DOCS · API REFERENCE

API reference

Every skill Agenstry exposes, with curl examples for all three transports. Auto-generated from app.skill_catalog — when we add, rename, or reprice a skill, this page reflects it on the next request. View this page as Markdown for AI consumption.

15 free skills 8 paid skills Pricing →

REST

GET /api/v1/skills/<id>?arg=value

A2A JSON-RPC

POST /a2a — method: message/send

MCP

POST /mcp — method: tools/call

Free skills

Anonymous + rate-limited (60 req/min per IP, 600 with a Pro key). Use these as the discovery + acquisition layer in your router.

match_skill

Match canonical skill

FREE

NL description → canonical skill bucket.

Match a natural-language description to canonical skills in our taxonomy. Multilingual (Dutch / Korean / 100+ langs via E5). Lighter than `compose` — use when you only need the right skill bucket, not the picked agent. Free with rate limit.

A2A intent aliases: skill, match, match_skill

REST arg: query

Example queries

skill: convert PDF invoices to structured JSON
match: een agent vinden die facturen leest

REST

curl 'https://agenstry.com/api/v1/skills/match_skill?query=convert+PDF+invoices+to+structured+JSON'

A2A JSON-RPC

curl -X POST https://agenstry.com/a2a \
  -H 'Content-Type: application/json' \
  -d '{"jsonrpc": "2.0","id": "1","method": "message/send","params": {"message": {"messageId": "m1","role": "user","parts": [{"kind": "text","text": "skill: convert PDF invoices to structured JSON"}]}}}'

MCP

curl -X POST https://agenstry.com/mcp \
  -H 'Content-Type: application/json' \
  -d '{"jsonrpc": "2.0","id": "1","method": "tools/call","params": {"name": "match_skill","arguments": {"query": "skill: convert PDF invoices to structured JSON"}}}'

find_agent

Find A2A agent

FREE

Hybrid BM25 + semantic + quality search.

Hybrid BM25 + semantic + quality search across A2A agents. Multilingual queries supported. Free with rate limit; for intelligence on a returned agent, call agent_stats / get_agent_full.

A2A intent aliases: search, find, find_agent

REST arg: query

Example queries

find: hotel reservation agent
search: blockchain analytics

REST

curl 'https://agenstry.com/api/v1/skills/find_agent?query=hotel+reservation+agent'

A2A JSON-RPC

curl -X POST https://agenstry.com/a2a \
  -H 'Content-Type: application/json' \
  -d '{"jsonrpc": "2.0","id": "1","method": "message/send","params": {"message": {"messageId": "m1","role": "user","parts": [{"kind": "text","text": "find: hotel reservation agent"}]}}}'

MCP

curl -X POST https://agenstry.com/mcp \
  -H 'Content-Type: application/json' \
  -d '{"jsonrpc": "2.0","id": "1","method": "tools/call","params": {"name": "find_agent","arguments": {"query": "find: hotel reservation agent"}}}'

find_mcp

Find MCP server

FREE

Search MCP servers by freeform query.

Search MCP servers by freeform query — matches name, title, description and exposed tools. Free with rate limit.

A2A intent aliases: mcp, find_mcp

REST arg: query

Example queries

mcp: github code search
find mcp: postgres database

REST

curl 'https://agenstry.com/api/v1/skills/find_mcp?query=github+code+search'

A2A JSON-RPC

curl -X POST https://agenstry.com/a2a \
  -H 'Content-Type: application/json' \
  -d '{"jsonrpc": "2.0","id": "1","method": "message/send","params": {"message": {"messageId": "m1","role": "user","parts": [{"kind": "text","text": "mcp: github code search"}]}}}'

MCP

curl -X POST https://agenstry.com/mcp \
  -H 'Content-Type: application/json' \
  -d '{"jsonrpc": "2.0","id": "1","method": "tools/call","params": {"name": "find_mcp","arguments": {"query": "mcp: github code search"}}}'

get_agent

Get agent details

FREE

Free summary card for one agent.

Free summary card: name, description, skills, quality. For audit-grade history + drift + revenue, use the paid `get_agent_full`.

