← The evidence ledger
Evidence row 676
Observed , by baseline/1.
- Kind
- listing
- About
- source_record agentic_market:aialign-halowerk-com
- Recorded
- Previous row
- None: the first of its kind about this subject
- Body SHA-256
- 9649d82744e1b7e0ef6668bc175fa76a7fd0e967d37898256e50a4ad67246b81
- Leaf
- 0xf865c03f53a84fe44eac01ed9fb6b8b592f63a6b75e3e737a0e80bcbad088fee
What was observed
{
"endpoints": [
[
"x402",
"https://aialign.halowerk.com/v1/agent-collusion"
],
[
"x402",
"https://aialign.halowerk.com/v1/bias-audit"
],
[
"x402",
"https://aialign.halowerk.com/v1/capability-eval"
],
[
"x402",
"https://aialign.halowerk.com/v1/confidence-calib"
],
[
"x402",
"https://aialign.halowerk.com/v1/goal-drift"
],
[
"x402",
"https://aialign.halowerk.com/v1/hallucination-rate"
],
[
"x402",
"https://aialign.halowerk.com/v1/memory-sanitize"
],
[
"x402",
"https://aialign.halowerk.com/v1/resource-hog"
],
[
"x402",
"https://aialign.halowerk.com/v1/sycophancy-detect"
]
],
"name": "aialign.halowerk.com",
"owner_address": null,
"raw": {
"caip2_networks": [
"eip155:8453"
],
"category": "",
"description": "",
"domain": "aialign.halowerk.com",
"endpoints": [
{
"description": "Requires the same agents in each supplied round, computes each pair’s observed action agreement, expected agreement from marginal action frequencies and chance-corrected kappa, then flags high positive agreement against a supplied threshold. Coordination can be benign or task-driven; this metric does not prove communication, intent or collusion.",
"method": "POST",
"parameters": [
{
"default": null,
"description": "",
"enumValues": [],
"example": 0.6,
"group": "body",
"name": "kappa_threshold",
"required": false,
"type": "number"
},
{
"default": null,
"description": "",
"enumValues": [],
"example": [],
"group": "body",
"name": "rounds",
"required": false,
"type": "array"
}
],
"pricing": {
"amount": "0.005",
"currency": "USDC",
"maxAmount": "",
"minAmount": "",
"network": "eip155:8453",
"scheme": "exact"
},
"providerName": "",
"quality": {
"l30DaysTotalCalls": "3",
"l30DaysUniquePayers": "3"
},
"serviceName": "",
"tags": [],
"url": "https://aialign.halowerk.com/v1/agent-collusion"
},
{
"description": "Calculates each group positive-outcome rate, compares it with an explicit or automatically selected reference group, and reports rate differences and selection-rate ratios. Aggregate disparity metrics do not establish discrimination, fairness, causation or legal compliance and can conceal intersectional or sampling effects.",
"method": "POST",
"parameters": [
{
"default": null,
"description": "",
"enumValues": [],
"example": [],
"group": "body",
"name": "groups",
"required": false,
"type": "array"
},
{
"default": null,
"description": "",
"enumValues": [],
"example": 0.8,
"group": "body",
"name": "minimum_selection_rate_ratio",
"required": false,
"type": "number"
},
{
"default": null,
"description": "",
"enumValues": [],
"example": "group-a",
"group": "body",
"name": "reference_group_id",
"required": false,
"type": "string"
}
],
"pricing": {
"amount": "0.004",
"currency": "USDC",
"maxAmount": "",
"minAmount": "",
"network": "eip155:8453",
"scheme": "exact"
},
"providerName": "",
"quality": {
"l30DaysTotalCalls": "4",
"l30DaysUniquePayers": "4"
},
"serviceName": "",
"tags": [],
"url": "https://aialign.halowerk.com/v1/bias-audit"
},
{
"description": "Computes weighted pass rates and weighted scores from caller-labeled test outcomes, with deterministic category summaries. It does not run tests, validate labels, measure untested capabilities or establish deployment safety; the result is only as representative as the supplied evaluation set.",
"method": "POST",
"parameters": [
{
"default": null,
"description": "",
"enumValues": [],
"example": [],
"group": "body",
"name": "test_cases",
"required": false,
"type": "array"
}
],
"pricing": {
"amount": "0.003",
"currency": "USDC",
"maxAmount": "",
"minAmount": "",
"network": "eip155:8453",
"scheme": "exact"
},
"providerName": "",
"quality": {
"l30DaysTotalCalls": "2",
"l30DaysUniquePayers": "2"
},
"serviceName": "",
"tags": [],
"url": "https://aialign.halowerk.com/v1/capability-eval"
},
{
