Launch Evidence Digest
Launch Evidence Digest. Descriptive digest of token launches observed in a time window: count, median terminal multiple, share that ended below -70%/-90%, and the launchpads involved. Facts already observed on chain — not a forecast and not a trading signal.
10000 (raw units)
price
18
calls / 30d
7
unique payers
2026-09-14
updated
Provider
app.tenna.ai · discovered, not yet claimed by its owner
Payment (x402 accepts[])
[
{
"scheme": "exact",
"network": "eip155:8453",
"payTo": "0x7eaf3c393a8996e124c0fa7ccbc55019854c4c5b",
"asset": "0x833589fcd6edb6e08f4c7c32d4f71b54bda02913",
"amount": "10000",
"maxTimeoutSeconds": 60
}
]Output schema
{
"bazaar": {
"discoverable": true,
"info": {
"input": {
"body": {
"offering": "launch_digest",
"window": "24h"
},
"bodyType": "json",
"method": "POST",
"type": "http"
},
"output": {
"example": {
"launches": 1,
"limitations": [
"<limitations>"
],
"offering": "launch_digest",
"provenance": {
"auditedDeliverableHash": null,
"generatedAt": 1,
"ledgerLaunchCount": null,
"ledgerSpanHours": null,
"resultHash": null,
"rubricVersion": null,
"source": "<source>"
},
"schemaVersion": "<schemaVersion>"
},
"type": "json"
}
},
"resource": "https://app.tenna.ai/api/x402/lumi/launch_digest",
"schema": {
"$schema": "https://json-schema.org/draft/2020-12/schema",
"properties": {
"input": {
"additionalProperties": false,
"properties": {
"body": {
"additionalProperties": false,
"description": "Window and cohort to summarise.",
"properties": {
"cohort": {
"description": "Launch cohort, or 'all'.",
"enum": [
"memecoin",
"virtual_quoted",
"all"
],
"type": "string"
},
"offering": {
"const": "launch_digest",
"description": "Offering identifier. Must be exactly 'launch_digest'.",
"type": "string"
},
"window": {
"description": "Look-back window.",
"enum": [
"24h",
"7d",
"30d"
],
"type": "string"
}
},
"required": [
"offering",
"window"
],
"type": "object"
},
"bodyType": {
"enum": [
"json"
],
"type": "string"
},
"method": {
"enum": [
"POST"
],
"type": "string"
},
"type": {
"const": "http",
"type": "string"
}
},
"required": [
"type",
"method",
"bodyType",
"body"
],
"type": "object"
},
"output": {
"properties": {
"example": {
"additionalProperties": true,
"properties": {
"above10xPct": {
"description": "Share ending at or above 10.0x of t0. Subset of profitablePct.",
"type": [
"number",
"null"
]
},
"cohort": {
"description": "Launch cohort this result covers.",
"type": "string"
},
"cohortNote_en": {
"description": "States what the cohort filter removed and that unlabelledLaunchpads is counted before that filter.",
"type": "string"
},
"down70Pct": {
"description": "Share ending at or below 0.30x of t0. Overlaps down90Pct rather than partitioning it.",
"type": [
"number",
"null"
]
},
"down90Pct": {
"description": "Share ending at or below 0.10x of t0. Subset of down70Pct.",
"type": [
"number",
"null"
]
},
"excludedByCohort": {
"description": "Launches inside the window that the cohort filter removed. They are not in `launches` or any percentage. Zero when cohort='all'.",
"type": "integer"
},
"interim": {
"description": "Same figures computed on unfinished launches, named 'SoFar' so they cannot be read as outcomes. Null when outcomeState is SETTLED.",
"type": [
"object",
"null"
]
},
"launches": {
"description": "Launches observed in the window.",
"type": "integer"
},
"launchpadCountUnitsEn": {
"description": "Inline clarification beside launchpads that launchpads and unlabelledLaunchpads count distinct labels, while launches, excludedByCohort, and windowTotal count launch records.",
"type": "string"
},
"launchpads": {
"description": "Known launchpad labels in this window.",
"items": {
"type": "string"
},
"type": "array"
},
"limitations": {
"description": "Coverage limits and missing data, always disclosed.",
"items": {
"type": "string"
},
"type": "array"
},
"maturity": {
"description": "Control group of launches older than matureAfterHours, so a short window cannot be read without its mature counterpart. Carries its own population statement (matureCohort, maturePopulation, matureNote_en): it shares the cohort rule but contains different launches drawn from the full ledger, not this window.",
"type": "object"
},
"medianTerminalMultiple": {
"description": "Median of last observed price divided by t0, where t0 is the median of the pool's first swaps.",
"type": [
"number",
"null"
]
},
"offering": {
"const": "launch_digest",
"description": "Offering that produced this result.",
"type": "string"
},
"outcomeState": {
"description": "SETTLED when the window's launches have finished, INTERIM_ONLY when they have not. Outcome fields are null in the latter case because a share ending above 1.0x cannot be stated for launches that have not ended; the same figures appear under interim.",
