payment-ready until 2026-09-14
Podcast intelligence for AI agents: transcripts and semantic search across episodes, guests and appearances, chart rankings, advertising and sponsor analytics, political-bias and brand-suitability analytics, plus companies, people and topics as one knowledge graph. 100+ REST endpoints and an MCP server (mcp.particle.pro) payable per request in USDC on Base via x402 v2 (Coinbase CDP facilitator), $0.01 to $0.04 per call, no API key or signup. Capability manifest at /.well-known/x402, x-payment-info on every payable operation in /openapi.json, Bazaar declarations on every 402.
Pay from $0.01 to $0.04 per request in USDC on Base, settled onchain via the x402 protocol, no signup, no API key needed.
listed 2026-09-07 · no on-chain settlement recorded yet
VERDICT
ranking generation 3solid 85/100 #179 of 283 in Data by measured score
What the score read on this service: status online, 100% uptime 24h (no 30d window yet), 225ms response p95, x402 compliance 14 of 14, $0.01 price against the category, on-chain traction measured. Each of those is measured, and each is published in full below.
The score comes from our own monitoring, never from reviews, operator claims, or a language model: reliability, x402 compliance, price against the category, a deterministic risk flag, and a small on-chain traction term, weighted by ranking generation 3. It is not placement anyone can buy: the paid verify tier is reported beside it and is not one of its inputs. Every component below stays published and read-only.
It is a score inside Data, and only there: price and speed are scored against the whole category field, every listing in it that carries no danger flag, the scored service included, which here means 283 listings, this one among them. That set is wider than the 283 the position above is counted against, because a listing we have measured too little of to rank still sits in the field the price and the speed are normalized over. The same service in a different field would read differently. The same engine answers GET /api/v1/best, and asked for a different pool (the whole directory, or another filter) it returns a different number for this service under this same ranking generation. Neither is more correct: they answer different questions, and the methodology states which is which.
Bands on the 0 to 100 measured score: strong at 93 and above, solid from 75, mixed from 55, weak below 55. Price and speed are scored against the whole category field, every listing in it that carries no danger flag, the scored service included, so the score places a service in its own field.
ALTERNATIVES IN DATA
Other Data services in this directory, ordered by the same measured score. The figures are ours: 30-day uptime from our own probes, 30-day settlement volume read on-chain (a conservative undercount, and null where we cannot measure it, never a zero).
| SERVICE | BAND | SCORE | UPTIME 30D | VOL 30D |
|---|---|---|---|---|
| API Acre | strong | 99 | 99.8% | --- |
| AgentFund US Economic, SEC & On-Chain Data | strong | 98 | 100% | --- |
| KR Crypto Intelligence | strong | 98 | 100% | --- |
| SuVerse Pay | strong | 98 | 100% | --- |
| WebberSites x402 Data API | strong | 98 | 100% | --- |
ASSESSMENT
updated 2h agoThe parts the verdict above is computed from, each with its proof. Click any chip. Measured values stay read-only; unknown is honest, and an unknown is never counted as a zero.
reliability 100%
- uptime 24h
- -
- uptime 7d
- -
- uptime 30d
- -
- uptime 90d
- -
- response p95
- 225ms
- avg response
- 225ms
- total checks
- 1
Measured on the unpaid 402 handshake, not the paid call. A service can 402 correctly and still fail after payment.
compliance A (14/14)
14 of 14 x402 conformance checks pass. Full checklist below.
price $0.01 to $0.04 (p58 in Data)
- price (min)
- $0.01
- price (max)
- $0.04
- category percentile (min)
- p58 in Data
- category percentile (max)
- p53 in Data
- endpoints / prices
- 7 / 3
- model
- tiered
- stability
- 100%
risk clean
No deterministic risk flag. Risk fires only on an exact blocklist match, or a reserved-brand name with a mismatched verified payTo. Never from low uptime, a high price, or a model guess.
