Install Jentic One Beta
Jentic One is a self-hosted execution layer for AI agents. It lets your agent call the HaterPicks API (HaterAPI), 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%2Fhaterpicks.app%2Fhaterpicks" | 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%2Fhaterpicks.app%2Fhaterpicks" | 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 HaterPicks API (HaterAPI) API.
List live odds merged and de-duplicated across Australian bookmakers
Pull player-prop markets for a single sport
List positive-expected-value player-prop opportunities
List cross-bookmaker arbitrage opportunities
Price a same-game multi across bookmakers
GET STARTED
Patterns agents use HaterPicks API (HaterAPI) API for, with concrete tasks.
★ Odds Aggregation Feed
An agent pulls one clean view of Australian sports odds instead of scraping each bookmaker. It lists odds for the game lines it cares about, head-to-head, totals, and spreads, already merged and de-duplicated across bookmakers. This gives a betting tool a single source for current prices without maintaining a scraper per site.
Call the odds operation and return the head-to-head prices for a given match across bookmakers
Value and Arbitrage Scanning
An agent scans for edges across bookmakers. On the plans that expose them, it lists positive-expected-value player-prop opportunities and cross-bookmaker arbitrage, then surfaces the ones above a chosen edge to an operator. Because EV and arbitrage are separate operations, the agent runs whichever the current plan supports.
List positive-EV opportunities and return those whose edge is above a given percentage
Same-Game Multi Pricing
An agent prices a same-game multi before a user commits to it. It sends the legs to the same-game-multi quote operation and reads back a merged price across bookmakers. This lets a tool show a combined price for a multi without the user pricing each leg by hand.
Send a set of same-game-multi legs to the quote operation and return the combined price
7 endpoints — the haterpicks api returns live australian sports-betting odds, merged and de-duplicated across australian bookmakers.
METHOD
PATH
DESCRIPTION
/api/v1/odds
List live odds across Australian bookmakers
/api/v1/ev
List positive-EV player-prop opportunities
/api/v1/props
List player-prop markets for one sport
/api/v1/arbs
List cross-bookmaker arbitrage opportunities
/api/v1/sgm-quote
Price a same-game multi across bookmakers
/api/v1/odds
List live odds across Australian bookmakers
/api/v1/ev
List positive-EV player-prop opportunities
/api/v1/props
List player-prop markets for one sport
/api/v1/arbs
List cross-bookmaker arbitrage opportunities
/api/v1/sgm-quote
Price a same-game multi across bookmakers
What agents get from Jentic-routed access to this vendor.
Setup
Wiring HaterPicks by hand means choosing between a bearer token and an x-api-key header, knowing which endpoints are open, and handling markets gated by plan. Through Jentic you install once, import HaterPicks from the API Directory, store the credential once, and your agent calls it.
Permission scoping
HaterPicks takes its parameters in the request rather than a resource id in the URL, so a rule bounds which operations your agent may call, not which market it reads. You choose the read operations it may use, such as listing odds and props, so the same-game-multi quote operation stays off until you add it.
Credential isolation
Your HaterPicks credential 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 'list live sports odds' or 'find arbitrage opportunities', and Jentic returns the matching HaterPicks operation with its input schema so the agent calls the right endpoint without reading the reference docs.
Alternatives and complements available in the Jentic catalogue.
Specific to using HaterPicks API (HaterAPI) API through Jentic.
What authentication does the HaterPicks API use?
Per its OpenAPI spec, the HaterPicks API accepts either a bearer token in the Authorization header or an x-api-key header, while the describe and waitlist endpoints are open. Through Jentic the credential is stored by your own self-hosted instance and injected when the agent calls a data operation, so it never appears in the agent's prompt or logs.
Can I get merged Australian bookmaker odds with the HaterPicks API?
Yes. The odds operation returns live game lines, such as head-to-head, totals, and spreads, already merged and de-duplicated across Australian bookmakers, so an agent reads one clean set of prices rather than scraping each site. Higher plans add player props, positive-EV opportunities, arbitrage, and same-game-multi pricing.
What are the rate limits for the HaterPicks API?
The OpenAPI spec does not state a numeric rate limit, and some operations are gated by plan rather than by request volume. Add backoff around 429 responses, and check the HaterPicks documentation at https://www.haterpicks.app for current limits and plan tiers.
Can I limit what my agent is allowed to do with the HaterPicks API?
Yes. HaterPicks takes its query parameters in the request, not a resource id in the URL path, so a rule bounds which operations your agent may call rather than which market it reads. You choose that it may list odds and player props while the same-game-multi quote operation stays off until you add it, and every call it makes is logged.
Is there a HaterPicks MCP server?
You do not need an MCP server to give your agent the HaterPicks API. Jentic connects it directly from the Jentic API Directory: import HaterPicks, store your key once, and your agent calls the odds and arbitrage operations on demand without loading another server's tool definitions into its context.
How do I read live odds with the HaterPicks API through Jentic?
Search Jentic by intent such as 'list live sports odds', and Jentic returns the HaterPicks odds operation with its input schema so the agent sends the right query. To run it on your own infrastructure, install Jentic One from its GitHub repo with `curl -fsSL https://raw.githubusercontent.com/jentic/jentic-one/main/tools/install.sh | sh`, then add HaterPicks from the directory.
For Agents
List live Australian sports odds merged across bookmakers, pull player props, and find positive-EV and arbitrage opportunities or price a same-game multi.
Use for: List live head-to-head odds for today's matches, Find positive-EV player-prop opportunities, Get the player-prop markets for one sport, Check for cross-bookmaker arbitrage opportunities
Not supported: Does not handle placing bets, settling wagers, or managing a betting account. Use for reading Australian sports odds, value, arbitrage, and same-game-multi prices only.
The HaterPicks API returns live Australian sports-betting odds, merged and de-duplicated across Australian bookmakers. An agent lists game lines such as head-to-head, totals, and spreads, pulls player-prop markets for a sport, and on higher plans lists positive-expected-value opportunities, cross-bookmaker arbitrage, and prices a same-game multi across bookmakers. A describe operation and a bookmaker desk-feed enquiry round out the surface.
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>