Install Jentic One Beta

Connect the InsightSocial API to your agent

Jentic One is a self-hosted execution layer for AI agents. It lets your agent call the InsightSocial 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%2Finsightsocial.app%2Finsightsocial" | sh

Step 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%2Finsightsocial.app%2Finsightsocial" | sh
jentic register       # connects your agent to your Jentic One instance

Jentic 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.

Capabilities

What an agent can do with InsightSocial API.

Search public posts and conversations on Reddit, TikTok, X (Twitter), Threads, Bluesky, and other platforms by keyword

Read a LinkedIn profile by URL with its experiences, educations, skills, and recent posts, or a company page

Fetch a YouTube video's transcript, comments, and sponsors, or list trending videos by region

Pull an Instagram profile and its posts or reels, with filters such as since, recent_days, and exclude_pinned

GET STARTED

Start building with InsightSocial API

Explore with Jentic One

View OpenAPI Document

Use Cases

Patterns agents use InsightSocial API for, with concrete tasks.

★ Social research agent through Jentic

An AI agent connected through Jentic answers questions like 'what are people saying about our launch' by searching Reddit, X, and TikTok, then reading the top posts and their comments. Because every platform shares one response shape per entity, the agent compares results across networks without per-platform parsing. It can call with dry_run first to check the credit cost, and the x-api-key stays in your own Jentic One instance.

Call GET /v1/reddit/search with query 'acme launch', sort 'new', and timeframe 'week', then read the top result's comments with GET /v1/reddit/post/comments using its url

Video transcript and comment analysis

Turn a YouTube video into text an agent can summarise. The transcript operation takes the video url and a language, and the comments operation returns viewer comments with an order and searchTerm filter, so an agent can summarise a video and the reaction to it in one pass. Transcripts are also available for X posts, Reddit posts, and Facebook ad library ads.

Call GET /v1/youtube/video/transcript with url 'https://www.youtube.com/watch?v=dQw4w9WgXcQ' and language 'en', then summarise the transcript in five bullet points

LinkedIn prospect and company research

Sales and recruiting agents read a LinkedIn profile from its URL and expand it into experiences, educations, skills, and recent posts, or read a company page and its posts. Similar-profile lookups help widen a shortlist from one good match.

Call GET /v1/linkedin/profile with url 'https://www.linkedin.com/in/example', then GET /v1/linkedin/profile/experiences with the same url to list past roles

Competitor ad monitoring

Marketing teams track what competitors advertise. The Facebook ad library operations search ads by keyword or by company, filtered by country, status, and media_type, and return an ad's transcript; TikTok's ad library is covered as well.

Call GET /v1/facebook/adlibrary/company/ads with companyName 'Acme', country 'US', and status 'ACTIVE', then summarise the creative themes

Key Endpoints

306 endpoints — the insightsocial api reads public social data from 25 platforms, including linkedin, tiktok, instagram, facebook, youtube, x (twitter), and reddit, through one api key and one credit balance.

METHOD

PATH

DESCRIPTION

GET

/v1/reddit/search

Search Reddit posts

GET

/v1/tiktok/search

Search TikTok videos

GET

/v1/linkedin/profile

Get a LinkedIn profile by URL

GET

/v1/youtube/video/transcript

Get a YouTube video transcript

GET

/v1/instagram/profile/posts

List an Instagram profile's posts

GET

/v1/twitter/tweet/replies

List replies to a tweet

GET

/v1/facebook/adlibrary/search/ads

Search the Facebook ad library

GET

/v1/credits

Get credit balance and usage

GET

/v1/reddit/search

Search Reddit posts

GET

/v1/tiktok/search

Search TikTok videos

GET

/v1/linkedin/profile

Get a LinkedIn profile by URL

GET

/v1/youtube/video/transcript

Get a YouTube video transcript

GET

/v1/instagram/profile/posts

List an Instagram profile's posts

GET

/v1/twitter/tweet/replies

List replies to a tweet

GET

/v1/facebook/adlibrary/search/ads

Search the Facebook ad library

GET

/v1/credits

Get credit balance and usage

Why Jentic?

What agents get from Jentic-routed access to this vendor.

Setup

Wiring InsightSocial by hand means sending the x-api-key header, tracking per-operation credit prices, and choosing among hundreds of platform-specific operations. Through Jentic you install once, import InsightSocial from the API Directory, store the key once, and your agent calls it.

Permission scoping

InsightSocial names the platform in each operation's path and takes the handle, URL, or query as a query parameter, so rules bound which operations your agent may call, not which account or post. You choose the operations it may call, so the agent cannot spend credits on platforms you did not include.

Credential isolation

Your InsightSocial 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 'search Reddit for mentions' or 'get a YouTube transcript', and Jentic returns the matching InsightSocial operation with its input schema so the agent calls the right endpoint without browsing the reference docs.

FAQs

Specific to using InsightSocial API through Jentic.

Is there an InsightSocial MCP server?

You don't need an MCP server to give your agent InsightSocial. Jentic connects it directly from the API Directory: import it, store your API key once, and your agent calls it. With hundreds of operations in the spec, the agent searching for the one it needs keeps its context far smaller than loading every tool definition up front.

Can I limit what my agent is allowed to do with the InsightSocial API?

Yes. For a brand-monitoring agent, write a rule that allows only GET /v1/reddit/search, GET /v1/reddit/post/comments, and GET /v1/credits. The agent can search Reddit, read comment threads, and watch its own credit balance, but it cannot spend credits on LinkedIn, TikTok, or any other platform, and every call it makes is logged.