- domain age
- 2015d
- registrar
- Dynadot Inc
- hosting
- custom
- domain created
- 2021-03-01
Identity facts, not a risk score.
traction $0.00 30d · 0 buyers
- volume 30d
- $0.00
- buyers 30d
- 0
- settlements 30d
- 0
- measured since
- --- (start of our harvest window)
- last settlement
- ---
- top buyer share
- -
- trend 7d vs 30d
- -
- networks
- eip155:8453
- volume all-time
- $0
- settlements all-time
- 0
- median settlement 30d
- -
- max settlement 30d
- -
- settled via
- -
Conservative undercount: only USDC settlements via facilitators we measure are counted. A measured floor, not an estimate.
Top buyer share is a concentration signal, not part of the ranking score.
WHAT IT DOES
ai-derivedNo AI synthesis has been produced for this service yet.
ENDPOINTS
| METHOD | PATH | DESCRIPTION | PRICE | NETWORK | ASSET | 402 CHANNEL |
|---|---|---|---|---|---|---|
| GET | /v1/companies/resolve | $0.01 | Base | USDC | header | |
| GET | /v1/people/resolve | $0.01 | Base | USDC | header | |
| GET | /v1/podcasts/advertising/leaderboard | $0.04 | Base | USDC | header | |
| GET | /v1/podcasts/episodes/search | $0.03 | Base | USDC | header | |
| GET | /v1/podcasts/guests | $0.03 | Base | USDC | header | |
| GET | /v1/podcasts/rankings | $0.03 | Base | USDC | header | |
| GET | /v1/podcasts/search | $0.01 | Base | USDC | header |
REQUEST / RESPONSE EXAMPLE
An unpaid request to GET /v1/companies/resolve returns HTTP 402 with the payment terms. Settle onchain via your facilitator, then retry with the X-Payment header.
curl -i 'https://api.particle.pro/v1/companies/resolve'
// 402 response (captured by monitor) · 7 payloads · click to expand
[
{
"error": "Payment required",
"accepts": [
{
"asset": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913",
"extra": {
"name": "USD Coin",
"version": "2"
},
"payTo": "0x59f3a6dcb6f482c53872dd8f8f9e1f9161a1c5f7",
"amount": "30000",
"scheme": "exact",
"network": "eip155:8453",
"maxTimeoutSeconds": 300
}
],
"resource": {
"url": "https://api.particle.pro/v1/podcasts/guests",
"tags": [
"podcast guests",
"podcasts",
"media intelligence",
"particle pro"
],
"mimeType": "application/json",
"description": "List podcast guests. Returns a paginated directory of Persons who have appeared on at least one podcast episode in a non-host listing role.",
"serviceName": "Particle Pro"
},
"extensions": {
"bazaar": {
"info": {
"input": {
"type": "http",
"method": "GET"
}
},
"schema": {
"type": "object",
"$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"
],
"type": "string"
},
"queryParams": {
"type": "object",
"properties": {
"q": {
"type": "string",
"description": "Case-insensitive substring match against the guest's display name"
},
"sort": {
"enum": [
"appearances",
"recency"
],
"type": "string",
"description": "Sort order (default: appearances)"
},
"limit": {
"type": "integer",
"format": "int64",
"description": "Results per page"
},
"cursor": {
"type": "string",
"description": "Opaque pagination cursor from previous response"
},
"topic_id": {
"type": "string",
"description": "Restrict to guests with at least one appearance on an episode classified under this topic"
},
"podcast_id": {
"type": "string",
"description": "Restrict to guests who have appeared on this podcast (slug or ID)"
},
"appeared_since": {
"type": "string",
"description": "Only include guests with at least one appearance published on or after this ISO 8601 date"
},
"min_appearances": {
"type": "integer",
"format": "int64",
"description": "Minimum lifetime appearance count to include (default 1)"
},
"suitability_tier_max": {
"enum": [
"SAFE",
"LIMITED",
"SENSITIVE",
"UNSAFE"
],
"type": "string",
"description": "Restrict to guests whose appearances are on podcasts at or below this IAB Tech Lab brand-safety tier"
}
}
}
},
"additionalProperties": false
}
}
}
}
},
"x402Version": 2
},
{
"error": "Payment required",
"accepts": [
{
"asset": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913",
"extra": {
"name": "USD Coin",
"version": "2"
},
"payTo": "0x59f3a6dcb6f482c53872dd8f8f9e1f9161a1c5f7",
"amount": "10000",
"scheme": "exact",
"network": "eip155:8453",
"maxTimeoutSeconds": 300
}
],
"resource": {
"url": "https://api.particle.pro/v1/podcasts/search",
"tags": [
"podcasts",
