Agentic Index
Exa vs Jina AI (2026)
Exa last verified ·Jina AI last verified
Two ways to give an agent the web, priced for developers. That verdict is the Agentic Index coverage score, graded from each vendor's own published materials.
Exa is a neural search API that retrieves by meaning and returns token efficient contents ready for a model, pay as you go, with $10 of free credit every month plus $10 to start, and search from $4 per 1,000 requests on Lite and $7 on Auto. Jina is a broader search foundation platform with a Reader, web search, embeddings and a reranker, on a token top up model with a generous free trial. Choose Exa if search quality is the whole job. Choose Jina if you also need the embedding and reranking pieces from the same vendor.
On the Agentic Index agent infrastructure ranking, neither Exa nor Jina AI clears the bar, which asks for all five production contract capabilities documented in full. Each documents two of the five in full. 33 of the 186 vendors in the lane clear it. See the agent infrastructure ranking
This comparison is published by Agentic Index, an independent agentic AI vendor research platform. Exa and Jina AI are each graded against the same 14 capability Agentic Index taxonomy, from the vendor's own public materials under the Agentic Index verification standard, alongside 1,084 researched vendors. No vendor pays for placement and no vendor has reviewed this page. How this evidence is graded
Choose Exa if
- Retrieval by meaning is the capability, and you want it as one clean API call.
- Token efficient page contents matter because context window cost is a real line item.
- Per request pricing is easier to reason about than token top ups.
Choose Jina AI if
- You need more than search, and embeddings and reranking from one vendor reduce your stack.
- The Reader turning arbitrary pages into clean text is the piece you actually want.
- You need models you can run air gapped in your own infrastructure, or requests processed inside the EU.
| Feature | E Exa |
J Jina AI |
|---|---|---|
| Action & orchestration | ||
|
Integrations & Tool Calling Ability to connect agents to real systems through native integrations, OAuth-authenticated actions, custom tools, APIs, webhooks, or MCP-compatible tools. |
||
|
ExaIntegrations & Tool Calling An agent reads the web and partner data through Exa's tools for search, contents, answer, monitors and the Exa Agent. Exa Connect adds partner sources inside an Agent run, among them Fiber.ai, Similarweb, Baselayer and Polymarket, with Exa handling the provider authentication. Every connection only reads. Exa takes no action in another system and holds no per user credentials for one. Sourceexa.ai/llms.txtread 2026-09-22 |
||
|
Jina AIIntegrations & Tool Calling An agent gets read access to the web and to Jina's own models as tools. Reader turns a URL into markdown, s.jina.ai returns search results, and the embedding, reranking and classification APIs are reachable directly or through the MCP server at mcp.jina.ai. The tools only retrieve. They take no actions in other systems and have no per user credentials to scope. Sourcejina.airead 2026-09-22 |
||
|
Workflow Orchestration Ability to sequence, branch, retry, route, and combine deterministic workflow nodes with autonomous agent steps. |
||
|
ExaWorkflow Orchestration Inside an Exa Agent run, the agent orchestrates its own tool calls. It fans out searches, splits list building into parallel subtasks and verifies candidates, and that pipeline is Exa's own ready made agent. The customer supplies a query, an output schema, an effort level and data sources, and cannot define, branch or sequence the steps. The Batch API queues many requests to run asynchronously as jobs. There is no workflow runtime where the customer sequences, branches, retries or routes work, and the customer's own logic lives in its own framework. Sourceexa.ai/docs/agent/quickstartread 2026-09-22 |
||
|
Jina AIWorkflow Orchestration Each call to Jina's API stands alone. Model calls for embeddings, rerank, classify, batch jobs and chat completions run independently, as do Reader requests. The API has no way to sequence, branch or route steps into a workflow, so pipelines that chain Reader, embeddings and reranking are built in the customer's own code or tools. Sourceapi.jina.ai/openapi.jsonread 2026-09-22 |
||
|
Triggers & Channel Coverage How agents wake up and where they work: schedules, webhooks, message events, CRM events, inbox events, chat, email, voice, and collaboration tools. |
||
|
ExaTriggers & Channel Coverage Monitors run an Exa search on a schedule the customer sets, from hourly upward. They drop results already returned, synthesize the new findings and post them to the customer's webhook with a signed payload. A monitor can also be triggered on demand, and Websets monitors keep a dataset refreshed on their own schedule. Exa also answers when someone tags @Exa in Slack. It names no way to subscribe to events in other systems. Sourceexa.ai/docs/monitors/quickstartread 2026-09-22 |
||
|