"description": "Compares scalar confidence with binary correctness, calculates mean squared Brier loss, partitions confidence into caller-selected equal-width bins and reports expected and maximum calibration error. It does not validate labels, correct class imbalance or prove calibration beyond the supplied sample.",
"method": "POST",
"parameters": [
{
"default": null,
"description": "",
"enumValues": [],
"example": 5,
"group": "body",
"name": "bin_count",
"required": false,
"type": "number"
},
{
"default": null,
"description": "",
"enumValues": [],
"example": [],
"group": "body",
"name": "predictions",
"required": false,
"type": "array"
}
],
"pricing": {
"amount": "0.003",
"currency": "USDC",
"maxAmount": "",
"minAmount": "",
"network": "eip155:8453",
"scheme": "exact"
},
"providerName": "",
"quality": {
"l30DaysTotalCalls": "2",
"l30DaysUniquePayers": "2"
},
"serviceName": "",
"tags": [],
"url": "https://aialign.halowerk.com/v1/confidence-calib"
},
{
"description": "Aligns caller-labeled dimensions, computes cosine similarity and a normalized L1 difference, and flags drift against a supplied cosine threshold. It does not infer goals from behavior, decide which goal is correct or detect deception; results depend entirely on the supplied vector representation.",
"method": "POST",
"parameters": [
{
"default": null,
"description": "",
"enumValues": [],
"example": [],
"group": "body",
"name": "dimensions",
"required": false,
"type": "array"
},
{
"default": null,
"description": "",
"enumValues": [],
"example": 0.97,
"group": "body",
"name": "minimum_cosine_similarity",
"required": false,
"type": "number"
}
],
"pricing": {
"amount": "0.003",
"currency": "USDC",
"maxAmount": "",
"minAmount": "",
"network": "eip155:8453",
"scheme": "exact"
},
"providerName": "",
"quality": {
"l30DaysTotalCalls": "2",
"l30DaysUniquePayers": "2"
},
"serviceName": "",
"tags": [],
"url": "https://aialign.halowerk.com/v1/goal-drift"
},
{
"description": "Tokenizes each claim and its supplied evidence, removes a small declared English stop-word list, and reports the fraction of unique claim tokens present in evidence. Coverage below a supplied threshold is flagged. This is lexical grounding screening only: overlap does not prove truth, low overlap does not prove hallucination, and the service does not retrieve or validate evidence.",
"method": "POST",
"parameters": [
{
"default": null,
"description": "",
"enumValues": [],
"example": [],
"group": "body",
"name": "claims",
"required": false,
"type": "array"
},
{
"default": null,
"description": "",
"enumValues": [],
"example": 0.6,
"group": "body",
"name": "minimum_coverage_fraction",
"required": false,
"type": "number"
}
],
"pricing": {
"amount": "0.004",
"currency": "USDC",
"maxAmount": "",
"minAmount": "",
"network": "eip155:8453",
"scheme": "exact"
},
"providerName": "",
"quality": {
"l30DaysTotalCalls": "2",
"l30DaysUniquePayers": "2"
},
"serviceName": "",
"tags": [],
"url": "https://aialign.halowerk.com/v1/hallucination-rate"
},
{
"description": "Replaces private-key blocks, credential assignments, email addresses, Luhn-valid payment-card candidates, IPv4 addresses and phone-like digit strings, returning only sanitized text and per-category counts. The request archive stores only input field names and the result archive stores only this method via the endpoint factory. Pattern redaction is incomplete: it cannot identify every secret, name, address or contextual identifier and must not be treated as irreversible anonymization.",
"method": "POST",
"parameters": [
{
"default": null,
"description": "",
"enumValues": [],
"example": "typed",
"group": "body",
"name": "replacement_style",
"required": false,
"type": "string"
},
{
"default": null,
"description": "",
"enumValues": [],
"example": "Contact analyst@example.org or +49 30 12345678. api_key=demo-secret-value must be removed before memory storage.",
"group": "body",
"name": "text",
"required": false,
"type": "string"
}
],
"pricing": {
"amount": "0.003",
"currency": "USDC",
"maxAmount": "",
"minAmount": "",
"network": "eip155:8453",
"scheme": "exact"
},
"providerName": "",
"quality": {
"l30DaysTotalCalls": "2",
"l30DaysUniquePayers": "2"
},
"serviceName": "",
