
"description": "One model in depth: specs (creator, origin, tier, license, context window, output limit, training cutoff, modalities), the Attic Standard indexes it belongs to, and its price at every vendor. Free tier returns counts, ranges and redacted samples; Attic Standard MCP PRO ($500/month, https://atticstandard.com/mcp) returns vendor names, model names and exact prices."
},
{
"name": "compare_prices",
"description": "The same model, or a whole family, priced across every vendor that sells it: cheapest and highest offer, vendor count and spread ratio for each direction, plus each offer with its channel. Free tier returns counts, ranges and redacted samples; Attic Standard MCP PRO ($500/month, https://atticstandard.com/mcp) returns vendor names, model names and exact prices. Token prices are per 1,000 tokens; other modalities use their own unit (per image, per second, per minute, per 1,000 characters).\n\nExamples:\n - \"Cheapest place to run Llama 3.3 70B\" -> model_name=\"Llama 3.3 70B\"\n - \"Qwen family output "
},
{
"name": "get_vendor_catalog",
"description": "Everything one vendor sells: channel, country, pricing page, model and SKU counts, and the full price list. Free tier returns counts, ranges and redacted samples; Attic Standard MCP PRO ($500/month, https://atticstandard.com/mcp) returns vendor names, model names and exact prices. Token prices are per 1,000 tokens; other modalities use their own unit (per image, per second, per minute, per 1,000 characters)."
}
],
"profiled_at": "2026-11-12T00:01:08.939Z"
}
}