A2A intent aliases: get, agent

REST arg: domain

Example queries

get: silas.sylex.ai

REST

curl 'https://agenstry.com/api/v1/skills/get_agent?domain=silas.sylex.ai'

A2A JSON-RPC

curl -X POST https://agenstry.com/a2a \
  -H 'Content-Type: application/json' \
  -d '{"jsonrpc": "2.0","id": "1","method": "message/send","params": {"message": {"messageId": "m1","role": "user","parts": [{"kind": "text","text": "get: silas.sylex.ai"}]}}}'

MCP

curl -X POST https://agenstry.com/mcp \
  -H 'Content-Type: application/json' \
  -d '{"jsonrpc": "2.0","id": "1","method": "tools/call","params": {"name": "get_agent","arguments": {"domain": "get: silas.sylex.ai"}}}'

validate_agent

Validate agent card

FREE

Probe a candidate URL.

Probe a candidate URL and return validation + live-response check. Mutates the index by upserting the probe result — that's why this skill is JSON-RPC-only (no REST path).

A2A intent aliases: validate

Example queries

validate: https://example.com

A2A JSON-RPC

curl -X POST https://agenstry.com/a2a \
  -H 'Content-Type: application/json' \
  -d '{"jsonrpc": "2.0","id": "1","method": "message/send","params": {"message": {"messageId": "m1","role": "user","parts": [{"kind": "text","text": "validate: https://example.com"}]}}}'

index_stats

Index stats

FREE

A2A + MCP funnel breakdowns.

Aggregate statistics about the Agenstry index — A2A + MCP funnel breakdowns. Free.

A2A intent aliases: stats, status

Example queries

stats
status

REST

curl 'https://agenstry.com/api/v1/skills/index_stats?q=stats'

A2A JSON-RPC

curl -X POST https://agenstry.com/a2a \
  -H 'Content-Type: application/json' \
  -d '{"jsonrpc": "2.0","id": "1","method": "message/send","params": {"message": {"messageId": "m1","role": "user","parts": [{"kind": "text","text": "stats"}]}}}'

MCP

curl -X POST https://agenstry.com/mcp \
  -H 'Content-Type: application/json' \
  -d '{"jsonrpc": "2.0","id": "1","method": "tools/call","params": {"name": "index_stats","arguments": {"input": "stats"}}}'

flows_summary

Money flows — free summary

FREE

Top-line money-flow numbers + 3-name teaser.

Compact top-line numbers for the agent-economy money flow: total gross USDC across all indexed agents (30d), tx count, count of earning agents, and a 3-name teaser of the leaderboard. Identical shape to what powered the /flows hero cards before commit 619fd47 — kept for callers that want the smallest possible response. For the full top-25 + per-category + per-chain + windows, use the also-free `money_flows`. For time-series + weekly cohorts + per-protocol split, use the paid `flow_trends`.

A2A intent aliases: flows_summary, flows_basic, money_flows_summary

Example queries

flows_summary
flows_basic

REST

curl 'https://agenstry.com/api/v1/skills/flows_summary?q=flows_summary'

A2A JSON-RPC

curl -X POST https://agenstry.com/a2a \
  -H 'Content-Type: application/json' \
  -d '{"jsonrpc": "2.0","id": "1","method": "message/send","params": {"message": {"messageId": "m1","role": "user","parts": [{"kind": "text","text": "flows_summary"}]}}}'

MCP

curl -X POST https://agenstry.com/mcp \
  -H 'Content-Type: application/json' \
  -d '{"jsonrpc": "2.0","id": "1","method": "tools/call","params": {"name": "flows_summary","arguments": {"input": "flows_summary"}}}'

money_flows

Money flows — full snapshot

FREE

Top-25 ranking + per-category + per-chain + 7/30/90d windows.

Comprehensive on-chain x402 USDC flow snapshot — the data behind the public /flows dashboard. Top-25 ranking by 30d revenue with amounts + tx counts, per-category breakdown, per-chain breakdown, 7/30/90 day side-by-side windowed totals, and a 30-day new-earner growth signal. Sources: every agent we've linked to its public payment wallet on Base + (soon) Solana. Moved from PAID to FREE in this commit — the snapshot itself isn't complex market intelligence, it's a leaderboard. We charge for the *analytical* layer (`flow_trends` = daily series + weekly cohorts + protocol split; `wallet_intel` = per-wallet portfolio) where the data synthesis adds value beyond what /agents/{domain} already publishes per-agent.