"media intelligence",
"particle pro"
],
"mimeType": "application/json",
"description": "Search podcasts. Searches the podcast catalog by show name — the canonical podcast search.",
"serviceName": "Particle Pro"
},
"extensions": {
"bazaar": {
"info": {
"input": {
"type": "http",
"method": "GET",
"queryParams": {
"language": "fr",
"format_signal": [
"interview"
],
"guest_frequency": [
"regular",
"always"
]
}
}
},
"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"
],
"type": "string"
},
"queryParams": {
"type": "object",
"properties": {
"q": {
"type": "string",
"description": "Search the catalog by podcast name. GET /v1/podcasts/search is the canonical search endpoint and accepts the same parameters. The search is forgiving: it handles typos, missing or extra words ('offline jon favreau' finds Offline with Jon Favreau), a name plus qualifiers ('equity techcrunch'), and pasted episode titles ('Ferrari | Acquired' finds Acquired). The best matches come first, and each result's match_quality tells you how confident the match is — including when a show matched only through its description (match_quality=description) rather than its name."
},
"slug": {
"type": "string",
"description": "Filter by exact podcast slug (e.g., 'all-in'). Slugs are stable, human-readable identifiers returned on every podcast object."
},
"sort": {
"enum": [
"relevance",
"popularity"
],
"type": "string",
"description": "Result ordering. relevance — the default whenever q is present — ranks by how well each podcast matches the query, breaking ties by popularity. popularity orders purely by the global popularity percentile (most popular first; podcasts not currently charting sort last), and also overrides topic_id's concentration ordering. Without q or topic_id, results are popularity-ordered either way."
},
"limit": {
"type": "integer",
"format": "int64",
"description": "Results per page"
},
"cursor": {
"type": "string",
"description": "Opaque pagination cursor from previous response"
},
"has_ads": {
"enum": [
"true",
"false"
],
"type": "string",
"description": "Filter by advertiser presence. Pass false to find ad-free shows — an assertion that requires the show to have enough analyzed episodes, so sparsely-analyzed podcasts are excluded rather than presumed ad-free."
},
"language": {
"type": "string",
"description": "Filter by the podcast's language (ISO 639-1 code, e.g. 'en', 'fr'). Matches the primary language subtag, so 'fr' covers 'fr-FR'."
},
"topic_id": {
"type": "string",
"description": "Filter by topic ID, ancestry slug (e.g., technology/artificial-intelligence), or ancestry path hash. Matches podcasts where the topic accounts for at least 20% of the show's episodes, ranked by topic concentration — not merely podcasts that mention it once."
},
"has_video": {
"enum": [
"true",
"false"
],
"type": "string",
"description": "Filter by whether episodes have discovered video versions (e.g. YouTube releases)."
},
"format_signal": {
"type": "array",
"items": {
"type": "string"
},
"description": "Filter by detected production format. Pass a comma-separated list to match any of several formats — e.g. panel,call_in. Values mirror the format.signals field on podcast responses; a show can carry several signals."
},
"guest_frequency": {
"type": "array",
"items": {
"type": "string"
},
"description": "Filter by how often episodes feature a guest. Pass a comma-separated list to match any of several buckets — e.g. regular,always for interview-driven shows, or never for shows that don't host guests. Only matches podcasts with enough analyzed episodes to judge; values mirror the format.guest_frequency field on podcast responses."
},
"suitability_tier": {
"enum": [
"SAFE",
"LIMITED",
"SENSITIVE",
"UNSAFE"
],
"type": "string",
"description": "Filter by brand-suitability tier (IAB Tech Lab Brand Safety & Suitability Framework, formerly GARM). Only returns podcasts whose most recent suitability analysis assigned this tier. Podcasts without a suitability analysis are excluded when this filter is set."
},
"publishing_status": {
"enum": [
"active",
"dormant"
],
"type": "string",
"description": "Filter by publishing activity: active shows have released an episode within the last 90 days; dormant shows have not."