"tags": [],
"url": "https://aialign.halowerk.com/v1/memory-sanitize"
},
{
"description": "Divides observed CPU, memory-time, network, tool-call and wall-time usage by caller-supplied budgets, reports exceeded dimensions and ranks observations by the maximum ratio. It does not collect telemetry, infer intent, identify inefficient algorithms or terminate an agent.",
"method": "POST",
"parameters": [
{
"default": null,
"description": "",
"enumValues": [],
"example": null,
"group": "body",
"name": "budgets",
"required": false,
"type": "object"
},
{
"default": null,
"description": "",
"enumValues": [],
"example": [],
"group": "body",
"name": "observations",
"required": false,
"type": "array"
}
],
"pricing": {
"amount": "0.003",
"currency": "USDC",
"maxAmount": "",
"minAmount": "",
"network": "eip155:8453",
"scheme": "exact"
},
"providerName": "",
"quality": {
"l30DaysTotalCalls": "2",
"l30DaysUniquePayers": "2"
},
"serviceName": "",
"tags": [],
"url": "https://aialign.halowerk.com/v1/resource-hog"
},
{
"description": "Compares term-frequency cosine similarity between a leading user position and paired independent/conditioned responses, then reports the positive similarity shift. It is a reproducible surface-form signal, not proof of agreement, truthfulness, motive or sycophancy; paraphrases and legitimate corrections can evade or trigger it.",
"method": "POST",
"parameters": [
{
"default": null,
"description": "",
"enumValues": [],
"example": [],
"group": "body",
"name": "scenarios",
"required": false,
"type": "array"
},
{
"default": null,
"description": "",
"enumValues": [],
"example": 0.2,
"group": "body",
"name": "shift_threshold",
"required": false,
"type": "number"
}
],
"pricing": {
"amount": "0.004",
"currency": "USDC",
"maxAmount": "",
"minAmount": "",
"network": "eip155:8453",
"scheme": "exact"
},
"providerName": "",
"quality": {
"l30DaysTotalCalls": "2",
"l30DaysUniquePayers": "2"
},
"serviceName": "",
"tags": [],
"url": "https://aialign.halowerk.com/v1/sycophancy-detect"
}
],
"enriched": false,
"iconUrl": "",
"id": "aialign-halowerk-com",
"integrationType": "",
"isNew": false,
"name": "aialign.halowerk.com",
"networks": [
"Base"
],
"priceSummary": {
"avgCostBasis": "exact",
"avgCostPerTransaction": "0.003556",
"currency": "USDC",
"maxAmount": "0.005",
"minAmount": "0.003"
},
"provider": "aialign.halowerk.com",
"providerUrl": "",
"serviceName": "",
"tags": []
},
"source": "agentic_market",
"summary": ""
}What the leaf hashes
{"body":"9649d82744e1b7e0ef6668bc175fa76a7fd0e967d37898256e50a4ad67246b81","id":676,"kind":"listing","method":"baseline/1","observed_us":1793025233300359,"prev":null,"subject":"agentic_market:aialign-halowerk-com","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).
- 0xf865eedaa34c41e5a0d3df116644ecd40566036f5b51711cd456695a267333e4
- 0x0a42118fdc5e63503a70d2723c9b1bd1bb8ece8fd69ede4c7eab42ba84545f95
- 0xf5292b56cb2b98bf040fcdfef03cd0bf4dbce463dd247f04f84ca1a3b264be86
- 0x3a569be2a6090b68fbd53e6fa2c8e9b17ab0250fce52ad337a0ac2565136ee5a
- 0xc3e387f869d10393720641d3c89a8885c4948a5ab9192bbd2fe9615052247246
- 0x92c55c6b4bf28b8aef27eec694ef457f984e37d306d1d79e2d1ba6a000e5f912
- 0x7c0bb55170850cea9282236f157b043d882c5ed84dc500730f0fc4412766360d
- 0x7c516d593e8ccc3091154a81c01d21855c74861ff42f231c121dd46ab019a81f
- 0x60c913cb9f6ab365a73091fed8c4efa74ad0caddec29ccd05cb049370255c742
- 0xedbb756c6884e1e4b4d8aa27e3c5a9118300a1c763d183c08ab09c58ee11482f
- 0xe3be477672f672ad65922159dceef6444408759f2808a7a1e1ba87146cf5eee0
- 0xf7eba200f6f1012d700fcc53fc6d57dcafd1019c920b1030d42fa21d4af95d94
- 0x694eb701ea36a0e3dcde192253ab85a618738bdc1e3a6e582e6f8bf9647f7a6a
- 0x44945ea9ad8b24e723ad5a8fd6d014024a49531783f74ff9229c2ab6930e84c8
- 0x68d296b1e00b4899fb83c3fba36fffaefa311eac2903067dbebfe776a12b4a9a
- 0x5fb5dda563336cd1bc1b9f44c52b76237ae72ed2145cb9290f39f304ca7dd678
- 0x74a0a08e4e7ab9aa5bfbead33dec7e1c7e8e364cff69a63720d764bbe987aadc
- Day root
- 0xf43e8dcc3d451a4788b26be904c55e8c4c0fa75c9666796c51db38d37e2c0df8
- Chained
- 0x702d5ac508f08b0d1accf36af25822d8e5660367494edd17a642fb61e158a57a
- Published
- On Arc Testnet, block 69251483: 0x495162f8936e19f0039918feebe6c307f327cd6bf8c37219620b1970041fa9ae