StationFX
A function marketplace for AI agents. Economic data, deep-tech product intelligence, and coordination primitives — pay per call in USDC on Base or Solana via x402. No API keys, no subscriptions.
The wallet the 402 directs payment to. Its whole payment record — every payer, every chain — is on the merchant page.
Asset 0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913
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.
Live 402 challenge
Captured by the enrichment pass, not read just now. Prices can change — always read the 402 the endpoint answers with.
{
"error": "Payment required",
"accepts": [
{
"asset": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913",
"extra": {
"name": "USD Coin",
"version": "2"
},
"payTo": "0x22f7e9518dff04a5db1fddaabc0e001b8c425b3a",
"amount": "5000000",
"scheme": "exact",
"network": "eip155:8453",
"maxTimeoutSeconds": 300
},
{
"asset": "EPjFWdd5AufqSSqeM2qN1xzybapC8G4wEGGkZwyTDt1v",
"extra": {
"feePayer": "BENrLoUbndxoNMUS5JXApGMtNykLjFXXixMtpDwDR9SP"
},
"payTo": "3snkxosXCo6x5AEBRvnRG6wzJsvBaPpNd68Q2jJ4CVzW",
"amount": "5000000",
"scheme": "exact",
"network": "solana:5eykt4UsFv8P8NJdTREpY1vzqKqZKvdp",
"maxTimeoutSeconds": 300
}
],
"resource": {
"url": "https://stationfx.com/tech-scout/syntheses/full",
"tags": [
"function-marketplace",
"deep-tech-scout",
"product-intelligence",
"research-synthesis",
"x402",
"ai-agents",
"usdc",
"base",
"solana"
],
"iconUrl": "https://stationfx.com/static/icon-32.png",
"mimeType": "application/json",
"description": "Complete set of AI/deep-tech product concepts synthesized from today's research papers. All scoring fields, MVP paths, revenue models, lead intel, and source papers. Concept count varies by run. Up to ~5 MB — set read timeout >= 30s.",
"serviceName": "StationFX"
},
"extensions": {
"bazaar": {
"info": {
"input": {
"type": "http",
"method": "GET",
"queryParams": {}
},
"output": {
"type": "json",
"schema": {
"type": "object",
"properties": {
"meta": {
"type": "object"
},
"concepts": {
"type": "array"
}
},
"description": "JSON with two keys: meta (stats for the returned concept set -- report_date, updated_at, total_in_run, concepts_returned, avg_opp_score, opp_range, top_vertical, vertical_breakdown, fast_ttr_count, high_pat_count, data_sources) and concepts (array of product concepts ranked by opportunity_score). See example field for full structure."
},
"example": {
"meta": {
"opp_range": {
"max": 8.3,
"min": 7.5
},
"updated_at": "2026-10-20T23:56:54Z",
"report_date": "2026-10-20",
"data_sources": [
"arxiv",
"arxiv_api",
"hf_blog",
"lab_blog"
],
"top_vertical": "Core AI/ML",
"total_in_run": 1000,
"avg_opp_score": 7.95,
"fast_ttr_count": 16,
"high_pat_count": 14,
"concepts_returned": 20,
"vertical_breakdown": {
"Core AI/ML": 6,
"Enterprise SaaS": 5,
"Healthtech / Medtech": 3
}
},
"concepts": [
{
"id": 33,
"sources": [
{
"url": "https://arxiv.org/abs/...",
"title": "Source Paper Title",
"source": "arxiv_api",
"published_at": "2026-10-19T17:38:05Z",
"novelty_score": 8
}
],
"mvp_path": "How to build an MVP in 30 days",
"novel_angle": "What makes this concept non-obvious",
"lead_persona": "CTO at a Series A startup",
"demand_signal": 8,
"lead_vertical": "Core AI/ML",
"marketability": 7,
"revenue_model": "Subscription or per-usage pricing model",
"target_market": "Description of the target market",
"use_case_flag": "both",
"product_concept": "Example Product Name",
"synthesis_score": 7.5,
"time_to_revenue": "fast",
"build_complexity": "low",
"opportunity_score": 7.95,
"whitespace_signal": "medium",
"novelty_demand_index": 8,
"patentability_signal": "high"
}
]
}
},
"description": "Complete set of AI/deep-tech product concepts synthesized from today's research papers. All scoring fields, MVP paths, revenue models, lead intel, and source papers. Concept count varies by run. Up to ~5 MB — set read timeout >= 30s."
