Photo Scout

io.github.impanyuv0.1.0Updated Oct 9, 2026

Find nearby photo spots using real street imagery, visual scores and camera headings.

VerifiedStreamable HTTPWeb executableMedia & DesignLocation & Lifestyle

Overview

AI-generated overview

Finds nearby photo spots using street imagery, visual scores and camera headings, with a free pricing tool and a paid search tool.

What it does
Photo Scout is a remote MCP service that helps an assistant locate nearby photography locations. It exposes a free tool that describes pricing and coverage, and a paid search tool that returns photo spots with visual scores and camera headings based on street imagery. The service is reached over Streamable HTTP at its public agent endpoint.
When to use it
Useful when a user wants suggestions for places to photograph in a given area and the assistant should return scored spots rather than a plain list. Consider it when street-level imagery and camera orientation matter more than general map search.
Requirements
A remote MCP client that supports Streamable HTTP, pointed at the published Photo Scout agent endpoint. No package install, account, or API key is declared. The paid search tool requires payment in Base USDC through x402; the HTTP endpoint also accepts MPP.
Before you install
The search tool is paid at $2 per search in Base USDC, so calls spend real funds; the free pricing tool should be used first to check cost and coverage. Payment and settlement details are handled by the remote service, and a settled payment has not been independently verified. Results depend on third-party street imagery.

Installation

In SourceWeft

  1. Open Photo Scout in the dashboard and add it to a workspace.
  2. Enable the server for the chats that should use its tools.

Web executable via Streamable HTTP. Remote servers run from the web runtime once configured in a workspace.

Other MCP clients

Add this to your client's mcpServers config.

{
  "mcpServers": {
    "photo-scout": {
      "type": "http",
      "url": "https://api.aisoup.net/photo-scout/mcp"
    }
  }
}

README

Agentic Services

Agentic Services is a multi-service platform for human users, autonomous agents, or both. Each service owns a focused capability and can be sold independently through the appropriate user-facing and/or machine-facing channel.

Services belong to one of three product categories:

  • Human-only: designed for people to use through a UI; no agent-callable interface is required.
  • Agent-only: designed for autonomous agents to discover, purchase, and invoke through a machine interface; an informational product page is not a human-use UI.
  • Human-and-agent: provides both a usable human UI and a machine service interface for the same underlying capability.

The category describes intended users, not whether a website or API happens to exist. APIs, MCP tools, and A2A services are possible machine transports; a human UI is a separate product surface.

Product contract

Every published service has a stable identity, its own offer and delivery contract, a payment path, and service-level and policy information. Requirements depend on its category:

  • Human-only services need a usable UI and human checkout or entitlement flow.
  • Agent-only services need a machine-readable description, input/output schemas, a callable transport, and machine-compatible pricing and payment.
  • Human-and-agent services need both complete surfaces, backed by the same service identity and consistent results and commercial terms where applicable.
  • Paid delivery must be metered and recorded. Machine calls require idempotency and verifiable receipts; human transactions require an order record and appropriate receipt.
  • Data services publish provenance and freshness appropriate to their claims.

For services with an agent interface, the canonical public manifest lives at:

text
https://<service-host>/.well-known/agent-service.json

The same manifest can be indexed by the platform registry and exported to compatible discovery networks. Human-only services do not need an agent manifest.

Repository layout

text
docs/                         Product and system designexamples/                     Example service manifestsschemas/                      Versioned protocol schemasservices/                     Product-specific documentationsrc/agentic_services/         Runnable gateway and Web Evidence APItests/                        API contract and safety tests

The initial protocol is defined by schemas/service-manifest.schema.json. An illustrative service is in examples/weather-risk.service.json.

Architecture

The platform has four layers:

  • Service layer — focused information products owned by individual service modules.
  • Gateway layer — identity, quotes, payment verification, rate limits, and receipts.
  • Registry layer — capability search, health, reputation, and machine-readable manifests.
  • Settlement layer — adapters for pay-per-call, credits, and subscriptions.

See docs/architecture.md for the execution flow and docs/roadmap.md for the build sequence.

For Niche Discovery, see the continuous collection and agent-analysis design. Its Niche Manager Agent owns autonomous research and knowledge-base maintenance through an extensible tool registry, memory, periodic runs and event-driven wakes.

Design principles

  • Protocol-first for agent-facing services: an agent can integrate from schemas without reading prose.
  • Narrow services: each service owns a small domain and returns a useful result, not raw data alone.
  • Payment-neutral core: commercial terms are stable while payment rails remain replaceable.
  • Verifiable delivery: paid transactions have an order record; machine executions have a receipt tied to the request, price, and result.
  • Safe autonomy for machine purchases: budgets, expiry, replay protection, and idempotency are enforced in deterministic code.
  • Federated discovery: the platform registry is useful but is not the only way to find a service.

Run Web Evidence locally

The first runnable service is Web Evidence, a structured claim-verification API backed by the OpenAI Responses API and hosted web search.

bash
python3 -m venv .venv.venv/bin/pip install -e '.[dev]'cp .env.example .env.local# Add OPENAI_API_KEY to .env.local.venv/bin/agentic-services

The API starts at http://localhost:8000. Its main endpoints are:

  • POST /web-evidence/v1/claims/verify/quick — $0.02 quick verification.
  • POST /web-evidence/v1/claims/verify — $0.05 standard verification.
  • POST /web-evidence/v1/claims/verify/deep — $0.12 deep verification.
  • POST /web-evidence/v1/claims/verify/research — $0.25 research-grade verification.

