← The evidence ledger
Evidence row 73218
Observed , by baseline/1.
- Kind
- listing
- About
- source_record x402_bazaar:https://datastand.dev/api/llm/route
- Recorded
- Previous row
- None: the first of its kind about this subject
- Body SHA-256
- a382bed316ff8bb0bc2056591e479773fd01e0882529086aae0f2dc3196936ad
- Leaf
- 0x1d5ffd23cea9bb3ced748163e832cad428b16b2192085e5d225c4c2ee4329406
What was observed
{
"endpoints": [
[
"x402",
"https://datastand.dev/api/llm/route"
]
],
"name": "datastand.dev/api/llm/route",
"owner_address": "0x470a1b647d668d3820add26d70c8371557ff4c6b",
"raw": {
"accepts": [
{
"amount": "50000",
"asset": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913",
"extra": {
"name": "USD Coin",
"version": "2"
},
"maxTimeoutSeconds": 120,
"network": "eip155:8453",
"payTo": "0x470a1b647d668d3820add26d70c8371557ff4c6b",
"scheme": "exact"
}
],
"description": "Name your token workload and get every current LLM ranked by estimated USD cost to run it, with per-million-token prices, cached-input rates, context windows and provider. Combines an operator-verified pricing table with the wider marketplace listing and says which source each row came from. Filter by minimum context window or by provider, or restrict to verified rows only. Use it to pick the cheapest model that can actually hold your prompt.",
"extensions": {
"bazaar": {
"info": {
"input": {
"method": "GET",
"queryParams": {
"input_tokens": "20000",
"limit": "100",
"min_context": "200000",
"offset": "0",
"output_tokens": "1500"
},
"type": "http"
},
"output": {
"example": {
"cheapest": {
"est_cost_usd": 0.0031,
"model": "example-mini",
"provider": "example"
},
"count": 266,
"filters": {
"min_context": 200000,
"provider": null,
"unknown_context_excluded": 40,
"verified_only": false
},
"page": {
"has_more": true,
"limit": 100,
"next_offset": 100,
"offset": 0,
"returned": 100,
"total": 266
},
"results": [
{
"as_of": "2026-08-17",
"context_window_tokens": 200000,
"est_cost_usd": 0.0031,
"input_per_mtok_usd": 0.1,
"model": "example-mini",
"output_per_mtok_usd": 0.4,
"provider": "example",
"source": "https://example.com/pricing",
"verification": "operator-verified"
}
],
"workload": {
"input_tokens": 20000,
"output_tokens": 1500
}
},
"type": "json"
}
},
"schema": {
"$schema": "https://json-schema.org/draft/2020-12/schema",
"properties": {
"input": {
"additionalProperties": false,
"properties": {
"method": {
"enum": [
"GET",
"HEAD"
],
"type": "string"
},
"queryParams": {
"properties": {
"include_unknown_context": {
"description": "1/true to also rank models whose context window is unverified when min_context is set",
"type": "string"
},
"input_tokens": {
"description": "Input tokens per request (default 1000)",
"type": "string"
},
"limit": {
"description": "Rows per page, 1-100 (default 100)",
"type": "string"
},
"min_context": {
"description": "Only models with at least this context window. Models whose window is null (not verified) are excluded and counted in filters.unknown_context_excluded.",
"type": "string"
},
"offset": {
"description": "Skip this many ranked models (default 0). Use page.next_offset from the previous response. A page past the end costs nothing.",
"type": "string"
},
"output_tokens": {
"description": "Output tokens per request (default 1000)",
"type": "string"
},
"provider": {
"description": "Filter to one vendor token, e.g. anthropic, openai, x-ai, mistralai, qwen. Matched exactly against the vendor (punctuation and case ignored, so x-ai and xai are the same token) — never as a prefix, because meta and meta-llama are different vendors. Every response carries providers_available; a token that matches nothing is refused for free and names the near misses.",
"type": "string"
},
"verified_only": {
"description": "1/true to rank only operator-verified rows, dropping the marketplace catalog",
"type": "string"
}
},
"type": "object"
},
"type": {
"const": "http",
"type": "string"
}
},
"required": [
"type",
"method"
],
"type": "object"
},
"output": {
"properties": {
"example": {
"type": "object"
},
"type": {
"type": "string"
}
},
"required": [
"type"
],
"type": "object"
}
},
"required": [
"input"
],
"type": "object"
}
}
},
"lastUpdated": "2026-10-13T07:57:10.936Z",
"quality": {
"l30DaysTotalCalls": 3,
"l30DaysUniquePayers": 3,
"lastCalledAt": "2026-10-13T07:57:10.735Z"
},
"resource": "https://datastand.dev/api/llm/route",
"type": "http",
"x402Version": 2
},
"source": "x402_bazaar",
"summary": "Name your token workload and get every current LLM ranked by estimated USD cost to run it, with per-million-token prices, cached-input rates, context windows and provider. Combines an operator-verified pricing table with the wider marketplace listing and says which source each row came from. Filter by minimum context window or by provider, or restrict to verified rows only. Use it to pick the cheapest model that can actually hold your prompt."