Jina AITriggers & Channel Coverage Requests are answered as they arrive. The API has no schedule, webhook, event subscription or channel that starts an agent, so work begins only when a person initiates it with a request. Sourceapi.jina.ai/openapi.jsonread 2026-09-22 |
||
| Knowledge & context | ||
|
Knowledge Grounding & RAG Ability to ground agent behavior in company data through document ingestion, retrieval, external knowledge APIs, semantic search, or RAG layers. |
||
|
ExaKnowledge Grounding & RAG The index Exa searches is its own, built from the public web plus select partner data such as people, company and scholarly indexes and premium providers reached through Exa Connect. None of it is the customer's own documents, and Exa names no way for a customer to add its own documents to a structure Exa maintains and queries. Websets imports take a CSV of entities to enrich and filter for a research job. The Enterprise plan includes custom, tailored indexes, and Exa does not say whose content they hold. Sourceexa.ai/docs/search/data/overviewread 2026-09-22 |
||
|
Jina AIKnowledge Grounding & RAG Customers can build a retrieval layer over their own documents from Jina's models. These include multimodal, multilingual embeddings, rerankers, a classifier and a segmenter for chunking, with batch embedding jobs and fine tuning of classifiers on the customer's data. Jina keeps no index or store of the customer's corpus, and the vectors live in the customer's own database or Elasticsearch. Web search and Reader work over the web, not the customer's corpus. Sourcejina.ai/models/llms.txtread 2026-09-22 |
||
|
Memory & State Persistence Ability to persist context across a run, conversation, workflow, user, team, or longer-term memory layer. |
||
|
ExaMemory & State Persistence An Exa Agent run can continue from an earlier one. The previousRunId field carries the earlier run's context into a follow up request, such as asking for ten more results, so the agent picks up where it left off. The team's stored runs can be listed, retrieved and deleted. Continuation is scoped to the team, with no per user scope or editing, and it is switched off under Zero Data Retention. Exa states no retention period and names no memory beyond this continuation. A monitor keeps a record of results it has already returned and uses it to drop duplicates, not as context. Sourceexa.ai/docs/agent/quickstartread 2026-09-22 |
||
|
Jina AIMemory & State Persistence No agent context carries between calls to Jina's APIs. Stored classifiers and batch job outputs are model artifacts and results, and the API has no memory layer for agents. Sourceapi.jina.ai/openapi.jsonread 2026-09-22 |
||
| Control & trust | ||
|
Human Oversight & Guardrails Approval steps, consent checkpoints, escalation rules, structured guardrails, policy constraints, and pause/resume controls. |
||
|
ExaHuman Oversight & Guardrails The agent reads the web and returns data. It takes no action in another system that a person would need to approve. Job controls let a customer stop an Agent run, keeping the results gathered so far, or cancel it, and pause a scheduled monitor, which stops its automatic runs. Stopping a run ends it, and pausing a monitor halts its schedule, so neither holds work for someone to review. Exa names no approval step, consent checkpoint, escalation rule, guardrail or policy constraint, and no run waits for a person. Sourceexa.ai/docs/monitors/quickstartread 2026-09-22 |
||
|
Jina AIHuman Oversight & Guardrails The APIs read, embed and rank content and take no actions in other systems. Jina names no approval step, review queue, escalation rule or policy constraint on what an agent does. A token budget can be set per request to control cost. Sourcejina.airead 2026-09-22 |
||
|
Security, Identity & Governance RBAC, SSO, auditability, encryption, least-privilege tool access, compliance posture, and data handling policy. |
||
|
ExaSecurity, Identity & Governance The SOC 2 reports and Data Processing Agreement are shared through the Trust Center at trust.exa.ai, and Exa says it is SOC 2 Type II certified. The Enterprise plan carries SSO and SCIM for the Exa Dashboard and Zero Data Retention enabled per team. An Exa organization with SSO and directory sync can let Claude reach Exa's MCP server through Okta, so removing a person in Okta ends their access. Team admins invite members, and a Team Management API creates, rate limits and deletes API keys. HIPAA mode with a BAA is available on Enterprise for eligible cached retrieval. Sourceexa.ai/docs/admin/security/overviewread 2026-09-22 |
||
|
Jina AISecurity, Identity & Governance Customers are isolated in dedicated trust zones, with encryption at rest and in transit using keys for each customer. Jina runs internal and external penetration testing, secure development training and design reviews, and its terms offer a GDPR data processing agreement. A per request option keeps processing inside the EU. Access is by API key, and Jina names no SSO, roles or attestation. Sourcejina.ai/legalread 2026-09-22 |
||
|
Observability & Auditability Traces, logs, execution histories, metrics, audit events, and debugging detail for production agent behavior. |