A2A intent aliases: money_flows, flows

Example queries

money_flows
flows

REST

curl 'https://agenstry.com/api/v1/skills/money_flows?q=money_flows'

A2A JSON-RPC

curl -X POST https://agenstry.com/a2a \
  -H 'Content-Type: application/json' \
  -d '{"jsonrpc": "2.0","id": "1","method": "message/send","params": {"message": {"messageId": "m1","role": "user","parts": [{"kind": "text","text": "money_flows"}]}}}'

MCP

curl -X POST https://agenstry.com/mcp \
  -H 'Content-Type: application/json' \
  -d '{"jsonrpc": "2.0","id": "1","method": "tools/call","params": {"name": "money_flows","arguments": {"input": "money_flows"}}}'

trends_summary

Keyword trends — free summary

FREE

Top-10 trending keywords this week.

Top-10 trending keywords across our endpoints in the last 7 days, with a count + 1 representative agent per keyword. Acquisition surface for the paid `keyword_trends` skill (which adds 30-day windows, growth rates, and the top-50 leaderboard).

A2A intent aliases: trends_summary, trending

Example queries

trends_summary
trending

REST

curl 'https://agenstry.com/api/v1/skills/trends_summary?q=trends_summary'

A2A JSON-RPC

curl -X POST https://agenstry.com/a2a \
  -H 'Content-Type: application/json' \
  -d '{"jsonrpc": "2.0","id": "1","method": "message/send","params": {"message": {"messageId": "m1","role": "user","parts": [{"kind": "text","text": "trends_summary"}]}}}'

MCP

curl -X POST https://agenstry.com/mcp \
  -H 'Content-Type: application/json' \
  -d '{"jsonrpc": "2.0","id": "1","method": "tools/call","params": {"name": "trends_summary","arguments": {"input": "trends_summary"}}}'

get_agent_full

Agent details — full audit record

FREE

Full snapshot for one agent.

Rich detail snapshot for one agent: card, drift history (last 20 hashes), full verification timeline, current LEI status, capability vector, on-chain payment metadata. Free — same data the public /agents/{domain} page already exposes, so charging for the API wrapper would be paywall theatre. Rate-limited.

A2A intent aliases: get_agent_full, agent_full

REST arg: domain

Example queries

agent_full: silas.sylex.ai
get_agent_full: tavily.com

REST

curl 'https://agenstry.com/api/v1/skills/get_agent_full?domain=silas.sylex.ai'

A2A JSON-RPC

curl -X POST https://agenstry.com/a2a \
  -H 'Content-Type: application/json' \
  -d '{"jsonrpc": "2.0","id": "1","method": "message/send","params": {"message": {"messageId": "m1","role": "user","parts": [{"kind": "text","text": "agent_full: silas.sylex.ai"}]}}}'

MCP

curl -X POST https://agenstry.com/mcp \
  -H 'Content-Type: application/json' \
  -d '{"jsonrpc": "2.0","id": "1","method": "tools/call","params": {"name": "get_agent_full","arguments": {"domain": "agent_full: silas.sylex.ai"}}}'

agent_stats

Agent stats

FREE

Uptime + p50 latency + on-chain revenue.

Per-agent observability: uptime over the last 30 days, p50/p95 response time, on-chain x402 USDC revenue across 7/30/90 day windows, drift snapshot count, verification timeline. Free — same data the public /agents/{domain} sparkline + leaderboard already shows. Rate-limited.

A2A intent aliases: agent_stats, stats_for

REST arg: domain

Example queries

agent_stats: tavily.com
stats_for: api.deepbluebase.xyz

REST

curl 'https://agenstry.com/api/v1/skills/agent_stats?domain=tavily.com'

A2A JSON-RPC

curl -X POST https://agenstry.com/a2a \
  -H 'Content-Type: application/json' \
  -d '{"jsonrpc": "2.0","id": "1","method": "message/send","params": {"message": {"messageId": "m1","role": "user","parts": [{"kind": "text","text": "agent_stats: tavily.com"}]}}}'

MCP

curl -X POST https://agenstry.com/mcp \
  -H 'Content-Type: application/json' \
  -d '{"jsonrpc": "2.0","id": "1","method": "tools/call","params": {"name": "agent_stats","arguments": {"domain": "agent_stats: tavily.com"}}}'

keyword_search

Keyword search

FREE

Freeform query → canonical skills + top agents.