}What the leaf hashes
{"body":"a382bed316ff8bb0bc2056591e479773fd01e0882529086aae0f2dc3196936ad","id":73218,"kind":"listing","method":"baseline/1","observed_us":1793025487183752,"prev":null,"subject":"x402_bazaar:https://datastand.dev/api/llm/route","subject_kind":"source_record"}Proof
Fold these into the leaf in order, hashing each sorted pair with keccak256, to reach the root of (296695 rows).
- 0x1d600d2af05bec202de68652751ba833bae0940dbd1945ec496828b54534b2e4
- 0x5e94dfa1a0fc78239396a5d484403d9455169bf53b28154cba3af7ece6c3142c
- 0x117f9e7c41fa5b1322341dbf4f9bace43980f57bba3c86a326f541086318e343
- 0xf18100a67e010be5b2d641f1234fb7965d252a7f0f914c7453e7961d6099e2fc
- 0x42361d1e97f6ccb02eef2ea3e1727c050088f2a01bd9a645ae722ddce598c490
- 0xec7f8f8bd9d51d8e08274941e09fdf103c7b6963ae7d7ffbe92999090d99d54a
- 0xf568c82526befb0bbdc40ec99718ac4e378aa8158cbe0016c5429aef6cdd13d4
- 0x64353d9b6a5e5c264afa4a3c1175708673a9dbddc7a01172293cc67c5b7ad750
- 0x3d86f02bcefd5c503f8a62d4f8a065a11eaac825db5166bd8edd4faaed62c7a3
- 0x328a19bb2b9e8aa664a31a15df6f2e5a801e6cb13c626e7a570636fb14fb88d3
- 0x15110e1ab8fe267895da4a2cf012c17f5824a8afca5d2dac1f158d633e16c91c
- 0x8e3531af6dd328ff9a174dd19751228f67fa0773c68a89edf859dffbd7b098c3
- 0x42b0d9d5b53af5b0fe99cee10ce29fe484db78b92ce49f97190cc6d098651d47
- 0x9dfd312f3d4937f7cb144cee3987e8516f222932b4ea286605236d73cfa1ed16
- 0xc3a6a3ae44ec0da1848b16d40c45d7aac97a67352eea8df18e0f26edabea8a2f
- 0x06d71bfa7d8b41d62c8836efc2c601e1cc3772d9453596b2ae4950887f3310ca
- 0x8c756542e482157df0c36464d75c937b845e4423dbbcfad08f0cf8d5a16b9a13
- 0x20704208aa6923d6b2450ef74ede87a6e0265d46447926038fe9506e9e154b2d
- 0x9b9ce5b74b9bab5121612ef6b64920a8d453cbf311096a423eef9702747e868a
- Day root
- 0xf43e8dcc3d451a4788b26be904c55e8c4c0fa75c9666796c51db38d37e2c0df8
- Chained
- 0x702d5ac508f08b0d1accf36af25822d8e5660367494edd17a642fb61e158a57a
- Published
- On Arc Testnet, block 69251483: 0x495162f8936e19f0039918feebe6c307f327cd6bf8c37219620b1970041fa9ae