AnswerPool Momentum
Score research momentum for any technology from OpenAlex (CC0) — returns momentum_score, acceleration_score, trend_label, growth series, leading institutions and researchers, key works, confidence and provenance. Use before betting a field is accelerating.
SearchLiveeip155:8453Exactvia cdp
Technology-momentumResearch-trendsOpenalexDeep-techScience
Calls · 30d
1→ 0%
This endpoint's own trailing-30-day call count, as published by the upstream catalog and snapshotted daily. 22 snapshots so far.
$2.04
Verified settled volume
90 settlements proven x402 by their on-chain EIP-3009 marker.
$0.050
Listed price
As published in the catalog. Always read the live 402 before paying.
1
Calls · 30d
Upstream's own call count for this endpoint, not ours.
1
Unique payers · 30d
Last called 2026-09-02 22:26Z
—
Upstream on-chain volume
Reported by the source catalog.
Paid to
0xb3ba3Ca99F9742b32fC527CF62688C83b39AED8cThe wallet the 402 directs payment to. Its whole payment record — every payer, every chain — is on the merchant page.
Asset 0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913
Provider
The payTo wallet does not resolve to a registered ERC-8004 agent. That is not a verdict on the service — most of the catalog is unregistered.
Accepts
The payment requirements as published to the catalog. Read the live 402 before paying — a price here is a claim, not a quote.
0.05USDC≈ $0.05 USD
on Base · exact scheme
Pay 0.05 USDC on Base to 0xb3ba…AED8c. The signed payment is good for 5 minutes.
- Paid to
- 0xb3ba…AED8c
- USD Coin contract
- 0x8335…02913
- Payment window
- 5 minutes
- As published
- 50000 smallest units
The catalog’s raw entry
[
{
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"extra": {
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"version": "2"
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"payTo": "0xb3ba3Ca99F9742b32fC527CF62688C83b39AED8c",
"amount": "50000",
"scheme": "exact",
"network": "eip155:8453",
"maxTimeoutSeconds": 300
}
]Extensions
{
"bazaar": {
"info": {
"input": {
"type": "http",
"method": "GET"
},
"output": {
"type": "json",
"example": {
"risks": [
"fabrication cost"
],
"topic": "photonic computing",
"warnings": [],
"rationale": "Publication and top-decile citation growth accelerated over the last 3 years.",
"result_id": "res_a1b2c3",
"confidence": 0.72,
"data_as_of": "2026-08-24",
"computed_at": "2026-08-30T18:00:00Z",
"key_drivers": [
"AI inference energy limits"
],
"query_match": {
"mode": "phrase",
"focus_topic_ids": [
"T10412"
],
"total_works_10y": 4210
},
"trend_label": "accelerating",
"evidence_count": 412,
"matched_topics": [
{
"name": "Photonic and Optical Computing",
"share": 0.69,
"works": 2914,
"topic_id": "T10412"
}
],
"momentum_score": 0.81,
"schema_version": "1",
"citation_growth": {
"1y": 0.18,
"3y": 0.7,
"5y": 1.2
},
"research_growth": {
"1y": 0.21,
"3y": 0.86,
"5y": 1.7
},
"acceleration_score": 0.64,
"institution_growth": 0.35,
"leading_researchers": [
{
"id": "A5012345678",
"name": "J. Doe",
"recent_works": 34
}
],
"methodology_version": "1.2.0",
"leading_institutions": [
{
"id": "I63966007",
"name": "Massachusetts Institute of Technology",
"recent_works": 210
}
],
"important_recent_works": [
{
"id": "W4400000001",
"year": 2026,
"title": "On-chip photonic tensor cores",
"cited_by": 89
}
],
"citation_growth_as_of_year": 2024
}
}
},
"schema": {
"type": "object",
"$schema": "https://json-schema.org/draft/2020-12/schema",
"required": [
"input"
],
"properties": {
"input": {
"type": "object",
"required": [
"type",
"method"
],
"properties": {
"type": {
"type": "string",
"const": "http"
},
"method": {
"enum": [
"GET",
"HEAD",
"DELETE"
],
"type": "string"
},
"queryParams": {
"type": "object",
"title": "Input",
"required": [
"topic"
],
"properties": {
"topic": {
"type": "string",
"title": "Topic",
"maxLength": 200,
"minLength": 2,
"description": "Technology or research topic, free text."