Given a freeform query, returns: (1) the canonical skills it maps to, (2) the top agents currently surfacing for that query (BM25 + semantic), (3) the average quality of the matched agents. Same ranking the public search box uses — free. For the paid analytics layer (volume + growth + supply-gap signals) call `keyword_trends`.

A2A intent aliases: keyword_search, kw_search

REST arg: query

Example queries

keyword_search: pdf extraction
keyword_search: hotel reservation in Amsterdam

REST

curl 'https://agenstry.com/api/v1/skills/keyword_search?query=pdf+extraction'

A2A JSON-RPC

curl -X POST https://agenstry.com/a2a \
  -H 'Content-Type: application/json' \
  -d '{"jsonrpc": "2.0","id": "1","method": "message/send","params": {"message": {"messageId": "m1","role": "user","parts": [{"kind": "text","text": "keyword_search: pdf extraction"}]}}}'

MCP

curl -X POST https://agenstry.com/mcp \
  -H 'Content-Type: application/json' \
  -d '{"jsonrpc": "2.0","id": "1","method": "tools/call","params": {"name": "keyword_search","arguments": {"query": "keyword_search: pdf extraction"}}}'

similar_agents

Similar agents

FREE

Embedding-nearest agents for one domain.

Given an agent domain, returns the top-N agents nearest to it in the embedding space (cosine over unit-norm vectors). Powered by the same `similar_agents_with_scores` repo helper as the public agent-detail page. Each result carries a `similarity` score in [0, 1] and a `via` flag (`embedding` vs `skill_cohort` fallback for agents that haven't been embedded yet). Free, rate-limited.

A2A intent aliases: similar_agents, similar

REST arg: domain

Example queries

similar_agents: bitcoinsapi.com
similar: api.deepbluebase.xyz

REST

curl 'https://agenstry.com/api/v1/skills/similar_agents?domain=bitcoinsapi.com'

A2A JSON-RPC

curl -X POST https://agenstry.com/a2a \
  -H 'Content-Type: application/json' \
  -d '{"jsonrpc": "2.0","id": "1","method": "message/send","params": {"message": {"messageId": "m1","role": "user","parts": [{"kind": "text","text": "similar_agents: bitcoinsapi.com"}]}}}'

MCP

curl -X POST https://agenstry.com/mcp \
  -H 'Content-Type: application/json' \
  -d '{"jsonrpc": "2.0","id": "1","method": "tools/call","params": {"name": "similar_agents","arguments": {"domain": "similar_agents: bitcoinsapi.com"}}}'

similar_mcps

Similar MCP servers

FREE

Embedding-nearest MCPs for one server name.

Given an MCP qualified name, returns the top-N MCP servers nearest to it in the embedding space, with a `via` flag so the caller can tell whether the result came from vec0 cosine or the token-overlap fallback. Mirrors the `/api/mcp-servers/{name}/similar` REST endpoint and the in-page section on the MCP detail page. Free, rate-limited.

A2A intent aliases: similar_mcps, similar_mcp

REST arg: name

Example queries

similar_mcps: com.stayker/1stay
similar_mcp: ai.smithery/flight-search-mcp

REST

curl 'https://agenstry.com/api/v1/skills/similar_mcps?name=com.stayker%2F1stay'

A2A JSON-RPC

curl -X POST https://agenstry.com/a2a \
  -H 'Content-Type: application/json' \
  -d '{"jsonrpc": "2.0","id": "1","method": "message/send","params": {"message": {"messageId": "m1","role": "user","parts": [{"kind": "text","text": "similar_mcps: com.stayker/1stay"}]}}}'

MCP

curl -X POST https://agenstry.com/mcp \
  -H 'Content-Type: application/json' \
  -d '{"jsonrpc": "2.0","id": "1","method": "tools/call","params": {"name": "similar_mcps","arguments": {"name": "similar_mcps: com.stayker/1stay"}}}'

similar_skills

Related canonical skills

FREE

Embedding-nearest skills for a canonical id.

Given a canonical-skill id, returns the top-N related canonical skills with cosine similarity scores. Useful for skill-graph exploration — if you care about `hospitality.hotel.reservations`, the related list will surface `Lodging and Stays`, `Restaurant and F&B Service`, `Flight Search and Booking` etc. Free, rate-limited.