What authentication does the InsightSocial API use?

Per its OpenAPI spec, the InsightSocial API uses an API key sent in the `x-api-key` header; keys start with `isk_` and come from the InsightSocial dashboard. The endpoint list and the OpenAPI document itself are open without a key. Through Jentic, the key is stored encrypted by your own Jentic One instance and injected when each call runs.

How much does an InsightSocial call cost?

Calls are billed in credits from one balance, and the price varies by operation; for example, the spec lists the Bluesky profile lookup at 10 credits per call. Add dry_run=1 to any data call to get credits_min and credits_max without being charged, and call GET /v1/credits, which is free, to see your balance and this period's usage.

What are the rate limits for the InsightSocial API?

The OpenAPI spec mentions a rate limit but does not state a number; check https://insightsocial.app for current limits. It does note that a paginated walk billed as one call counts once against your rate limit.

How do I get a YouTube transcript with the InsightSocial API through Jentic?

Install Jentic One with `curl -fsSL https://raw.githubusercontent.com/jentic/jentic-one/main/tools/install.sh | sh`, import InsightSocial from the API Directory, and store your API key. Your agent searches for 'get a YouTube video transcript', gets GET /v1/youtube/video/transcript with its input schema, and calls it with the video url and language. To run it on your own infrastructure, install Jentic One from its GitHub repo.

Can the InsightSocial API post or reply on social networks?

No. Every operation in the spec is a GET that reads public data. It does not publish posts, send messages, or act on behalf of an account; use each platform's own publishing API for that.

Insightsocial App InsightSocial API

AI ReadinessFoundational (C+)58/100

See full scorecard

Official vendor OpenAPI document · agent-readySocial MediaSocial ListeningapiKey306 EndpointsREST

For Agents

Look up public profiles, posts, comments, transcripts, and search results across LinkedIn, TikTok, Instagram, YouTube, X, Reddit, and other platforms with one key, and check call prices with dry_run.

Use for: Search Reddit for posts mentioning my product this week, Get the transcript of this YouTube video, Pull the LinkedIn profile and experience for this URL, Find TikTok videos using the hashtag skincare

Not supported: Does not handle publishing posts, sending direct messages, or managing social accounts. Use for reading public social profiles, posts, comments, transcripts, and search results only.

The InsightSocial API reads public social data from 25 platforms, including LinkedIn, TikTok, Instagram, Facebook, YouTube, X (Twitter), and Reddit, through one API key and one credit balance. It looks up profiles, posts, comments, and search results, and reaches platform-specific data such as LinkedIn company pages and job posts, YouTube transcripts and trending videos, TikTok hashtag search, and the Facebook and TikTok ad libraries. Schema 2 returns one response shape per entity on every platform, and each call can be priced in advance with dry_run before any credits are spent.

Jentic One on Github View OpenAPI Document

Show dimension breakdown

Foundational Compliance

Base layer of spec validity and structural soundness.

Grade: A+Signals: 4

92%

Lint Results

Aggregated quality score from linter diagnostics, weighted by severity.

100%

Resolution Completeness

Percentage of `$ref` references that resolve successfully.

100%

Specification Validity

Checks whether the API description parses successfully and conforms to its declared specification (e.g., OpenAPI).

100%

Structural Integrity

Structural correctness score based on schema issues using logarithmic dampening.

Developer Experience & Jentic Compatibility

Clarity, completeness, and ingestion readiness for developers and tooling.

Grade: A-Signals: 4

Example Density

How richly the API is illustrated with examples.

100%

Example Validity

Percentage of examples that conform to their schemas.

75%

Response Coverage

Percentage of operations with complete response definitions (success, client error, server error).

100%

Tooling Readiness

Health of API ingestion, bundling, and resolution within Jentic pipelines.

AI-Readiness & Agent Experience

Semantic breadth, depth, and agent comprehension for AI systems.

Grade: C-Signals: 4

59%

Description Coverage

Coverage of descriptions across API elements.

Error Standardization

Coverage of RFC 9457 Problem Details for error responses.

99%

OperationId Quality

Coverage, uniqueness, and casing consistency of operationIds for AI inference.

50%

Summary Coverage

Coverage of summaries across operations/tags/info.

Agent Usability

Functional utility, complexity comfort, and AI orchestration readiness.

Grade: D-Signals: 1

43%

Complexity Comfort

Agent comfort level based on API operational and structural complexity.

Security

Trust, risk posture, and security compliance.

Grade: C-Signals: 1

50%

Authentication Strength

Average quality of security schemes based on authentication method strength (weakest link for OAuth2).

AI Discoverability

Findability, semantic richness, and reasoning readiness.

Grade: A-Signals: 1

73%

Descriptive Richness

Clarity and depth of descriptions across API elements.

Connect the InsightSocial API to your agent

Capabilities

Start building with InsightSocial API

Use Cases

Key Endpoints

Why Jentic?

Related APIs

FAQs

Insightsocial App InsightSocial API

Jentic AI Readiness Score

InsightSocial API

Foundational Compliance

Lint Results

Resolution Completeness

Specification Validity

Structural Integrity

Developer Experience & Jentic Compatibility

Example Density

Example Validity

Response Coverage

Tooling Readiness

AI-Readiness & Agent Experience

Description Coverage

Error Standardization

OperationId Quality

Summary Coverage

Agent Usability

Complexity Comfort

Security

Authentication Strength

AI Discoverability

Descriptive Richness