← The evidence ledger
Evidence row 125403
Observed , by baseline/1.
- Kind
- listing
- About
- source_record x402_bazaar:https://x402-production-0f93.up.railway.app/v1/filter
- Recorded
- Previous row
- None: the first of its kind about this subject
- Body SHA-256
- 2735094113a79772c1ff113078ac6d262e2194e06129b463027ca665fb189c1e
- Leaf
- 0x409f5fd1f5600177f057757c74ed2c612e4df74e70fe820a1ae572a3fcfbd0b2
What was observed
{
"endpoints": [
[
"x402",
"https://x402-production-0f93.up.railway.app/v1/filter"
]
],
"name": "jev-filter",
"owner_address": "0x0faa1f473cdf918d8437d0f746270b98f13b7307",
"raw": {
"accepts": [
{
"amount": "10000",
"asset": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913",
"extra": {
"name": "USD Coin",
"version": "2"
},
"maxTimeoutSeconds": 300,
"network": "eip155:8453",
"payTo": "0x0FAa1f473CdF918d8437d0F746270b98f13b7307",
"scheme": "exact"
}
],
"description": "Filter up to 25 records against up to 10 yes/no criteria you supply. Each record comes back with keep / review / drop, a reason naming the criterion it failed, a 0-10 score and the per-criterion probabilities. Never drops a record it could not read or could not judge: those come back as review or keep, flagged. Built on a decision model rather than a chat model, so it is a flat per-call price with no token accounting on your side.",
"extensions": {
"bazaar": {
"info": {
"input": {
"body": {
"criteria": [
{
"key": "in_europe",
"question": "The company operates in Europe."
},
{
"key": "makes_things",
"question": "This is a company that manufactures or automates physical production, not a service business."
}
],
"mode": "all",
"records": [
{
"company": "Nordfjord Packaging AS",
"contact": "S. Halvorsen",
"country": "Norway",
"id": "1"
},
{
"company": "Bright Ideas Consultancy",
"contact": "",
"country": "UK",
"id": "2"
}
]
},
"bodyType": "json",
"method": "POST",
"type": "http"
},
"output": {
"example": {
"meta": {
"bundle": "dataset-filter",
"bundle_version": "0.1.0",
"elapsed_ms": 640,
"failures": 0,
"items": 2,
"model_cost_usd": 0.00012
},
"results": [
{
"confidence": "high",
"id": "1",
"rationale": "jev@openrouter: keep; reason all_criteria_met; in_europe 0.99, makes_things 0.97",
"reason": "all_criteria_met",
"rules_applied": [],
"score": 9.81,
"verdict": "keep"
},
{
"confidence": "high",
"id": "2",
"rationale": "jev@openrouter: drop; reason failed_makes_things; in_europe 0.98, makes_things 0.03",
"reason": "failed_makes_things",
"rules_applied": [
"require_makes_things"
],
"score": 4.9,
"verdict": "drop"
}
]
},
"type": "json"
}
},
"schema": {
"$schema": "https://json-schema.org/draft/2020-12/schema",
"properties": {
"input": {
"additionalProperties": false,
"properties": {
"body": {
"properties": {
"criteria": {
"items": {
"properties": {
"key": {
"description": "Short snake_case name. Appears in the result as failed_<key>.",
"pattern": "^[a-z][a-z0-9_]*$",
"type": "string"
},
"question": {
"description": "One yes/no statement about a single record, phrased so that TRUE means you want the record. Narrow and factual works; 'is this a good fit' does not.",
"type": "string"
},
"weight": {
"description": "Only used when mode is \"score\". Defaults to 1.",
"type": "number"
}
},
"required": [
"key",
"question"
],
"type": "object"
},
"maxItems": 10,
"minItems": 1,
"type": "array"
},
"dropBelow": {
"description": "score mode only. Below this a record is dropped; between this and threshold it is marked review. Defaults to half the threshold.",
"type": "number"
},
"mode": {
"default": "all",
"description": "all: every criterion must hold, each as its own gate so a drop is attributable. any: at least one must hold. score: the weighted mean must clear the threshold.",
"enum": [
"all",
"any",
"score"
],