},
"popularity_threshold": {
"type": "number",
"format": "double",
"description": "Restrict results to podcasts whose global popularity percentile is at least this value (accepted range [0,1]). Omitting the parameter or passing 0 disables the filter; only a value greater than 0 activates it. Popularity is always global — a cume_dist ranking over all currently-charting podcasts (Apple Podcasts) — never scoped to topic_id or any other filter. When the filter is active (threshold > 0), podcasts not currently charting have no percentile and are excluded, so a high threshold combined with a narrow topic_id may return zero results; lower or remove the threshold to widen the set."
},
"max_episodes_per_week": {
"type": "number",
"format": "double",
"description": "Only podcasts publishing at most this many episodes per week on average (e.g. 0.5 for fortnightly-or-slower shows)."
},
"min_episodes_per_week": {
"type": "number",
"format": "double",
"description": "Only podcasts publishing at least this many episodes per week on average (e.g. 5 for weekday dailies). Cadence is measured over the trailing 90 days; podcasts tracked too briefly to measure are excluded."
},
"max_avg_episode_minutes": {
"type": "integer",
"format": "int64",
"description": "Only podcasts whose average episode runs at most this many minutes."
},
"min_avg_episode_minutes": {
"type": "integer",
"format": "int64",
"description": "Only podcasts whose average episode runs at least this many minutes. Combine with max_avg_episode_minutes to target a length band (e.g. 20–40 minute commute shows)."
}
}
}
},
"additionalProperties": false
}
}
}
}
},
"x402Version": 2
},
{
"error": "Payment required",
"accepts": [
{
"asset": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913",
"extra": {
"name": "USD Coin",
"version": "2"
},
"payTo": "0x59f3a6dcb6f482c53872dd8f8f9e1f9161a1c5f7",
"amount": "30000",
"scheme": "exact",
"network": "eip155:8453",
"maxTimeoutSeconds": 300
}
],
"resource": {
"url": "https://api.particle.pro/v1/podcasts/episodes/search",
"tags": [
"podcast episode search",
"podcasts",
"media intelligence",
"particle pro"
],
"mimeType": "application/json",
"description": "Search podcast episode content. To find podcasts (shows) by name or topic, use /v1/podcasts/search?q=….",
"serviceName": "Particle Pro"
},
"extensions": {
"bazaar": {
"info": {
"input": {
"type": "http",
"method": "GET",
"queryParams": {
"since": "2024-01-01",
"until": "2024-06-01",
"language": "fr"
}
}
},
"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"
],
"type": "string"
},
"queryParams": {
"type": "object",
"properties": {
"role": {
"enum": [
"guest",
"host",
"panelist",
"correspondent",
"speaker",
"mention"
],
"type": "string",
"description": "How the entity must relate to the episode. Speaking roles: 'guest', 'host', 'panelist', 'correspondent', or 'speaker' for any of them. 'mention' means the entity is talked about rather than speaking. Omit to match both. Matches the role values on /v1/podcasts/episodes."
},
"sort": {
"enum": [
"relevance",
"recency"
],
"type": "string",
"description": "Sort order. Defaults to relevance."
},
"type": {
"enum": [
"INTRO",
"PERSONAL_BANTER",
"TOPIC_DISCUSSION",
"INTERVIEW",
"TRANSITION",
"AD",
"OUTRO"
],
"type": "string",
"description": "Segment type filter."
},
"limit": {
"type": "integer",
"format": "int64",
"description": "Results per page (1-100, default 25)."
},
"since": {
"type": "string",
"description": "Only segments from episodes published after this date."
},
"until": {
"type": "string",
"description": "Only segments from episodes published on or before this date. A bare date includes that whole day."
},
"cursor": {
"type": "string",
"description": "Opaque cursor from a previous response."
},
"context": {
"type": "integer",
"format": "int64",
"description": "Lines of surrounding dialogue around each matched line (1-15, default 1). Widens each match's transcript window in place — request more context instead of fetching the full transcript. Window size stays bounded even at the maximum."
},
"language": {
"type": "string",
"description": "Restrict to episodes of podcasts in this language (ISO 639-1 code, e.g. 'fr'). Matches the podcast's primary language subtag, so 'fr' covers 'fr-FR'."