||
|
ExaObservability & Auditability Completed Agent runs are stored with their answer, structured output, citations for each field and a cost breakdown, and can be listed and retrieved later. Each monitor keeps a run history with every run's output and any failure reason. The Team Management API reports usage and cost per API key. While a run streams, its events carry search traces, sources and tool progress grouped by research step. Afterwards only the run's lifecycle events are stored for replay. Outputs and their sources are kept, but Exa does not say whether the step by step trace of prompts, tool calls and retrieved knowledge is kept. It names no audit log, export to monitoring or SIEM systems, or retention period by plan. Sourceexa.ai/docs/agent/quickstartread 2026-09-22 |
||
|
Jina AIObservability & Auditability The API dashboard shows a key's available tokens and usage, and rate limits are published by tier. Token balances and rate limits are billing views. Jina names no per request log, trace or audit record of what an agent sent and received, and no way to inspect prompts, tool calls and outputs step by step. Sourcejina.ai/api-dashboard/pricingread 2026-09-22 |
||
|
Deployment & Data Residency Deployment modes and options, including SaaS, dedicated cloud, VPC, on-prem, hybrid, local runtime, and self-hosting. |
||
|
ExaDeployment & Data Residency Delivery is a hosted API. The only regional control blocks requests from sanctioned countries. There is no dedicated or private cloud, self hosted or on premises option, and customers cannot choose a region or pin model traffic or data storage to specific infrastructure. Zero Data Retention sets how long request data is kept. Sourceexa.ai/docs/admin/security/overviewread 2026-09-22 |
||
|
Jina AIDeployment & Data Residency Models run where the customer chooses. By Jina's account, every model can be deployed fully air gapped in private infrastructure with no external network dependency. Customers can also deploy through their own AWS or Azure account, billed through the cloud provider, and the hosted API has a per request option that keeps infrastructure and data processing inside the EU. Sourcejina.ai/models/llms.txtread 2026-09-22 |
||
| Solution readiness | ||
|
Prebuilt Agents, Templates & Packs Ready-made workflows, packaged employees, templates, blueprints, industry solutions, and role-specific agents that reduce time-to-value. |
||
|
ExaPrebuilt Agents, Templates & Packs The prebuilt piece is Exa Agent, which builds lists, enriches entities and runs deep research, returning cited output validated against the customer's schema. It is also offered in Slack and Google Sheets. Exa publishes Agent Skills for coding agents (Build with Exa, Search and Contents) and example Agent configurations for list building, KYB and job postings. All of them serve one job, research over web and partner data. There is no browsable catalog of workflows, templates or role specific agents beyond the one research agent and three skills. Sourceexa.ai/docs/agent/quickstartread 2026-09-22 |
||
|
Jina AIPrebuilt Agents, Templates & Packs Models (embeddings, rerankers, readers, OCR) and a guide to choosing among them are what Jina publishes. Customers build with these components, and there are no ready made workflows, templates or role specific agents. Sourcejina.ai/models/llms.txtread 2026-09-22 |
||
| Platform extensibility | ||
|
Model Flexibility & Routing Ability to work across multiple foundation models, route tasks to different models, or let buyers bring their own providers and keys. |
||
|
ExaModel Flexibility & Routing Whatever model the customer's agent runs can take Exa's web data. Exa works with OpenAI and Anthropic tool calling, the Vercel AI SDK and AI Gateway, OpenRouter, where it grounds any OpenRouter model, open models on Baseten, LangChain, LlamaIndex, CrewAI and Pydantic AI, and any MCP client can connect. Only Exa's own Agent, Answer and page summaries run on models Exa chooses, and the customer picks the model for its own agent. Sourceexa.ai/docs/llms.txtread 2026-09-22 |
||
|
Jina AIModel Flexibility & Routing Whatever model the customer's agent runs can take retrieval from Jina, through its API and an MCP server any client can add. Within Jina's API the customer picks among many embedding, reranking and reader models by setting the model parameter, and the API includes an OpenAI compatible chat completions endpoint. Sourcejina.ai/models/llms.txtread 2026-09-22 |
||
|
APIs, SDKs & MCP Extensibility Composability layer: stable APIs, SDKs, MCP tool consumption/serving, custom tools, and integration into internal systems. |
||
|
ExaAPIs, SDKs & MCP Extensibility Developers call Exa through a REST API with published OpenAPI specifications (search, contents, answer, monitors, batches, the Agent API, and a Team Management API for keys), official Python and JavaScript SDKs, an endpoint compatible with the OpenAI SDK for chat completions and the Responses API, a hosted MCP server with OAuth, and Agent Skills for coding agents. Sourceexa.ai/llms.txtread 2026-09-22 |