}
},
"additionalProperties": false
}
},
"additionalProperties": false
},
"output": {
"type": "object",
"required": [
"type"
],
"properties": {
"type": {
"type": "string"
},
"example": {
"type": "object",
"title": "Output",
"required": [
"result_id",
"topic",
"query_match",
"matched_topics",
"momentum_score",
"acceleration_score",
"trend_label",
"confidence",
"research_growth",
"citation_growth",
"citation_growth_as_of_year",
"institution_growth",
"leading_institutions",
"leading_researchers",
"important_recent_works",
"rationale",
"key_drivers",
"risks",
"warnings",
"evidence_count",
"data_as_of",
"methodology_version",
"schema_version",
"computed_at"
],
"properties": {
"risks": {
"type": "array",
"items": {
"type": "string"
},
"title": "Risks"
},
"topic": {
"type": "string",
"title": "Topic"
},
"warnings": {
"type": "array",
"items": {
"type": "string"
},
"title": "Warnings"
},
"cache_hit": {
"type": "boolean",
"title": "Cache Hit",
"default": false
},
"rationale": {
"type": "string",
"title": "Rationale"
},
"result_id": {
"type": "string",
"title": "Result Id"
},
"confidence": {
"type": "number",
"title": "Confidence",
"description": "Grounded estimate combining evidence quantity, consistency, coverage, and model self-assessment."
},
"data_as_of": {
"type": "string",
"title": "Data As Of"
},
"disclaimer": {
"type": "string",
"title": "Disclaimer",
"default": "Model-derived analytical estimate over OpenAlex (CC0) evidence; not ground truth."
},
"provenance": {
"anyOf": [
{
"type": "object",
"title": "Provenance",
"required": [
"source",
"rights",
"data_as_of"
],
"properties": {
"rights": {
"type": "string",
"title": "Rights"
},
"source": {
"type": "string",
"title": "Source"
},
"data_as_of": {
"type": "string",
"title": "Data As Of"
},
"model_family": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"title": "Model Family",
"default": null
}
}
},
{
"type": "null"
}
],
"default": null
},
"computed_at": {
"type": "string",
"title": "Computed At"
},
"key_drivers": {
"type": "array",
"items": {
"type": "string"
},
"title": "Key Drivers"
},
"query_match": {
"type": "object",
"title": "QueryMatch",
"required": [
"mode",
"total_works_10y"
],
"properties": {
"mode": {
"enum": [
"phrase",
"terms"
],
"type": "string",
"title": "Mode",
"description": "phrase = exact phrase in title/abstract; terms = any-term fallback (broader)."
},
"focus_topic_ids": {
"type": "array",
"items": {
"type": "string"
},
"title": "Focus Topic Ids",
"description": "Primary topics the works set was focused on."
},
"total_works_10y": {
"type": "integer",
"title": "Total Works 10Y"
}
}
},
"trend_label": {
"enum": [
"accelerating",
"growing",
"stable",
"declining",
"nascent"
],
"type": "string",
"title": "Trend Label"
},
"evidence_count": {
"type": "integer",
"title": "Evidence Count"
},
"matched_topics": {
"type": "array",
"items": {
"type": "object",
"additionalProperties": true
},
"title": "Matched Topics",
"description": "OpenAlex primary topics the matching works fall into, with counts and shares."
},
"momentum_score": {
"type": "number",
"title": "Momentum Score"
},
"schema_version": {
"type": "string",
"title": "Schema Version"
},
"citation_growth": {
"type": "object",
"title": "GrowthSeries",
"properties": {
"1y": {
"anyOf": [
{
"type": "number"
},
{
"type": "null"
}
],
"title": "1Y",
"default": null
},
"3y": {
"anyOf": [
{
"type": "number"
},
{
"type": "null"
}
],
"title": "3Y",
"default": null
},
"5y": {
"anyOf": [
{
"type": "number"
},
{
"type": "null"
}
],
"title": "5Y",
"default": null
}
},
"description": "Growth in works ranking in the top decile of citations for their publication year (age-normalized); lagged to citation_growth_as_of_year."