A2A intent aliases: similar_skills, related_skills

REST arg: skill_id

Example queries

similar_skills: hospitality.hotel.reservations
related_skills: payments.bitcoin.fee_estimation

REST

curl 'https://agenstry.com/api/v1/skills/similar_skills?skill_id=hospitality.hotel.reservations'

A2A JSON-RPC

curl -X POST https://agenstry.com/a2a \
  -H 'Content-Type: application/json' \
  -d '{"jsonrpc": "2.0","id": "1","method": "message/send","params": {"message": {"messageId": "m1","role": "user","parts": [{"kind": "text","text": "similar_skills: hospitality.hotel.reservations"}]}}}'

MCP

curl -X POST https://agenstry.com/mcp \
  -H 'Content-Type: application/json' \
  -d '{"jsonrpc": "2.0","id": "1","method": "tools/call","params": {"name": "similar_skills","arguments": {"skill_id": "similar_skills: hospitality.hotel.reservations"}}}'

Paid skills

Per-call USDC pricing — settled via Stripe prepaid balance (top up here) or bundled at $0/call on an Enterprise seat. Anonymous calls return HTTP 200 with a payment_required body listing the available payment rails. x402 USDC-on-Base settlement is launching — until then Stripe prepaid + Enterprise covers all paid calls.

compose

Compose plan

PAID · $0.10/call

Natural-language task → ranked multi-step plan.

Turn a natural-language task into a structured multi-step plan. Decomposes into canonical skills, picks the best A2A agent OR MCP server per step from our index, and returns per-candidate metadata (conformance, verified-owner, uptime, latency, risk, HITL). LLM tool-use loop driven by gpt-5.4-nano.

A2A intent aliases: compose, plan, route

REST arg: task

Example queries

compose: schedule an onboarding call with Acme BV and send a prep email
compose: estimate bitcoin fee and accept a USDC micropayment
plan: quote a hotel room for two in Amsterdam next weekend

REST

curl 'https://agenstry.com/api/v1/skills/compose?task=schedule+an+onboarding+call+with+Acme+BV+and+send+a+prep+email'

A2A JSON-RPC

curl -X POST https://agenstry.com/a2a \
  -H 'Content-Type: application/json' \
  -d '{"jsonrpc": "2.0","id": "1","method": "message/send","params": {"message": {"messageId": "m1","role": "user","parts": [{"kind": "text","text": "compose: schedule an onboarding call with Acme BV and send a prep email"}]}}}'

MCP

curl -X POST https://agenstry.com/mcp \
  -H 'Content-Type: application/json' \
  -d '{"jsonrpc": "2.0","id": "1","method": "tools/call","params": {"name": "compose","arguments": {"task": "compose: schedule an onboarding call with Acme BV and send a prep email"}}}'

compose_and_execute

Compose plan AND execute it

PAID · $0.10/call

Plan + run the steps end-to-end — managed orchestration.

Like compose, but Agenstry also fans out the plan and calls each step's selected agent for you. Free downstream steps run to completion and their results are merged into the response. Paid downstream steps surface their x402 paymentRequirements per step with a 10% margin marker so the caller can settle directly today (self-pay-and-bill via our platform wallet ships next). Bounded at 5 steps per call; per-step timeout 25s. Returns the plan, per-step execution status, aggregated results, and a total caller cost.

A2A intent aliases: compose_and_execute, execute, run

REST arg: task

Example queries

execute: find an A2A agent for invoice extraction and pull its agent card
compose_and_execute: search blockchain analytics agents and rank them
run: list MCP servers that expose hotel search tools

REST

curl 'https://agenstry.com/api/v1/skills/compose_and_execute?task=find+an+A2A+agent+for+invoice+extraction+and+pull+its+agent+card'

A2A JSON-RPC

curl -X POST https://agenstry.com/a2a \
  -H 'Content-Type: application/json' \
  -d '{"jsonrpc": "2.0","id": "1","method": "message/send","params": {"message": {"messageId": "m1","role": "user","parts": [{"kind": "text","text": "execute: find an A2A agent for invoice extraction and pull its agent card"}]}}}'

MCP

curl -X POST https://agenstry.com/mcp \
  -H 'Content-Type: application/json' \
  -d '{"jsonrpc": "2.0","id": "1","method": "tools/call","params": {"name": "compose_and_execute","arguments": {"task": "execute: find an A2A agent for invoice extraction and pull its agent card"}}}'

skill_market

Skill market data

PAID · $0.05/call

Per-canonical-skill market shape.

