Install Jentic One Beta
Jentic One is a self-hosted execution layer for AI agents. It lets your agent call the Pain Spotter Public API, or any other public or private API you need. You set the rules, the agent never sees your credentials, and every call is logged.
Two steps, two machines. Install the instance in a safe environment, then register your agent from wherever it runs.
Step 1: Jentic One Host machine
# On the machine that will host your Jentic One instance:
curl -fsSL "https://jentic.com/install.sh?src=apis&api=%2Fapis%2Fpainspotter.ai%2Fpainspotter" | shStep 2: Agent machine
# On the machine where your agent runs (keep this separate from the instance):
curl -fsSL "https://jentic.com/install.sh?src=apis&api=%2Fapis%2Fpainspotter.ai%2Fpainspotter" | sh
jentic register # connects your agent to your Jentic One instanceJentic One is in public beta. The setup above keeps your agent separate from the instance, which is what you want before using real credentials: an agent running as the same OS user as Jentic One can read its stored keys directly. Just evaluating? A single local install is fine to start. See the secure deployment guide for the tiers.
What an agent can do with Pain Spotter Public API.
Filter opportunities by platform, channel, keyword q, min_score, and a Build, Validate, or Skip recommendation through /api/v1/opportunities
Restrict results to online-deliverable ideas with the online_only parameter
Read an opportunity's market_size_estimate, key_features, competitors, differentiation, and risks from /api/v1/opportunities/{id}
Compare ideas on pain_point_intensity, willingness_to_pay_score, tech_difficulty, and sustainability_score
GET STARTED
Search published blog analyses with q and fetch an article's body_md by slug
Patterns agents use Pain Spotter Public API for, with concrete tasks.
★ Agent idea research through Jentic
A founder asks their agent for validated product ideas in a niche. Through Jentic the agent calls listOpportunities with q set to the niche, recommendation set to Build, and a min_score threshold, then fetches each top result with getOpportunity to read competitors and risks before writing a shortlist. Your own Jentic One instance injects the X-API-Key value, so the agent never holds it.
GET /api/v1/opportunities with q 'invoicing', recommendation 'Build', and min_score 75, then GET /api/v1/opportunities/{id} for the top three and summarise their competitors and risks
Community pain point monitoring by platform
Product teams track what users complain about on a specific community. Filtering by platform and channel returns the scored opportunities mined there, each with evidence_count showing how many source posts back it, so a team can watch a subreddit or forum for recurring problems worth solving.
GET /api/v1/opportunities with platform 'reddit', page_size 20, and online_only true, then rank the results by evidence_count
Content pipeline from published analyses
Newsletters and research digests reuse Pain Spotter's published analyses. GET /api/v1/blog lists articles with excerpt, tags, and related_opportunity_id, and GET /api/v1/blog/{slug} returns the article including its raw Markdown body_md, ready to quote or summarise.
GET /api/v1/blog with q 'saas', then GET /api/v1/blog/{slug} for the newest result and summarise its body_md in five bullet points
4 endpoints — the pain spotter public api returns ai-scored business opportunities mined from user complaints on reddit, hacker news, product hunt, stack exchange, and other open communities.
METHOD
PATH
DESCRIPTION
/api/v1/opportunities
List opportunities with filters
/api/v1/opportunities/{id}
Get opportunity detail
/api/v1/blog
List blog analyses
/api/v1/blog/{slug}
Get an article with Markdown body
/api/v1/opportunities
List opportunities with filters
/api/v1/opportunities/{id}
Get opportunity detail
/api/v1/blog
List blog analyses
/api/v1/blog/{slug}
Get an article with Markdown body
What agents get from Jentic-routed access to this vendor.
Setup
Wiring Pain Spotter by hand means passing the X-API-Key header, tracking a monthly call quota, and paging through filtered results. Through Jentic you install once, import Pain Spotter from the API Directory, store the key once, and your agent calls it.
Permission scoping
Pain Spotter puts the opportunity id and article slug in the URL path, so a rule can pin your agent to a single opportunity or article. You choose which of the four read operations it may call, which also bounds how fast it uses the monthly quota.
Credential isolation
Your Pain Spotter API key is stored once, encrypted, by your own Jentic One instance and injected at execution time. It never enters the agent's prompt, logs, or context.
