Score research momentum for any technology from OpenAlex (CC0) — returns momentu
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.
Answeringour last check, 2026-09-24
1 of 1checks answered this week
314 msmedian answer time
$0.05listed price per call
$0.05price it asked us
Paid test badge: not yet. The checks above are free: we call the tool without paying and read the payment request it sends back. The Verified badge needs paid calls whose answers match the promised output, and nobody can buy a badge.
Endpoint
GET https://answerpool.io/v1/technology/momentum
| Category | Search and research |
|---|---|
| Provider host | answerpool.io |
| Networks | eip155:8453 |
| Payment schemes | exact |
| Self-reported calls, 30 days | 1 from 1 payers (the provider's figure, not ours) |
Our checks, last 30 days
| Day | Result | HTTP | Asked | Time |
|---|---|---|---|---|
| 2026-09-24 | valid payment request | 402 | $0.05 | 314 ms |
Example input (from the provider)
{
"method": "GET",
"type": "http"
}
Promised output schema (from the provider)
{
"$schema": "https://json-schema.org/draft/2020-12/schema",
"properties": {
"input": {
"additionalProperties": false,
"properties": {
"method": {
"enum": [
"GET",
"HEAD",
"DELETE"
],
"type": "string"
},
"queryParams": {
"additionalProperties": false,
"properties": {
"topic": {
"description": "Technology or research topic, free text.",
"maxLength": 200,
"minLength": 2,
"title": "Topic",
"type": "string"
}
},
"required": [
"topic"
],
"title": "Input",
"type": "object"
},
"type": {
"const": "http",
"type": "string"
}
},
"required": [
"type",
"method"
],
"type": "object"
},
"output": {
"properties": {
"example": {
"properties": {
"acceleration_score": {
"title": "Acceleration Score",
"type": "number"
},
"cache_hit": {
"default": false,
"title": "Cache Hit",
"type": "boolean"
},
"citation_growth": {
"description": "Growth in works ranking in the top decile of citations for their publication year (age-normalized); lagged to citation_growth_as_of_year.",
"properties": {
"1y": {
"anyOf": [
{
"type": "number"
},
{
"type": "null"
}
],
"default": null,
"title": "1Y"
},
"3y": {
"anyOf": [
{
"type": "number"
},
{
"type": "null"
}
],
"default": null,
"title": "3Y"
},
"5y": {
"anyOf": [
{
"type": "number"
},
{
"type": "null"
}
],
"default": null,
"title": "5Y"
}
},
"title": "GrowthSeries",
"type": "object"
},
"citation_growth_as_of_year": {
"anyOf": [
{
"type": "integer"
},
{
"type": "null"
}
],
"title": "Citation Growth As Of Year"
},
"computed_at": {
"title": "Computed At",
"type": "string"
},
"confidence": {
"description": "Grounded estimate combining evidence quantity, consistency, coverage, and model self-assessment.",
"title": "Confidence",
"type": "number"
},
"data_as_of": {
"title": "Data As Of",
"type": "string"
},
"disclaimer": {
"default": "Model-derived analytical estimate over OpenAlex (CC0) evidence; not ground truth.",
"title": "Disclaimer",
"type": "string"
},
"evidence_count": {
"title": "Evidence Count",
"type": "integer"
},
"important_recent_works": {
"items": {
"properties": {
"cited_by": {
"title": "Cited By",
"type": "integer"
},
"id": {
"title": "Id",
"type": "string"
},
"title": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"title": "Title"
},
"year": {
"anyOf": [
{
"type": "integer"
},
{
"type": "null"
}
],
"title": "Year"
}
},
"required": [
"id",
"title",
"year",
"cited_by"
],
"title": "WorkRef",
"type": "object"
},
"title": "Important Recent Works",
"type": "array"
},
"institution_growth": {
"anyOf": [
{
"type": "number"
},
{
"type": "null"
}
],
"description": "Growth in the number of institutions with >=3 matching works, last 3y vs prior 3y; null when unmeasurable.",
"title": "Institution Growth"
},
"key_drivers": {
"items": {
"type": "string"
},
"title": "Key Drivers",
"type": "array"
},
"leading_institutions": {
"items": {
"properties": {
"id": {
"title": "Id",
"type": "string"
},
"name": {
"anyOf": [
{
"type": "string"