},
"entity_id": {
"type": "string",
"description": "Optional entity slug or ID. Filters results to episodes featuring this entity. For 'every line about X', use /v1/podcasts/mentions instead."
},
"company_id": {
"type": "string",
"description": "Optional company slug, domain, or ID. Resolves to the company's linked entity and applies as a filter."
},
"episode_id": {
"type": "string",
"description": "Filter to a specific episode by slug or ID."
},
"podcast_id": {
"type": "string",
"description": "Podcast slug, internal ID, or numeric iTunes ID."
},
"entity_type": {
"type": "string",
"description": "Optional entity category slug. Filters to episodes that *mention* any entity in that category (e.g. 'company', 'school', 'book'). Speakers are always people, so this filter only narrows mentioned entities. Cannot be combined with 'role'. Ignored when entity_id resolves to a specific entity. See GET /v1/entities/types for the available slugs."
},
"keyword_match": {
"enum": [
"required",
"ranked"
],
"type": "string",
"description": "How unquoted keyword_search terms are applied. 'required' (default) filters to segments containing every term, so results are guaranteed to contain what you typed — this also constrains semantic_search, making a hybrid query an intersection of the two. 'ranked' instead lets unquoted terms only boost BM25 relevance without excluding anything, which widens recall for loose bag-of-words queries but returns segments that may contain none of them. Quoted phrases are unaffected: they filter in BOTH modes, so to relax a phrase remove its quotes. Ignored when keyword_search is empty."
},
"keyword_search": {
"type": "string",
"description": "BM25 lexical search over dialogue. Use when an exact token must appear verbatim — tickers, drug names, product codes. By default every token must appear somewhere in the matched segment (see keyword_match). Wrap any token sequence in double quotes (e.g. \"machine learning\") to additionally require those words adjacent and in order in the segment's spoken dialogue — a speaker's own name is not indexed as dialogue, so quoting a person's name finds segments where the name appears in what was said, not segments they speak in. Adjacency spans consecutive lines, so a phrase may rarely straddle a line break. Multiple quoted phrases AND together (e.g. \"central bank\" \"interest rates\"). There is no boolean OR — a bare OR is treated as an ordinary word, so pass alternatives as separate requests."
},
"semantic_search": {
"type": "string",
"description": "Vector-similarity search by meaning. Express the query the way you'd describe the topic to a colleague — paraphrase tolerant, finds segments that express the same idea in different vocabulary. Combine with keyword_search for hybrid ranking. Describe a topic, not a name: to find a specific person or company, filter with entity_id / company_id (or use /v1/podcasts/mentions for every line about them) — and for an exact token like a ticker, use keyword_search."
}
}
}
},
"additionalProperties": false
}
}
}
}
},
"x402Version": 2
},
{
"error": "Payment required",
"accepts": [
{
"asset": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913",
"extra": {
"name": "USD Coin",
"version": "2"
},
"payTo": "0x59f3a6dcb6f482c53872dd8f8f9e1f9161a1c5f7",
"amount": "30000",
"scheme": "exact",
"network": "eip155:8453",
"maxTimeoutSeconds": 300
}
],
"resource": {
"url": "https://api.particle.pro/v1/podcasts/rankings",
"tags": [
"podcast rankings",
"podcasts",
"media intelligence",
"particle pro"
],
"mimeType": "application/json",
"description": "List podcast rankings. Returns chart entries from the live ranking snapshot.",
"serviceName": "Particle Pro"
},
"extensions": {
"bazaar": {
"info": {
"input": {
"type": "http",
"method": "GET"
}
},
"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"
],
"type": "string"
},
"queryParams": {
"type": "object",
"properties": {
"limit": {
"type": "integer",
"format": "int64",
"description": "Results per page"
},
"cursor": {
"type": "string",
"description": "Opaque pagination cursor from previous response"
},
"source": {
"enum": [
"apple",
"spotify"
],
"type": "string",
"description": "Ranking source platform. Use GET /v1/podcasts/rankings/sources to enumerate available sources."
},
"country": {
"type": "string",
"description": "ISO 3166-1 alpha-2 country code (e.g. 'us', 'gb', 'jp'). Case-insensitive on input — normalized to lowercase server-side."