},
"research_growth": {
"type": "object",
"title": "GrowthSeries",
"properties": {
"1y": {
"anyOf": [
{
"type": "number"
},
{
"type": "null"
}
],
"title": "1Y",
"default": null
},
"3y": {
"anyOf": [
{
"type": "number"
},
{
"type": "null"
}
],
"title": "3Y",
"default": null
},
"5y": {
"anyOf": [
{
"type": "number"
},
{
"type": "null"
}
],
"title": "5Y",
"default": null
}
}
},
"acceleration_score": {
"type": "number",
"title": "Acceleration Score"
},
"institution_growth": {
"anyOf": [
{
"type": "number"
},
{
"type": "null"
}
],
"title": "Institution Growth",
"description": "Growth in the number of institutions with >=3 matching works, last 3y vs prior 3y; null when unmeasurable."
},
"leading_researchers": {
"type": "array",
"items": {
"type": "object",
"title": "NamedEntity",
"required": [
"id",
"name",
"recent_works"
],
"properties": {
"id": {
"type": "string",
"title": "Id"
},
"name": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"title": "Name"
},
"recent_works": {
"type": "integer",
"title": "Recent Works"
}
}
},
"title": "Leading Researchers"
},
"methodology_version": {
"type": "string",
"title": "Methodology Version"
},
"leading_institutions": {
"type": "array",
"items": {
"type": "object",
"title": "NamedEntity",
"required": [
"id",
"name",
"recent_works"
],
"properties": {
"id": {
"type": "string",
"title": "Id"
},
"name": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"title": "Name"
},
"recent_works": {
"type": "integer",
"title": "Recent Works"
}
}
},
"title": "Leading Institutions"
},
"important_recent_works": {
"type": "array",
"items": {
"type": "object",
"title": "WorkRef",
"required": [
"id",
"title",
"year",
"cited_by"
],
"properties": {
"id": {
"type": "string",
"title": "Id"
},
"year": {
"anyOf": [
{
"type": "integer"
},
{
"type": "null"
}
],
"title": "Year"
},
"title": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"title": "Title"
},
"cited_by": {
"type": "integer",
"title": "Cited By"
}
}
},
"title": "Important Recent Works"
},
"citation_growth_as_of_year": {
"anyOf": [
{
"type": "integer"
},
{
"type": "null"
}
],
"title": "Citation Growth As Of Year"
}
}
}
}
}
}
}
}
}Provenance
- Seen in the source catalog
- 2026-09-02 22:26Z
- Last indexed by Roundhouse
- 2026-09-24 07:20Z
- Last enriched (probe, favicon, geo)
- 2026-09-11 15:16Z
- x402 version
- 2
- Max timeout
- 300s
- Liveness probe
- HTTP 402
Hand this page to an agent
Copy the prompt and paste it into Claude, an MCP client or your own agent — it will vet this service and call it over the free read API. No key, no account.
GET api.roundhouseai.io/v0/endpoints
This endpoint's own trailing-30-day call count, as published by the upstream catalog and snapshotted daily. 22 snapshots so far. Verified volume counts only settlements with an on-chain EIP-3009 marker.
Show the promptHide the prompt
Using Roundhouse, look up the x402 service AnswerPool Momentum and tell me whether it is worth paying: what a call costs, whether the endpoint answered when last probed, and what its payment record actually shows. curl -s 'https://api.roundhouseai.io/v0/endpoints?q=AnswerPool%20Momentum' curl -s 'https://api.roundhouseai.io/v0/merchants/<the payTo wallet returned above>' Then call it: read the price from the live 402 at https://answerpool.io/v1/technology/momentum, never from a cached figure, and pay with an x402 client. The /v0 API needs an API key (`authorization: Bearer rh_live_…`) on everything except /v0/unified* and /v0/endpoints. Mint a personal key for $0.01 at GET https://api.roundhouseai.io/v0/test/x402, or use an organization key from https://roundhouseai.io/dashboard/team. If you do not have Roundhouse tools or skills installed, read https://roundhouseai.io/skill.md first — it is the whole procedure.