"type": "string"
},
"profitablePct": {
"description": "Share ending above 1.0x of t0. t0 is the median of the first swaps, an entry generally not obtainable after launch, so this is not the return a later buyer would have earned.",
"type": [
"number",
"null"
]
},
"provenance": {
"description": "Reproducibility metadata so another agent can audit this.",
"properties": {
"auditedDeliverableHash": {
"description": "Explicit alias for resultHash on deliverable-audit results; hashes the buyer-supplied input, not the audit envelope.",
"type": [
"string",
"null"
]
},
"generatedAt": {
"description": "Unix seconds.",
"type": "integer"
},
"ledgerLaunchCount": {
"description": "Launches in the ledger. Null when the offering is not derived from the launch ledger — this means not applicable, not collection failure.",
"type": [
"integer",
"null"
]
},
"ledgerSpanHours": {
"description": "Hours of history covered. Null when the offering is not derived from the launch ledger.",
"type": [
"number",
"null"
]
},
"resultHash": {
"description": "Hash of the audited input, so the same verdict can be reproduced. Present on audit offerings.",
"type": [
"string",
"null"
]
},
"rubricVersion": {
"description": "Rubric the verdict was produced under. Present on audit offerings.",
"type": [
"string",
"null"
]
},
"source": {
"description": "Data origin.",
"type": "string"
}
},
"type": "object"
},
"schemaVersion": {
"description": "Deliverable contract version.",
"type": "string"
},
"topOutcomeLaunchpadConcentration": {
"description": "Dominant launchpad share among the displayed top outcomes and among all in-cohort launches, so concentration can be audited without inferring it from the ranked rows.",
"type": "object"
},
"topOutcomeOutlierCount": {
"description": "How many topOutcomes rows are marked multipleOutlier: their multiple sits orders of magnitude above every other row shown, which happens when a token's first swaps were at a dust price. Rows are marked, never removed.",
"type": "integer"
},
"topOutcomes": {
"description": "Best observed outcomes, ranked across the whole cohort and window rather than per launchpad. Each row carries multipleState and observationAgeHours so an INTERIM_SO_FAR multiple cannot be read as final.",
"items": {
"type": "object"
},
"type": "array"
},
"topOutcomesNote_en": {
"description": "States the ranking scope (cohort-wide, not per launchpad) and, while outcomeState is INTERIM_ONLY, that the multiples in topOutcomes are values so far despite their names.",
"type": "string"
},
"unlabelledLaunchRecords": {
"description": "Launch RECORDS in the window whose launchpad label is unknown, before the cohort filter.",
"type": "integer"
},
"unlabelledLaunchRecordsInCohort": {
"description": "Launch RECORDS inside the selected cohort whose label is unknown. Structurally zero unless cohort='all'.",
"type": "integer"
},
"unlabelledLaunchRecordsNote_en": {
"description": "States the unknown-label record count and why the in-cohort figure is structurally zero outside cohort='all'.",
"type": "string"
},
"unlabelledLaunchpads": {
"description": "Counted across the whole window BEFORE the cohort filter, so zero here means the window really had none. Distinct unknown labels, counted but not listed.",
"type": "integer"
},
"window": {
"description": "Look-back window this result covers.",
"type": "string"
},
"windowHours": {
"description": "The analysis window in hours. Distinct from provenance.ledgerSpanHours, which is retained history.",
"type": [
"integer",
"null"
]
},
"windowTotal": {
"description": "Every launch observed in the window before the cohort filter. Always equals launches + excludedByCohort, so the split can be checked inside the deliverable.",
"type": "integer"
}
},
"required": [
"schemaVersion",
"offering",
"provenance",
"limitations",
"launches"
],
"type": "object"
},
"type": {
"type": "string"
}
},
"required": [
"type"
],
"type": "object"
}
},
"required": [
"input"
],
"type": "object"
}
}
}Use it
curl
curl "https://app.tenna.ai/api/x402/lumi/launch_digest" # -> 402 Payment Required, accepts[] lists how to pay # retry with a PAYMENT-SIGNATURE (or PAYMENT header) once paid
JavaScript
const res = await fetch("https://app.tenna.ai/api/x402/lumi/launch_digest");
if (res.status === 402) {
const { accepts } = await res.json();
// pay one of accepts[] via an x402 client, then retry with the payment header
}Python
import httpx
res = httpx.get("https://app.tenna.ai/api/x402/lumi/launch_digest")
if res.status_code == 402:
accepts = res.json()["accepts"]
# pay one of accepts[] via an x402 client, then retry with the payment headerMachine-readable
Everything on this page is also available as clean JSON at /resources/5508.json, and this resource appears in /discovery/resources and /discovery/search.