"type": "string"
},
"records": {
"description": "Any shape. At most 4000 characters per record.",
"items": {
"type": "object"
},
"maxItems": 25,
"minItems": 1,
"type": "array"
},
"threshold": {
"description": "In all/any mode, how certain one criterion must be to count as true (0-1, default 0.5). In score mode, the 0-10 score a record must reach (default 5).",
"type": "number"
}
},
"required": [
"records",
"criteria"
]
},
"bodyType": {
"enum": [
"json",
"form-data",
"text"
],
"type": "string"
},
"method": {
"enum": [
"POST"
],
"type": "string"
},
"type": {
"const": "http",
"type": "string"
}
},
"required": [
"type",
"method",
"bodyType",
"body"
],
"type": "object"
},
"output": {
"properties": {
"example": {
"properties": {
"meta": {
"properties": {
"bundle": {
"type": "string"
},
"bundle_version": {
"type": "string"
},
"elapsed_ms": {
"type": "integer"
},
"engine": {
"type": "string"
},
"failures": {
"type": "integer"
},
"items": {
"type": "integer"
},
"model_cost_usd": {
"description": "What the call cost the server in model tokens. Published so you can see the markup you are paying.",
"type": "number"
},
"questions_sha256": {
"description": "Hash of the exact question wording used, so a result is reproducible.",
"type": "string"
}
},
"type": "object"
},
"results": {
"items": {
"properties": {
"confidence": {
"enum": [
"high",
"medium",
"low"
],
"type": "string"
},
"error": {
"description": "Present only when this one item could not be judged. Its verdict is then the safest rung, never a discard.",
"type": "string"
},
"id": {
"description": "The record's id field, or its index.",
"type": "string"
},
"rationale": {
"description": "The per-signal probabilities behind it.",
"type": "string"
},
"reason": {
"description": "A single label explaining the verdict.",
"type": "string"
},
"rules_applied": {
"description": "Which deterministic safety gates fired.",
"items": {
"type": "string"
},
"type": "array"
},
"score": {
"description": "0-10.",
"type": "number"
},
"verdict": {
"description": "One rung of the ladder for this operation.",
"type": "string"
}
},
"type": "object"
},
"type": "array"
}
},
"type": "object"
},
"type": {
"type": "string"
}
},
"required": [
"type"
],
"type": "object"
}
},
"required": [
"input"
],
"type": "object"
}
}
},
"lastUpdated": "2026-10-24T00:32:30.522Z",
"quality": {
"l30DaysTotalCalls": 5,
"l30DaysUniquePayers": 5,
"lastCalledAt": "2026-10-24T00:32:30.309Z"
},
"resource": "https://x402-production-0f93.up.railway.app/v1/filter",
"serviceName": "jev-filter",
"tags": [
"filter",
"classification",
"lead-scoring",
"data-cleaning",
"enrichment"
],
"type": "http",
"x402Version": 2
},
"source": "x402_bazaar",
"summary": "Filter up to 25 records against up to 10 yes/no criteria you supply. Each record comes back with keep / review / drop, a reason naming the criterion it failed, a 0-10 score and the per-criterion probabilities. Never drops a record it could not read or could not judge: those come back as review or keep, flagged. Built on a decision model rather than a chat model, so it is a flat per-call price with no token accounting on your side."
}What the leaf hashes
{"body":"2735094113a79772c1ff113078ac6d262e2194e06129b463027ca665fb189c1e","id":125403,"kind":"listing","method":"baseline/1","observed_us":1793025626155803,"prev":null,"subject":"x402_bazaar:https://x402-production-0f93.up.railway.app/v1/filter","subject_kind":"source_record"}Proof
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- Day root
- 0xf43e8dcc3d451a4788b26be904c55e8c4c0fa75c9666796c51db38d37e2c0df8
- Chained
- 0x702d5ac508f08b0d1accf36af25822d8e5660367494edd17a642fb61e158a57a
- Published
- On Arc Testnet, block 69251483: 0x495162f8936e19f0039918feebe6c307f327cd6bf8c37219620b1970041fa9ae