The earlier /v1/services/web-evidence/claims/verify... and /v1/claims/verify... paths remain supported as deprecated compatibility aliases.

  • GET /v1/claims/verifications/{verification_id} — retrieve the immutable result.
  • GET /v1/url-snapshots/{snapshot_id} — retrieve snapshot status and content hashes.
  • GET /v1/url-snapshots/{snapshot_id}/content — retrieve the exact captured response bytes.
  • GET /.well-known/agent-service.json — discover the service and its schemas.
  • GET /.well-known/x402 — discover x402-payable resource URLs.
  • POST /mcp — MCP Streamable HTTP server with one free discovery tool and four x402-paid verification tools.
  • GET /.well-known/mcp/server.json — MCP Registry metadata.
  • POST /a2a — A2A 1.0 JSON-RPC SendMessage, paid at the Standard tier.
  • GET /.well-known/agent-card.json — A2A Agent Card.
  • GET /openapi.json — inspect the complete HTTP contract.
  • GET /v1/services — list every service in the platform catalog.
  • GET /llms.txt — read concise agent integration instructions.
  • GET / — human-readable landing page with structured data; robots.txt and sitemap.xml support web indexing.
  • POST /v1/quotes — create a 15-minute machine-readable tier quote.
  • GET /v1/orders/{order_id} — retrieve one paid order and signed receipt with its one-time order token.
  • GET /v1/customer/orders — list a registered customer's orders with X-Agentic-Customer-Key.
  • POST /v1/receipts/{order_id}/verify — verify the server signature on an issued receipt.
  • GET /admin — private commerce dashboard for revenue, OpenAI cost, gross profit, and individual orders.
  • GET /v1/admin/services — list services available to the commerce dashboard.
  • GET /v1/admin/summary, GET /v1/admin/orders — dashboard APIs authenticated with X-Admin-Key; both support platform-wide reporting and serviceId filtering.
  • POST /v1/admin/customers — issue a customer API key; plaintext is returned once and only its SHA-256 hash is stored.

Example request:

bash
curl http://localhost:8000/v1/claims/verify \  -H 'Content-Type: application/json' \  -H 'Idempotency-Key: example-claim-1' \  -d '{    "claim": "OpenAI publishes an official Responses API reference.",    "sourcePolicy": "official_only",    "allowedDomains": ["openai.com"],    "minimumSources": 1  }'

See docs/web-evidence-api.md for request semantics, evidence guarantees, and the planned paid-service endpoints.

For the production Docker Compose deployment at api.aisoup.net, follow deploy/google-cloud-vm.md. The public gateway accepts x402 and MPP payments in Base USDC at the listed tier prices. It also accepts card/USD payments through MPP Stripe at a $0.50 minimum per call. The Python service remains private behind an internal Bearer credential.

Live discovery

California C-10 Contractor Check is live for humans through Stripe Checkout ($19/report) and for agents through its paid HTTP API and MCP endpoint ($1/check in Base USDC). Its Smithery listing, official MCP Registry record, and route on the shared x402Scan page are publicly visible. The release contract and repeatable validation gates are in docs/agent-service-release.md. Other external directory entries and a settled payment are not yet verified.

Web Evidence is published through the following public discovery surfaces:

The repository also carries server.json for MCP Registry publication and glama.json for a future Glama submission. The landing page publishes Schema.org service metadata, robots.txt, sitemap.xml, OpenAPI, llms.txt, and well-known manifests for independent crawlers. A directory is only treated as live after its public listing can be retrieved independently.

The api.aisoup.net URL-prefix property is verified in Google Search Console and its sitemap has been submitted. Production also exposes a private-key-backed IndexNow ownership file so updated discovery URLs can be sent to participating search engines. Search-engine inclusion remains asynchronous and is not treated as complete until the result is publicly searchable.

Status

The repository contains the v0 protocol, a runnable tiered Web Evidence service, full provider-source provenance, URL snapshots with raw and normalized SHA-256 hashes, SQLite persistence, machine-readable discovery, and an x402/MPP dual-protocol payment gateway. Each paid HTTP, MCP, or A2A execution creates an order, signed receipt, and detailed revenue/cost ledger entry. The admin dashboard reports per-order OpenAI token and Web Search costs, gross profit, and margins. Production USDC settlement and public MCP, A2A, x402, and MPP directory discovery have been verified. MPP Stripe has passed an isolated two-account sandbox payment; a real live-mode card charge remains an acceptance requirement. The next milestone is additional evidence operations and ongoing directory health monitoring.

Niche Manager runtime and deployment: operations.

Photo Scout's agent API is public at https://api.aisoup.net/photo-scout/mcp. The free list_photo_scout_prices tool describes pricing and coverage; the paid discover_photo_spots tool costs $2 in Base USDC using x402 MCP. The HTTP endpoint retains MPP and the human website remains a free preview. Its official MCP Registry record was verified publicly. Photo Scout is also listed on x402Scan and MPPScan at $2/search. Smithery GitHub authorization is complete; publication awaits owner email verification. A settled payment has not been independently verified. See release metadata and API documentation.

Source: README.md at commit feb7e5f

Tools

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Version history

1
  1. v0.1.0LatestOct 9, 2026