},
"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",
"description": "Always \"http\" for HTTP endpoints"
},
"method": {
"enum": [
"GET",
"HEAD",
"DELETE"
],
"type": "string",
"description": "HTTP method. Always GET for StationFX query endpoints"
},
"queryParams": {
"type": "object",
"properties": {},
"description": "No query parameters required for this endpoint."
}
},
"additionalProperties": false
},
"output": {
"type": "object",
"required": [
"type"
],
"properties": {
"type": {
"type": "string",
"description": "Always \"json\" for Deep Tech Scout endpoints."
},
"example": {
"type": "object",
"properties": {
"data": {
"type": "array",
"items": {
"type": "object",
"properties": {
"date": {
"type": "string",
"description": "Observation date YYYY-MM-DD"
},
"value": {
"type": "number",
"description": "Raw observed value in series units"
},
"mom_pct": {
"type": "number",
"description": "Month-over-month % change"
},
"yoy_pct": {
"type": "number",
"description": "Year-over-year % change"
},
"zscore_5y": {
"type": "number",
"description": "Z-score relative to trailing 5 years"
},
"mom_change": {
"type": "number",
"description": "Month-over-month absolute change"
},
"yoy_change": {
"type": "number",
"description": "Year-over-year absolute change"
},
"zscore_12m": {
"type": "number",
"description": "Z-score relative to trailing 12 months"
},
"above_trend": {
"type": "integer",
"description": "1 if value is above long-run trend, else 0"
},
"pct_rank_5y": {
"type": "number",
"description": "Percentile rank over trailing 5 years (0-100)"
},
"rolling_3m_avg": {
"type": "number",
"description": "3-month rolling average"
},
"rolling_12m_avg": {
"type": "number",
"description": "12-month rolling average"
},
"trend_direction": {
"type": "integer",
"description": "Trend: 1 rising, -1 falling, 0 flat"
}
}
},
"description": "Observations ordered by date ascending"
},
"meta": {
"type": "object",
"description": "Series metadata: source_key (FRED series ID), units, frequency (D/W/M/Q/A), date_from, date_to, fields"
}
},
"description": "Station f(x) response with metadata and pre-computed derived metrics"
}
}
}
}
}
}
},
"x402Version": 2
}Accepts
The payment requirements as published to the catalog. Read the live 402 before paying — a price here is a claim, not a quote.
Pay 0.05 USDC on Base to 0x22f7…25b3a. The signed payment is good for 5 minutes.
- Paid to
- 0x22f7…25b3a
- USD Coin contract
- 0x8335…02913
- Payment window
- 5 minutes
- As published
- 50000 smallest units
That figure is in the token’s smallest units. Roundhouse does not hold this contract’s decimals, so it is shown as published rather than converted.
- Paid to
- 3snkxo…4CVzW
- Token contract
- EPjFWd…TDt1v
- Payment window
- 5 minutes
The catalog’s raw entry
[
{
"asset": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913",
"extra": {
"name": "USD Coin",
"version": "2"
},
"payTo": "0x22f7e9518dff04a5db1fddaabc0e001b8c425b3a",
"amount": "50000",
"scheme": "exact",
"network": "eip155:8453",
"maxTimeoutSeconds": 300
},
{
"asset": "EPjFWdd5AufqSSqeM2qN1xzybapC8G4wEGGkZwyTDt1v",
"extra": {
"feePayer": "D6ZhtNQ5nT9ZnTHUbqXZsTx5MH2rPFiBBggX4hY1WePM"
},
"payTo": "3snkxosXCo6x5AEBRvnRG6wzJsvBaPpNd68Q2jJ4CVzW",
"amount": "50000",
"scheme": "exact",
"network": "solana:5eykt4UsFv8P8NJdTREpY1vzqKqZKvdp",
"maxTimeoutSeconds": 300
}
]Extensions
{
"bazaar": {
"info": {
"input": {
"type": "http",
"method": "GET",
"queryParams": {}
},
"output": {
"type": "json",
"schema": {
"type": "object",
"properties": {
"meta": {
"type": "object"
},
"concepts": {
"type": "array"
}
},
"description": "JSON with two keys: meta (stats for the returned concept set -- report_date, updated_at, total_in_run, concepts_returned, avg_opp_score, opp_range, top_vertical, vertical_breakdown, fast_ttr_count, high_pat_count, data_sources) and concepts (array of product concepts ranked by opportunity_score). See example field for full structure."