Intent-based discovery
Agents search Jentic by intent such as 'find startup ideas from Reddit complaints', and Jentic returns the matching Pain Spotter operation with its input schema so the agent sets the right filters.
Alternatives and complements available in the Jentic catalogue.
Specific to using Pain Spotter Public API through Jentic.
What authentication does the Pain Spotter Public API use?
The Pain Spotter Public API authenticates with an API key sent in the X-API-Key header per its OpenAPI spec. Through Jentic the key is stored encrypted by your own Jentic One instance and injected at call time, so it never enters the agent's prompt or logs.
What are the rate limits for the Pain Spotter Public API?
The spec states monthly quotas by plan: Free 20, Pro 1,000, and Business 5,000 calls per month, resetting on the 1st of each month UTC.
Can I filter Pain Spotter opportunities by recommendation and score?
Yes. GET /api/v1/opportunities accepts recommendation with the values Build, Validate, or Skip, a min_score threshold, platform, channel, a keyword q, and online_only, plus page and page_size for pagination.
How do I find buildable ideas through Jentic?
Install Jentic One, add the Pain Spotter Public API from the Jentic API Directory, and store your API key once. Your agent searches for 'find scored business opportunities', gets listOpportunities with its input schema, and calls it with recommendation set to Build. To run it on your own infrastructure, install Jentic One from its GitHub repo.
Is there a Pain Spotter MCP server?
You don't need an MCP server to give your agent the Pain Spotter Public API. Jentic connects it directly from the API Directory: import it, store your credential once, and your agent calls it.
Can I limit what my agent is allowed to do with the Pain Spotter Public API?
Yes. The API is read-only, so the main reason to limit it is quota: write a rule that allows only listOpportunities and getOpportunity, and the agent cannot spend calls on the blog endpoints. Your own Jentic One instance logs what it called.
For Agents
Search AI-scored startup and product opportunities mined from Reddit, Hacker News, Product Hunt, and Stack Exchange, filter them by platform, score, or Build/Validate/Skip recommendation, and read the full opportunity analysis or related blog article.
Use for: Find business ideas from Reddit that Pain Spotter recommends building, List all opportunities with a score above 80, Get the competitors and risks for this opportunity, Search for opportunities about invoicing for freelancers
Not supported: Does not post to communities, return raw Reddit or Hacker News threads, or track brand mentions. Use for reading Pain Spotter's scored business opportunities and published analyses only.
The Pain Spotter Public API returns AI-scored business opportunities mined from user complaints on Reddit, Hacker News, Product Hunt, Stack Exchange, and other open communities. Each opportunity carries a Build, Validate, or Skip recommendation, an overall score, and sub-scores for pain point intensity, willingness to pay, technical difficulty, and sustainability, along with target audience and monetization model. The detail view adds a market size estimate, key features, competitors, differentiation, and risks, and a companion blog endpoint serves the published analyses with their raw Markdown body. Access is read-only.
This API is usable in Jentic One now. Its AI-readiness score against Jentic's framework shows where it stands today and where improvements would make it even easier for agents to use.
Base layer of spec validity and structural soundness.
Aggregated quality score from linter diagnostics, weighted by severity.
Percentage of `$ref` references that resolve successfully.
Checks whether the API description parses successfully and conforms to its declared specification (e.g., OpenAPI).
Structural correctness score based on schema issues using logarithmic dampening.
Clarity, completeness, and ingestion readiness for developers and tooling.
How richly the API is illustrated with examples.
Percentage of examples that conform to their schemas.
Percentage of operations with complete response definitions (success, client error, server error).
Health of API ingestion, bundling, and resolution within Jentic pipelines.
Semantic breadth, depth, and agent comprehension for AI systems.
Coverage of descriptions across API elements.
Coverage of RFC 9457 Problem Details for error responses.
Coverage, uniqueness, and casing consistency of operationIds for AI inference.
Coverage of summaries across operations/tags/info.
Functional utility, complexity comfort, and AI orchestration readiness.
Agent comfort level based on API operational and structural complexity.
Trust, risk posture, and security compliance.
Average quality of security schemes based on authentication method strength (weakest link for OAuth2).
Findability, semantic richness, and reasoning readiness.
Clarity and depth of descriptions across API elements.
Score it yourself
Every API in the directory is allowlisted, so you can re-score it with no key required.
npx @jentic/api-scorecard-cli score <openapi-url>