Per-canonical-skill market shape: number of agents serving it, price distribution (min/median/max), quality distribution, growth 30d, top providers ranked by quality.

A2A intent aliases: skill_market, market

REST arg: skill

Example queries

skill_market: pdf_extract
market: blockchain_analytics

REST

curl 'https://agenstry.com/api/v1/skills/skill_market?skill=pdf_extract'

A2A JSON-RPC

curl -X POST https://agenstry.com/a2a \
  -H 'Content-Type: application/json' \
  -d '{"jsonrpc": "2.0","id": "1","method": "message/send","params": {"message": {"messageId": "m1","role": "user","parts": [{"kind": "text","text": "skill_market: pdf_extract"}]}}}'

MCP

curl -X POST https://agenstry.com/mcp \
  -H 'Content-Type: application/json' \
  -d '{"jsonrpc": "2.0","id": "1","method": "tools/call","params": {"name": "skill_market","arguments": {"skill": "skill_market: pdf_extract"}}}'

provider_intel

Provider intelligence

PAID · $0.10/call

Per-LEI portfolio + composite trust signal.

Per-provider portfolio + composite trust signal: every agent under one LEI / provider_org, avg quality, verified-card count, signed-card count, jurisdictional metadata, aggregate on-chain revenue across the portfolio.

A2A intent aliases: provider_intel, provider

REST arg: provider

Example queries

provider_intel: 549300U4SK7P5XWFXX08
provider: tavily

REST

curl 'https://agenstry.com/api/v1/skills/provider_intel?provider=549300U4SK7P5XWFXX08'

A2A JSON-RPC

curl -X POST https://agenstry.com/a2a \
  -H 'Content-Type: application/json' \
  -d '{"jsonrpc": "2.0","id": "1","method": "message/send","params": {"message": {"messageId": "m1","role": "user","parts": [{"kind": "text","text": "provider_intel: 549300U4SK7P5XWFXX08"}]}}}'

MCP

curl -X POST https://agenstry.com/mcp \
  -H 'Content-Type: application/json' \
  -d '{"jsonrpc": "2.0","id": "1","method": "tools/call","params": {"name": "provider_intel","arguments": {"provider": "provider_intel: 549300U4SK7P5XWFXX08"}}}'

flow_trends

Money-flow trends + cohorts

PAID · $0.05/call

Daily time-series + weekly cohorts + per-protocol split.

Time-series of the agent-economy revenue stream: daily gross + tx + earning-agent count for the requested window (7-180d), weekly cohort table by first-seen date, and per-protocol split (x402 vs ap2 vs stripe_acp vs l402). Designed for hedge-fund / VC market research loops — the kind of caller that wants to see leading indicators (new cohort weekly growth, protocol-mix shift) rather than the current snapshot. Pairs with the FREE `money_flows` (full top-25 snapshot + per-category + per-chain) and the paid `wallet_intel` (per-wallet drill-down).

A2A intent aliases: flow_trends, trends

REST arg: window_days

Example queries

flow_trends
trends: 90
flow_trends: 14

REST

curl 'https://agenstry.com/api/v1/skills/flow_trends?window_days=flow_trends'

A2A JSON-RPC

curl -X POST https://agenstry.com/a2a \
  -H 'Content-Type: application/json' \
  -d '{"jsonrpc": "2.0","id": "1","method": "message/send","params": {"message": {"messageId": "m1","role": "user","parts": [{"kind": "text","text": "flow_trends"}]}}}'

MCP

curl -X POST https://agenstry.com/mcp \
  -H 'Content-Type: application/json' \
  -d '{"jsonrpc": "2.0","id": "1","method": "tools/call","params": {"name": "flow_trends","arguments": {"window_days": "flow_trends"}}}'

wallet_intel

Wallet intelligence

PAID · $0.10/call

Per-wallet portfolio across the index.

Per-wallet portfolio of every indexed agent that settles into this address. Returns the linked-agent list, 7/30/90 day aggregate inflow, cross-chain presence, and the providers behind the wallet. Pairs with `provider_intel` for the full identity ↔ economics view.