||
|
Jina AIAPIs, SDKs & MCP Extensibility An OpenAPI specification is published for Jina's API, covering embeddings, rerank, classify, train, models, batch jobs and OpenAI compatible chat completions. The Reader and search endpoints sit at r.jina.ai and s.jina.ai, and Jina also offers an MCP server at mcp.jina.ai, a CLI and llms.txt guides for coding agents. Sourceapi.jina.ai/openapi.jsonread 2026-09-22 |
||
|
Testing, Debugging & Optimization Testing, debugging, scoring, retries, fallbacks, quality gates, and optimization loops for improving agent workflows before and after deployment. |
||
|
ExaTesting, Debugging & Optimization Published evaluations and open source benchmarks measure Exa's own search quality, latency and research performance, not the customer's agent. Exa names no fixtures, test datasets, scoring or quality gates for the customer's agent workflows. Citations and confidence on Exa's output let a builder check sources. Sourceexa.ai/llms.txtread 2026-09-22 |
||
|
Jina AITesting, Debugging & Optimization Research papers and benchmark results cover Jina's own models, and a speed test covers Reader. None of these tests or scores the customer's agent, and Jina names no testing, scoring or quality gate for the customer's agent workflows. Sourcejina.ai/models/llms.txtread 2026-09-22 |
||
| Specialist automation | ||
|
Browser & Computer Use Browser, desktop, or remote/local computer control for workflows that cannot be handled through stable APIs alone. |
||
|
ExaBrowser & Computer Use The Contents API extracts clean content from any URL, including pages rendered with JavaScript, PDFs and complex layouts, and fetches live when the indexed copy is older than the caller allows. Exa's crawler reads the public web while respecting robots rules and does not bypass logins, paywalls or CAPTCHAs. It reads and renders pages that have no API through scraping and a headless fetch. Exa names no interactive control of a browser or computer, such as clicking, typing, filling forms or operating a logged in session. Sourceexa.ai/llms.txtread 2026-09-22 |
||
|
Jina AIBrowser & Computer Use The Reader loads a page in a browser engine Jina runs, with options for viewport size, cookies for authenticated pages, waiting for a selector, removing elements and running custom JavaScript on the page before it extracts the content as markdown. It works as a headless browser fetch for extraction, and an agent cannot use it to click through or operate an interface step by step. Sourcejina.airead 2026-09-22 |
||
Pricing snapshot
Sourced from the Index pricing dataset · open each vendor's profile for full detail.
| Pricing | E Exa |
J Jina AI |
|---|---|---|
|
Entry price Lowest public entry point |
Usage based · $10 free credit/mo plus $10 at sign up · Lite search $4/1k requests | Free API key tokens · pay-as-you-go token top-ups · premium keys for higher limits · AWS and Azure deployment |
|
Pricing confidence How public the numbers are |
Public, exact | Public, partial |
|
Billing Primary billing axis |
Per 1,000 requests by endpoint and search type, plus per 1,000 pages for contents and summaries; Agent runs per run by effort or per Agent Compute Unit | tokens processed |
|
Variable cost Workload / overage exposure |
Medium variable cost | Medium variable cost |
|
Free tier / trial Try before you buy |
Free tier
|
Free tierTrial
|
|
Buying motion Self-serve vs sales call |
Self-serve | Mixed |
|
Pricing verified When this pricing was last checked |
Product updates
Newest first, each linked to its source.
Exa
-
· Agent capability
Podcasts are now part of the Exa index: 3.2 million episodes from 119,000 shows, each with a full transcript, across all endpoints.
Source -
· MCP / tool calling / API
Exa 3.0 brings a larger embedding model, makes Dynamic Highlights generally available at no extra charge, and adds 1.27 billion ecommerce listings, more than 211 million local businesses, real time news, sports, weather and market data, and flights, events, transit and podcasts to its index.
Source -
· Agent capability
Exa launched Agent Ultra, its highest effort mode for exhaustive research and building large lists of entities.
Source
Jina AI
-
· Agent capability
Jina AI released jina-ocr-v1, a 3.4 billion parameter vision language model that converts document pages to Markdown in a single pass and is built to run on low budget GPUs.
Source -
· Agent capability
Jina AI released jina-reranker-v3.5, a 0.6-billion parameter listwise reranker featuring hybrid attention and self-distillation.
Source -
· Deployment / data residency
Jina AI introduced Jina On-Prem, a fully self-contained installation suite that packages all 28 of its embedding and reranking models into ready-to-deploy Docker containers.
Source
Jina AI was acquired by Elastic in October 2025 and continues to sell its models and APIs under its own brand.
More comparisons with Exa or Jina AI
Other matchups in agent infrastructure platforms
Not the pairing you were after? These compare a different set of agent infrastructure platforms on the same 14 capabilities.