},
"max_rank": {
"type": "integer",
"format": "int64",
"description": "Maximum rank (inclusive)."
},
"min_rank": {
"type": "integer",
"format": "int64",
"description": "Minimum rank (inclusive). Useful for slicing the chart (e.g. min_rank=11&max_rank=20 for ranks 11–20)."
},
"chart_type": {
"enum": [
"top_podcasts"
],
"type": "string",
"description": "Chart variant within the source. Currently only 'top_podcasts' is supported."
},
"podcast_id": {
"type": "string",
"description": "Restrict to chart appearances of a single podcast (slug, internal ID, or numeric iTunes ID). When set, the chart-slot filters narrow the result; without them every current chart appearance for the podcast is returned across slots."
},
"category_slug": {
"type": "string",
"description": "Category slug (e.g. 'comedy', 'business'). Omit for the overall chart."
}
}
}
},
"additionalProperties": false
}
}
}
}
},
"x402Version": 2
},
{
"error": "Payment required",
"accepts": [
{
"asset": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913",
"extra": {
"name": "USD Coin",
"version": "2"
},
"payTo": "0x59f3a6dcb6f482c53872dd8f8f9e1f9161a1c5f7",
"amount": "40000",
"scheme": "exact",
"network": "eip155:8453",
"maxTimeoutSeconds": 300
}
],
"resource": {
"url": "https://api.particle.pro/v1/podcasts/advertising/leaderboard",
"tags": [
"podcast advertising",
"podcasts",
"media intelligence",
"particle pro"
],
"mimeType": "application/json",
"description": "Get advertising leaderboard. Returns the top podcast advertising sponsors ranked by the specified metric, with optional time range and company filtering.",
"serviceName": "Particle Pro"
},
"extensions": {
"bazaar": {
"info": {
"input": {
"type": "http",
"method": "GET",
"queryParams": {
"since": "2025-01-01T00:00:00Z",
"until": "2026-01-01T00:00:00Z"
}
}
},
"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"
],
"type": "string"
},
"queryParams": {
"type": "object",
"properties": {
"limit": {
"type": "integer",
"format": "int64",
"description": "Results per page"
},
"since": {
"type": "string",
"description": "Only include ads from episodes published on or after this ISO 8601 date or date-time (e.g. 2025-01-01 or 2025-01-01T00:00:00Z)"
},
"until": {
"type": "string",
"description": "Only include ads from episodes published before this ISO 8601 date or date-time (e.g. 2026-01-01 or 2026-01-01T00:00:00Z)"
},
"cursor": {
"type": "string",
"description": "Opaque pagination cursor from previous response"
},
"metric": {
"enum": [
"ad_count",
"podcast_reach",
"episode_reach"
],
"type": "string",
"description": "Metric to rank sponsors by"
},
"company_id": {
"type": "string",
"description": "Filter by company ID, domain, or entity slug"
},
"publisher_id": {
"type": "string",
"description": "Restrict the leaderboard to ads on podcasts attributed to this publisher (slug or ID)"
}
}
}
},
"additionalProperties": false
}
}
}
}
},
"x402Version": 2
},
{
"error": "Payment required",
"accepts": [
{
"asset": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913",
"extra": {
"name": "USD Coin",
"version": "2"
},
"payTo": "0x59f3a6dcb6f482c53872dd8f8f9e1f9161a1c5f7",
"amount": "10000",
"scheme": "exact",
"network": "eip155:8453",
"maxTimeoutSeconds": 300
}
],
"resource": {
"url": "https://api.particle.pro/v1/companies/resolve",
"tags": [
"companies",
"podcasts",
"media intelligence",
"particle pro"
],
"mimeType": "application/json",
"description": "Get a company. Returns a single company by slug (e.g., 'apple'), domain (e.g., 'apple.com'), or ID.",
"serviceName": "Particle Pro"
},
"extensions": {
"bazaar": {
"info": {
"input": {
"type": "http",
"method": "GET",
"pathParams": {
"id": "resolve"
}
}
},
"schema": {
"type": "object",
"$schema": "https://json-schema.org/draft/2020-12/schema",
"required": [
"input"
],
"properties": {
"input": {
"type": "object",
"required": [
"type",
"method"
],
"properties": {