},
"example": {
"meta": {
"opp_range": {
"max": 8.3,
"min": 7.5
},
"updated_at": "2026-10-20T23:56:54Z",
"report_date": "2026-10-20",
"data_sources": [
"arxiv",
"arxiv_api",
"hf_blog",
"lab_blog"
],
"top_vertical": "Core AI/ML",
"total_in_run": 1000,
"avg_opp_score": 7.95,
"fast_ttr_count": 16,
"high_pat_count": 14,
"concepts_returned": 20,
"vertical_breakdown": {
"Core AI/ML": 6,
"Enterprise SaaS": 5,
"Healthtech / Medtech": 3
}
},
"concepts": [
{
"id": 33,
"sources": [
{
"url": "https://arxiv.org/abs/...",
"title": "Source Paper Title",
"source": "arxiv_api",
"published_at": "2026-10-19T17:38:05Z",
"novelty_score": 8
}
],
"mvp_path": "How to build an MVP in 30 days",
"novel_angle": "What makes this concept non-obvious",
"lead_persona": "CTO at a Series A startup",
"demand_signal": 8,
"lead_vertical": "Core AI/ML",
"marketability": 7,
"revenue_model": "Subscription or per-usage pricing model",
"target_market": "Description of the target market",
"use_case_flag": "both",
"product_concept": "Example Product Name",
"synthesis_score": 7.5,
"time_to_revenue": "fast",
"build_complexity": "low",
"opportunity_score": 7.95,
"whitespace_signal": "medium",
"novelty_demand_index": 8,
"patentability_signal": "high"
}
]
}
},
"description": "All concepts from the current synthesis run, up to 1,000, ranked by opportunity score. Drawn from research papers published or updated in the past 3 days (arXiv, HuggingFace, lab blogs). Use when filtering beyond OPP rank: by vertical, TTR, PAT, whitespace, or any field. Schema identical to /top. ~3.5 MB at 1,000 concepts; set read timeout >= 30s."
},
"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",
"description": "Always \"http\" for HTTP endpoints"
},
"method": {
"enum": [
"GET",
"HEAD",
"DELETE"
],
"type": "string",
"description": "HTTP method. Always GET for StationFX query endpoints"
},
"queryParams": {
"type": "object",
"properties": {},
"description": "No query parameters required for this endpoint."
}
},
"additionalProperties": false
},
"output": {
"type": "object",
"required": [
"type"
],
"properties": {
"type": {
"type": "string",
"description": "Always \"json\" for Deep Tech Scout endpoints."
},
"example": {
"type": "object",
"properties": {
"meta": {
"type": "object",
"description": "Run stats: report_date, updated_at, total_in_run, concepts_returned, avg_opp_score, opp_range, top_vertical, vertical_breakdown, fast_ttr_count, high_pat_count, data_sources"
},
"concepts": {
"type": "array",
"description": "Product concepts ranked by opportunity_score descending"
}
},
"description": "JSON response with meta stats and ranked product concepts"
}
}
}
}
}
}
}Provenance
- Seen in the source catalog
- 2026-10-23 19:53Z
- Last indexed by Roundhouse
- 2026-10-26 20:00Z
- Last enriched (probe, favicon, geo)
- 2026-10-21 03:45Z
- 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. 6 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 StationFX 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=StationFX' 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://stationfx.com/tech-scout/syntheses/full, 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. Either pay over x402 (mint a personal key for $0.01 at GET https://api.roundhouseai.io/v0/test/x402), or ask me for an organization key, which I create at https://roundhouseai.io/dashboard/connections. If you have neither, ask before going further. If you do not have Roundhouse tools or skills installed, read https://roundhouseai.io/skill.md first — it is the whole procedure.