A2A intent aliases: wallet_intel, wallet

REST arg: address

Example queries

wallet_intel: 0x0FF5A6ecef783BBA35463ec2F8403B9B5e9e7C86
wallet: 0x47ffc880cfF2e8F18fD9567faB5a1fBD217B5552

REST

curl 'https://agenstry.com/api/v1/skills/wallet_intel?address=0x0FF5A6ecef783BBA35463ec2F8403B9B5e9e7C86'

A2A JSON-RPC

curl -X POST https://agenstry.com/a2a \
  -H 'Content-Type: application/json' \
  -d '{"jsonrpc": "2.0","id": "1","method": "message/send","params": {"message": {"messageId": "m1","role": "user","parts": [{"kind": "text","text": "wallet_intel: 0x0FF5A6ecef783BBA35463ec2F8403B9B5e9e7C86"}]}}}'

MCP

curl -X POST https://agenstry.com/mcp \
  -H 'Content-Type: application/json' \
  -d '{"jsonrpc": "2.0","id": "1","method": "tools/call","params": {"name": "wallet_intel","arguments": {"address": "wallet_intel: 0x0FF5A6ecef783BBA35463ec2F8403B9B5e9e7C86"}}}'

keyword_trends

Keyword trends — what agents are searching for

PAID · $0.05/call

Top queries, growth, related skills.

Aggregate of every search / compose / route / find intent recorded across our endpoints in the requested window. Returns top 50 keywords by volume, growth-rate vs prior window (7d → 7d), the canonical skills + top agents that surface for each keyword, and a list of rising 'movers' (new entries in the top 50 vs last week). Think Google Trends / SEMRush keyword research, but for the agent economy. Free `trends_summary` companion returns the top-10 teaser.

A2A intent aliases: keyword_trends, trends_kw

REST arg: window_days

Example queries

keyword_trends
keyword_trends: 90
trends_kw

REST

curl 'https://agenstry.com/api/v1/skills/keyword_trends?window_days=keyword_trends'

A2A JSON-RPC

curl -X POST https://agenstry.com/a2a \
  -H 'Content-Type: application/json' \
  -d '{"jsonrpc": "2.0","id": "1","method": "message/send","params": {"message": {"messageId": "m1","role": "user","parts": [{"kind": "text","text": "keyword_trends"}]}}}'

MCP

curl -X POST https://agenstry.com/mcp \
  -H 'Content-Type: application/json' \
  -d '{"jsonrpc": "2.0","id": "1","method": "tools/call","params": {"name": "keyword_trends","arguments": {"window_days": "keyword_trends"}}}'

agent_callers

Agent callers — who's calling this agent

PAID · $0.05/call

Per-agent caller breakdown (host / peer / country / surface).

For one agent domain, return the full 30-day caller-attribution breakdown captured by our universal call log: which AI hosts called it (Claude Desktop / Cursor / OpenAI Responses / ChatGPT / n8n / curl / browser), which A2A peer agents called it, caller geography (ISO-2 country), surface mix (a2a / mcp / rest / web / managed_runtime), and the top search intents that surfaced it. The data we uniquely collect — no other registry tracks caller host classification. Designed for one-off competitor research; for cross-platform shift analysis + watchlists + alerts, see the Enterprise tier.

A2A intent aliases: agent_callers, callers

REST arg: domain

Example queries

agent_callers: silas.sylex.ai
agent_callers: api.deepbluebase.xyz

REST

curl 'https://agenstry.com/api/v1/skills/agent_callers?domain=silas.sylex.ai'

A2A JSON-RPC

curl -X POST https://agenstry.com/a2a \
  -H 'Content-Type: application/json' \
  -d '{"jsonrpc": "2.0","id": "1","method": "message/send","params": {"message": {"messageId": "m1","role": "user","parts": [{"kind": "text","text": "agent_callers: silas.sylex.ai"}]}}}'

MCP

curl -X POST https://agenstry.com/mcp \
  -H 'Content-Type: application/json' \
  -d '{"jsonrpc": "2.0","id": "1","method": "tools/call","params": {"name": "agent_callers","arguments": {"domain": "agent_callers: silas.sylex.ai"}}}'

Add a skill

Skills are defined in app/skill_catalog.py — a single Python dataclass per skill. Add an entry there and it appears on this page, in /pricing's paid tile, in /api/v1/skills/<id>, in /a2a's intent grammar, and in /mcp's tools list automatically. Single source of truth, zero template edits.

Free skills

Paid skills

Add a skill

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