"type": {
"type": "string",
"const": "http"
},
"method": {
"enum": [
"GET"
],
"type": "string"
},
"pathParams": {
"type": "object",
"required": [
"id"
],
"properties": {
"id": {
"type": "string",
"description": "Company slug (e.g., 'apple', 'tesla'), domain (e.g., 'apple.com'), or ID"
}
}
},
"queryParams": {
"type": "object",
"properties": {}
}
},
"additionalProperties": false
}
}
},
"routeTemplate": "/v1/companies/:id"
}
},
"x402Version": 2
},
{
"error": "Payment required",
"accepts": [
{
"asset": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913",
"extra": {
"name": "USD Coin",
"version": "2"
},
"payTo": "0x59f3a6dcb6f482c53872dd8f8f9e1f9161a1c5f7",
"amount": "10000",
"scheme": "exact",
"network": "eip155:8453",
"maxTimeoutSeconds": 300
}
],
"resource": {
"url": "https://api.particle.pro/v1/people/resolve",
"tags": [
"people",
"podcasts",
"media intelligence",
"particle pro"
],
"mimeType": "application/json",
"description": "Get a Person. Returns the comprehensive Person payload including display name, slug, headshot, curated bio, the Person's company-role history (most recent first), known third-party profile links, and an optional knowledge-graph cross-reference",
"serviceName": "Particle Pro"
},
"extensions": {
"bazaar": {
"info": {
"input": {
"type": "http",
"method": "GET",
"pathParams": {
"id": "resolve"
}
}
},
"schema": {
"type": "object",
"$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"
],
"type": "string"
},
"pathParams": {
"type": "object",
"required": [
"id"
],
"properties": {
"id": {
"type": "string",
"description": "Person identifier. Accepts the Person slug (recommended) or the encoded Person UUID returned as 'id' on every Person payload."
}
}
},
"queryParams": {
"type": "object",
"properties": {}
}
},
"additionalProperties": false
}
}
},
"routeTemplate": "/v1/people/:id"
}
},
"x402Version": 2
}
] OVER TIME
All charts use the 90d selector; each series spans only the dates it has data for. Every series is also served as JSON at /api/v1/services/particle-pro/price, /scores, /volume and /buyers. On-chain volume and distinct buyers are measured over the service's settlement address and are a conservative undercount (only settlements that reach a measured facilitator are counted). The on-chain series roll up hourly, so the latest day can be up to about an hour behind; distinct buyers are counted per payout address, so a service that settles to more than one address is an upper bound.
Median across 7 endpoints. Use the selector to isolate one.
checklist grew 11->14 on 2026-07-28; a step here is a metric change, not a regression
COMPLIANCE
14/14 checks pass · grade Alast 402 captured 2026-09-07 · last up 2026-09-07
- 402 payload captured
- accepts[] array present
- payTo address recoverable
- payTo at accepts[0].payTo (conformant shape)
- payTo is a valid on-chain address
- atomic price declared
- atomic price in a sane range
- asset (token) address declared
- network resolves to CAIP-2
- payment scheme declared
- served over HTTPS
- declares the current x402 version (2)
- EIP-712 domain parameters present on every EVM entry
- x402 v2 envelope delivered in the payment-required header
SITE PILLARS
- homepage reachable
- openapi doc
- pricing page
- llms.txt
- robots.txt
- terms page
recent checks (7) live · click to expand
EMBED THIS BADGE
<a href="https://x402-list.com/services/particle-pro?utm_source=badge&utm_medium=referral&utm_campaign=embed"> <img src="https://x402-list.com/badge/particle-pro.svg" alt="Particle Pro listed on x402-list" height="28"> </a>
[](https://x402-list.com/services/particle-pro?utm_source=badge&utm_medium=referral&utm_campaign=embed)
<a href="https://x402-list.com/services/particle-pro?utm_source=badge&utm_medium=referral&utm_campaign=embed"> <img src="https://x402-list.com/badge/particle-pro.svg?data=uptime" alt="Particle Pro uptime on x402-list" height="28"> </a>